A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

## A

abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  absolute value.
abs() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  absolute value.
Abs - Class in org.apache.commons.math3.analysis.function
  Absolute value function.
Abs() - Constructor for class org.apache.commons.math3.analysis.function.Abs
abs() - Method in class org.apache.commons.math3.complex.Complex
  Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the absolute value of instance.
abs() - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns the absolute value of this `BigFraction`.
abs() - Method in class org.apache.commons.math3.fraction.Fraction
  Returns the absolute value of this fraction.
abs() - Method in interface org.apache.commons.math3.RealFieldElement
  absolute value.
abs() - Method in class org.apache.commons.math3.util.Decimal64
  absolute value.
abs(int) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(long) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(float) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(double) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
  Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Build an instance with a specified thresholds.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Build an instance with a specified thresholds.
AbstractCurveFitter - Class in org.apache.commons.math3.fitting
  Base class that contains common code for fitting parametric univariate real functions `y = f(pi;x)`, where `x` is the independent variable and the `pi` are the parameters.
AbstractCurveFitter() - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter
AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
  Vector function for computing function theoretical values.
AbstractCurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `AbstractUnivariateDifferentiableSolver`
AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Construct a solver with given absolute accuracy.
AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Construct a solver with given accuracies.
AbstractEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
  An implementation of `LeastSquaresProblem.Evaluation` that is designed for extension.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Basic implementation of `FieldMatrix` methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Create a new FieldMatrix with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.math3.fraction
  Common part shared by both `FractionFormat` and `BigFractionFormat`.
AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
  Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use `AbstractIntegerDistribution.AbstractIntegerDistribution(RandomGenerator)` instead.
AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
AbstractIntegrator - Class in org.apache.commons.math3.ode
  Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
  Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
  Build an instance with a null name.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Simple constructor with default settings.
AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
  Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
  Constructor, copying the input representation.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
  Constructor, copying the input representation.
AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
  Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
  Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math3.optim
  Base class for implementing optimization problems.
AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem
  Create an `AbstractOptimizationProblem` from the given data.
AbstractParameterizable - Class in org.apache.commons.math3.ode
  This abstract class provides boilerplate parameters list.
AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
  Simple constructor.
AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
  Simple constructor.
AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given accuracies.
AbstractRandomGenerator - Class in org.apache.commons.math3.random
  Abstract class implementing the `RandomGenerator` interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
  Construct a RandomGenerator.
AbstractRealDistribution - Class in org.apache.commons.math3.distribution
  Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use `AbstractRealDistribution.AbstractRealDistribution(RandomGenerator)` instead.
AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
AbstractRealMatrix - Class in org.apache.commons.math3.linear
  Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
  Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
  Create a new RealMatrix with the supplied row and column dimensions.
AbstractRegion<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Abstract class for all regions, independently of geometry type or dimension.
AbstractRegion(double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region representing the whole space.
AbstractRegion(BSPTree<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region from an inside/outside BSP tree.
AbstractRegion(Collection<SubHyperplane<S>>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a Region from a Boundary REPresentation (B-rep).
AbstractRegion(Hyperplane<S>[], double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a convex region from an array of bounding hyperplanes.
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
AbstractSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the simplex concept.
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractStepInterpolator - Class in org.apache.commons.math3.ode.sampling
  This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Simple constructor.
AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
  Abstract implementation of the `StorelessUnivariateStatistic` interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class implements the dimension-independent parts of `SubHyperplane`.
AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Build a sub-hyperplane from an hyperplane and a region.
AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
  Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
  Abstract base class for all implementations of the `UnivariateStatistic` interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
AbstractWell - Class in org.apache.commons.math3.random
  This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator.
AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using a single int seed.
AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using an int array seed.
AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using a single long seed.
acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Accept a step, triggering events and step handlers.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc cosine operation.
acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc cosine of a derivative structure.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Arc cosine operation.
Acos - Class in org.apache.commons.math3.analysis.function
  Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
acos() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse cosine of this complex number.
acos() - Method in class org.apache.commons.math3.dfp.Dfp
  Arc cosine operation.
acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-cosine of the argument.
acos() - Method in interface org.apache.commons.math3.RealFieldElement
  Arc cosine operation.
acos() - Method in class org.apache.commons.math3.util.Decimal64
  Arc cosine operation.
acos(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the arc cosine of a number.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic cosine operation.
acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic cosine of a derivative structure.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Inverse hyperbolic cosine operation.
Acosh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
acosh() - Method in class org.apache.commons.math3.dfp.Dfp
  Inverse hyperbolic cosine operation.
acosh() - Method in interface org.apache.commons.math3.RealFieldElement
  Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.math3.util.Decimal64
  Inverse hyperbolic cosine operation.
acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic cosine of a number.
AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  Base class for `Adams-Bashforth` and `Adams-Moulton` integrators.
AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Build an Adams integrator with the given order and step control parameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
  Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Build an integrator with the given stepsize bounds.
add(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '+' operator.
add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute this + a.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform addition of two derivative structures.
add(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute this + a.
add(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  '+' operator.
Add - Class in org.apache.commons.math3.analysis.function
  Add the two operands.
Add() - Constructor for class org.apache.commons.math3.analysis.function.Add
add(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Adds functions.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Adds functions.
add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.add(UnivariateDifferentiableFunction...)`
add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this + addend)`.
add(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this + addend)`, with `addend` interpreted as a real number.
add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Computes the sum of two quaternions.
add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the sum of the instance and another quaternion.
add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Add x to this.
add(double) - Method in class org.apache.commons.math3.dfp.Dfp
  '+' operator.
add(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this + a.
add(double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
  Adds a point to the sample.
add(double, double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
  Adds a point to the sample.
add(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
  Adds a point to the sample.
add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `BigInteger`, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `integer`, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `long`, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Add an integer to the fraction.
add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Add a vector to the instance.
add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Add a scaled vector to the instance.
add(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a vector to the instance.
add(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a vector to the instance.
add(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a scaled vector to the instance.
add(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a scaled vector to the instance.
add(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a scaled vector to the instance.
add(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Add a scaled vector to the instance.
add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Add a vector to the instance.
add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Add a scaled vector to the instance.
add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Add a vector to the instance.
add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Add a scaled vector to the instance.
add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Add a vector to the instance.
add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the sum of `this` and `m`.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Add `m` to this matrix.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Compute the sum of `this` and `m`.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the sum of `this` and `v`.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the sum of `this` and `v`.
add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the sum of this vector and `v`.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute the sum of `this` and `m`.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the sum of `this` and `m`.
add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Compute the sum of this matrix and `m`.
add(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Compute the sum of `this` and `m`.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the sum of `this` and `v`.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Compute the sum of this matrix and `m`.
add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Compute the sum of this vector and `v`.
add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the sum of `this` and `m`.
add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the sum of this vector and `v`.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Optimized method to add sparse vectors.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Compute the sum of `this` and `v`.
add(double) - Method in interface org.apache.commons.math3.RealFieldElement
  '+' operator.
add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this + a.
add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this + a.
add(double) - Method in class org.apache.commons.math3.util.Decimal64
  '+' operator.
addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Add two long integers, checking for overflow.
addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
  Add the given chromosome to the population.
addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Add a `Collection` of chromosomes to this `Population`.
addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds the observations represented by the elements in `data`.
addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds elements to the end of this expandable array
addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds several element to the end of this expandable array.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add an event handler to the integrator.
addInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Add in place.
addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
  Attaches a listener to this manager.
ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ExpansionMode.ADDITIVE` instead.
addLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Adds a link from neuron `a` to neuron `b`.
addMessage(Localizable, Object...) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Adds a message.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Adds a series of observations to the regression model.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Add a parameter Jacobian provider.
addPoint(T) - Method in class org.apache.commons.math3.ml.clustering.Cluster
  Add a point to this cluster.
addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Deprecated.
  Add a point to this cluster.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Stores a rule.
addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
  Add a sample point.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Add a sample point.
addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Add a set of secondary equations to be integrated along with the primary set.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add a step handler to this integrator.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
  Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Add a value to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Add a value to the data
addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Advance an entry up to the next nonzero one.
advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Advance iterator one step further.
advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Advance iterator one step further.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  An aggregator for `SummaryStatistics` from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AgrestiCoullInterval - Class in org.apache.commons.math3.stat.interval
  Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
AgrestiCoullInterval() - Constructor for class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
AklToussaintHeuristic - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
  A simple heuristic to improve the performance of convex hull algorithms.
align(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Make our exp equal to the supplied one, this may cause rounding.
AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
  The kinds of solutions that a `(bracketed univariate real) root-finding algorithm` may accept as solutions.
AlternativeHypothesis - Enum in org.apache.commons.math3.stat.inference
  Represents an alternative hypothesis for a hypothesis test.
angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the angular separation between two vectors.
angle(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the angular separation between two vectors.
angle(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the angular separation between two vectors.
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the angular separation between two vectors.
angle(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the angular separation between two vectors.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Computes the ANOVA F-value for a collection of `double[]` arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Computes the ANOVA P-value for a collection of `double[]` arrays.
anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Computes the ANOVA P-value for a collection of `SummaryStatistics`.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math3.linear
  Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a T to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a new vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a new vector by appending a double to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Construct a vector by appending a T to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Construct a new vector by appending a double to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.RealVector
  Construct a new vector by appending a double to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Construct a vector by appending a T to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Append another model at the end of the instance.
append(StorelessCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Appends `sc` to this, effectively aggregating the computations in `sc` with this.
append(SimpleRegression) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Appends data from another regression calculation to this one.
apply(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform a point of a space.
apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform an hyperplane of a space.
apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform a sub-hyperplane embedded in an hyperplane.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the rotation to a vector.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the rotation to a vector.
applyInverseTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of a rotation to a vector.
applyInverseTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the inverse of a rotation to another rotation.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the rotation to a vector.
applyInverseTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the instance to another rotation.
applyTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the rotation to a vector.
applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the rotation to a vector.
applyTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the rotation to a vector stored in an array.
applyTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the rotation to a vector stored in an array.
applyTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply a rotation to a vector.
applyTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the instance to another rotation.
applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply the instance to another rotation.
applyTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Apply a rotation to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the rotation to a vector.
applyTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the rotation to a vector stored in an array.
applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the instance to another rotation.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Transform a region.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Apply a transform to the instance.
approximateP(double, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
approximateP(double, int, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
Arc - Class in org.apache.commons.math3.geometry.spherical.oned
  This class represents an arc on a circle.
Arc(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.Arc
  Simple constructor.
ArcsSet - Class in org.apache.commons.math3.geometry.spherical.oned
  This class represents a region of a circle: a set of arcs.
ArcsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build an arcs set representing the whole circle.
ArcsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build an arcs set corresponding to a single arc.
ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build an arcs set from an inside/outside BSP tree.
ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build an arcs set from a Boundary REPresentation (B-rep).
ArcsSet.InconsistentStateAt2PiWrapping - Exception in org.apache.commons.math3.geometry.spherical.oned
  Specialized exception for inconsistent BSP tree state inconsistency.
ArcsSet.InconsistentStateAt2PiWrapping() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping
  Simple constructor.
ArcsSet.Split - Class in org.apache.commons.math3.geometry.spherical.oned
  Class holding the results of the `split` method.
ArgUtils - Class in org.apache.commons.math3.exception.util
  Utility class for transforming the list of arguments passed to constructors of exceptions.
ArithmeticUtils - Class in org.apache.commons.math3.util
  Some useful, arithmetics related, additions to the built-in functions in `Math`.
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Implementation of FieldMatrix using a `FieldElement`[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new (column) `FieldMatrix<T>` using `v` as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new (column) `FieldMatrix<T>` using `v` as the data for the unique column of the created matrix.
Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
  Implementation of `RealMatrix` using a `double[][]` array to store entries.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new `RealMatrix` using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new (column) RealMatrix using `v` as the data for the unique column of the created matrix.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  This class implements the `FieldVector` interface with a `FieldElement` array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector of zeroes.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Deprecated.
  as of 3.2, replaced by `ArrayFieldVector.ArrayFieldVector(FieldVector, FieldVector)`
ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Deprecated.
  as of 3.2, replaced by `ArrayFieldVector.ArrayFieldVector(FieldVector, FieldElement[])`
ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Deprecated.
  as of 3.2, replaced by `ArrayFieldVector.ArrayFieldVector(FieldElement[], FieldVector)`
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math3.linear
  This class implements the `RealVector` interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from part of an array.
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc sine operation.
asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc sine of a derivative structure.
asin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Arc sine operation.
Asin - Class in org.apache.commons.math3.analysis.function
  Arc-sine function.
Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
asin() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse sine of this complex number.
asin() - Method in class org.apache.commons.math3.dfp.Dfp
  Arc sine operation.
asin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-sine of the argument.
asin() - Method in interface org.apache.commons.math3.RealFieldElement
  Arc sine operation.
asin() - Method in class org.apache.commons.math3.util.Decimal64
  Arc sine operation.
asin(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the arc sine of a number.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic sine operation.
asinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic sine of a derivative structure.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Inverse hyperbolic sine operation.
Asinh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-sine function.
Asinh() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
asinh() - Method in class org.apache.commons.math3.dfp.Dfp
  Inverse hyperbolic sine operation.
asinh() - Method in interface org.apache.commons.math3.RealFieldElement
  Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.math3.util.Decimal64
  Inverse hyperbolic sine operation.
asinh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic sine of a number.
asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an ordered list of intervals representing the instance.
asList() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build an ordered list of arcs representing the instance.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc tangent operation.
atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc tangent of a derivative structure.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Arc tangent operation.
Atan - Class in org.apache.commons.math3.analysis.function
  Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
atan() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse tangent of this complex number.
atan() - Method in class org.apache.commons.math3.dfp.Dfp
  Arc tangent operation.
atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
atan() - Method in interface org.apache.commons.math3.RealFieldElement
  Arc tangent operation.
atan() - Method in class org.apache.commons.math3.util.Decimal64
  Arc tangent operation.
atan(double) - Static method in class org.apache.commons.math3.util.FastMath
  Arctangent function
atan2(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Two arguments arc tangent operation.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Two arguments arc tangent operation.
atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute two arguments arc tangent of a derivative structure.
atan2(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Two arguments arc tangent operation.
atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Two arguments arc tangent operation.
Atan2 - Class in org.apache.commons.math3.analysis.function
  Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Two arguments arc tangent operation.
atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement
  Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Two arguments arc tangent operation.
atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Two arguments arctangent function
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic tangent operation.
atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic tangent of a derivative structure.
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Inverse hyperbolic tangent operation.
Atanh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
atanh() - Method in class org.apache.commons.math3.dfp.Dfp
  Inverse hyperbolic tangent operation.
atanh() - Method in interface org.apache.commons.math3.RealFieldElement
  Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.math3.util.Decimal64
  Inverse hyperbolic tangent operation.
atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic tangent of a number.
atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-tangent of the argument.
AVLTree<T extends Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements AVL trees.
AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Build an empty tree.
AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements AVL trees nodes.

## B

ballOnSupport(List<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.SupportBallGenerator
  Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<Vector3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
  Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
  Create a ball whose boundary lies on prescribed support points.
BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration
  Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given iteration counts.
BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.analysis.solvers
  Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given accuracies.
BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateMultiStartOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseRuleFactory<T extends Number> - Class in org.apache.commons.math3.analysis.integration.gauss
  Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
BaseSecantSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver.Method - Enum in org.apache.commons.math3.analysis.solvers
  Secant-based root-finding methods.
BaseUnivariateOptimizer<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) rootfinding algorithms.
Beta - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the Beta family of functions.
BetaDistribution - Class in org.apache.commons.math3.distribution
  Implements the Beta distribution.
BetaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Build a new instance.
BetaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Build a new instance.
BetaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Creates a β distribution.
BetaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Creates a β distribution.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
BicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal`.
bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal` following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal` following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
  Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math3.fraction
  Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed `BigInteger`, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as `BigInteger`.
BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed `int`, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as simple `int`.
BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as simple `long`.
BigFractionField - Class in org.apache.commons.math3.fraction
  Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Convert a `FieldMatrix`/`BigFraction` matrix to a `RealMatrix`.
BigReal - Class in org.apache.commons.math3.util
  Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math3.util
  Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math3.genetics
  Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
  Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
  Constructor.
BinaryMutation - Class in org.apache.commons.math3.genetics
  Mutation for `BinaryChromosome`s.
BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.binomialCoefficient(int, int)`
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns an exact representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.binomialCoefficientDouble(int, int)`
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns a `double` representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.binomialCoefficientLog(int, int)`
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns the natural `log` of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
BinomialConfidenceInterval - Interface in org.apache.commons.math3.stat.interval
  Abstract base class to generate confidence intervals for a binomial proportion.
BinomialDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
  Create a binomial distribution with the given number of trials and probability of success.
BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
  Creates a binomial distribution.
BinomialTest - Class in org.apache.commons.math3.stat.inference
  Implements binomial test statistics.
BinomialTest() - Constructor for class org.apache.commons.math3.stat.inference.BinomialTest
binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
  Returns whether the null hypothesis can be rejected with the given confidence level.
binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
  Returns the observed significance level, or p-value, associated with a Binomial test.
BisectionSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver.
BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver.
BitsStreamGenerator - Class in org.apache.commons.math3.random
  Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator
  Creates a new random number generator.
BivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new dense matrix copying entries from block layout data.
blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.apache.commons.math3.linear
  Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new dense matrix copying entries from block layout data.
BOBYQAOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
BOBYQAOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
BoundaryAttribute<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Class holding boundary attributes.
BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Simple constructor.
BoundaryProjection<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Class holding the result of point projection on region boundary.
BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
  Constructor from raw elements.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Maps an array from bounded to unbounded.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Map an array from bounded to unbounded.
bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  This method simply calls `bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)` with `q` and `r` set to 1.0 and `maximumIterations` set to `Integer.MAX_VALUE`.
bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  This method simply calls `bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)` with `q` and `r` set to 1.0.
bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  This method attempts to find two values a and b satisfying `lowerBound <= a < initial < b <= upperBound` `f(a) * f(b) <= 0` If `f` is continuous on `[a,b]`, this means that `a` and `b` bracket a root of `f`.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
  Interface for `(univariate real) root-finding algorithms` that maintain a bracketed solution.
BracketFinder - Class in org.apache.commons.math3.optim.univariate
  Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
  Constructor with default values `100, 50` (see the `other constructor`).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
  Create a bracketing interval finder.
BracketFinder - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Constructor with default values `100, 50` (see the `other constructor`).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Create a bracketing interval finder.
BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
  This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Construct a solver.
BrentOptimizer - Class in org.apache.commons.math3.optim.univariate
  For a function defined on some interval `(lo, hi)`, this class finds an approximation `x` to the point at which the function attains its minimum.
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
  The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
  The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver with default accuracy (1e-6).
BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
BSPTree<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class represent a Binary Space Partition tree.
BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a tree having only one root cell representing the whole space.
BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a tree having only one root cell representing the whole space.
BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a BSPTree from its underlying elements.
BSPTree.LeafMerger<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface gather the merging operations between a BSP tree leaf and another BSP tree.
BSPTreeVisitor<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface is used to visit `BSP tree` nodes.
BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
build() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Construct a `LeastSquaresProblem` from the data in this builder.
build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build an initial simplex.
build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build an initial simplex.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Deprecated.
  as of 3.2, replaced by `MathArrays.buildArray(Field, int, int)`
buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Deprecated.
  as of 3.2, replaced by `MathArrays.buildArray(Field, int)`
buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.util.MathArrays
  Build an array of elements.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
  Build a double dimension array of elements.
buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Build a convex region from a collection of bounding hyperplanes.
buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region using the instance as a prototype.
buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Build a region using the instance as a prototype.
buildNew(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
  Build a sub-hyperplane from an hyperplane and a region.
byteValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `byte`.

## C

calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the adjusted R-squared statistic, defined by the formula
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  used by `WeibullDistribution.getNumericalMean()`
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Used by `ZipfDistribution.getNumericalMean()`.
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
  used by `FDistribution.getNumericalVariance()`
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Used by `HypergeometricDistribution.getNumericalVariance()`.
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  used by `WeibullDistribution.getNumericalVariance()`
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Used by `ZipfDistribution.getNumericalVariance()`.
calculateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the variance of the y values.
CanberraDistance - Class in org.apache.commons.math3.ml.distance
  Calculates the Canberra distance between two points.
CanberraDistance() - Constructor for class org.apache.commons.math3.ml.distance.CanberraDistance
canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
  Checks whether a single increment is allowed.
CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed
  This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
  Simple constructor.
CauchyDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Cauchy distribution.
CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution with the median equal to zero and scale equal to one.
CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution.
CauchyDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution.
cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Cubic root.
cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Cubic root.
Cbrt - Class in org.apache.commons.math3.analysis.function
  Cube root function.
Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
cbrt() - Method in class org.apache.commons.math3.dfp.Dfp
  Cubic root.
cbrt() - Method in interface org.apache.commons.math3.RealFieldElement
  Cubic root.
cbrt() - Method in class org.apache.commons.math3.util.Decimal64
  Cubic root.
cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the cubic root of a number.
cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Deprecated.
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Deprecated.
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Calculates \(P(D_n < d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Deprecated.
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Calculates `P(D_n < d)`.
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the smallest whole number larger than instance.
Ceil - Class in org.apache.commons.math3.analysis.function
  `ceil` function.
Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
ceil() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to an integer using the round ceil mode.
ceil() - Method in interface org.apache.commons.math3.RealFieldElement
  Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math3.util.Decimal64
  Get the smallest whole number larger than instance.
ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the smallest whole number larger than x.
CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  A Cluster used by centroid-based clustering algorithms.
CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math3.ml.clustering.CentroidCluster
  Build a cluster centered at a specified point.
centroidOf(Cluster<T>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Computes the centroid for a cluster.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
  Deprecated.
  Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
  Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
  Returns the centroid of the given Collection of points.
ChebyshevDistance - Class in org.apache.commons.math3.ml.distance
  Calculates the L∞ (max of abs) distance between two points.
ChebyshevDistance() - Constructor for class org.apache.commons.math3.ml.distance.ChebyshevDistance
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is addition compatible with the instance.
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are addition compatible.
checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Check binomial preconditions.
checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Check rules set compatibility.
checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.checkContractExpand(double,double)` instead.
checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the convergence checker.
checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the convergence checker.
checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
  Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
  Check that all the elements are real numbers.
checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
  Check if an index is valid.
checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrix indices are valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is multiplication compatible with the instance.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are multiplication compatible
checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check all entries of the input array are >= 0.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
  Checks that an object is not null.
checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
  Checks that an object is not null.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted in strictly increasing order.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Performs all dimension checks on the parameters of `solve` and `solveInPlace`, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Performs all dimension checks on the parameters of `solve` and `solveInPlace`, and throws an exception if one of the checks fails.
checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Check a point with respect to the interval.
checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region.
checkPoint(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region.
checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region starting at a given node.
checkPoint(BSPTree<S>, Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region starting at a given node.
checkPoint(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check a point with respect to the region.
checkPoint(double) - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Check a point with respect to the arc.
checkPositive(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that all entries of the input array are strictly positive.
checkRectangular(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
  Throws DimensionMismatchException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if a row index is valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is subtraction compatible with the instance.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are subtraction compatible
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Checks whether a matrix is symmetric.
checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Asserts that `representation` can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
  Asserts that `representation` can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
  Asserts that `representation` can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Check if instance dimension is equal to some expected value.
chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes the Chi-Square statistic comparing `observed` and `expected` frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes the Chi-Square statistic associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
chiSquare(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquare(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes a Chi-Square two sample test statistic comparing bin frequency counts in `observed1` and `observed2`.
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the chi-squared distribution.
ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquaredDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquareTest - Class in org.apache.commons.math3.stat.inference
  Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.apache.commons.math3.stat.inference.ChiSquareTest
  Construct a ChiSquareTest
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the `observed` frequency counts to those in the `expected` array.
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level `alpha`.
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in `observed1` and `observed2`.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
CholeskyDecomposition - Class in org.apache.commons.math3.linear
  Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
  Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
  Calculates the Cholesky decomposition of the given matrix.
Chromosome - Class in org.apache.commons.math3.genetics
  Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
ChromosomePair - Class in org.apache.commons.math3.genetics
  A pair of `Chromosome` objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
  Create a chromosome pair.
Circle - Class in org.apache.commons.math3.geometry.spherical.twod
  This class represents an oriented great circle on the 2-sphere.
Circle(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
  Build a great circle from its pole.
Circle(S2Point, S2Point, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
  Build a great circle from two non-aligned points.
Circle(Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
  Copy constructor.
classes() - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
  Simple constructor.
classify() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
  Removes all observations from this container.
clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Clears the cache used by the default implementation of `AbstractRandomGenerator.nextGaussian()`.
clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Clears the cache used by the default implementation of `BitsStreamGenerator.nextGaussian`.
clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.Frequency
  Clears the frequency table
clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  As the name suggests, clear wipes the internals and reorders everything in the canonical order.
clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Clears all data from the model.
clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Clears internal buffers and resets the regression model.
clear() - Method in interface org.apache.commons.math3.util.DoubleArray
  Clear the double array
clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Clear the array contents, resetting the number of elements to zero.
clear() - Method in class org.apache.commons.math3.util.TransformerMap
  Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Remove all the event handlers that have been added to the integrator.
clearIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
  Clears the IEEE 854 status flags.
clearObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Remove all observations.
clearObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Remove all observations.
clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Remove all the step handlers that have been added to the integrator.
ClopperPearsonInterval - Class in org.apache.commons.math3.stat.interval
  Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
ClopperPearsonInterval() - Constructor for class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
  Closes `valuesFileURL` after use in REPLAY_MODE.
closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the point of the instance closest to another line.
Cluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  Cluster holding a set of `Clusterable` points.
Cluster() - Constructor for class org.apache.commons.math3.ml.clustering.Cluster
  Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
  Perform a cluster analysis on the given set of `Clusterable` instances.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
  Performs DBSCAN cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Performs Fuzzy K-Means cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Runs the K-means++ clustering algorithm.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Runs the K-means++ clustering algorithm.
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `Cluster` instead
Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
  Deprecated.
  Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Deprecated.
  Performs DBSCAN cluster analysis.
cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Deprecated.
  Runs the K-means++ clustering algorithm.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Deprecated.
  Runs the K-means++ clustering algorithm.
Clusterable - Interface in org.apache.commons.math3.ml.clustering
  Interface for n-dimensional points that can be clustered together.
Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `Clusterable` instead
Clusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  Base class for clustering algorithms.
Clusterer(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.Clusterer
  Build a new clusterer with the given `DistanceMeasure`.
ClusterEvaluator<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
  Base class for cluster evaluation methods.
ClusterEvaluator() - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Creates a new cluster evaluator with an `EuclideanDistance` as distance measure.
ClusterEvaluator(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Creates a new cluster evaluator with the given distance measure.
CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameter `lambda` must be passed with the call to `optimize` (whereas in the current code it is set to an undocumented value).
CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameter `lambda` must be passed with the call to `optimize` (whereas in the current code it is set to an undocumented value)..
CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameters `lambda` and `inputSigma` must be passed with the call to `optimize`.
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameters `lambda` and `inputSigma` must be passed with the call to `optimize`.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
  Deprecated.
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
  Deprecated.
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns a MultivariateFunction h(x[]) defined by
cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
Combinations - Class in org.apache.commons.math3.util
  Utility to create combinations `(n, k)` of `k` elements in a set of `n` elements.
Combinations(int, int) - Constructor for class org.apache.commons.math3.util.Combinations
  Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as `int[]` arrays.
combinationsIterator(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as `int[]` arrays.
CombinatoricsUtils - Class in org.apache.commons.math3.util
  Combinatorial utilities.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns the univariate function
  `h(x) = combiner(f(x), g(x))`.
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns a new vector representing `a * this + b * y`, the linear combination of `this` and `y`.
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Returns a new vector representing `a * this + b * y`, the linear combination of `this` and `y`.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Updates `this` with the linear combination of `this` and `y`.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Updates `this` with the linear combination of `this` and `y`.
comparator() - Method in class org.apache.commons.math3.util.Combinations
  Defines a lexicographic ordering of combinations.
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation of a permutation corresponding to the `data` sorted by `comparator`.
compare(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
  Tries to atomically update the neuron's features.
compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
  Compares two chromosomes based on their fitness.
compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Compares this ordered T-uple with the specified object.
compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation returns the same value as `new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))`
compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Compares two numbers given some amount of allowed error.
compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Compares two numbers given some amount of allowed error.
complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Check if a parameter is supported and throw an IllegalArgumentException if not.
complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Negate the mantissa of this by computing the complement.
Complex - Class in org.apache.commons.math3.complex
  Representation of a Complex number, i.e.
Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
  Create a complex number given only the real part.
Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math3.complex
  Representation of the complex numbers field.
ComplexFormat - Class in org.apache.commons.math3.complex
  Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
ComplexUtils - Class in org.apache.commons.math3.complex
  Static implementations of common `Complex` utilities functions.
compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute composition of the instance by a univariate function.
compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute composition of a derivative structure by a function.
compose(double, double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute composition of the instance by a univariate function.
compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Composes functions.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Composes functions.
compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.compose(UnivariateDifferentiableFunction...)`
CompositeFormat - Class in org.apache.commons.math3.util
  Base class for formatters of composite objects (complex numbers, vectors ...).
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.CanberraDistance
  Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ChebyshevDistance
  Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in interface org.apache.commons.math3.ml.distance.DistanceMeasure
  Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EarthMoversDistance
  Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EuclideanDistance
  Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ManhattanDistance
  Compute the distance between two n-dimensional vectors.
compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Performs an operation on the addressable elements of the array.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the correlation matrix for the columns of the input matrix, using `PearsonsCorrelation.correlation(double[], double[])`.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the cost.
computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the cost.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Get the covariance matrix of the optimized parameters.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get the covariance matrix of the optimized parameters.
computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Compute the objective function value.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the current time derivative of the complete state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
  Compute the derivatives related to the secondary state parameters.
computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
  Computes the empirical distribution using values from the file in `valuesFileURL`, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
  Computes the empirical distribution using values from the file in `valuesFileURL` and `binCount` bins.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
  Return a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
  Compute exp(a).
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Compute some geometrical properties.
computeHitHistogram(Iterable<double[]>, NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Computes the "hit" histogram of a two-dimensional map.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Deprecated.
  Computes the Jacobian matrix.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
  Compute ln(a).
computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
  Compute the jacobian matrix of ODE with respect to main state.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Compute the gradient vector.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Computes the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Compute the objective function value.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
  Compute the Jacobian matrix of ODE with respect to one parameter.
computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Computes the quantization error.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the residuals.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the residuals.
computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Computes the `n`-th roots of unity.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
  Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
  Computes the rule for the given order.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
  Get the current time derivative of the state vector.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes an estimate of the standard deviation of the parameters.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes an estimate of the standard deviation of the parameters.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Compute step grow/shrink factor according to normalized error.
computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Computes the topographic error.
computeU(NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Computes the U-matrix of a two-dimensional map.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the weighted Jacobian matrix.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the Jacobian matrix.
ConfidenceInterval - Class in org.apache.commons.math3.stat.interval
  Represents an interval estimate of a population parameter.
ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math3.stat.interval.ConfidenceInterval
  Create a confidence interval with the given bounds and confidence level.
conjugate() - Method in class org.apache.commons.math3.complex.Complex
  Return the conjugate of this complex number.
ConjugateGradient - Class in org.apache.commons.math3.linear
  This is an implementation of the conjugate gradient method for `RealLinearOperator`.
ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
  Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
  Creates a new instance of this class, with default stopping criterion and custom iteration manager.
ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Constant - Class in org.apache.commons.math3.analysis.function
  Constant function.
Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Always return mu
contains(P) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Check if a point is within the ball or at boundary.
contains(P, double) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Check if a point is within an enlarged ball or at boundary.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Check if the instance contains a point.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance contains a point.
contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check if the line contains a point.
contains(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the instance entirely contains another region.
contains(Region<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the instance entirely contains another region.
containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
  Tests if a NumberTransformer is present in the TransformerMap.
ContinuedFraction - Class in org.apache.commons.math3.util
  Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math3.util.ContinuedFraction
  Default constructor.
ContinuousOutputModel - Class in org.apache.commons.math3.ode
  This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
  Simple constructor.
contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
  Deprecated.
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
  This interface specifies how to check if an optimization algorithm has converged.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
ConvergenceException - Exception in org.apache.commons.math3.exception
  Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
  Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
  Construct the exception with a specific context and arguments.
convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
  Convert an array of primitive doubles to an array of `Complex` objects.
convertToLong(int[]) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
  Converts seed from one representation to another.
ConvexHull<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
  This class represents a convex hull.
ConvexHull2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
  This class represents a convex hull in an two-dimensional euclidean space.
ConvexHull2D(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
  Simple constructor.
ConvexHullGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
  Interface for convex hull generators.
ConvexHullGenerator2D - Interface in org.apache.commons.math3.geometry.euclidean.twod.hull
  Interface for convex hull generators in the two-dimensional euclidean space.
convolve(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the convolution between two sequences.
copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Make a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.RealVector
  Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Copy the instance.
copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Copy the instance.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
  Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a copy of the ResizableDoubleArray.
copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Copy the instance.
copySign(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the instance with the sign of the argument.
copySign(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the instance with the sign of the argument.
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
  Creates an instance that is the same as x except that it has the sign of y.
copySign(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.apache.commons.math3.RealFieldElement
  Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.apache.commons.math3.RealFieldElement
  Returns the instance with the sign of the argument.
copySign(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.util.Decimal64
  Returns the instance with the sign of the argument.
copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the first argument with the sign of the second argument.
copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Copy a submatrix.
correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Correct the current state estimate with an actual measurement.
correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Correct the current state estimate with an actual measurement.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
  A `RandomVectorGenerator` that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Computes the Kendall's Tau rank correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the Pearson's product-moment correlation coefficient between two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation coefficient between the two arrays.
cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Cosine operation.
cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute cosine of a derivative structure.
cos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Cosine operation.
Cos - Class in org.apache.commons.math3.analysis.function
  Cosine function.
Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
cos() - Method in class org.apache.commons.math3.complex.Complex
  Compute the cosine of this complex number.
cos() - Method in class org.apache.commons.math3.dfp.Dfp
  Cosine operation.
cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the cosine of the argument.
cos() - Method in interface org.apache.commons.math3.RealFieldElement
  Cosine operation.
cos() - Method in class org.apache.commons.math3.util.Decimal64
  Cosine operation.
cos(double) - Static method in class org.apache.commons.math3.util.FastMath
  Cosine function.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic cosine operation.
cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic cosine of a derivative structure.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Hyperbolic cosine operation.
Cosh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic cosine function.
Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
cosh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic cosine of this complex number.
cosh() - Method in class org.apache.commons.math3.dfp.Dfp
  Hyperbolic cosine operation.
cosh() - Method in interface org.apache.commons.math3.RealFieldElement
  Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.math3.util.Decimal64
  Hyperbolic cosine operation.
cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic cosine of a number.
cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Computes the cosine of the angle between this vector and the argument.
cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes cos(a) Used when 0 < a < pi/4.
cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Field to become "private" in 4.0. Please use `AbstractLeastSquaresOptimizer.setCost(double)`.
countEvaluations(LeastSquaresProblem, Incrementor) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Count the evaluations of a particular problem.
Covariance - Class in org.apache.commons.math3.stat.correlation
  Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Derives a correlation matrix from a covariance matrix.
create() - Static method in class org.apache.commons.math3.fitting.GaussianCurveFitter
  Creates a default curve fitter.
create() - Static method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
  Creates a default curve fitter.
create(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Create a `LeastSquaresProblem` from the given elements.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Create a `LeastSquaresProblem` from the given elements.
create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Create a `LeastSquaresProblem` from the given elements.
create(int) - Static method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
  Creates a default curve fitter.
create(RealLinearOperator) - Static method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Creates a new instance of this class.
create(K, V) - Static method in class org.apache.commons.math3.util.Pair
  Convenience factory method that calls the `constructor`.
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math3.random.RandomAdaptor
  Factory method to create a `Random` using the supplied `RandomGenerator`.
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
  Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Chebyshev polynomial of the first kind.
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a column `FieldMatrix` using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a column `RealMatrix` using the data from the input array.
createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Builds a new array of `Complex` from the specified two dimensional array of real and imaginary parts.
createConstant(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Create a constant compatible with instance order and number of parameters.
createConstant(double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Factory method creating a constant.
createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Creates and returns a `SummaryStatistics` whose data will be aggregated with those of this `AggregateSummaryStatistics`.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns `dimension x dimension` identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `FieldMatrix` with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `FieldMatrix` whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a `FieldVector` using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Hermite polynomial.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
  Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in interface org.apache.commons.math3.stat.interval.BinomialConfidenceInterval
  Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
  Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.NormalApproximationInterval
  Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.WilsonScoreInterval
  Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createNeuron(double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Creates a neuron and assigns it a unique identifier.
createRandomGenerator(Random) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
  Creates a `RandomDataGenerator` instance that wraps a `Random` instance.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns `dimension x dimension` identity matrix.
createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Builds a new two dimensional array of `double` filled with the real and imaginary parts of the specified `Complex` numbers.
createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `RealMatrix` with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `RealMatrix` whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a `RealVector` using the data from the input array.
createRegion() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
  Returns a new region that is enclosed by the convex hull.
createRegion() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
  Returns a new region that is enclosed by the convex hull.
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Create a row `FieldMatrix` using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Create a row `RealMatrix` using the data from the input array.
createVariable(int, double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Factory method creating an independent variable.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
  Performs a N-point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
  Performs one point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
  Perform a crossover operation on the given chromosomes.
CrossoverPolicy - Interface in org.apache.commons.math3.genetics
  Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the cross-product of the instance with another vector.
crossProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the cross-product of the instance with another vector.
crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the cross-product of two vectors.
crossProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the cross-product of two vectors.
crossProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the cross-product of two vectors.
crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the cross-product of the instance with another vector.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the cross-product of two vectors.
crossProduct(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the cross-product of the instance and the given points.
cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1 (to be removed in 4.0). Please use `AbstractRealDistribution.probability(double,double)` instead.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Deprecated.
  See `RealDistribution.cumulativeProbability(double,double)`
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Deprecated.
  See `RealDistribution.cumulativeProbability(double,double)`
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Deprecated.
  See `RealDistribution.cumulativeProbability(double,double)`
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  As of 3.1. In 4.0, this method will be renamed `probability(double x0, double x1)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  current state
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
  Deprecated.
  As of 3.3. Please use `AbstractCurveFitter` and `WeightedObservedPoints` instead.
CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Simple constructor.
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  as of 3.1 replaced by `CurveFitter.CurveFitter(MultivariateDifferentiableVectorOptimizer)`
CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Simple constructor.
CycleCrossover<T> - Class in org.apache.commons.math3.genetics
  Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
  Creates a new `CycleCrossover` policy.
CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
  Creates a new `CycleCrossover` policy using the given `randomStart` behavior.

## D

DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
  Creates a new instance of a DBSCANClusterer.
DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
  Creates a new instance of a DBSCANClusterer.
DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `DBSCANClusterer` instead
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Deprecated.
  Creates a new instance of a DBSCANClusterer.
DctNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
Decimal64 - Class in org.apache.commons.math3.util
  This class wraps a `double` value in an object.
Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
  Creates a new instance of this class.
Decimal64Field - Class in org.apache.commons.math3.util
  The field of double precision floating-point numbers.
decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
  Permutes the `sequence` of objects of type T according to the permutation this chromosome represents.
decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
  Permutes the `sequence` of objects of type T according to the permutation this chromosome represents.
decompose(double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
  Decompose matrix.
decompose(double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
  Decompose matrix.
DecompositionSolver - Interface in org.apache.commons.math3.linear
  Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Default bin count
DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Default exponent used the weights calculation.
DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.checkFeasableCount`: 0.
DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.diagonalOnly`: 0.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Default convergence criterion.
DEFAULT_EXTEND - Static variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
  The default format for `RealMatrix` objects.
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Default value for `BOBYQAOptimizer.initialTrustRegionRadius`: 10.0 .
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Default value for `BOBYQAOptimizer.initialTrustRegionRadius`: 10.0 .
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ParetoDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.TDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Deprecated.
  as of 3.2 not used anymore, will be removed in 4.0
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_ISACTIVECMA - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.isActiveCMA`: true.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default maximal iteration count.
DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.maxIterations`: 30000.
DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Default number of surface elements that composes the microsphere.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  default NaN strategy
DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default prefix: "{".
DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.random`.
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default separator: ", ".
DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.stopFitness`: 0.0.
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Default value for `BOBYQAOptimizer.stoppingTrustRegionRadius`: 1.0E-8 .
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Default value for `BOBYQAOptimizer.stoppingTrustRegionRadius`: 1.0E-8 .
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default suffix: "}".
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Default implementation of the `FieldMatrixChangingVisitor` interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Default implementation of the `FieldMatrixPreservingVisitor` interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
  A default concrete implementation of the abstract class `IterativeLinearSolverEvent`.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Creates a new instance of this class.
DefaultMeasurementModel - Class in org.apache.commons.math3.filter
  Default implementation of a `MeasurementModel` for the use with a `KalmanFilter`.
DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
  Create a new `MeasurementModel`, taking double arrays as input parameters for the respective measurement matrix and noise.
DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
  Create a new `MeasurementModel`, taking `RealMatrix` objects as input parameters for the respective measurement matrix and noise.
DefaultProcessModel - Class in org.apache.commons.math3.filter
  Default implementation of a `ProcessModel` for the use with a `KalmanFilter`.
DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
  Default implementation of the `RealMatrixChangingVisitor` interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
  Default implementation of the `RealMatrixPreservingVisitor` interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
DefaultTransformer - Class in org.apache.commons.math3.util
  A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns the degree of the polynomial.
delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Delete an element from the tree.
delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Delete the node from the tree.
deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Deletes the link between neurons `a` and `b`.
deleteNeuron(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Deletes a neuron.
density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
  Deprecated.
  as of 3.1, replaced by `Acos.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
  Deprecated.
  as of 3.1, replaced by `Acosh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
  Deprecated.
  as of 3.1, replaced by `Asin.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
  Deprecated.
  as of 3.1, replaced by `Asinh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
  Deprecated.
  as of 3.1, replaced by `Atan.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
  Deprecated.
  as of 3.1, replaced by `Atanh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Deprecated.
  as of 3.1, replaced by `Cbrt.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
  Deprecated.
  as of 3.1, replaced by `Constant.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
  Deprecated.
  as of 3.1, replaced by `Cos.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
  Deprecated.
  as of 3.1, replaced by `Cosh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
  Deprecated.
  as of 3.1, replaced by `Exp.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
  Deprecated.
  as of 3.1, replaced by `Expm1.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Deprecated.
  as of 3.1, replaced by `Gaussian.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Deprecated.
  as of 3.1, replaced by `HarmonicOscillator.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
  Deprecated.
  as of 3.1, replaced by `Identity.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
  Deprecated.
  as of 3.1, replaced by `Inverse.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log
  Deprecated.
  as of 3.1, replaced by `Log.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
  Deprecated.
  as of 3.1, replaced by `Log10.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
  Deprecated.
  as of 3.1, replaced by `Log1p.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
  Deprecated.
  as of 3.1, replaced by `Logistic.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
  Deprecated.
  as of 3.1, replaced by `Logit.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
  Deprecated.
  as of 3.1, replaced by `Minus.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Power
  Deprecated.
  as of 3.1, replaced by `Power.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Deprecated.
  as of 3.1, replaced by `Sigmoid.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
  Deprecated.
  as of 3.1, replaced by `Sin.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
  Deprecated.
  as of 3.1, replaced by `Sinc.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
  Deprecated.
  as of 3.1, replaced by `Sinh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Deprecated.
  as of 3.1, replaced by `Sqrt.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
  Deprecated.
  as of 3.1, replaced by `Tan.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
  Deprecated.
  as of 3.1, replaced by `Tanh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the derivative as a `UnivariateFunction`.
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the derivative of the polynomial spline function.
derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
  Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
  Class representing both the value and the differentials of a function.
DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance with all values and derivatives set to 0.
DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance representing a constant value.
DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance representing a variable.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance from all its derivatives.
DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
  Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Deserialize a `RealMatrix` field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Deserialize a `RealVector` field in a class.
df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes approximate degrees of freedom for 2-sample t-test.
Dfp - Class in org.apache.commons.math3.dfp
  Decimal floating point library for Java
Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a byte value.
Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a long value.
Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Creates an instance with a non-finite value.
dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert an instance to a string using normal notation.
DfpDec - Class in org.apache.commons.math3.dfp
  Subclass of `Dfp` which hides the radix-10000 artifacts of the superclass.
DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a byte value.
DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a long value.
DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Creates an instance with a non-finite value.
DfpField - Class in org.apache.commons.math3.dfp
  Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
  Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
  Enumerate for rounding modes.
DfpMath - Class in org.apache.commons.math3.dfp
  Mathematical routines for use with `Dfp`.
DftNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
DiagonalMatrix - Class in org.apache.commons.math3.linear
  Implementation of a diagonal matrix.
DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
  Creates a matrix with the supplied dimension.
DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
  Creates a matrix using the input array as the underlying data.
DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
  Creates a matrix using the input array as the underlying data.
difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the difference of two regions.
DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `MultivariateDifferentiableFunction`
DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `MultivariateDifferentiableVectorFunction`
DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableFunction`
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableMatrixFunction`
DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `UnivariateDifferentiableSolver`
DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableVectorFunction`
differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `function`.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `vector function`.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `matrix function`.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
  Create an implementation of a `differential` from a regular `function`.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
  Create an implementation of a `differential` from a regular `matrix function`.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
  Create an implementation of a `differential` from a regular `vector function`.
differentiate(double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Use empirical distribution.
DimensionMismatchException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when two dimensions differ.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
  Construct an exception from the mismatched dimensions.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
  Construct an exception from the mismatched dimensions.
discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Discards the `i` initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Discards the `i` last elements of the array.
DiskGenerator - Class in org.apache.commons.math3.geometry.euclidean.twod
  Class generating an enclosing ball from its support points.
DiskGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
distance(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Deprecated.
  as of 3.3, replaced with `Vector1D.distance(Point)`
distance(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another point.
distance(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between two vectors according to the L2 norm.
distance(FieldRotation<T>, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Compute the distance between two rotations.
distance(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L2 norm.
distance(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the distance between the instance and a point.
distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the shortest distance between the instance and another line.
distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Compute the distance between two rotations.
distance(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another point.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Compute the distance between the instance and a point.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Calculates the shortest distance from a point to this line segment.
distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another point.
distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between two vectors according to the L2 norm.
distance(Point<S>) - Method in interface org.apache.commons.math3.geometry.Point
  Compute the distance between the instance and another point.
distance(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Compute the distance between the instance and another point.
distance(S1Point, S1Point) - Static method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Compute the distance (angular separation) between two points.
distance(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Compute the distance between the instance and another point.
distance(S2Point, S2Point) - Static method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Compute the distance (angular separation) between two points.
distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
  Calculates the distance between two `Clusterable` instances with the configured `DistanceMeasure`.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Calculates the distance between two `Clusterable` instances with the configured `DistanceMeasure`.
distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L2 (Euclidean) distance between two points.
distance1(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L1 norm.
distance1(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L1 norm.
distance1(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
  Deprecated.
  Returns the distance from the given point.
distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
  Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
  Returns the distance from the given point.
distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L∞ (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L∞ (max of abs) distance between two points.
DistanceMeasure - Interface in org.apache.commons.math3.ml.distance
  Interface for distance measures of n-dimensional vectors.
distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the square of the distance between the instance and another vector.
distanceSq(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the square of the distance between two vectors.
distanceSq(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the square of the distance between two vectors.
distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the square of the distance between the instance and another vector.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '÷' operator.
divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute this ÷ a.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform division of two derivative structures.
divide(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  '÷' operator.
Divide - Class in org.apache.commons.math3.analysis.function
  Divide the first operand by the second.
Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this / divisor)`.
divide(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this / divisor)`, with `divisor` interpreted as a real number.
divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Divide this by divisor.
divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Divide by a single digit less than radix.
divide(double) - Method in class org.apache.commons.math3.dfp.Dfp
  '÷' operator.
divide(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `BigInteger`, ie `this * 1 / bg`, returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `int`, ie `this * 1 / i`, returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `long`, ie `this * 1 / l`, returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Divide the fraction by an integer.
divide(double) - Method in interface org.apache.commons.math3.RealFieldElement
  '÷' operator.
divide(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this ÷ a.
divide(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math3.util.Decimal64
  '÷' operator.
DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Really finalize the step.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Runs one iteration of the Simplex method on the given model.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Deprecated.
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Simple constructor.
DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Simple constructor.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.SecantSolver
  Method for implementing actual optimization algorithms in derived classes.
dotProduct(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Computes the dot-product of two quaternions.
dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the dot-product of the instance by a quaternion.
dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the dot-product of the instance and another vector.
dotProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the dot-product of the instance and another vector.
dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the dot-product of two vectors.
dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the dot-product of two vectors.
dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the dot-product of the instance and another vector.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the dot product of this vector with `v`.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the dot product.
dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the dot product of this vector with `v`.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Raises a trap.
DoubleArray - Interface in org.apache.commons.math3.util
  Provides a standard interface for double arrays.
DoublePoint - Class in org.apache.commons.math3.ml.clustering
  A simple implementation of `Clusterable` for points with double coordinates.
DoublePoint(double[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
  Build an instance wrapping an double array.
DoublePoint(int[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
  Build an instance wrapping an integer array.
doubleValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `double`.
doubleValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `double`.
doubleValue() - Method in class org.apache.commons.math3.util.BigReal
  Get the double value corresponding to the instance.
doubleValue() - Method in class org.apache.commons.math3.util.Decimal64
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
  Class holding "compiled" computation rules for derivative structures.
DstNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
DummyLocalizable - Class in org.apache.commons.math3.exception.util
  Dummy implementation of the `Localizable` interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
  Simple constructor.
DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
  This class is a step handler that does nothing.

## E

E - Static variable in class org.apache.commons.math3.util.FastMath
  Napier's constant e, base of the natural logarithm.
EarthMoversDistance - Class in org.apache.commons.math3.ml.distance
  Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
EarthMoversDistance() - Constructor for class org.apache.commons.math3.ml.distance.EarthMoversDistance
ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Element-by-element division.
ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Element-by-element multiplication.
ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
Edge - Class in org.apache.commons.math3.geometry.spherical.twod
  Spherical polygons boundary edge.
EigenDecomposition - Class in org.apache.commons.math3.linear
  Calculates the eigen decomposition of a real matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Deprecated.
  in 3.1 (to be removed in 4.0) due to unused parameter
EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Calculates the eigen decomposition of the symmetric tridiagonal matrix.
EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Deprecated.
  in 3.1 (to be removed in 4.0) due to unused parameter
ElitisticListPopulation - Class in org.apache.commons.math3.genetics
  Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
  Creates a new `ElitisticListPopulation` instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
  Creates a new `ElitisticListPopulation` instance and initializes its inner chromosome list.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Build a Runge-Kutta integrator with the given Butcher array.
Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface defines mappers between a space and one of its sub-spaces.
EmpiricalDistribution - Class in org.apache.commons.math3.random
  Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the specified bin count.
EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the specified bin count using the provided `RandomGenerator` as the source of random data.
EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with default bin count using the provided `RandomGenerator` as the source of random data.
EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Deprecated.
  As of 3.1. Please use `EmpiricalDistribution.EmpiricalDistribution(int,RandomGenerator)` instead.
EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Deprecated.
  As of 3.1. Please use `EmpiricalDistribution.EmpiricalDistribution(RandomGenerator)` instead.
enclose(Iterable<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.Encloser
  Find a ball enclosing a list of points.
enclose(Iterable<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
  Find a ball enclosing a list of points.
Encloser<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
  Interface for algorithms computing enclosing balls.
EnclosingBall<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
  This class represents a ball enclosing some points.
EnclosingBall(P, double, P...) - Constructor for class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Simple constructor.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
  End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
  End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  End visiting a vector.
entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
  Return an Iterator over the set of keys and values that have been added.
EnumeratedDistribution<T> - Class in org.apache.commons.math3.distribution
  A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
  Create an enumerated distribution using the given probability mass function enumeration.
EnumeratedDistribution(RandomGenerator, List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
  Create an enumerated distribution using the given random number generator and probability mass function enumeration.
EnumeratedIntegerDistribution - Class in org.apache.commons.math3.distribution
  Implementation of an integer-valued `EnumeratedDistribution`.
EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Create a discrete distribution using the given probability mass function definition.
EnumeratedIntegerDistribution(RandomGenerator, int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Create a discrete distribution using the given random number generator and probability mass function definition.
EnumeratedRealDistribution - Class in org.apache.commons.math3.distribution
  Implementation of a real-valued `EnumeratedDistribution`.
EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Create a discrete distribution using the given probability mass function enumeration.
EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Create a discrete distribution using the given random number generator and probability mass function enumeration.
EPSILON - Static variable in class org.apache.commons.math3.util.Precision
  Largest double-precision floating-point number such that `1 + EPSILON` is numerically equal to 1.
equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Test for the equality of two derivative structures.
equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Test for the equality of two sparse gradients.
equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math3.complex.Complex
  Test for equality with another object.
equals(Complex, Complex, int) - Static method in class org.apache.commons.math3.complex.Complex
  Test for the floating-point equality between Complex objects.
equals(Complex, Complex) - Static method in class org.apache.commons.math3.complex.Complex
  Returns `true` iff the values are equal as defined by `equals(x, y, 1)`.
equals(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
  Returns `true` if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
equals(Quaternion, double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether this instance is equal to another quaternion within a given tolerance.
equals(Object) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math3.fraction.BigFraction
  Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
  Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Test for the equality of two 1D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Test for the equality of two 2D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns true iff `object` is a `FieldMatrix` instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns true iff `object` is a `RealMatrix` instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Test for the equality of two vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns true iff `object` is an `AbstractStorelessUnivariateStatistic` returning the same values as this for `getResult()` and `getN()`
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns true iff `object` is a `MultivariateSummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Returns true iff `object` is a `StatisticalSummaryValues` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns true iff `object` is a `SummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns true iff `object` is a `MultivariateSummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns true iff `object` is a `SummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
equals(Object) - Method in class org.apache.commons.math3.util.BigReal
equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by `Precision.equals(float,float)`.
equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns `true` iff both arguments are `null` or have same dimensions and all their elements are equal as defined by `Precision.equals(double,double)`.
equals(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns `true` if the values are equal according to semantics of `Double.equals(Object)`.
equals(Object) - Method in class org.apache.commons.math3.util.Pair
  Compare the specified object with this entry for equality.
equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true iff they are equal as defined by `equals(x, y, 1)`.
equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true iff they are equal as defined by `equals(x, y, 1)`.
equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns `true` if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by `this method`.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns `true` iff both arguments are `null` or have same dimensions and all their elements are equal as defined by `this method`.
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or neither is NaN and they are equal as defined by `equals(x, y, 1)`.
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or if they are equal as defined by `equals(x, y, maxUlps)`.
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or neither is NaN and they are equal as defined by `equals(x, y, 1)`.
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or if they are equal as defined by `equals(x, y, maxUlps)`.
equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
  Returns `true` if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns `true` if there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
EquationsMapper - Class in org.apache.commons.math3.ode
  Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
  simple constructor.
Erf - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the error functions.
erf(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the error function.
erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the difference between erf(x1) and erf(x2).
erfc(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the complementary error function.
erfcInv(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the inverse erfc.
erfInv(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the inverse erf.
ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
  The amount under/overflows are scaled by before going to trap handler
estimate(double[][], int) - Static method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Helper method to create a multivariate normal mixture model which can be used to initialize `fit(MixtureMultivariateNormalDistribution)`.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Compute the error ratio.
estimateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the residuals, ie u = y - X*b.
Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class implements a one-dimensional space.
Euclidean1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.euclidean.oned
  Specialized exception for inexistent sub-space.
Euclidean1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException
  Simple constructor.
Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class implements a two-dimensional space.
Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements a three-dimensional space.
EuclideanDistance - Class in org.apache.commons.math3.ml.distance
  Calculates the L2 (Euclidean) distance between two points.
EuclideanDistance() - Constructor for class org.apache.commons.math3.ml.distance.EuclideanDistance
EuclideanDoublePoint - Class in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `DoublePoint` instead
EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
  Build an instance wrapping an integer array.
EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `DoublePoint` instead
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
  Build an instance wrapping an integer array.
EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
  Simple constructor.
evaluate(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Evaluate the Newton polynomial using nested multiplication.
evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Evaluate the model at the specified point.
evaluate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
  Evaluate the model at the specified point.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Evaluate all the non-evaluated points of the simplex.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Evaluate all the non-evaluated points of the simplex.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation calls `AbstractStorelessUnivariateStatistic.clear()`, then invokes `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the the input array, and then uses `AbstractStorelessUnivariateStatistic.getResult()` to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation calls `AbstractStorelessUnivariateStatistic.clear()`, then invokes `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the specified portion of the input array, and then uses `AbstractStorelessUnivariateStatistic.getResult()` to compute the return value.
evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the stored data.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  This method calculates `SemiVariance` for the entire array against the mean, using the current value of the biasCorrection instance property.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the input array, or `Double.NaN` if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the input array, or `Double.NaN` if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the maximum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the minimum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `p`th percentile of the values in the `values` array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `quantile`th percentile of the designated values in the `values` array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `p`th percentile of the values in the `values` array, starting with the element in (0-based) position `begin` in the array and including `length` values.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the weighted product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the weighted product of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The weighted sum of the entries in the the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the sum of the natural logs of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the sum of the squares of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
  Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
  Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
  Operates on an entire array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
  Evaluate the impact of the proposed step on the event handler.
evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  View a convergence checker specified for a `PointVectorValuePair` as one specified for an `LeastSquaresProblem.Evaluation`.
evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Evaluations counter.
EventFilter - Class in org.apache.commons.math3.ode.events
  Wrapper used to detect only increasing or decreasing events.
EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math3.ode.events.EventFilter
  Wrap an `event handler`.
EventHandler - Interface in org.apache.commons.math3.ode.events
  This interface represents a handler for discrete events triggered during ODE integration.
EventHandler.Action - Enum in org.apache.commons.math3.ode.events
  Enumerate for actions to be performed when an event occurs.
eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math3.ode.events.EventFilter
  Handle an event and choose what to do next.
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Handle an event and choose what to do next.
EventState - Class in org.apache.commons.math3.ode.events
  This class handles the state for one `event handler` during integration steps.
EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
  Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Evolve the given population.
exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Returns the base-2 logarithm of the specified `int`.
exactP(double, int, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes \(P(D_{n,m} > d)\) if `strict` is `true`; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
exactP(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
ExceptionContext - Class in org.apache.commons.math3.exception.util
  Class that contains the actual implementation of the functionality mandated by the `ExceptionContext` interface.
ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
  Simple constructor.
ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
  Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Exponential.
exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute exponential of a derivative structure.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Exponential.
Exp - Class in org.apache.commons.math3.analysis.function
  Exponential function.
Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
exp() - Method in class org.apache.commons.math3.complex.Complex
  Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math3.dfp.Dfp
  Exponent.
exp() - Method in class org.apache.commons.math3.dfp.Dfp
  Exponential.
exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes e to the given power.
exp() - Method in interface org.apache.commons.math3.RealFieldElement
  Exponential.
exp() - Method in class org.apache.commons.math3.util.Decimal64
  Exponential.
exp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Exponential function.
expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Expands the internal storage array using the expansion factor.
ExpandableStatefulODE - Class in org.apache.commons.math3.ode
  This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
  Build an expandable set from its primary ODE set.
expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes e to the given power.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Exponential minus 1.
expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute exp(x) - 1 of a derivative structure.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Exponential minus 1.
Expm1 - Class in org.apache.commons.math3.analysis.function
  `ex-1` function.
Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
expm1() - Method in class org.apache.commons.math3.dfp.Dfp
  Exponential minus 1.
expm1() - Method in interface org.apache.commons.math3.RealFieldElement
  Exponential minus 1.
expm1() - Method in class org.apache.commons.math3.util.Decimal64
  Exponential minus 1.
expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute exp(x) - 1
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Exponential random deviates with mean = μ.
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
  Creates an exponential decay `function`.
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
  Creates an exponential decay `function`.
ExponentialDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
  Exponential decay function: `a e-x / b`, where `x` is the (integer) independent variable.
ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
  Creates an instance.
ExponentialDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the exponential distribution.
ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Create an exponential distribution with the given mean.
ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Create an exponential distribution with the given mean.
ExponentialDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Creates an exponential distribution.
ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Creates an exponential distribution.
extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
  Extract equation data from a complete state or derivative array.
extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the elements type from an array.

## F

factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.factorial(int)`
factorial(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.factorialDouble(int)`
factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Compute n!, the factorial of `n` (the product of the numbers 1 to n), as a `double`.
factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.factorialLog(int)`
factorialLog(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Compute the natural logarithm of the factorial of `n`.
FastCosineTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer
  Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer
  Creates a new instance of this class, with various normalization conventions.
FastHadamardTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer
FastMath - Class in org.apache.commons.math3.util
  Faster, more accurate, portable alternative to `Math` and `StrictMath` for large scale computation.
FastSineTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer
  Creates a new instance of this class, with various normalization conventions.
fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Perform the FCT algorithm (including inverse).
FDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the F-distribution.
FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution using the given degrees of freedom.
FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
FDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution.
FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution.
FeatureInitializer - Interface in org.apache.commons.math3.ml.neuralnet
  Defines how to assign the first value of a neuron's feature.
FeatureInitializerFactory - Class in org.apache.commons.math3.ml.neuralnet
  Creates functions that will select the initial values of a neuron's features.
fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the forward transform of the specified integer data set.
Field<T> - Interface in org.apache.commons.math3
  Interface representing a field.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math3
  Interface representing field elements.
FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math3.analysis.interpolation
  Polynomial interpolator using both sample values and sample derivatives.
FieldHermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
  Create an empty interpolator.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition
  Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
FieldRotation<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class is a re-implementation of `Rotation` using `RealFieldElement`.
FieldRotation(T, T, T, T, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build a rotation from the quaternion coordinates.
FieldRotation(FieldVector3D<T>, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build a rotation from an axis and an angle.
FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build a rotation from a 3X3 matrix.
FieldRotation(FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build the rotation that transforms a pair of vector into another pair.
FieldRotation(FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build one of the rotations that transform one vector into another one.
FieldRotation(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Build a rotation from three Cardan or Euler elementary rotations.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface defining a field-valued vector with basic algebraic operations.
FieldVector3D<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class is a re-implementation of `Vector3D` using `RealFieldElement`.
FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Simple constructor.
FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Simple constructor.
FieldVector3D(T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Simple constructor.
FieldVector3D(T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
  Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math3.random.ValueServer
  Returns an array of length `length` with values generated using getNext() repeatedly.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Filter the integration step.
FilterType - Enum in org.apache.commons.math3.ode.events
  Enumerate for `filtering events`.
finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Finalize the step.
findBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Finds the neuron that best matches the given features.
findBestAndSecondBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
  Finds the two neurons that best match the given features.
findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
  Searches the `population` for another chromosome with the same representation.
FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for normal finite numbers.
FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation
  Univariate functions differentiator using finite differences.
FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Build a differentiator with number of points and step size when independent variable is unbounded.
FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Build a differentiator with number of points and step size when independent variable is bounded.
fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.
fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that a new iteration (in the main iteration loop) has been started.
fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that the final phase (post-iterations) has been completed.
firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.
firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Get the first sub-hyperplane crossed by a semi-infinite line.
FirstOrderConverter - Class in org.apache.commons.math3.ode
  This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.FirstOrderConverter
  Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
  This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math3.ode
  This interface represents a first order integrator for differential equations.
fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Fit a mixture model to the data supplied to the constructor.
fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Fit a mixture model to the data supplied to the constructor.
fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
  Fits a curve.
fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Since 3.1 (to be removed in 4.0). Please use `PolynomialFitter.fit(double[])` instead.
fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
Fitness - Interface in org.apache.commons.math3.genetics
  Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
  Compute the fitness.
fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Creates a unary function by fixing the first argument of a binary function.
fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Creates a unary function by fixing the second argument of a binary function.
FixedElapsedTime - Class in org.apache.commons.math3.genetics
  Stops after a fixed amount of time has elapsed.
FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
  Create a new `FixedElapsedTime` instance.
FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
  Create a new `FixedElapsedTime` instance.
FixedGenerationCount - Class in org.apache.commons.math3.genetics
  Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount
  Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling
  This interface represents a handler that should be called after each successful fixed step.
FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils
  Transform a multidimensional array into a one-dimensional list.
floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `float`.
floatValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `float`.
floatValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `float`.
floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the largest whole number smaller than instance.
Floor - Class in org.apache.commons.math3.analysis.function
  `floor` function.
Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
floor() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to an integer using the round floor mode.
floor() - Method in interface org.apache.commons.math3.RealFieldElement
  Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math3.util.Decimal64
  Get the largest whole number smaller than instance.
floor(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the largest whole number smaller than x.
forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Force a root found by a non-bracketing solver to lie on a specified side, as if the solver was a bracketing one.
format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
  This method calls `ComplexFormat.format(Object,StringBuffer,FieldPosition)`.
format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
  This method calls `ComplexFormat.format(Object,StringBuffer,FieldPosition)`.
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Formats a `Complex` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Formats a `BigFraction` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Formats a `Fraction` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Formats a `BigFraction` object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Formats a `Fraction` object to produce a string.
format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Formats a `Vector` object to produce a string.
format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Formats a `Vector3D` object to produce a string.
format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Formats a `Vector` object to produce a string.
format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats a `Vector` object to produce a string.
format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats a `Vector` object to produce a string.
format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats the coordinates of a `Vector` to produce a string.
format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  This method calls `RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition)`.
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Formats a `RealMatrix` object to produce a string.
format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  This method calls `RealVectorFormat.format(RealVector,StringBuffer,FieldPosition)`.
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Formats a `RealVector` object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  This static method calls formatFraction() on a default instance of FractionFormat.
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "4/5".
Fraction - Class in org.apache.commons.math3.fraction
  Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value and maximum denominator.
Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math3.fraction
  Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
  Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
  Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math3.fraction
  Representation of the fractional numbers field.
FractionFormat - Class in org.apache.commons.math3.fraction
  Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Convert a `FieldMatrix`/`Fraction` matrix to a `RealMatrix`.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for free table entries.
Frequency - Class in org.apache.commons.math3.stat
  Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency
  Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency
  Constructor allowing values Comparator to be specified.
fst(double[]) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for full table entries.
function(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
  Creates an initializer from a univariate function `f(x)`.
FunctionUtils - Class in org.apache.commons.math3.analysis
  Utilities for manipulating function objects.
FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  Fuzzy K-Means clustering algorithm.
FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Creates a new instance of a FuzzyKMeansClusterer.

## G

g(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
  Compute the value of the switching function.
g(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Compute the value of the switching function.
g(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Computes the G statistic for Goodness of Fit comparing `observed` and `expected` frequency counts.
g(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
Gamma - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the Γ (Gamma) family of functions.
GAMMA - Static variable in class org.apache.commons.math3.special.Gamma
  Euler-Mascheroni constant
gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of Γ(x).
GammaDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Gamma distribution.
GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a Gamma distribution.
GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a Gamma distribution.
Gaussian - Class in org.apache.commons.math3.analysis.function
  Gaussian function.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Gaussian with given normalization factor, mean and standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Normalized gaussian with given mean and standard deviation.
Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Normalized gaussian with zero mean and unit standard deviation.
Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Gaussian random deviates with mean = μ, std dev = σ.
GaussianCurveFitter - Class in org.apache.commons.math3.fitting
  Fits points to a `Gaussian` function.
GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.
GaussianCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
  Constructs instance with the specified observed points.
GaussianFitter - Class in org.apache.commons.math3.fitting
  Deprecated.
  As of 3.3. Please use `GaussianCurveFitter` and `WeightedObservedPoints` instead.
GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
  Deprecated.
  Constructs an instance using the specified optimizer.
GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Constructs an instance using the specified optimizer.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  Deprecated.
  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Constructs instance with the specified observed points.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Constructs instance with the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math3.random
  This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
  Create a new generator.
GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
  Class that implements the Gaussian rule for `integrating` a weighted function.
GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Creates an integrator from the given `points` and `weights`.
GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Class that provides different ways to compute the nodes and weights to be used by the `Gaussian integration rule`.
GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
GaussNewtonOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
  Gauss-Newton least-squares solver.
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
  Creates a Gauss Newton optimizer.
GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
  Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations.
GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Deprecated.
  Simple constructor with default settings.
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Deprecated.
GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  Simple constructor with default settings.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math3.fitting.leastsquares
  The decomposition algorithm to use to solve the normal equations.
gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in `observed1` and `observed2`.
gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
generate(Collection<Vector2D>) - Method in interface org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHullGenerator2D
  Builds the convex hull from the set of input points.
generate(Collection<P>) - Method in interface org.apache.commons.math3.geometry.hull.ConvexHullGenerator
  Builds the convex hull from the set of input points.
GeneticAlgorithm - Class in org.apache.commons.math3.genetics
  Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
  Create a new genetic algorithm.
GeometricDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the geometric distribution.
GeometricDistribution(double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
  Create a geometric distribution with the given probability of success.
GeometricDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
  Creates a geometric distribution.
GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Copy constructor, creates a new `GeometricMean` identical to the `original`
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the geometric mean of the entries in the input array, or `Double.NaN` if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the geometric mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
get(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get the stored value associated with the given key
getA(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Access the n-th a coefficient of the continued fraction.
getA1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the second rotation.
getAbscissa(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the abscissa of a point with respect to the line.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the absolute accuracy.
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
getAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the adjusted R-squared statistic, defined by the formula
getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
  Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get all partial derivatives.
getAlpha() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the first shape parameter, `alpha`.
getAlpha() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Deprecated.
  as of version 3.1, `GammaDistribution.getShape()` should be preferred. This method will be removed in version 4.0.
getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the azimuth of the vector.
getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the azimuth of the vector.
getAlpha() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Get the azimuthal angle \( \alpha \).
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the angle of the rotation.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the angle of the rotation.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the angle of the line.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the Cardan or Euler angles corresponding to the instance.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math3.complex.Complex
  Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException
getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Gets the arity (number of chromosomes drawn to the tournament).
getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Provides direct access to the internal storage array.
getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the attribute associated with the instance.
getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
  Get the set of locales for which point/vector formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the set of locales for which real vectors formats are available.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the normalized axis of the rotation.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the normalized axis of the rotation.
getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Access the n-th b coefficient of the continued fraction.
getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the barycenter of the interval.
getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the barycenter of the instance.
getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the barycenter of the instance.
getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Get the barycenter of the arc.
getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the second shape parameter, `beta`.
getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Deprecated.
  as of version 3.1, `GammaDistribution.getScale()` should be preferred. This method will be removed in version 4.0.
getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns the number of bins.
getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a List of `SummaryStatistics` instances containing statistics describing the values in each of the bins.
getBoundaryLoops() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Get the boundary loops of the polygon.
getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the size of the boundary.
getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the size of the boundary.
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
  Deprecated.
  Gets the initial step.
getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Gets the currently allocated size of the internal data structure used for storing elements.
getCartesian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Get the Cartesian coordinates.
getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Deprecated.
  as of 3.3, replaced with `BSPTree.getCell(Point, double)`
getCell(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the cell to which a point belongs.
getCenter() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Get the center of the ball.
getCenter() - Method in class org.apache.commons.math3.ml.clustering.CentroidCluster
  Get the point chosen to be the center of this cluster.
getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Deprecated.
  Get the point chosen to be the center of this cluster.
getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of the centers array.
getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
  Returns `true` if positive-definiteness should be checked for both matrix and preconditioner.
getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns `true` if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.
getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChiSquare() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChromosomeList() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the list of chromosomes.
getChromosomes() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Returns an unmodifiable list of the chromosomes in this population.
getCircle() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
  Get the circle supporting this edge.
getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
  Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getCloseCuts(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the cells whose cut sub-hyperplanes are close to the point.
getClusterer() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Returns the embedded k-means clusterer used by this instance.
getClusterEvaluator() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Returns the `ClusterEvaluator` used to determine the "best" clustering.
getClusters() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the list of clusters resulting from the last call to `FuzzyKMeansClusterer.cluster(Collection)`.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Gets the coefficients of the linear equation being optimized.
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Get the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in column number `col` as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in column number `col` as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as an array.
getColumn(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in column number `col` as an array.
getColumn() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getColumn() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getColumn(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as an array.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as a column matrix.
getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format separator between components.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as a vector.
getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the compiler for number of free parameters and order.
getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Get the complement of the region (exchanged interior/exterior).
getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the complete current state.
getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Gets the distributions that make up the mixture model.
getComponents() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Get the components array.
getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Return the condition number of the matrix.
getConfidenceLevel() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the conjugate quaternion of the instance.
getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Gets the constant of the linear equation being optimized.
getConstantTerm() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Get the constant of the linear equation being optimized.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Gets the set of linear constraints.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.getContractionCriterion()` instead.
getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the control matrix.
getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the control matrix.
getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the convergence threshold for event localization.
getConvergenceChecker() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
  Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
  Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns a matrix of standard errors associated with the estimates in the correlation matrix.
  `getCorrelationStandardErrors().getEntry(i,j)` is the standard error associated with `getCorrelationMatrix.getEntry(i,j)`
getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
  Get the cost.
getCost() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the cost.
getCostRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Gets the value of a tuning parameter.
getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values equal to v.
getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values equal to v.
getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values equal to v.
getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values equal to v.
getCount() - Method in class org.apache.commons.math3.util.Incrementor
  Gets the current count.
getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current multidimensional counter slots.
getCovariance(double) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the n × n covariance matrix.
getCovariance(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Get the covariance for an individual element of the covariance matrix.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the covariance matrix.
getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
  Get the covariance matrix of the optimized parameters.
getCovariances(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the covariance matrix of the optimized parameters.
getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeCovariances(double[],double)` instead.
getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeCovariances(double[],double)` instead.
getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
  Returns the number of crossover points used by this `CrossoverPolicy`.
getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the crossover rate.
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Get the current value of the Jacobian matrix with respect to state.
getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Get the current value of the Jacobian matrix with respect to one parameter.
getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the current value of the step start time ti.
getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the current grid point time.
getCut() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the cut sub-hyperplane.
getD() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldVector
  Deprecated.
  as of 3.1, to be removed in 4.0. Please use the `FieldVector.toArray()` method instead.
getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  as of 3.1, to be removed in 4.0. Please use the `SparseFieldVector.toArray()` method instead.
getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Return the covariance matrix as two-dimensional array.
getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Get a copy of the stored data array.
getDataPoints() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns an unmodifiable list of the data points used in the last call to `FuzzyKMeansClusterer.cluster(Collection)`.
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Gets a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Get a reference to the stored data array.
getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
  Get the number of decimal digits this class is going to represent.
getDecomposition() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
  Get the matrix decomposition algorithm used to solve the normal equations.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
  Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Create a default number format.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the number of degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the degrees of freedom.
getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the elevation of the vector.
getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the elevation of the vector.
getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `BigInteger`.
getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
  Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `int`.
getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `long`.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Access the denominator format.
getDerivative(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the derivative with respect to a particular index variable.
getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Computes the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Return the determinant of the matrix
getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the diagonal of the Hat matrix also known as the leverage matrix.
getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Gets the number of random variables of the distribution.
getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Gets the number of random variables of the distribution.
getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the dimension of the space.
getDimension() - Method in interface org.apache.commons.math3.geometry.Space
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
  Get the dimension of the secondary state parameters.
getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
  Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
  Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
  Get the dimension of the secondary state parameters.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
  Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the number of dimensions of the multidimensional counter.
getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the normalized direction vector.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getDistanceMeasure() - Method in class org.apache.commons.math3.ml.clustering.Clusterer
  Returns the `DistanceMeasure` instance used by this clusterer.
getE() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant e.
getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the ith eigenvector of the original matrix.
getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the contained element.
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns a double[] array containing the elements of this `DoubleArray`.
getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a double array containing the elements of this `ResizableArray`.
getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the `EmpiricalDistribution` used when operating in 0.
getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Returns the `KMeansPlusPlusClusterer.EmptyClusterStrategy` used by this instance.
getEnclosingCap() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Get a spherical cap enclosing the polygon.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the end point of the segment.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the end point of the segment.
getEnd() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
  Get end vertex.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Return the entry at the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
  Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Returns the entry in the specified index.
getEps() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
  Returns the maximum radius of the neighborhood to be considered.
getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Deprecated.
  Returns the maximum radius of the neighborhood to be considered.
getEpsilon() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the convergence criteria used by this instance.
getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the current error covariance matrix.
getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns a copy of the current error covariance matrix.
getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared errors (SSE) associated with the regression model.
getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant e split in two pieces.
getEvaluationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
  Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
  Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
  Get the number of times the model was evaluated in order to produce this optimum.
getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the evaluations counter.
getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get all the event handlers that have been added to the integrator.
getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the occurrence time of the event triggered in the current step.
getExpandable() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the differential equations to integrate.
getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Return type will be changed to "double" in 4.0.
getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Return value to be changed to `ResizableDoubleArray.ExpansionMode` in 4.0.
getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Return the exponent of the instance value, removing the bias.
getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Get the exponent characterizing the distribution.
getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
  Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
  Return the exponent of a float number, removing the bias.
getFeatures() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
  Gets the neuron's features.
getFeatures(int) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
  Retrieves the features set from the neuron at location `i` in the map.
getFeaturesSize() - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Gets the size of the neurons' features set.
getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the value at the higher end of the interval.
getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getHi()`.
getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getHi()`.
getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.complex.Complex
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the `Field` (really a `DfpField`) to which the instance belongs.
getField() - Method in interface org.apache.commons.math3.FieldElement
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.BigFraction
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.Fraction
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math3.linear.FieldVector
  Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.util.BigReal
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.util.Decimal64
  Get the `Field` to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the final integration time.
getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
  Access the first chromosome.
getFirst() - Method in class org.apache.commons.math3.util.Pair
  Get the first element of the pair.
getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
  Get the index of the first equation element in complete state arrays.
getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
  Access the fitness of this chromosome.
getFittedModel() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Gets the fitted model.
getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
  Access the fittest chromosome in this population.
getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the value at the lower end of the interval.
getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getLo()`.
getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getLo()`.
getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getMid()`.
getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getMid()`.
getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the components format.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the number of free parameters.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the number of free parameters.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the Frobenius norm of the matrix.
getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the function accuracy.
getFuzziness() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the fuzziness factor used by this instance.
getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the number of generations evolved to reach `StoppingCondition` in the last run.
getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured geometric mean implementation.
getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the current global grid point time.
getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the previous global grid point time.
getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the Householder reflector vectors.
getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the higher end of the interval.
getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the underlying hyperplane.
getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Get the underlying hyperplane.
getIdentifier() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
  Gets the neuron's identifier.
getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the IEEE 854 status flags.
getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math3.complex.Complex
  Access the imaginary part.
getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Get the imaginary part of the `k`-th `n`-th root of unity.
getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the given locale.
getIncoming() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
  Get incoming edge.
getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Get the index of the entry.
getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Get the index of the entry.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the lower bound of the interval.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Get the lowest value belonging to the instance.
getInf() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Get the lower angular bound of the arc.
getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the initial error covariance matrix.
getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the initial error covariance matrix.
getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
  Gets the initial guess.
getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
  Deprecated.
  Gets the initial guess.
getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the initial state estimation vector.
getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the initial state estimation vector.
getInitialStepBoundFactor() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Gets the value of a tuning parameter.
getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the initial integration time.
getInsideArc(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the arc of the instance that lies inside the other circle.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the given locale.
getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Returns the default 1D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Returns the default 1D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Returns the default 2D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Returns the default 2D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Returns the default real vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Get the only instance.
getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
  Returns the unique instance of this class.
getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the intercept of the estimated regression line, if `SimpleRegression.hasIntercept()` is true; otherwise 0.
getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1.
getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the derivatives of the state vector of the interpolated point.
getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the time of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the interpolating values array.
getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the inverse of this instance.
getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Get the pseudo-inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Computes the inverse of the condition number.
getIterationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
  Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
  Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns the iteration manager attached to this solver.
getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
  Get the number of times the algorithm iterated in order to produce this optimum.
getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the number of iterations performed by the algorithm.
getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
  Returns the number of iterations performed at the time `this` event is created.
getIterations() - Method in class org.apache.commons.math3.util.IterationManager
  Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
getJacobian() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the weighted Jacobian matrix.
getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
getK() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Return the number of clusters this instance will use.
getK() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Return the number of clusters this instance will use.
getK() - Method in class org.apache.commons.math3.util.Combinations
  Gets the number of elements in each combination.
getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The within-bin smoothing kernel.
getKey() - Method in class org.apache.commons.math3.util.Pair
  Get the key.
getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets all the keys stored in the exception
getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured kurtosis implementation.
getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L1 norm of the vector.
getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is the largest one in the tree.
getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Returns the length of the chromosome.
getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getSize()`
getLength() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
  Get the length of the arc.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the line containing the segment.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the line containing the segment.
getLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
  Get the line segments of the convex hull, ordered.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L∞ norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L∞ norm of the vector.
getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(5) split in two pieces.
getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the lower end of the interval.
getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in the default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
  Gets the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
  Gets the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Gets the localized string.
getLocation() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Get the location parameter of the distribution.
getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the hyperplane location on the real line.
getLocation() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Get the hyperplane location on the circle.
getLocation() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
  Get Vertex location.
getLogLikelihood() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Gets the log likelihood of the data under the fitted model.
getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getInf()`
getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
  Gets the lower bounds.
getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Gets the lower bounds.
getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getLowerBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Returns the transpose of the matrix L of the decomposition.
getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the 3X3 matrix corresponding to the instance
getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the 3X3 matrix corresponding to the instance
getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException
getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the upper bound.
getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the maximum of the values that have been added.
getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the maximal time interval between events handler checks.
getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
  Gets the maximum number of evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the maximum number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the maximum number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the maximal growth factor for stepsize control.
getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
  Gets the upper limit of the counter.
getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the upper limit for the number of iterations.
getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Get the maximal order.
getMaximalOrder() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the maximal order.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured maximum implementation
getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
  Get the index of the maximum entry.
getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
  Gets the maximum number of evaluations.
getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the maximum number of iterations this instance will use.
getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Returns the maximum number of iterations this instance will use.
getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the maximal number of iterations.
getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
  Returns the maximum number of iterations.
getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the maximal step.
getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
  Get the value of the maximum entry.
getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured mean implementation
getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the mean vector.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the dimension of the measurement vector.
getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
  Returns the measurement matrix.
getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
  Returns the measurement matrix.
getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
  Returns the measurement noise matrix.
getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
  Returns the measurement noise matrix.
getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the median.
getMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the `nxk` membership matrix, where `n` is the number of data points and `k` the number of clusters.
getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the default message.
getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in a specified locale.
getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in a specified locale.
getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getBarycenter()`
getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the lower bound.
getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the min limit for the number of iterations.
getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the min limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured minimum implementation
getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
  Get the index of the minimum entry.
getMinPts() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
  Returns the minimum number of points needed for a cluster.
getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Deprecated.
  Returns the minimum number of points needed for a cluster.
getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the minimal step.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the tree on the minus side of the cut hyperplane.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
getMinus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
  Get the part of the arcs set on the minus side of the splitting arc.
getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
  Get the value of the minimum entry.
getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the mode `c` of this distribution.
getMode() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the data generation mode.
getMode() - Method in class org.apache.commons.math3.stat.Frequency
  Returns the mode value(s) in comparator order.
getModelFunction() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
  Deprecated.
  Gets the model function to be optimized.
getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
  Deprecated.
  Gets the Jacobian of the model function to be optimized.
getMu() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the mean used when operating in `ValueServer.GAUSSIAN_MODE`, `ValueServer.EXPONENTIAL_MODE` or `ValueServer.UNIFORM_MODE`.
getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the mutation policy.
getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the mutation rate.
getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the number of spline segments.
getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  This `Covariance` method is not supported by a `StorelessCovariance`, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in `Covariance.getN()` is undefined.
getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the number of available values
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the number of observations that have been added to the model.
getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.util.Combinations
  Gets the size of the set from which combinations are drawn.
getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the name of the method.
getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the name of the method.
getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException
getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Return the NaNStrategy
getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Get the number of points to use.
getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Retrieves the neurons in the neighbourhood of any neuron in the `neurons` list.
getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Retrieves the neurons in the neighbourhood of any neuron in the `neurons` list.
getNeighbours(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Retrieves the neighbours of the given neuron.
getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Retrieves the neighbours of the given neuron.
getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
  Retrieves the underlying network.
getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
  Retrieves the underlying network.
getNeuron(long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Retrieves the neuron with the given (unique) `id`.
getNeuron(int, int) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
  Retrieves the neuron at location `(i, j)` in the map.
getNeurons(Comparator<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
  Creates a list of the neurons, sorted in a custom order.
getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node containing the next larger or equal element.
getNext() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the next generated value, generated according to the mode value (see MODE constants).
getNextIndex() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
  Returns the index i of the next point in the Halton sequence that will be returned by calling `HaltonSequenceGenerator.nextVector()`.
getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
  Returns the index i of the next point in the Sobol sequence that will be returned by calling `SobolSequenceGenerator.nextVector()`.
getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Generates a random value from this distribution.
getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the norm of the quaternion.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L2 norm for the vector.
getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L1 norm for the vector.
getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L1 norm for the vector.
getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the normalized normal vector.
getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
  Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L∞ norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the L∞ norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L∞ norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L∞ norm for the vector.
getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L∞ norm for the vector.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the norm of the residual.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the norm of the residual.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the square of the norm for the vector.
getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the square of the norm for the vector.
getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is not larger than the reference object.
getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is not smaller than the reference object.
getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Get the number of steps of the method (excluding the one being computed).
getNumberOfCalls() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
  Retrieves the number of calls to the `update` method.
getNumberOfColumns() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
  Gets the number of neurons in each column of this map.
getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Get the number of elements (e.g.
getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the number of parameters estimated in the model.
getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Returns the number of roots of unity currently stored.
getNumberOfRows() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
  Gets the number of neurons in each row of this map.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the number of successes for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the number of trials for this distribution.
getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `BigInteger`.
getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
  Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `int`.
getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `long`.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Access the numerator format.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
  Returns the number of generations that have already passed.
getNumTrials() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Returns the number of trials this instance will do.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
  Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
  Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the objective vector function.
getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
  Gets the gradient of the function to be optimized.
getObjectiveFunctionValue() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Get the value of the objective function.
getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
  Deprecated.
  Get the observed points.
getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Get the observed points.
getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Get the number of observations (rows in the Jacobian) in this problem.
getObservationSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
  Get the number of observations (rows in the Jacobian) in this problem.
getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the offset (oriented distance) of a point.
getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the offset (oriented distance) of a parallel plane.
getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the offset (oriented distance) of a point.
getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset (oriented distance) of a parallel line.
getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset (oriented distance) of a point.
getOffset() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
  Offset of the point with respect to the boundary it is projected on.
getOffset(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Get the offset (oriented distance) of a point.
getOffset(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Get the offset (oriented distance) of a point.
getOffset(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the offset (oriented distance) of a point.
getOffset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the offset (oriented distance) of a direction.
getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Get the inverse of the covariance.
getOne() - Method in class org.apache.commons.math3.complex.ComplexField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 1.
getOne() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 1.
getOne() - Method in interface org.apache.commons.math3.Field
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.FractionField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.BigRealField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
  Get the multiplicative identity of the field.
getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOptimizer() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
  Creates an optimizer set up to fit the appropriate curve.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Get the order of the method.
getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the order of the regressors, useful if some type of reordering has been called.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the line point closest to the origin.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the origin point of the plane frame.
getOriginal() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
  Get the original point.
getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset of the origin.
getOrthoTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Gets the value of a tuning parameter.
getOutgoing() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
  Get outgoing edge.
getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Extract the outline of a polyhedrons set.
getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
  Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
  Get parameter value from its name.
getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the parameter estimate for the regressor at the given index.
getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns a copy of the regression parameters estimates.
getParameterRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Gets the value of a tuning parameter.
getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Get the number of parameters (columns in the Jacobian) in this problem.
getParameterSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
  Get the number of parameters (columns in the Jacobian) in this problem.
getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Get the names of the supported parameters.
getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
  Get the names of the supported parameters.
getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the parent node.
getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  In the original algorithm only the partial correlations of the regressors is returned to the user.
getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get a partial derivative.
getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the index of a partial derivative in the array.
getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the derivation orders for a specific index in the array.
getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured percentile implementation.
getPhase(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the phase angle of a direction.
getPhi() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Get the polar (co-latitude) angle.
getPhi() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get the polar angle \( \varphi \).
getPi() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant π.
getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant π split in two pieces.
getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the pivot permutation vector.
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the tree on the plus side of the cut hyperplane.
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
getPlus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
  Get the part of the arcs set on the plus side of the splitting arc.
getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane.
getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane.
getPmf() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
  Return the probability mass function as a list of pairs.
getPoint(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Gets the integration point at the given index.
getPoint() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the abscissa (independent variables) of this evaluation.
getPoint() - Method in interface org.apache.commons.math3.ml.clustering.Clusterable
  Gets the n-dimensional point.
getPoint() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
  Gets the n-dimensional point.
getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get the simplex point stored at the requested `index`.
getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Get the point.
getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get the simplex point stored at the requested `index`.
getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Get the point.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
  Get the n-dimensional point in integer space.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
  Get the n-dimensional point in integer space.
getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get one point from the 3D-space.
getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get one point from the plane.
getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get a circle point from its phase around the circle.
getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
  Get an intermediate point.
getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets a reference to the point.
getPoints() - Method in class org.apache.commons.math3.ml.clustering.Cluster
  Get the points contained in the cluster.
getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Deprecated.
  Get the points contained in the cluster.
getPole() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the pole of the circle.
getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Compute the interpolation polynomials.
getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
  Access the maximum population size.
getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the population size.
getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
  Access the current population size.
getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
  Deprecated.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the population variance of the available values.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the population variance of the values that have been added.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the population variance of the values that have been added.
getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the polar form of the quaternion.
getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node containing the next smaller or equal element.
getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the previous soft grid point time.
getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the previous grid point time.
getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the primary set of differential equations.
getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get an equations mapper for the primary equations set.
getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get primary part of the current state.
getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get primary part of the current state derivative.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the probability of success for this distribution.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
  Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
  Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
  Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
  Creates a least squares problem corresponding to the appropriate curve.
getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the process noise matrix.
getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the process noise matrix.
getProjected() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
  Projected point.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the given locale.
getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the matrix Q of the decomposition.
getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the first component of the quaternion (scalar part).
getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the scalar coordinate of the quaternion.
getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the second component of the quaternion (first component of the vector part).
getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the first coordinate of the vectorial part of the quaternion.
getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the third component of the quaternion (second component of the vector part).
getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the second coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the fourth component of the quaternion (third component of the vector part).
getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Get the third coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the transpose of the matrix Q of the decomposition.
getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Get the radius.
getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns Pearson's product moment correlation coefficient, usually denoted r.
getRadius() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Get the radius of the ball.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the number of radix digits of the instance.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the number of radix digits of the `Dfp` instances built by this factory.
getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the (static) random generator.
getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
  Returns the random generator this instance will use.
getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Returns the random generator this instance will use.
getRandomGenerator() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns the RandomGenerator used to generate non-secure random data.
getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Get the rank of the symmetric positive semidefinite matrix.
getRank(double) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
  Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Returns a `PearsonsCorrelation` instance constructed from the ranked input data.
getRankingThreshold() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Gets the value of a tuning parameter.
getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
  Returns the mixing ratio used by this `CrossoverPolicy`.
getReal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.complex.Complex
  Access the real part.
getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Get the real part of the `k`-th `n`-th root of unity.
getReal() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the real value of the number.
getReal() - Method in interface org.apache.commons.math3.RealFieldElement
  Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.util.Decimal64
  Get the real value of the number.
getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the realFormat.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
  Creates a `BigFraction` instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
  Creates a `Fraction` instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the relationship between left and right hand sides.
getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the actual relative accuracy.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the relative accuracy.
getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the remaining region of the hyperplane.
getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Returns the (immutable) inner representation of the chromosome.
getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the residual.
getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the residual.
getResiduals() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the weighted residuals.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Get the covariance matrix.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Get the mean vector.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the current value of the Statistic.
getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the reverse of the instance.
getReverse() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Get the reverse of the instance.
getReverse() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the reverse of the instance.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the current right-hand side of the linear system to be solved.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the current right-hand side of the linear system to be solved.
getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
  Get the normalized cost.
getRMS() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get the normalized cost.
getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Gets the root-mean-square (RMS) value.
getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get the Root Mean Square value.
getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Get the root of the covariance matrix.
getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the root of the covariance matrix.
getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the current rounding mode.
getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
  Gets the rounding mode for division operations The default is `RoundingMode.HALF_UP`
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given row index.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given row index.
getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as an array.
getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given row index.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given row index as a row matrix.
getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format prefix.
getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format separator between rows of the matrix.
getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format suffix.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the entries in row number `row` as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the entries in row number `row` as a vector.
getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the coefficient of determination, usually denoted r-square.
getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the coefficient of multiple determination, usually denoted r-square.
getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Gets a copy of the quadrature rule with the given number of integration points.
getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Gets a rule.
getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in interface org.apache.commons.math3.Field
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
  Returns the runtime class of the FieldElement.
getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the safety factor for stepsize control.
getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the sample size.
getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a `StatisticalSummary` describing this distribution.
getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the scalar part of the quaternion.
getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the scale parameter.
getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the scale parameter of `this` distribution.
getScale() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Get the scale parameter of the distribution.
getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the scale parameter, `beta`.
getScale() - Method in class org.apache.commons.math3.util.BigReal
  Sets the scale for division operations.
getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
  Access the second chromosome.
getSecond() - Method in class org.apache.commons.math3.util.Pair
  Get the second element of the pair.
getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the equations mappers for the secondary equations sets.
getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get secondary part of the current state.
getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get secondary part of the current state derivative.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns a statistic related to the Second Central Moment.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Get the endpoints of the sub-line.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Get the endpoints of the sub-line.
getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the selection policy.
getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format separator between components.
getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the shape parameter of `this` distribution.
getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the shape parameter, `alpha`.
getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
  Get an estimate of the standard deviation of the parameters.
getSigma(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
  Get an estimate of the standard deviation of the parameters.
getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
  Deprecated.
getSigma() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the standard deviation used when operating in `ValueServer.GAUSSIAN_MODE`.
getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the array size required for holding partial derivatives data.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the size of the interval.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the size of the instance.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the size of the instance.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Get the angular size of the arc.
getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
  Gets the length of the feature set.
getSize() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
  Gets the number of neurons.
getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get simplex size.
getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get simplex size.
getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the total number of elements.
getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the number of multidimensional counter slots in each dimension.
getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured skewness implementation.
getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the standard error of the slope estimate, usually denoted s(b1).
getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is the smallest one in the tree.
getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
  Retrieve the best solution found so far.
getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the current set of values in an array of double primitives, sorted in ascending order.
getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
  Gets the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
  Gets the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Gets the source (non-localized) string.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the space to which the point belongs.
getSpace() - Method in interface org.apache.commons.math3.geometry.Point
  Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get the space to which the point belongs.
getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2.
getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2 / 2.
getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2 split in two pieces.
getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √3.
getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √3 / 3.
getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Computes the square-root of the matrix.
getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the standard deviation of the values that have been added.
getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the square root of each element on the diagonal of the covariance matrix.
getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Gets the initial guess.
getStart() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
  Gets the initial guess.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the start point of the segment.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the start point of the segment.
getStart() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
  Get start vertex.
getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the starter integrator.
getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the "start index" of the internal array.
getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Gets the initial guess.
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the initial values of the optimized parameters.
getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the start value.
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the dimension of the state estimation vector.
getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the current state estimation vector.
getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns a copy of the current state estimation vector.
getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the state transition matrix.
getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the state transition matrix.
getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the standard error of the parameter estimate at index, usually denoted s(bindex).
getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the standard error of the parameter estimates, usually denoted s(bi).
getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get all the step handlers that have been added to the integrator.
getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Get the step size.
getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Gets a submatrix.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
  Get the n-1 dimension subspace of this space.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format suffix.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
  Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured sum of logs implementation
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of crossproducts, xi*yi.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the sum of the squares of the available values.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the sum of the squares of the values that have been added.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared errors (SSE) associated with the regression model.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the upper bound of the interval.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Get the highest value belonging to the instance.
getSup() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Get the upper angular bound of the arc.
getSupport() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Get the support points used to define the ball.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Access the lower bound of the support.
getSupportSize() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
  Get the number of support points used to define the ball.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Access the upper bound of the support.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
  Deprecated.
  Gets the initial guess.
getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optimization.Target
  Deprecated.
  Gets the initial guess.
getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1.
getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the number of observed values.
getTheta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Get the azimuthal angle in x-y plane.
getTheta() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get the azimuthal angle \( \theta \) in the x-y plane.
getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Get a reference to the exception to which the context relates.
getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Return the TiesStrategy
getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get current time.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the tolerance below which points are considered identical.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the tolerance below which points are considered to belong to hyperplanes.
getTolerance() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
  Get the tolerance below which angles are considered identical.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the tolerance below which points are considered to belong to the hyperplane.
getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Return the dimension of the complete set of equations.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared deviations of the y values about their mean.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get a `Transform` embedding an affine transform.
getTransform(Rotation) - Static method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get a `Transform` embedding a 3D rotation.
getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the underlying BSP tree.
getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the underlying BSP tree.
getTriggeredIncreasing() - Method in enum org.apache.commons.math3.ode.events.FilterType
  Get the increasing status of triggered events.
getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 2.
getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 2.
getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the plane first canonical vector.
getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the matrix U of the decomposition.
getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values in the frequency table.
getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getSup()`
getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
  Gets the upper bounds.
getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Gets the lower bounds.
getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getUpperBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a fresh copy of the array of upper bounds for the bins.
getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the transpose of the matrix U of the decomposition.
getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the plane second canonical vector.
getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the matrix V of the decomposition.
getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the value part of the derivative structure.
getValue() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the value of the function.
getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the value associated to the given context key.
getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the value of the constraint (right hand side).
getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the value of the constraint (right hand side).
getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Compute the value of the linear equation at the current point
getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Compute the value of the linear equation at the current point
getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.util.Pair
  Get the value.
getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets a reference to the value of the objective function.
getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets a reference to the value of the objective function.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the current set of values in an array of double primitives.
getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the URL for the file used to build the empirical distribution when using `ValueServer.DIGEST_MODE`.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the (sample) variance of the available values.
getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the (sample) variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the (sample) variance of the available values.
getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the varianceDirection property.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured variance implementation
getVector() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Get the corresponding normalized vector in the 2D euclidean space.
getVector() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get the corresponding normalized vector in the 3D euclidean space.
getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the three components of the vector part of the quaternion.
getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
  Get the vertices of the convex hull.
getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Get the vertices of the polygon.
getVertices() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
  Get the vertices of the convex hull.
getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the transpose of the matrix V of the decomposition.
getWeight(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Gets the weight of the integration point at the given index.
getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Deprecated.
  Gets the initial guess.
getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optimization.Weight
  Deprecated.
  Gets the initial guess.
getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Gets the square-root of the weight matrix.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Gets the square-root of the weight matrix.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Access the whole format.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Access the whole format.
getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
  Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the abscissa of the point.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the abscissa of the point.
getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
getXAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the X axis of the circle.
getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the x values about their mean.
getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
getYAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Get the Y axis of the circle.
getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the height of the vector.
getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the height of the vector.
getZero() - Method in class org.apache.commons.math3.complex.ComplexField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 0.
getZero() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 0.
getZero() - Method in interface org.apache.commons.math3.Field
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.FractionField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.util.BigRealField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
  Get the additive identity of the field.
GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
  Simple constructor.
GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  The GLS implementation of multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
  Goal type for an optimization problem (minimization or maximization of a scalar function.
GoalType - Enum in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
  Deprecated.
  Returns the gradient function.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
  Compute the gradient of the function with respect to its parameters.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
  Compute the gradient of the function with respect to its parameters.
GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
  Class representing the gradient of a multivariate function.
GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
  Simple constructor.
GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Base class for implementing optimizers for multivariate scalar differentiable functions.
GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Simple constructor.
GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Simple constructor.
greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is greater than x.
GTest - Class in org.apache.commons.math3.stat.inference
  Implements G Test statistics.
GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the `observed` frequency counts to those in the `expected` array.
gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
  Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in `observed1` and `observed2`.
gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
  Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
guess() - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  as of version 3.1, `AbstractLeastSquaresOptimizer.computeSigma(double[],double)` should be used instead. It should be emphasized that `guessParametersErrors` and `computeSigma` are not strictly equivalent.

## H

h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  current time step
HaltonSequenceGenerator - Class in org.apache.commons.math3.random
  Implementation of a Halton sequence.
HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
  Construct a new Halton sequence generator for the given space dimension.
HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
  Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Handle the last accepted step.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Handle the last accepted step.
handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
  Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
  Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Handle the last accepted step
HarmonicCurveFitter - Class in org.apache.commons.math3.fitting
  Fits points to a `harmonic oscillator` function.
HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  This class guesses harmonic coefficients from a sample.
HarmonicCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
  Simple constructor.
HarmonicFitter - Class in org.apache.commons.math3.fitting
  Deprecated.
  As of 3.3. Please use `HarmonicCurveFitter` and `WeightedObservedPoints` instead.
HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter
  Deprecated.
  Simple constructor.
HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  Deprecated.
  This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Simple constructor.
HarmonicOscillator - Class in org.apache.commons.math3.analysis.function
  simple harmonic oscillator function.
HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Harmonic oscillator function.
HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
HarmonicOscillator.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Returns whether the calculated eigen values are complex or real.
hash(double) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns an integer hash code representing the given double array.
hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math3.complex.Complex
  Get a hashCode for the complex number.
hashCode() - Method in class org.apache.commons.math3.complex.Quaternion
hashCode() - Method in class org.apache.commons.math3.dfp.Dfp
  Gets a hashCode for the instance.
hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a hashCode for the 1D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
hashCode() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  .
hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  .
hashCode() - Method in class org.apache.commons.math3.linear.RealVector
  .
hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector
hashCode() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns hash code based on getResult() and getN()
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.Frequency
hashCode() - Method in class org.apache.commons.math3.util.BigReal
hashCode() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation returns the same value as `new Double(this.doubleValue()).hashCode()`
hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math3.util.Pair
  Compute a hash code.
hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math3.util.TransformerMap
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  A getter method which determines whether a constant is included.
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns true if the regression model has been computed including an intercept.
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns true if the model includes an intercept term.
hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Returns true if a constant has been included false otherwise.
hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Check if there is a next element in the map.
hermite(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates a Gauss-Hermite integrator of the given order.
HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Polynomial interpolator using both sample values and sample derivatives.
HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Create an empty interpolator.
HermiteRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
HermiteRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Simple constructor.
HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Simple constructor.
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, comparing the means of the datasets described by two `StatisticalSummary` instances, under the assumption of equal subpopulation variances.
homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
HypergeometricDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the hypergeometric distribution.
HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
  Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
  Creates a new hypergeometric distribution.
Hyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents an hyperplane of a space.
hypot(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this2 +y2)
  avoiding intermediate overflow or underflow.
hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the hypotenuse of a triangle with sides `x` and `y` - sqrt(x2 +y2)
  avoiding intermediate overflow or underflow.
hypot(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this2 +y2)
  avoiding intermediate overflow or underflow.
hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the hypotenuse of a triangle with sides `x` and `y` - sqrt(x2 +y2)
  avoiding intermediate overflow or underflow.
hypot(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this2 +y2)
  avoiding intermediate overflow or underflow.
hypot(T) - Method in interface org.apache.commons.math3.RealFieldElement
  Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this2 +y2)
  avoiding intermediate overflow or underflow.
hypot(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Returns the hypotenuse of a triangle with sides `this` and `y` - sqrt(this2 +y2)
  avoiding intermediate overflow or underflow.
hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the hypotenuse of a triangle with sides `x` and `y` - sqrt(x2 +y2)
  avoiding intermediate overflow or underflow.

## I

I - Static variable in class org.apache.commons.math3.complex.Complex
  The square root of -1.
I - Static variable in class org.apache.commons.math3.complex.Quaternion
  i
i1 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m1 taking table size into account.
i2 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m2 taking table size into account.
i3 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m3 taking table size into account.
Identity - Class in org.apache.commons.math3.analysis.function
  Identity function.
Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
  Identity quaternion.
IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Identity rotation.
identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes the remainder as prescribed by the IEEE 754 standard.
IllConditionedOperatorException - Exception in org.apache.commons.math3.linear
  An exception to be thrown when the condition number of a `RealLinearOperator` is too high.
IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException
  Creates a new instance of this class.
IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver with default accuracy (1e-6).
IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Whether or not `Variance.increment(double)` should increment the internal second moment.
increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Increment the covariance matrix with one row of data.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Add a new vector to the sample.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Updates the internal state of the statistic to reflect the addition of the new value.
incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation just calls `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the input array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation just calls `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the specified portion of the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
  Performs multiple increments.
incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
  Adds one to the current iteration count.
incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Increment the evaluation count by one.
incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Increment the evaluation count.
incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Increment the iteration count.
incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
  Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Increment the iterations counter by 1.
Incrementor - Class in org.apache.commons.math3.util
  Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a `MaxCountExceededException`.
Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
  Default constructor.
Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
  Defines a maximal count.
Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
  Defines a maximal count and a callback method to be triggered at counter exhaustion.
Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
  Defines a method to be called at counter exhaustion.
incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
  Increments the frequency count for v.
incrementValue(int, long) - Method in class org.apache.commons.math3.stat.Frequency
  Increments the frequency count for v.
incrementValue(long, long) - Method in class org.apache.commons.math3.stat.Frequency
  Increments the frequency count for v.
incrementValue(char, long) - Method in class org.apache.commons.math3.stat.Frequency
  Increments the frequency count for v.
index - Variable in class org.apache.commons.math3.random.AbstractWell
  Current index in the bytes pool.
inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation of a permutation corresponding to a permutation which yields `permutedData` when applied to `originalData`.
INF - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "+INF + INFi"
INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for Infinity.
INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Represents an infinite window size.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.events.EventFilter
  Initialize event handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Initialize event handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Initialize step handler at the start of an ODE integration.
InitialGuess - Class in org.apache.commons.math3.optim
  Starting point (first guess) of the optimization procedure.
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
InitialGuess - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
  Deprecated.
initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Initialize the high order scaled derivatives at step start.
initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Initialize the integration step.
initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Prepare the start of an integration.
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  `EnumeratedDistribution` instance (using the `Integer` wrapper) used to generate the pmf.
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  `EnumeratedDistribution` (using the `Double` wrapper) used to generate the pmf.
insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Insert an element in the tree.
insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Insert a cut sub-hyperplane in a node.
insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
  Insert equation data into a complete state or derivative array.
insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Insert the instance into another tree.
InsufficientDataException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when there is insufficient data to perform a computation.
InsufficientDataException() - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
  Construct the exception.
InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
  Construct the exception with a specific context.
INTEGER_ZERO - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
  Helper to avoid boxing warnings.
IntegerDistribution - Interface in org.apache.commons.math3.distribution
  Interface for distributions on the integers.
integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Integrate the function in the given interval.
integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Returns an estimate of the integral of `f(x) * w(x)`, where `w` is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
  Returns an estimate of the integral of `f(x) * w(x)`, where `w` is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Integrate the function in the given interval.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Integrate a set of differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
  Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Integrate a set of differential equations up to the given time.
integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
  Integrate the differential equations up to the given time
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
  Computes a linear interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a `SplineInterpolator` on the resulting fit.
interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Computes an interpolating function for the data set.
interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Compute an interpolating function for the dataset.
interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated derivatives
interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated primary derivatives
interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated primary state
interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated secondary derivatives
interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated secondary state
interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated state
interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated time
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the intersection point of the instance and another line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the intersection of a line with the instance.
intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build the line shared by the instance and another plane.
intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the intersection point of three planes.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Get the intersection of the instance and another sub-line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the intersection point of the instance and another line.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Get the intersection of the instance and another sub-line.
intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the parts of a sub-hyperplane that are contained in the region.
intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the parts of a sub-hyperplane that are contained in the region.
intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the intersection of two regions.
Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D interval.
Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Simple constructor.
IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D region: a set of intervals.
IntervalsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set representing the whole real line.
IntervalsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set corresponding to a single interval.
IntervalsSet(BSPTree<Euclidean1D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set from an inside/outside BSP tree.
IntervalsSet(Collection<SubHyperplane<Euclidean1D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set from a Boundary REPresentation (B-rep).
IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Deprecated.
  as of 3.1 replaced with `IntervalsSet.IntervalsSet(double)`
IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Deprecated.
  as of 3.3 replaced with `IntervalsSet.IntervalsSet(double, double, double)`
IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Deprecated.
  as of 3.3, replaced with `IntervalsSet.IntervalsSet(BSPTree, double)`
IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Deprecated.
  as of 3.3, replaced with `IntervalsSet.IntervalsSet(Collection, double)`
IntervalUtils - Class in org.apache.commons.math3.stat.interval
  Factory methods to generate confidence intervals for a binomial proportion.
intLog10() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
intValue() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert this to an integer.
intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as an `int`.
intValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as an `int`.
intValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `int`.
InvalidRepresentationException - Exception in org.apache.commons.math3.genetics
  Exception indicating that the representation of a chromosome is not valid.
InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException
  Construct an InvalidRepresentationException with a specialized message.
Inverse - Class in org.apache.commons.math3.analysis.function
  Inverse function.
Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
inverse() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Computes the inverse of this diagonal matrix.
inverse(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Computes the inverse of this diagonal matrix.
inverse(RealMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Computes the inverse of the given matrix.
inverse(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Computes the inverse of the given matrix.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the quantile function of this distribution.
invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5.
iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index its predecessor taking table size into account.
iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index its second predecessor taking table size into account.
ISAACRandom - Class in org.apache.commons.math3.random
  ISAAC: a fast cryptographic pseudo-random number generator
  ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers.
ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator.
ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator using a single long seed.
ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator using an int array seed.
isBetterScore(double, double) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Returns whether the first evaluation score is considered to be better than the second one by this evaluator.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns true iff biasCorrected property is set to true.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check whether the function takes opposite signs at the endpoints.
isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check whether the interval bounds bracket a root.
isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Returns `true` if `RootsOfUnity.computeRoots(int)` was called with a positive value of its argument `n`.
isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Determine if this value is within epsilon of zero.
isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Check if the hyperplane orientation is direct.
isDirect() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Check if the hyperplane orientation is direct.
isEmpty() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Check if the instance is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Check if the instance is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Check if the instance is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Check if the tree is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Check if the instance is empty.
isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Check if the natural integration direction is forward.
isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Check if the natural integration direction is forward.
isFull() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the instance covers the full space.
isFull(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the sub-tree starting at a given node covers the full space.
isFull() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the instance covers the full space.
isFull(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the sub-tree starting at a given node covers the full space.
isInfinite() - Method in class org.apache.commons.math3.complex.Complex
  Checks whether either the real or imaginary part of this complex number takes an infinite value (either `Double.POSITIVE_INFINITY` or `Double.NEGATIVE_INFINITY`) and neither part is `NaN`.
isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is infinite.
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
  Returns `true` if `this` double precision number is infinite (`Double.POSITIVE_INFINITY` or `Double.NEGATIVE_INFINITY`).
isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Indicator for last step.
isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Property indicating whether or not the distribution has been loaded.
isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that an array is monotonically increasing or decreasing.
isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that an array is monotonically increasing or decreasing.
isNaN() - Method in class org.apache.commons.math3.complex.Complex
  Checks whether either or both parts of this complex number is `NaN`.
isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is not a number.
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in interface org.apache.commons.math3.geometry.Point
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Check whether any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.linear.RealVector
  Check whether any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.util.Decimal64
  Returns `true` if `this` double precision number is Not-a-Number (`NaN`), false otherwise.
isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Check if the decomposed matrix is non-singular.
isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check the instance is parallel to another line.
isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns true if the argument is a power of two.
isPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
  Primality test: tells if the argument is a (provable) prime or not.
isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether the instance is a pure quaternion within a given tolerance.
isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Returns whether the starting index is chosen randomly or set to zero.
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
  Indicates whether all the variables must be restricted to non-negative values.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
  Returns `true` iff `another` has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
  Returns `true` iff `another` is a RandomKey and encodes the same permutation.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
  Determine whether or not the maximum allowed time has passed.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
  Determine whether or not the given number of generations have passed.
isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
  Determine whether or not the given population satisfies the stopping condition.
isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check whether the arguments form a (strictly) increasing sequence.
isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check whether the arguments form a (strictly) increasing sequence.
isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Check if the instance is similar to another line.
isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance is similar to another plane.
isSingular(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns whether this diagonal matrix is singular, i.e.
isSolutionOptimal() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
  Returns if the found solution is optimal.
isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Is this a square matrix?
isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Is this a square matrix?
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Check if a parameter is supported.
isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
  Check if a parameter is supported.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  to be removed in 4.0
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  to be removed in 4.0
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Checks whether a matrix is symmetric.
isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns `true` if this operator supports `RealLinearOperator.operateTranspose(RealVector)`.
isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether the instance is a unit quaternion within a given tolerance.
isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Indicates whether a point is within the interpolation range.
isValidPoint(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Indicates whether a point is within the interpolation range.
isZero() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is equal to zero.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
IterationEvent - Class in org.apache.commons.math3.util
  The root class from which all events occurring while running an `IterationManager` should be derived.
IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
  Creates a new instance of this class.
IterationListener - Interface in org.apache.commons.math3.util
  The listener interface for receiving events occurring in an iterative algorithm.
IterationManager - Class in org.apache.commons.math3.util
  This abstract class provides a general framework for managing iterative algorithms.
IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
  Creates a new instance of this class.
IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
  Creates a new instance of this class.
iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked each time an iteration is completed (in the main iteration loop).
iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  The iteration count.
iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
  Iterations counter.
iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked each time a new iteration is completed (in the main iteration loop).
IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
  This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given accuracies and iterations counts.
IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given accuracies.
IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given iteration counts.
IterativeLinearSolver - Class in org.apache.commons.math3.linear
  This abstract class defines an iterative solver for the linear system A · x = b.
IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
  Creates a new instance of this class, with default iteration manager.
IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
  Creates a new instance of this class, with custom iteration manager.
IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
  This is the base class for all events occurring during the iterations of a `IterativeLinearSolver`.
IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Creates a new instance of this class.
iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Returns an iterator over the unmodifiable list of chromosomes.
iterator() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
iterator() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
iterator() - Method in class org.apache.commons.math3.linear.RealVector
  Generic dense iterator.
iterator() - Method in class org.apache.commons.math3.ml.neuralnet.Network
iterator() - Method in class org.apache.commons.math3.util.Combinations
iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Create an iterator over this counter.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get an iterator over map elements.

## J

J - Static variable in class org.apache.commons.math3.complex.Quaternion
  j
jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction
  Deprecated.
  Returns the jacobian function.
JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation
  Class representing the Jacobian of a multivariate vector function.
JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction
  Simple constructor.
JacobianMatrices - Class in org.apache.commons.math3.ode
  This class defines a set of `secondary equations` to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.
JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
  Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
  Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math3.ode
  Special exception for equations mismatch.
JacobianMatrices.MismatchedEquations() - Constructor for exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
  Simple constructor.
JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Deprecated.
JacobiPreconditioner - Class in org.apache.commons.math3.linear
  This class implements the standard Jacobi (diagonal) preconditioner.
JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner
  Creates a new instance of this class.
JDKRandomGenerator - Class in org.apache.commons.math3.random
  Extension of `java.util.Random` to implement `RandomGenerator`.
JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator

## K

K - Static variable in class org.apache.commons.math3.complex.Quaternion
  k
KalmanFilter - Class in org.apache.commons.math3.filter
  Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter
  Creates a new Kalman filter with the given process and measurement models.
KendallsCorrelation - Class in org.apache.commons.math3.stat.correlation
  Implementation of Kendall's Tau-b rank correlation.
KendallsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Create a KendallsCorrelation instance without data.
KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
  Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Get the key of current entry.
key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Get the key of current entry.
KMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  Deprecated.
  As of 3.2 (to be removed in 4.0), use `KMeansPlusPlusClusterer` instead
KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Deprecated.
  Build a clusterer.
KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Deprecated.
  Build a clusterer.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.ml.clustering
  Strategies to use for replacing an empty cluster.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering
  Deprecated.
  Strategies to use for replacing an empty cluster.
KohonenTrainingTask - Class in org.apache.commons.math3.ml.neuralnet.sofm
  Trainer for Kohonen's Self-Organizing Map.
KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
  Creates a (sequential) trainer for the given network.
KohonenUpdateAction - Class in org.apache.commons.math3.ml.neuralnet.sofm
  Update formula for Kohonen's Self-Organizing Map.
KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution
  Deprecated.
  to be removed in version 4.0 - use `KolmogorovSmirnovTest`
KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Deprecated.
kolmogorovSmirnovStatistic(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with `distribution`, \(n\) is the length of `data` and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in `data`.
kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of `x`, \(m\) is the length of `y`, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in `x` and \(F_m\) is the empirical distribution of the `y` values.
kolmogorovSmirnovStatistic(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
KolmogorovSmirnovTest - Class in org.apache.commons.math3.stat.inference
  Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Construct a KolmogorovSmirnovTest instance with a default random data generator.
KolmogorovSmirnovTest(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Construct a KolmogorovSmirnovTest with the provided random data generator.
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that `data` conforms to `distribution`.
kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that `x` and `y` are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that `x` and `y` are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that `data` conforms to `distribution`.
kolmogorovSmirnovTest(RealDistribution, double[], double) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that `data` conforms to `distribution`.
kolmogorovSmirnovTest(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
kolmogorovSmirnovTest(RealDistribution, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
KS_SUM_CAUCHY_CRITERION - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Convergence criterion for `KolmogorovSmirnovTest.ksSum(double, double, int)`
ksSum(double, double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within `tolerance` of one another, or when `maxIterations` partial sums have been computed.
Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Construct a Kurtosis from an external moment
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Copy constructor, creates a new `Kurtosis` identical to the `original`

## L

laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Deprecated.
  This method should not be part of the public API: It will be made private in version 4.0.
LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver with default accuracy (1e-6).
LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the Lanczos approximation used to compute the gamma function.
LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma
  The value of the `g` constant in the Lanczos approximation, see `Gamma.lanczos(double)`.
LARGE_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  When product of sample sizes exceeds this value, 2-sample K-S test uses asymptotic distribution for strict inequality p-value.
lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.
lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the least common multiple of the absolute value of two numbers, using the formula `lcm(a,b) = (a / gcd(a,b)) * b`.
lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the least common multiple of the absolute value of two numbers, using the formula `lcm(a,b) = (a / gcd(a,b)) * b`.
LearningFactorFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
  Provides the learning rate as a function of the number of calls already performed during the learning task.
LearningFactorFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
  Factory for creating instances of `LearningFactorFunction`.
LeastSquaresAdapter - Class in org.apache.commons.math3.fitting.leastsquares
  An adapter that delegates to another implementation of `LeastSquaresProblem`.
LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
  Delegate the `LeastSquaresProblem` interface to the given implementation.
LeastSquaresBuilder - Class in org.apache.commons.math3.fitting.leastsquares
  A mutable builder for `LeastSquaresProblem`s.
LeastSquaresBuilder() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  This class converts `vectorial objective functions` to `scalar objective functions` when the goal is to minimize them.
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for uncorrelated residuals with identical weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for uncorrelated residuals with the specified weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for correlated residuals with the specified weights.
LeastSquaresConverter - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for uncorrelated residuals with the same weight.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for uncorrelated residuals with the specific weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for correlated residuals with the specific weights.
LeastSquaresFactory - Class in org.apache.commons.math3.fitting.leastsquares
  A Factory for creating `LeastSquaresProblem`s.
LeastSquaresOptimizer - Interface in org.apache.commons.math3.fitting.leastsquares
  An algorithm that can be applied to a non-linear least squares problem.
LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math3.fitting.leastsquares
  The optimum found by the optimizer.
LeastSquaresProblem - Interface in org.apache.commons.math3.fitting.leastsquares
  The data necessary to define a non-linear least squares problem.
LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math3.fitting.leastsquares
  An evaluation of a `LeastSquaresProblem` at a particular point.
legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates a Gauss-Legendre integrator of the given order.
legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates a Gauss-Legendre integrator of the given order.
LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
  Deprecated.
  As of 3.1 (to be removed in 4.0). Please use `IterativeLegendreGaussIntegrator` instead.
LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given accuracies and iterations counts.
LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given accuracies.
LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given iteration counts.
legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates a Gauss-Legendre integrator of the given order.
legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates an integrator of the given order, and whose call to the `integrate` method will perform an integration on the given interval.
LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  Default precision is `DECIMAL128`.
LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is less than x.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
  This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Default constructor.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Construct an instance with all parameters specified.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for all the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for some of the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Deprecated.
  The arguments control the behaviour of the default convergence checking procedure.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for all the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for some of the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  The arguments control the behaviour of the default convergence checking procedure.
LevyDistribution - Class in org.apache.commons.math3.distribution
  This class implements the Lévy distribution.
LevyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
  Creates a LevyDistribution.
LimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
  This class represents a 1D oriented hyperplane on the circle.
LimitAngle(S1Point, boolean, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Simple constructor.
Line - Class in org.apache.commons.math3.geometry.euclidean.threed
  The class represent lines in a three dimensional space.
Line(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
  Build a line from two points.
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
  Copy constructor.
Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
  Deprecated.
  as of 3.3, replaced with `Line.Line(Vector3D, Vector3D, double)`
Line - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents an oriented line in the 2D plane.
Line(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a line from two points.
Line(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a line from a point and an angle.
Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Deprecated.
  as of 3.3, replaced with `Line.Line(Vector2D, Vector2D, double)`
Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Deprecated.
  as of 3.3, replaced with `Line.Line(Vector2D, double, double)`
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Copy constructor.
linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute a linear combination.
linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute a linear combination.
linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Compute a linear combination.
linearCombination(T[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(double[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
  Compute a linear combination.
linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute a linear combination.
linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
LinearConstraint - Class in org.apache.commons.math3.optim.linear
  A linear constraint for a linear optimization problem.
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving two linear equations.
LinearConstraint - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving two linear equations.
LinearConstraintSet - Class in org.apache.commons.math3.optim.linear
  Class that represents a set of `linear constraints`.
LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Creates a set containing the given constraints.
LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Creates a set containing the given constraints.
LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements a linear function for interpolation of real univariate functions.
LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear
  An objective function for a linear optimization problem.
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
LinearOptimizer - Class in org.apache.commons.math3.optim.linear
  Base class for implementing linear optimizers.
LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer
  Simple constructor with default settings.
LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Class for finding the minimum of the objective function along a given direction.
LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
  The `BrentOptimizer` default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
ListPopulation - Class in org.apache.commons.math3.genetics
  Population of chromosomes represented by a `List`.
ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
  Creates a new ListPopulation instance and initializes its inner chromosome list.
ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
  Creates a new ListPopulation instance.
load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution from the provided array of numbers.
load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution using data read from a URL.
load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution from the input file.
Localizable - Interface in org.apache.commons.math3.exception.util
  Interface for localizable strings.
LocalizedFormats - Enum in org.apache.commons.math3.exception.util
  Enumeration for localized messages formats used in exceptions messages.
LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Constructs a new `LoessInterpolator` with a bandwidth of `LoessInterpolator.DEFAULT_BANDWIDTH`, `LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS` robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Construct a new `LoessInterpolator` with given bandwidth and number of robustness iterations.
LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Construct a new `LoessInterpolator` with given bandwidth, number of robustness iterations and accuracy.
log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Natural logarithm.
log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute natural logarithm of a derivative structure.
log() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Natural logarithm.
Log - Class in org.apache.commons.math3.analysis.function
  Natural logarithm function.
Log() - Constructor for class org.apache.commons.math3.analysis.function.Log
log() - Method in class org.apache.commons.math3.complex.Complex
  Compute the natural logarithm of this complex number.
log() - Method in class org.apache.commons.math3.dfp.Dfp
  Natural logarithm.
log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Returns the natural logarithm of a.
log() - Method in interface org.apache.commons.math3.RealFieldElement
  Natural logarithm.
log() - Method in class org.apache.commons.math3.util.Decimal64
  Natural logarithm.
log(double) - Static method in class org.apache.commons.math3.util.FastMath
  Natural logarithm.
log(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes the logarithm in a given base.
log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Base 10 logarithm.
log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Computes base 10 logarithm of a derivative structure.
log10() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Base 10 logarithm.
Log10 - Class in org.apache.commons.math3.analysis.function
  Base 10 logarithm function.
Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10
log10() - Method in class org.apache.commons.math3.dfp.Dfp
  Deprecated.
  as of 3.2, replaced by `Dfp.intLog10()`, in 4.0 the return type will be changed to Dfp
log10() - Method in class org.apache.commons.math3.util.Decimal64
  Base 10 logarithm.
log10(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the base 10 logarithm.
log10K() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Shifted natural logarithm.
log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Computes shifted logarithm of a derivative structure.
log1p() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Shifted natural logarithm.
Log1p - Class in org.apache.commons.math3.analysis.function
  `log(1 + p)` function.
Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p
log1p() - Method in class org.apache.commons.math3.dfp.Dfp
  Shifted natural logarithm.
log1p() - Method in interface org.apache.commons.math3.RealFieldElement
  Shifted natural logarithm.
log1p() - Method in class org.apache.commons.math3.util.Decimal64
  Shifted natural logarithm.
log1p(double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes log(1 + x).
logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Deprecated.
  as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls `Beta.logBeta(double, double)`.
logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
logDensity(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.FDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.TDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logDensity(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point `x`.
logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of log Γ(x) for x > 0.
logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.
logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes the natural log of a number between 0 and 2.
Logistic - Class in org.apache.commons.math3.analysis.function
  Generalised logistic function.
Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic
Logistic.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the `logistic function`, ordered as follows: k m b q a n
Logistic.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric
Logit - Class in org.apache.commons.math3.analysis.function
  Logit function.
Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit
  Usual logit function, where the lower bound is 0 and the higher bound is 1.
Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit
  Logit function.
Logit.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
Logit.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric
LogNormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the log-normal (gaussian) distribution.
LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution, where the mean and standard deviation of the `normally distributed` natural logarithm of the log-normal distribution are equal to zero and one respectively.
LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution using the specified scale and shape.
LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.
LogNormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Creates a log-normal distribution.
LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Creates a log-normal distribution.
logProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `log(P(X = x))`, where `log` is the natural logarithm.
longValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `long`.
longValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `long`.
longValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `long`.
LUDecomposition - Class in org.apache.commons.math3.linear
  Calculates the LUP-decomposition of a square matrix.
LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
  Calculates the LU-decomposition of the given matrix.
LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
  Calculates the LU-decomposition of the given matrix.
LutherIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
LutherIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
  Simple constructor.

## M

m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  second moment of values that have been added
main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
  Print out contents of arrays, and check the length.
mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Main set dimension.
MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
  Interface expanding `first order differential equations` in order to compute exactly the main state jacobian matrix for `partial derivatives equations`.
ManhattanDistance - Class in org.apache.commons.math3.ml.distance
  Calculates the L1 (sum of abs) distance between two points.
ManhattanDistance() - Constructor for class org.apache.commons.math3.ml.distance.ManhattanDistance
mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
  An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Create a test instance using the given strategies for NaN's and ties.
mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
mant - Variable in class org.apache.commons.math3.dfp.Dfp
  Mantissa.
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Acts as if implemented as:
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
  Acts as if implemented as:
mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Add a value to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
  Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Add a value to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Add a value to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map an addition operation to each entry.
mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a division operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
  Divide each entry by the argument.
mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Divide each entry by the argument.
mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Divide each entry by the argument.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a division operation to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
  Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
  Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map the 1/x function to each entry.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a multiplication operation to each entry.
mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
  Multiply each entry by the argument.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Multiply each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a multiplication operation to each entry.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a subtraction operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Subtract a value from each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Map a subtraction operation to each entry.
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Acts as if it is implemented as:
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
  Acts as if it is implemented as:
MapUtils - Class in org.apache.commons.math3.ml.neuralnet
  Utilities for network maps.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Helper for `CycleCrossover.crossover(Chromosome, Chromosome)`.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
  Helper for `OrderedCrossover.crossover(Chromosome, Chromosome)`.
MathArithmeticException - Exception in org.apache.commons.math3.exception
  Base class for arithmetic exceptions.
MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
  Default constructor.
MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
  Constructor with a specific message.
MathArrays - Class in org.apache.commons.math3.util
  Arrays utilities.
MathArrays.Function - Interface in org.apache.commons.math3.util
  Real-valued function that operate on an array or a part of it.
MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
  Specification of ordering direction.
MathArrays.Position - Enum in org.apache.commons.math3.util
  Specification for indicating that some operation applies before or after a given index.
MathIllegalArgumentException - Exception in org.apache.commons.math3.exception
  Base class for all preconditions violation exceptions.
MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException
MathIllegalNumberException - Exception in org.apache.commons.math3.exception
  Base class for exceptions raised by a wrong number.
MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException
  Construct an exception.
MathIllegalStateException - Exception in org.apache.commons.math3.exception
  Base class for all exceptions that signal a mismatch between the current state and the user's expectations.
MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Simple constructor.
MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Simple constructor.
MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Default constructor.
MathInternalError - Exception in org.apache.commons.math3.exception
  Exception triggered when something that shouldn't happen does happen.
MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Simple constructor.
MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Simple constructor.
MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Constructor accepting a localized message.
MathParseException - Exception in org.apache.commons.math3.exception
  Class to signal parse failures.
MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException
MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException
MathRuntimeException - Exception in org.apache.commons.math3.exception
  As of release 4.0, all exceptions thrown by the Commons Math code (except `NullArgumentException`) inherit from this class.
MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException
MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception
  Base class for all unsupported features.
MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Default constructor.
MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
MathUtils - Class in org.apache.commons.math3.util
  Miscellaneous utility functions.
MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
  Construct an exception from the mismatched dimensions.
MatrixUtils - Class in org.apache.commons.math3.linear
  A collection of static methods that operate on or return matrices.
Max - Class in org.apache.commons.math3.analysis.function
  Maximum function.
Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
Max - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
  Create a Max instance
Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
  Copy constructor, creates a new `Max` identical to the `original`
max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the maximum of the entries in the input array, or `Double.NaN` if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the maximum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
  The maximum exponent before overflow is signaled and results flushed to infinity
MaxCountExceededException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when some counter maximum value is exceeded.
MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
  Construct the exception.
MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
  Construct the exception with a specific context.
MaxEval - Class in org.apache.commons.math3.optim
  Maximum number of evaluations of the function to be optimized.
MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
maxEvaluations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the max evaluations.
MAXIMUM_PARTIAL_SUM_COUNT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Bound on the number of partial sums in `KolmogorovSmirnovTest.ksSum(double, double, int)`
MaxIter - Class in org.apache.commons.math3.optim
  Maximum number of iterations performed by an (iterative) algorithm.
MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
maxIterations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the max iterations.
mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Deprecated.
  see MATH-736
Mean - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Copy constructor, creates a new `Mean` identical to the `original`
mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the arithmetic mean of the entries in the input array, or `Double.NaN` if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
MeasurementModel - Interface in org.apache.commons.math3.filter
  Defines the measurement model for the use with a `KalmanFilter`.
Median - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
  Default constructor.
Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
  Copy constructor, creates a new `Median` identical to the `original`
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
  Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Merge a BSP tree with the instance.
merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
  Merge another Frequency object's counts into this instance.
merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
  Merge a `Collection` of `Frequency` objects into this instance.
MersenneTwister - Class in org.apache.commons.math3.random
  This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator.
MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using an int array seed.
MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using a single long seed.
MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Interpolating function that implements the Microsphere Projection.
MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Create a microsphere interpolator with default settings.
MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Create a microsphere interpolator.
midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Compute the midpoint of two values.
MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
  Maximum number of iterations for midpoint.
MidPointIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements the Midpoint Rule for integration of real univariate functions.
MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
  Build a midpoint integrator with given accuracies and iterations counts.
MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
  Build a midpoint integrator with given iteration counts.
MidPointIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
  Construct a midpoint integrator with default settings.
MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
  Simple constructor.
MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
  This class is a concrete implementation of the `UpdatingMultipleLinearRegression` interface.
MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  This is the augmented constructor for the MillerUpdatingRegression class.
MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Primary constructor for the MillerUpdatingRegression.
Min - Class in org.apache.commons.math3.analysis.function
  Minimum function.
Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
Min - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
  Create a Min instance
Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
  Copy constructor, creates a new `Min` identical to the `original`
min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the minimum of the entries in the input array, or `Double.NaN` if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the minimum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
  The minimum exponent before underflow is signaled.
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Minimum dimension of the problem: 2
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Minimum dimension of the problem: 2
Minus - Class in org.apache.commons.math3.analysis.function
  Minus function.
Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  -I (coordinates: \( \theta = \pi, \varphi = \pi/2 \)).
MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  -J (coordinates: \( \theta = 3\pi/2, \varphi = \pi/2 \)).
MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  -K (coordinates: \( \theta = any angle, \varphi = \pi \)).
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "-1 / 1".
MixtureMultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
  Multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
  Creates a multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
  Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
  Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution
  Class for representing mixture model distributions.
MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Creates a mixture model from a list of distributions and their associated weights.
mode(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sample mode(s).
mode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sample mode(s).
model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the model function.
model(MultivariateJacobianFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the model function.
model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Combine a `MultivariateVectorFunction` with a `MultivariateMatrixFunction` to produce a `MultivariateJacobianFunction`.
ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
  Deprecated.
ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
  Deprecated.
ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression
  Exception thrown when a regression model is not correctly specified.
ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Fourth Moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
  First moment on which this statistic is based.
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Third moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  SecondMoment is used in incremental calculation of Variance
MonotoneChain - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
  Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space.
MonotoneChain() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
  Create a new MonotoneChain instance.
MonotoneChain(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
  Create a new MonotoneChain instance.
MonotoneChain(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
  Create a new MonotoneChain instance.
MONTE_CARLO_ITERATIONS - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Default number of iterations used by `KolmogorovSmirnovTest.monteCarloP(double, int, int, boolean, int)`
monteCarloP(double, int, int, boolean, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
monteCarloP(double, int, int, boolean, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Multiply two long integers, checking for overflow.
MullerSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver with default accuracy (1e-6).
MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver.
MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver.
MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver with default accuracy (1e-6).
MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver.
MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver.
MultidimensionalCounter - Class in org.apache.commons.math3.util
  Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
  Create a counter.
MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
  Perform iteration over the multidimensional counter.
MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when two sets of dimensions differ.
MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Construct an exception from the mismatched dimensions.
MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Construct an exception from the mismatched dimensions.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the multi-directional direct search method.
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
  A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Build a clusterer.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
  Build a clusterer.
MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
  The multiple linear regression can be represented in matrix-notation.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ExpansionMode.MULTIPLICATIVE` instead.
multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute n × this.
multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '×' operator.
multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute this × a.
multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform multiplication of two derivative structures.
multiply(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute this × a.
multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  '×' operator.
multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute n × this.
Multiply - Class in org.apache.commons.math3.analysis.function
  Multiply the two operands.
Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Multiplies functions.
multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Multiplies functions.
multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.multiply(UnivariateDifferentiableFunction...)`
multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Multiply the instance by a polynomial.
multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`.
multiply(int) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`, with `factor` interpreted as a integer number.
multiply(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`, with `factor` interpreted as a real number.
multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Returns the Hamilton product of two quaternions.
multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the Hamilton product of the instance by a quaternion.
multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Multiplies the instance by a scalar.
multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply this by x.
multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply this by a single digit x.
multiply(double) - Method in class org.apache.commons.math3.dfp.Dfp
  '×' operator.
multiply(int) - Method in interface org.apache.commons.math3.FieldElement
  Compute n × this.
multiply(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this × a.
multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiplies the value of this fraction by the passed `BigInteger`, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiply the value of this fraction by the passed `int`, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiply the value of this fraction by the passed `long`, returning the result in reduced form.
multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Multiply the fraction by an integer.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Postmultiplying this matrix by `m`.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Postmultiply this matrix by `m`.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of postmultiplying this by `m`.
multiply(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(double) - Method in interface org.apache.commons.math3.RealFieldElement
  '×' operator.
multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.BigReal
  Compute n × this.
multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
  Compute n × this.
multiply(double) - Method in class org.apache.commons.math3.util.Decimal64
  '×' operator.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Change an entry in the specified row and column.
multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Multiply in place.
MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Multi-start optimizer.
MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Multi-start optimizer for a (vector) model function.
MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
  Special implementation of the `UnivariateOptimizer` interface adding multi-start features to an existing optimizer.
MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultistepIntegrator - Class in org.apache.commons.math3.ode
  This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
  Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
  Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
  Transformer used to convert the first step to Nordsieck representation.
MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `MultivariateFunction` representing a multivariate differentiable real function.
MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `MultivariateVectorFunction` representing a multivariate differentiable vectorial function.
MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate real function.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Adapter for mapping bounded `MultivariateFunction` to unbounded ones.
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Simple constructor.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Adapter extending bounded `MultivariateFunction` to an unbouded domain using a penalty function.
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Simple constructor.
MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a univariate real interpolating function.
MultivariateJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
  A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate matrix function.
MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math3.distribution.fitting
  Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
  Creates an object to fit a multivariate normal mixture model to data.
MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Base class for a multivariate scalar function optimizer.
MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
  Base interface for multivariate distributions on the reals.
MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Computes summary statistics for a stream of n-tuples added using the `addValue` method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Construct a MultivariateSummaryStatistics instance
MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate vectorial function.
MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Base class for a multivariate vector function optimizer.
MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
  Mutate the given chromosome.
mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
  Mutate the given chromosome.
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
  Mutate the given chromosome.
MutationPolicy - Interface in org.apache.commons.math3.genetics
  Algorithm used to mutate a chromosome.

## N

NaN - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "NaN + NaNi"
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  A vector with all coordinates set to NaN.
NAN - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.NaN` as a `Decimal64`.
nans - Variable in class org.apache.commons.math3.dfp.Dfp
  Indicator for non-finite / non-number values.
NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
  Strategies for handling NaN values in rank transformations.
natural(int) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns an array representing the natural number `n`.
NaturalRanking - Class in org.apache.commons.math3.stat.ranking
  Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Negate the instance.
negate() - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(-this)`.
negate() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns a number that is this number with the sign bit reversed.
negate() - Method in interface org.apache.commons.math3.FieldElement
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.fraction.BigFraction
  Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math3.fraction.Fraction
  Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Get the opposite of the instance.
negate() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.util.BigReal
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.util.Decimal64
  Returns the additive inverse of `this` element.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.NEGATIVE_INFINITY` as a `Decimal64`.
negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is less than or equal to 0.
NeighbourhoodSizeFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
  Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.
NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
  Factory for creating instances of `NeighbourhoodSizeFunction`.
NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the Nelder-Mead simplex algorithm.
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
Network - Class in org.apache.commons.math3.ml.neuralnet
  Neural network, composed of `Neuron` instances and the links between them.
Network(long, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network
Network.NeuronIdentifierComparator - Class in org.apache.commons.math3.ml.neuralnet
  Comparator that prescribes an order of the neurons according to the increasing order of their identifier.
Network.NeuronIdentifierComparator() - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
Neuron - Class in org.apache.commons.math3.ml.neuralnet
  Describes a neuron element of a neural network.
NeuronSquareMesh2D - Class in org.apache.commons.math3.ml.neuralnet.twod
  Neural network with the topology of a two-dimensional surface.
NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
  Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it.
NeuronString - Class in org.apache.commons.math3.ml.neuralnet.oned
  Neural network with the topology of a one-dimensional line.
NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
  Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it.
NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Add the covariance data.
newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
  Makes a `Dfp` with a value of 0.
newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a byte value.
newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from an int value.
newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a long value.
newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a double value.
newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
  Copy constructor.
newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
  Create a `Dfp` given a String representation.
newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
  Creates a `Dfp` with a non-finite value.
newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Creates a new instance of the same class as `this` is, with a given `arrayRepresentation`.
newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
  Creates an instance with a non-finite value.
newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
  Creates an instance with a non-finite value.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads model x and y sample data from a flat input array, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Replace sample data, overriding any previous sample.
newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads model x and y sample data from a flat input array, overriding any previous sample.
NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements Newton's Method for finding zeros of real univariate differentiable functions.
NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Construct a solver.
NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Construct a solver.
NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `NewtonRaphsonSolver`
NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Construct a solver.
NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Construct a solver.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads new x sample data, overriding any previous data.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads new x sample data, overriding any previous data.
newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads new y sample data, overriding any previous data.
next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
next(int) - Method in class org.apache.commons.math3.random.AbstractWell
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well1024a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937c
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497b
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well512a
  Generate next pseudorandom number.
next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the next number greater than this one in the direction of x.
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
  Returns the next number greater than this one in the direction of x.
nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the next machine representable number after a number, moving in the direction of another number.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Beta Distribution`.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Beta Distribution`.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Binomial Distribution`.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Binomial Distribution`.
nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Cauchy Distribution`.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Cauchy Distribution`.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `ChiSquare Distribution`.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `ChiSquare Distribution`.
nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the exponential distribution with specified mean.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `F Distribution`.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `F Distribution`.
nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Gamma Distribution`.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Gamma Distribution`.
nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Start the population for the next generation.
nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Evolve the given population into the next generation.
nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
  Start the population for the next generation.
nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random string of hex characters of length `len`.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random string of hex characters of length `len`.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random string of hex characters of length `len`.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Hypergeometric Distribution`.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Hypergeometric Distribution`.
nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  use the distribution's sample() method
nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  use the distribution's sample() method
nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns a pseudorandom, uniformly distributed `long` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
  Generate a random scalar with zero location and unit scale.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Pascal Distribution`.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Pascal Distribution`.
nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the Poisson distribution with the given mean.
nextPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
  Return the smallest prime greater than or equal to n.
nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random string of hex characters from a secure random sequence.
nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `T Distribution`.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `T Distribution`.
nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute next number towards positive infinity.
nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute next number towards positive infinity.
nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Generate a correlated random vector.
nextVector() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
  Generate a random vector.
nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
  Generate a random vector.
nextVector() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
  Generate a random vector.
nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Generate an uncorrelated random vector.
nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  Generate a random vector.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Weibull Distribution`.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Weibull Distribution`.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Zipf Distribution`.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Zipf Distribution`.
NoBracketingException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when function values have the same sign at both ends of an interval.
NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
  Construct the exception.
NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
  Construct the exception with a specific context.
NoDataException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the required data is missing.
NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException
  Construct the exception.
NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException
  Construct the exception with a specific context.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear
  This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
  Simple constructor using a default message.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
  Deprecated.
  Simple constructor using a default message.
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Constructor with default tolerances for the line search (1e-8) and `preconditioner`.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Deprecated.
  as of 3.3. Please use `NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double)` instead.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Constructor with default `preconditioner`.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Deprecated.
  as of 3.3. Please use `NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double,Preconditioner)` instead.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Constructor with default `line search solver` and `preconditioner`.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Constructor with default `preconditioner`.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Deprecated.
  As of v3.3, this class is not used anymore. This setting is replaced by the `initialBracketingRange` argument to the new constructors.
NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
  Deprecated.
NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Deprecated.
NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Construct the exception.
NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Construct the exception.
NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
  A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a positive definite matrix is expected.
NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
  Construct an exception.
NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a symmetric, definite positive `RealLinearOperator` is expected.
NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
  Creates a new instance of this class.
NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a self-adjoint `RealLinearOperator` is expected.
NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
  Creates a new instance of this class.
NonSquareMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a square matrix is expected.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException
  Construct an exception from the mismatched dimensions.
NonSquareOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a square linear operator is expected.
NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException
  Construct an exception from the mismatched dimensions.
NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a symmetric matrix is expected.
NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Construct an exception.
nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Nordsieck matrix of the higher scaled derivatives.
NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
  This class implements an interpolator for integrators using Nordsieck representation.
NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Simple constructor.
NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Copy constructor.
normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Calculates the Poisson distribution function using a normal approximation.
NormalApproximationInterval - Class in org.apache.commons.math3.stat.interval
  Implements the normal approximation method for creating a binomial proportion confidence interval.
NormalApproximationInterval() - Constructor for class org.apache.commons.math3.stat.interval.NormalApproximationInterval
NormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the normal (gaussian) distribution.
NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution with mean equal to zero and standard deviation equal to one.
NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution using the given mean and standard deviation.
NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
NormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Creates a normal distribution.
NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Creates a normal distribution.
normalize() - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the normalized quaternion (the versor of the instance).
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a normalized vector aligned with the instance.
normalize() - Method in interface org.apache.commons.math3.geometry.Vector
  Get a normalized vector aligned with the instance.
normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
  Normalize an angle in a 2π wide interval around a center value.
normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
  Normalizes an array to make it sum to a specified value.
NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
  This interface represent a normalized random generator for scalars.
NotANumberException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is not a number.
NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException
  Construct the exception.
NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed
  This class represents exceptions thrown while building rotations from matrices.
NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
  Simple constructor.
NotFiniteNumberException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is not finite.
NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
  Construct the exception.
NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
  Construct the exception with a specific context.
NotPositiveException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the argument is negative.
NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
  Construct the exception.
NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
  Construct the exception with a specific context.
NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the argument is not greater than 0.
NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
  Construct the exception.
NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
  Construct the exception with a specific context.
NPointCrossover<T> - Class in org.apache.commons.math3.genetics
  N-point crossover policy.
NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
  Creates a new `NPointCrossover` policy using the given number of points.
nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
  Computes the n-th roots of this complex number.
NullArgumentException - Exception in org.apache.commons.math3.exception
  All conditions checks that fail due to a `null` argument must throw this exception.
NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
  Default constructor.
NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
NumberIsTooLargeException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is too large.
NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Construct the exception.
NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Construct the exception with a specific context.
NumberIsTooSmallException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is too small.
NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Construct the exception.
NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Construct the exception with a specific context.
NumberTransformer - Interface in org.apache.commons.math3.util
  Subclasses implementing this interface can transform Objects to doubles.
numVars() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Find the number of variables.

## O

objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Scalar function to be optimized.
ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Gradient of the scalar function to be optimized.
ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
  A format for `RealMatrix` objects compatible with octave.
ODEIntegrator - Interface in org.apache.commons.math3.ode
  This interface defines the common parts shared by integrators for first and second order differential equations.
OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Create an empty OLSMultipleLinearRegression instance.
OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.
ONE - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "1.0 + 0.0i"
ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Unit (coordinates: 1).
ONE - Static variable in class org.apache.commons.math3.util.BigReal
  A big real representing 1.
ONE - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `1d` as a `Decimal64`.
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/2".
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/3".
OnePointCrossover<T> - Class in org.apache.commons.math3.genetics
  One point crossover policy.
OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover
OneWayAnova - Class in org.apache.commons.math3.stat.inference
  Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova
  Default constructor.
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util
  Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util
  Iterator class for the map.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math3.util
  Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with default size
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with specified size.
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util
  Iterator class for the map.
OpenMapRealMatrix - Class in org.apache.commons.math3.linear
  Sparse matrix implementation based on an open addressed map.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
  Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
  Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math3.linear
  This class implements the `RealVector` interface with a `OpenIntToDoubleHashMap` backing store.
OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Build a 0-length vector.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Construct a vector of zeroes.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Construct a vector of zeroes, specifying zero tolerance.
OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Build a resized vector, for use with append.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Create from an array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Create from an array, specifying zero tolerance.
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Create from an array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Create from an array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Copy constructor.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Generic copy constructor.
OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear
  Implementation of `Entry` optimized for OpenMap.
OpenMapRealVector.OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Build an entry from an iterator point to an element.
OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear
  Iterator class to do iteration over just the non-zero elements.
OpenMapRealVector.OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Simple constructor.
operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying `this` by the vector `x`.
operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the result of multiplying this by the vector `v`.
operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the result of multiplying `this` by the vector `x`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the result of multiplying `this` by the vector `x`.
operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying this by the vector `v`.
operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the result of multiplying the transpose of `this` operator by the vector `x` (optional operation).
OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
  Key for the exception context.
oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship
  Gets the relationship obtained when multiplying all coefficients by -1.
oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Get the relationship obtained when multiplying all coefficients by -1.
OptimizationData - Interface in org.apache.commons.math3.optim
  Marker interface.
OptimizationData - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
OptimizationProblem<PAIR> - Interface in org.apache.commons.math3.optim
  Common settings for all optimization problems.
optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
  Solve the non-linear least squares problem.
optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer
  Solve the non-linear least squares problem.
optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Solve the non-linear least squares problem.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Stores data and performs the optimization.
optimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Deprecated.
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Stores data and performs the optimization.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
  Deprecated.
  As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this `method`.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this `method`.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateVectorOptimizer.optimize(int,MultivariateVectorFunction,OptimizationData[])` instead.
optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)` instead.
optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)` instead.
optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Optimizes an objective function.
optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int,MultivariateVectorFunction,OptimizationData[])` instead.
optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  In 3.1. Please use `AbstractDifferentiableOptimizer.optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[])` instead.
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Override is necessary only until this class's generic argument is changed to `MultivariateDifferentiableVectorFunction`.
optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
OrderedCrossover<T> - Class in org.apache.commons.math3.genetics
  Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.
OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover
OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements an ordering operation for T-uples.
OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Build an ordered T-uple from its components.
org.apache.commons.math3 - package org.apache.commons.math3
  Common classes used throughout the commons-math library.
org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis
  Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation
  This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function
  The `function` package contains function objects that wrap the methods contained in `Math`, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration
  Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss
  Gauss family of quadrature schemes.
org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation
  Univariate real functions interpolation algorithms.
org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials
  Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers
  Root finding algorithms, for univariate real functions.
org.apache.commons.math3.complex - package org.apache.commons.math3.complex
  Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp
  Decimal floating point library for Java
org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution
  Implementations of common discrete and continuous distributions.
org.apache.commons.math3.distribution.fitting - package org.apache.commons.math3.distribution.fitting
  Fitting of parameters against distributions.
org.apache.commons.math3.exception - package org.apache.commons.math3.exception
  Specialized exceptions for algorithms errors.
org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util
  Classes supporting exception localization.
org.apache.commons.math3.filter - package org.apache.commons.math3.filter
  Implementations of common discrete-time linear filters.
org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting
  Classes to perform curve fitting.
org.apache.commons.math3.fitting.leastsquares - package org.apache.commons.math3.fitting.leastsquares
  This package provides algorithms that minimize the residuals between observations and model values.
org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction
  Fraction number type and fraction number formatting.
org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics
  This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry
  This package is the top level package for geometry.
org.apache.commons.math3.geometry.enclosing - package org.apache.commons.math3.geometry.enclosing
  This package provides interfaces and classes related to the smallest enclosing ball problem.
org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned
  This package provides basic 1D geometry components.
org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed
  This package provides basic 3D geometry components.
org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod
  This package provides basic 2D geometry components.
org.apache.commons.math3.geometry.euclidean.twod.hull - package org.apache.commons.math3.geometry.euclidean.twod.hull
  This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
org.apache.commons.math3.geometry.hull - package org.apache.commons.math3.geometry.hull
  This package provides interfaces and classes related to the convex hull problem.
org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning
  This package provides classes to implement Binary Space Partition trees.
org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities
  This package provides multidimensional ordering features for partitioning.
org.apache.commons.math3.geometry.spherical.oned - package org.apache.commons.math3.geometry.spherical.oned
  This package provides basic geometry components on the 1-sphere.
org.apache.commons.math3.geometry.spherical.twod - package org.apache.commons.math3.geometry.spherical.twod
  This package provides basic geometry components on the 2-sphere.
org.apache.commons.math3.linear - package org.apache.commons.math3.linear
  Linear algebra support.
org.apache.commons.math3.ml - package org.apache.commons.math3.ml
  Base package for machine learning algorithms.
org.apache.commons.math3.ml.clustering - package org.apache.commons.math3.ml.clustering
  Clustering algorithms.
org.apache.commons.math3.ml.clustering.evaluation - package org.apache.commons.math3.ml.clustering.evaluation
  Cluster evaluation methods.
org.apache.commons.math3.ml.distance - package org.apache.commons.math3.ml.distance
  Common distance measures.
org.apache.commons.math3.ml.neuralnet - package org.apache.commons.math3.ml.neuralnet
  Neural networks.
org.apache.commons.math3.ml.neuralnet.oned - package org.apache.commons.math3.ml.neuralnet.oned
  One-dimensional neural networks.
org.apache.commons.math3.ml.neuralnet.sofm - package org.apache.commons.math3.ml.neuralnet.sofm
  Self Organizing Feature Map.
org.apache.commons.math3.ml.neuralnet.sofm.util - package org.apache.commons.math3.ml.neuralnet.sofm.util
  Miscellaneous utilities.
org.apache.commons.math3.ml.neuralnet.twod - package org.apache.commons.math3.ml.neuralnet.twod
  Two-dimensional neural networks.
org.apache.commons.math3.ode - package org.apache.commons.math3.ode
  This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events
  This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
  This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling
  This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math3.optim - package org.apache.commons.math3.optim
  Generally, optimizers are algorithms that will either `minimize` or `maximize` a scalar function, called the `objective function`.
org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear
  Optimization algorithms for linear constrained problems.
org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar
  Algorithms for optimizing a scalar function.
org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector
  Algorithms for optimizing a vector function.
org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate
  One-dimensional optimization algorithms.
org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization
  All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct
  This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting
  This package provides classes to perform curve fitting.
org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear
  This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate
  Univariate real functions minimum finding algorithms.
org.apache.commons.math3.primes - package org.apache.commons.math3.primes
  Methods related to prime numbers like primality test, factor decomposition.
org.apache.commons.math3.random - package org.apache.commons.math3.random
  Random number and random data generators.
org.apache.commons.math3.special - package org.apache.commons.math3.special
  Implementations of special functions such as Beta and Gamma.
org.apache.commons.math3.stat - package org.apache.commons.math3.stat
  Data storage, manipulation and summary routines.
org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering
  All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation
  Correlations/Covariance computations.
org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive
  Generic univariate summary statistic objects.
org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment
  Summary statistics based on moments.
org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank
  Summary statistics based on ranks.
org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary
  Other summary statistics.
org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference
  Classes providing hypothesis testing.
org.apache.commons.math3.stat.interval - package org.apache.commons.math3.stat.interval
  Classes providing binomial proportion confidence interval construction.
org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking
  Classes providing rank transformations.
org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression
  Statistical routines involving multivariate data.
org.apache.commons.math3.transform - package org.apache.commons.math3.transform
  Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math3.util - package org.apache.commons.math3.util
  Convenience routines and common data structures used throughout the commons-math library.
OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D oriented hyperplane.
OrientedPoint(Vector1D, boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Simple constructor.
OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Deprecated.
  as of 3.3, replaced with `OrientedPoint.OrientedPoint(Vector1D, boolean, double)`
orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get a vector orthogonal to the instance.
orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a vector orthogonal to the instance.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the outer product.
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Optimized method to compute outer product when both vectors are sparse.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Compute the outer product.
OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed
  Extractor for `polyhedrons sets` outlines.
OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Build an extractor for a specific projection plane.
OutOfRangeException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when some argument is out of range.
OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
  Construct an exception from the mismatched dimensions.
OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
  Construct an exception from the mismatched dimensions with a specific context information.

## P

Pair<K,V> - Class in org.apache.commons.math3.util
  Generic pair.
Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
  Create an entry representing a mapping from the specified key to the specified value.
Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
  Create an entry representing the same mapping as the specified entry.
pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between `sample1` and `sample2` is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level `alpha`.
Parameterizable - Interface in org.apache.commons.math3.ode
  This interface enables to process any parameterizable object.
ParameterizedODE - Interface in org.apache.commons.math3.ode
  Interface to compute by finite difference Jacobian matrix for some parameter when computing `partial derivatives equations`.
ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
  Interface to compute exactly Jacobian matrix for some parameter when computing `partial derivatives equations`.
ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a real function that depends on one independent variable plus some extra parameters.
ParetoDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Pareto distribution.
ParetoDistribution() - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
  Create a Pareto distribution with a scale of `1` and a shape of `1`.
ParetoDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
  Create a Pareto distribution using the specified scale and shape.
ParetoDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
  Create a Pareto distribution using the specified scale, shape and inverse cumulative distribution accuracy.
ParetoDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
  Creates a log-normal distribution.
ParetoDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
  Creates a log-normal distribution.
parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Parses a string to produce a `Complex` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Parses a string to produce a `Complex` object.
parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Parses a string to produce a `Fraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Parses a string to produce a `Fraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Parses a string to produce a `Fraction` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Parses a string to produce a `Vector3D` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Parses a string to produce a `Vector3D` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Parse a string to produce a `RealMatrix` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Parse a string to produce a `RealMatrix` object.
parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Parse a string to produce a `RealVector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Parse a string to produce a `RealVector` object.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Parses `source` until a non-whitespace character is found.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` until a non-whitespace character is found.
parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce an array of coordinates.
parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parse `source` for an expected fixed string.
parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigInteger`.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Parses `source` until a non-whitespace character is found.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` until a non-whitespace character is found.
parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` for a number.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
  Deprecated.
  Returns the partial derivative of the function with respect to a point coordinate.
partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
PascalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Pascal distribution.
PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
  Create a Pascal distribution with the given number of successes and probability of success.
PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
  Create a Pascal distribution with the given number of successes and probability of success.
PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
  Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation instance without data.
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a `Covariance`.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a covariance matrix.
PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver with default accuracy (1e-6).
PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction percentage as a `double`.
percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction percentage as a `double`.
Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
  Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Constructs a Percentile with a default quantile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Constructs a Percentile with the specific quantile value.
Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Copy constructor, creates a new `Percentile` identical to the `original`
percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns an estimate of the `p`th percentile of the values in the `values` array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns an estimate of the `p`th percentile of the values in the `values` array, starting with the element in (0-based) position `begin` in the array and including `length` values.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
  Perform Householder reflection for a minor A(minor, minor) of A.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
  Perform Householder reflection for a minor A(minor, minor) of A.
PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
  Interface indicating that the chromosome represents a permutation of objects.
PI - Static variable in class org.apache.commons.math3.util.FastMath
  Archimede's constant PI, ratio of circle circumference to diameter.
PivotSelectionRule - Enum in org.apache.commons.math3.optim.linear
  Pivot selection rule to the use for a Simplex solver.
Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
  The class represent planes in a three dimensional space.
Plane(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane normal to a given direction and containing the origin.
Plane(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane from a point and a normal.
Plane(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane from three points.
Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Deprecated.
  as of 3.3, replaced with `Plane.Plane(Vector3D, double)`
Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Deprecated.
  as of 3.3, replaced with `Plane.Plane(Vector3D, Vector3D, double)`
Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Deprecated.
  as of 3.3, replaced with `Plane.Plane(Vector3D, Vector3D, Vector3D, double)`
Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Copy constructor.
PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  First canonical vector (coordinates: 1, 0, 0).
PLUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  +I (coordinates: \( \theta = 0, \varphi = \pi/2 \)).
PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Second canonical vector (coordinates: 0, 1, 0).
PLUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  +J (coordinates: \( \theta = \pi/2, \varphi = \pi/2 \))).
PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Third canonical vector (coordinates: 0, 0, 1).
PLUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
  +K (coordinates: \( \theta = any angle, \varphi = 0 \)).
Point<S extends Space> - Interface in org.apache.commons.math3.geometry
  This interface represents a generic geometrical point.
point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get one point from the line.
PointValuePair - Class in org.apache.commons.math3.optim
  This class holds a point and the value of an objective function at that point.
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
  Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
  Builds a point/objective function value pair.
PointValuePair - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointVectorValuePair - Class in org.apache.commons.math3.optim
  This class holds a point and the vectorial value of an objective function at that point.
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
  Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
  Build a point/objective function value pair.
PointVectorValuePair - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Build a point/objective function value pair.
PoissonDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Poisson distribution.
PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean.
PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with the specified mean and convergence criterion.
PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with the specified mean and maximum number of iterations.
polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
  Creates a complex number from the given polar representation.
PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a 2D region: a set of polygons.
PolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set representing the whole plane.
PolygonsSet(BSPTree<Euclidean2D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set from a BSP tree.
PolygonsSet(Collection<SubHyperplane<Euclidean2D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set from a Boundary REPresentation (B-rep).
PolygonsSet(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a parallellepipedic box.
PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygon from a simple list of vertices.
PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Deprecated.
  as of 3.3, replaced with `PolygonsSet.PolygonsSet(double)`
PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Deprecated.
  as of 3.3, replaced with `PolygonsSet.PolygonsSet(BSPTree, double)`
PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Deprecated.
  as of 3.3, replaced with `PolygonsSet.PolygonsSet(Collection, double)`
PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Deprecated.
  as of 3.3, replaced with `PolygonsSet.PolygonsSet(double, double, double, double, double)`
PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a 3D region: a set of polyhedrons.
PolyhedronsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set representing the whole real line.
PolyhedronsSet(BSPTree<Euclidean3D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set from a BSP tree.
PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set from a Boundary REPresentation (B-rep).
PolyhedronsSet(double, double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a parallellepipedic box.
PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Deprecated.
  as of 3.3, replaced with `PolyhedronsSet.PolyhedronsSet(double)`
PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Deprecated.
  as of 3.3, replaced with `PolyhedronsSet.PolyhedronsSet(BSPTree, double)`
PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Deprecated.
  as of 3.3, replaced with `PolyhedronsSet.PolyhedronsSet(Collection, double)`
PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Deprecated.
  as of 3.3, replaced with `PolyhedronsSet.PolyhedronsSet(double, double, double, double, double, double, double)`
PolynomialCurveFitter - Class in org.apache.commons.math3.fitting
  Fits points to a `polynomial` function.
polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the derivative as a `PolynomialFunction`.
PolynomialFitter - Class in org.apache.commons.math3.fitting
  Deprecated.
  As of 3.3. Please use `PolynomialCurveFitter` and `WeightedObservedPoints` instead.
PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
  Deprecated.
  Simple constructor.
PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Since 3.1 (to be removed in 4.0). Please use `PolynomialFitter.PolynomialFitter(DifferentiableMultivariateVectorOptimizer)` instead.
PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Simple constructor.
PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
  Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Construct a polynomial with the given coefficients.
PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
  Dedicated parametric polynomial class.
PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
  Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
  Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Construct a Newton polynomial with the given a[] and c[].
PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (polynomial) root-finding algorithms.
polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the derivative of the polynomial spline function.
PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
  Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
  A collection of static methods that operate on or return polynomials.
Population - Interface in org.apache.commons.math3.genetics
  A collection of chromosomes that facilitates generational evolution.
populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the input array, or `Double.NaN` if the array is empty.
populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the input array, using the precomputed mean value.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.POSITIVE_INFINITY` as a `Decimal64`.
positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is greater than or equal to 0.
pow(double, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute ax where a is a double and x a `DerivativeStructure`
pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Power operation.
pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Integer power operation.
pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Power operation.
pow(double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute power of a double to a derivative structure.
pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute power of a derivative structure.
pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute integer power of a derivative structure.
pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute power of a derivative structure.
pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Power operation.
pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Integer power operation.
pow(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Power operation.
pow(double, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute ax where a is a double and x a `SparseGradient`
Pow - Class in org.apache.commons.math3.analysis.function
  Power function.
Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns of value of this complex number raised to the power of `x`.
pow(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns of value of this complex number raised to the power of `x`.
pow(double) - Method in class org.apache.commons.math3.dfp.Dfp
  Power operation.
pow(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Integer power operation.
pow(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Power operation.
pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Raises base to the power a by successive squaring.
pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes x to the y power.
pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(this<sup>exponent</sup>)`, returning the result in reduced form.
pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(thisexponent)`, returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(thisexponent)`, returning the result in reduced form.
pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `double` whose value is `(thisexponent)`, returning the result in reduced form.
pow(double) - Method in interface org.apache.commons.math3.RealFieldElement
  Power operation.
pow(int) - Method in interface org.apache.commons.math3.RealFieldElement
  Integer power operation.
pow(T) - Method in interface org.apache.commons.math3.RealFieldElement
  Power operation.
pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise an int to an int power.
pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  As of 3.3. Please use `ArithmeticUtils.pow(int,int)` instead.
pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a long to an int power.
pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  As of 3.3. Please use `ArithmeticUtils.pow(long,int)` instead.
pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to a BigInteger power.
pow(double) - Method in class org.apache.commons.math3.util.Decimal64
  Power operation.
pow(int) - Method in class org.apache.commons.math3.util.Decimal64
  Integer power operation.
pow(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Power operation.
pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Power function.
pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
  Raise a double to an int power.
PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Powell's algorithm.
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Builds an instance with the default convergence checking procedure.
PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Builds an instance with the default convergence checking procedure.
Power - Class in org.apache.commons.math3.analysis.function
  Power function.
Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result multiplying this with itself `p` times.
power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying `this` with itself `p` times.
power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result multiplying this with itself `p` times.
power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying `this` with itself `p` times.
power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Return the specified power of 10.
power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Get the specified power of 10000.
Precision - Class in org.apache.commons.math3.util
  Utilities for comparing numbers.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
  Precondition a search direction.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Deprecated.
  Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
  Deprecated.
  Precondition a search direction.
PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
  This abstract class defines preconditioned iterative solvers.
PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Creates a new instance of this class, with default iteration manager.
PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Creates a new instance of this class, with custom iteration manager.
Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  This interface represents a preconditioner for differentiable scalar objective function optimizers.
Preconditioner - Interface in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the "predicted" `y` value associated with the supplied `x` value, based on the data that has been added to the model when this method is activated.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Premultiply this matrix by `m`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of premultiplying `this` by `m`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Premultiply this matrix by `m`.
preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of premultiplying `this` by `m`.
preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
primeFactors(int) - Static method in class org.apache.commons.math3.primes.Primes
  Prime factors decomposition
Primes - Class in org.apache.commons.math3.primes
  Methods related to prime numbers in the range of `int`: primality test prime number generation factorization
probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
ProcessModel - Interface in org.apache.commons.math3.filter
  Defines the process dynamics model for the use with a `KalmanFilter`.
Product - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
  Create a Product instance
Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
  Copy constructor, creates a new `Product` identical to the `original`
product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the product of the entries in the input array, or `Double.NaN` if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
project(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Project a point to the hyperplane.
project(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Project a point to the hyperplane.
project(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Project a point to the hyperplane.
project(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Project a point to the hyperplane.
project(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Project a point to the hyperplane.
project(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Project a point to the hyperplane.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Find the orthogonal projection of this vector onto another vector.
projectToBoundary(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Project a point on the boundary of the region.
projectToBoundary(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Project a point on the boundary of the region.
projectToBoundary(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Project a point on the boundary of the region.
projectToBoundary(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Project a point on the boundary of the region.
ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns `true` if `IterativeLinearSolverEvent.getResidual()` is supported.
providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns `true` if `IterativeLinearSolverEvent.getResidual()` is supported.
pruneAroundConvexCell(Object, Object, Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Prune a tree around a cell.
put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
  Sets a Class to Transformer Mapping in the Map.

## Q

QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for quiet NaN.
QRDecomposition - Class in org.apache.commons.math3.linear
  Calculates the QR-decomposition of a matrix.
QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
  Calculates the QR-decomposition of the given matrix.
QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
  Calculates the QR-decomposition of the given matrix.
quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
  Creates an sigmoid-like `LearningFactorFunction function`.
quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
  Creates an sigmoid-like `NeighbourhoodSizeFunction function`.
QuasiSigmoidDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
  Decay function whose shape is similar to a sigmoid.
QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
  Creates an instance.
Quaternion - Class in org.apache.commons.math3.complex
  This class implements quaternions (Hamilton's hypercomplex numbers).
Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a quaternion from its components.
Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a quaternion from scalar and vector parts.
Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a pure quaternion from a vector (assuming that the scalar part is zero).

## R

RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
  The radix, or base of this system.
random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
  RNG instance used to generate samples from the distribution.
random() - Static method in class org.apache.commons.math3.util.FastMath
  Returns a pseudo-random number between 0.0 and 1.0.
RandomAdaptor - Class in org.apache.commons.math3.random
  Extension of `java.util.Random` wrapping a `RandomGenerator`.
RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
  Construct a RandomAdaptor wrapping the supplied RandomGenerator.
randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
  Returns a representation of a random binary array of length `length`.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use the `AbstractIntegerDistribution.random` instance variable instead.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use the `AbstractRealDistribution.random` instance variable instead.
randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  RandomDataGenerator instance to use in repeated calls to getNext()
RandomData - Interface in org.apache.commons.math3.random
  Deprecated.
  to be removed in 4.0. Use `RandomDataGenerator` directly
RandomDataGenerator - Class in org.apache.commons.math3.random
  Implements the `RandomData` interface using a `RandomGenerator` instance to generate non-secure data and a `SecureRandom` instance to provide data for the `nextSecureXxx` methods.
RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
  Construct a RandomDataGenerator, using a default random generator as the source of randomness.
RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
  Construct a RandomDataGenerator using the supplied `RandomGenerator` as the source of (non-secure) random data.
RandomDataImpl - Class in org.apache.commons.math3.random
  Deprecated.
  to be removed in 4.0. Use `RandomDataGenerator` instead
RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Construct a RandomDataImpl, using a default random generator as the source of randomness.
RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Construct a RandomDataImpl using the supplied `RandomGenerator` as the source of (non-secure) random data.
RandomGenerator - Interface in org.apache.commons.math3.random
  Interface extracted from `java.util.Random`.
RandomGeneratorFactory - Class in org.apache.commons.math3.random
  Utilities for creating `RandomGenerator` instances.
randomize(RealDistribution, FeatureInitializer) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
  Adds some amount of random data to the given initializer.
RandomKey<T> - Class in org.apache.commons.math3.genetics
  Random Key chromosome is used for permutation representation.
RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
  Constructor.
RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
  Constructor.
RandomKeyMutation - Class in org.apache.commons.math3.genetics
  Mutation operator for `RandomKey`s.
RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
RandomVectorGenerator - Interface in org.apache.commons.math3.random
  This interface represents a random generator for whole vectors.
rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Rank `data` using the natural ordering on Doubles, with NaN values handled according to `nanStrategy` and ties resolved using `tiesStrategy.`
rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
  Performs a rank transformation on the input data, returning an array of ranks.
RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
  Interface representing a rank transformation.
readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Read the base state of the instance.
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
readResolve() - Method in class org.apache.commons.math3.complex.Complex
  Resolve the transient fields in a deserialized Complex Object.
RealDistribution - Interface in org.apache.commons.math3.distribution
  Base interface for distributions on the reals.
RealFieldElement<T> - Interface in org.apache.commons.math3
  Interface representing a real field.
RealLinearOperator - Class in org.apache.commons.math3.linear
  This class defines a linear operator operating on real (`double`) vector spaces.
RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
RealMatrix - Interface in org.apache.commons.math3.linear
  Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
RealMatrixFormat - Class in org.apache.commons.math3.linear
  Formats a `nxm` matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}".
RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with default settings.
RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with a custom number format for components.
RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with custom prefix, suffix and separator.
RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with custom prefix, suffix, separator and format for components.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
RealTransformer - Interface in org.apache.commons.math3.transform
  Interface for one-dimensional data sets transformations producing real results.
RealVector - Class in org.apache.commons.math3.linear
  Class defining a real-valued vector with basic algebraic operations.
RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
RealVector.Entry - Class in org.apache.commons.math3.linear
  An entry in the vector.
RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
  Simple constructor.
RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
  This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.
RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Simple constructor.
RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
RealVectorFormat - Class in org.apache.commons.math3.linear
  Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with default settings.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with a custom number format for components.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with custom prefix, suffix, separator and format for components.
RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.complex.Complex
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in interface org.apache.commons.math3.FieldElement
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
  Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
  Return the multiplicative inverse of this fraction.
reciprocal() - Method in interface org.apache.commons.math3.RealFieldElement
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.util.BigReal
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
  Returns the multiplicative inverse of `this` element.
RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
  Calculates the rectangular Cholesky decomposition of a matrix.
RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Decompose a symmetric positive semidefinite matrix.
reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
  Reduce this `BigFraction` to its lowest terms.
reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
  Reduce `|a - offset|` to the primary interval `[0, |period|)`.
reducePoints(Collection<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
  Returns a point set that is reduced by all points for which it is safe to assume that they are not part of the convex hull.
Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents a region of a space as a partition.
Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate for the location of a point with respect to the region.
RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class is a factory for `Region`.
RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Simple constructor.
registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Register the variational equations for the Jacobians matrices to the expandable set.
regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using all regressors.
regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using a subset of regressors.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Performs a regression on data present in buffers and outputs a RegressionResults object.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Performs a regression on data present in buffers and outputs a RegressionResults object
regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults - Class in org.apache.commons.math3.stat.regression
  Results of a Multiple Linear Regression model fit.
RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
  Constructor for Regression Results.
RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver with default accuracy (1e-6).
RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Reinitialize the instance
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Reinitialize the instance.
reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Reinitialize the instance.
reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
  Reinitialize the beginning of the step.
Relationship - Enum in org.apache.commons.math3.optim.linear
  Types of relationships between two cells in a Solver `LinearConstraint`.
Relationship - Enum in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  IEEE remainder operator.
remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  IEEE remainder operator.
remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform remainder of two derivative structures.
remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  IEEE remainder operator.
remainder(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  IEEE remainder operator.
remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the IEEE remainder.
remainder(double) - Method in class org.apache.commons.math3.dfp.Dfp
  IEEE remainder operator.
remainder(double) - Method in interface org.apache.commons.math3.RealFieldElement
  IEEE remainder operator.
remainder(T) - Method in interface org.apache.commons.math3.RealFieldElement
  IEEE remainder operator.
remainder(double) - Method in class org.apache.commons.math3.util.Decimal64
  IEEE remainder operator.
remainder(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  IEEE remainder operator.
remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Remove the value associated with a key.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for removed table entries.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for removed table entries.
removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Removes the observation (x,y) from the regression data set.
removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Removes observations represented by the elements in `data`.
removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
  Removes the specified iteration listener from the list of listeners currently attached to `this` object.
removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Removes the most recent value from the dataset.
removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Removes a Class to Transformer Mapping in the Map.
replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Replaces the most recently stored value with the given value.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Replace the worst point of the simplex by a new point.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Replace the worst point of the simplex by a new point.
REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Replay data from valuesFilePath.
representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Computes a number `delta` close to `originalDelta` with the property that
rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Rescale the instance.
reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Reseeds the random number generator used by `EmpiricalDistribution.getNextValue()`.
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the random number generator with `System.currentTimeMillis() + System.identityHashCode(this))`.
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the random number generator with `System.currentTimeMillis() + System.identityHashCode(this))`.
reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
  Reseeds the random data generator.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Reseed the random generator used to generate samples.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the secure random number generator with the supplied seed.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the secure random number generator with the supplied seed.
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Reset the instance as if built from two points.
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Reset the instance as if built from a point and a normal.
reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Reset the instance from another one.
reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Reset the instance as if built from two points.
reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Reset the instance as if built from a line and an angle.
reset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Reset the instance as if built from a pole.
reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
  Let the event handler reset the state if it wants.
resetCount() - Method in class org.apache.commons.math3.util.Incrementor
  Resets the counter to 0.
resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Reset internal state to dummy values.
resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
  Sets the iteration count to 0.
resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Indicator that a state or derivative reset was triggered by some event.
resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
  Resets REPLAY_MODE file pointer to the beginning of the `valuesFileURL`.
resetState(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
  Reset the state prior to continue the integration.
resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Reset the state prior to continue the integration.
ResizableDoubleArray - Class in org.apache.commons.math3.util
  A variable length `DoubleArray` implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with default properties.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity.
ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance from an existing `double[]` with the initial capacity and numElements corresponding to the size of the supplied `double[]` array.
ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double)` instead.
ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double,double)` instead.
ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double,double,ExpansionMode,double[])` instead.
ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Copy constructor.
ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
  Specification of expansion algorithm.
restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Compute the union of the instance and another sub-hyperplane.
reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Compute the union of the instance and another sub-hyperplane.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Revert a rotation.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get a line with reversed direction.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Revert a rotation.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Revert the instance.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Revert the plane.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Revert the instance.
revertSelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Revert the instance.
RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver with default accuracy (1e-6).
RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver.
RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver.
rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
Rint - Class in org.apache.commons.math3.analysis.function
  `rint` function.
Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
rint() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to nearest integer using the round-half-even method.
rint() - Method in interface org.apache.commons.math3.RealFieldElement
  Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math3.util.Decimal64
  Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Maximal number of iterations for Romberg.
RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Build a Romberg integrator with given accuracies and iterations counts.
RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Build a Romberg integrator with given iteration counts.
RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Construct a Romberg integrator with default settings (max iteration count set to `RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT`)
rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
  Calculates the root log-likelihood ratio for 2 state Datasets.
rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Nth root.
rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute nth root of a derivative structure.
rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Nth root.
rootN(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Nth root.
rootN(int) - Method in interface org.apache.commons.math3.RealFieldElement
  Nth root.
rootN(int) - Method in class org.apache.commons.math3.util.Decimal64
  Nth root.
RootsOfUnity - Class in org.apache.commons.math3.complex
  A helper class for the computation and caching of the `n`-th roots of unity.
RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
  Build an engine for computing the `n`-th roots of unity.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Rotate the plane around the specified point.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Rotate the region around the specified point.
Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements rotations in a three-dimensional space.
Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from the quaternion coordinates.
Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from an axis and an angle.
Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from a 3X3 matrix.
Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build the rotation that transforms a pair of vector into another pair.
Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build one of the rotations that transform one vector into another one.
Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from three Cardan or Euler elementary rotations.
RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the closest long to instance value.
round() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Get the closest long to instance value.
round(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Round this given the next digit n using the current rounding mode.
round() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the closest long to instance value.
round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
  Round this given the next digit n using the current rounding mode.
round() - Method in interface org.apache.commons.math3.RealFieldElement
  Get the closest long to instance value.
round() - Method in class org.apache.commons.math3.util.Decimal64
  Get the closest long to instance value.
round(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the closest long to x.
round(float) - Static method in class org.apache.commons.math3.util.FastMath
  Get the closest int to x.
round(double, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(float, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
RRQRDecomposition - Class in org.apache.commons.math3.linear
  Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
  Calculates the QR-decomposition of the given matrix.
RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
  Calculates the QR-decomposition of the given matrix.
run() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Simple constructor.

## S

S1Point - Class in org.apache.commons.math3.geometry.spherical.oned
  This class represents a point on the 1-sphere.
S1Point(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point
  Simple constructor.
S2Point - Class in org.apache.commons.math3.geometry.spherical.twod
  This class represents a point on the 2-sphere.
S2Point(double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Simple constructor.
S2Point(Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
  Simple constructor.
SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
  Safe minimum, such that `1 / SAFE_MIN` does not overflow.
safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns the Cartesian norm (2-norm), handling both overflow and underflow.
sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Check if the instance has the same orientation as another hyperplane.
sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Samples the specified univariate real function on the specified interval.
sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
  Generate a random sample from the distribution.
sample(int, T[]) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  This implementation uses the following algorithms:
sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Generates a random value vector sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Generate a random value sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Generate a random value sampled from this distribution.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Check the integration span.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Check the integration span.
scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed absolute scalar error.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Multiply the instance by a scalar.
scalarMultiply(T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
  Multiply the instance by a scalar.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply the instance by a power of 2.
scalb(int) - Method in interface org.apache.commons.math3.RealFieldElement
  Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.util.Decimal64
  Multiply the instance by a power of 2.
scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
  Multiply a double number by a power of 2.
scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
  Multiply a float number by a power of 2.
scale(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Create a copy of an array scaled by a value.
scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Multiply every component in the given real array by the given real number.
scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Multiply every component in the given complex array by the given real number.
scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  First scaled derivative (h y').
scaleInPlace(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Multiply each element of an array by a value.
scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed relative scalar error.
score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
  Computes the evaluation score for the given list of clusters.
score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
scramble(int, int, int, int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
  Performs scrambling of digit `d_j` according to the formula:
search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
  Finds the number `alpha` that optimizes `f(startPoint + alpha * direction)`.
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Search new points that bracket a local optimum of the function.
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Search new points that bracket a local optimum of the function.
searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
  Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
SearchInterval - Class in org.apache.commons.math3.optim.univariate
  Search interval and (optional) start value.
SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
SecantSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Secant method for root-finding (approximating a zero of a univariate real function).
SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver with default accuracy (1e-6).
SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver.
SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver.
SecondaryEquations - Interface in org.apache.commons.math3.ode
  This interface allows users to add secondary differential equations to a primary set of differential equations.
SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Create a SecondMoment instance
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Copy constructor, creates a new `SecondMoment` identical to the `original`
SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
  This interface represents a second order differential equations set.
SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
  This interface represents a second order integrator for differential equations.
Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
  Simple container for a two-points segment.
Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Build a segment.
Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
  Simple container for a two-points segment.
Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Build a segment.
select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
  Select two chromosomes from the population.
select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Select two chromosomes from the population.
selectFarthest(Iterable<P>, EnclosingBall<S, P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
  Select the point farthest to the current ball.
SelectionPolicy - Interface in org.apache.commons.math3.genetics
  Algorithm used to select a chromosome pair from a population.
selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math3.ode.events.FilterType
  Get next function transformer in the specified direction.
SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with default (true) `biasCorrected` property and default (Downside) `varianceDirection` property.
SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `biasCorrected` property and default (Downside) `varianceDirection` property.
SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `Direction` property and default (true) `biasCorrected` property
SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `isBiasCorrected` property and the specified `Direction` property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Copy constructor, creates a new `SemiVariance` identical to the `original`
SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
  The direction of the semivariance - either upside or downside.
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Serialize a `RealMatrix`.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Serialize a `RealVector`.
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.RealVector
  Set all elements to a single value.
set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Set all elements to a single value.
setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Set the angle of the line.
setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Sets the arity (number of chromosomes drawn to the tournament).
setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Associate an attribute with the instance.
setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Set the barycenter of the instance.
setBarycenter(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Set the barycenter of the instance.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Sets the biasCorrected property.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Deprecated.
  use `ListPopulation.addChromosomes(Collection)` instead
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set the complete current state.
setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the step size control factors.
setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Deprecated.
  Sets the cost.
setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Sets the cost.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Set the data array.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Set the data array.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Modify the denominator format.
setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Sets the element at the specified index.
setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Sets the elitism rate, i.e.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entry in the specified row and column.
setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Set a single element.
setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
  Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Set a single element.
setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the equations.
setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.events.EventState
  Set the equation.
setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.setExpansionMode(ExpansionMode)` instead.
setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the gemoetric mean.
setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Sets the IEEE 854 status flags.
setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Sets some bits in the IEEE 854 status flags, without changing the already set bits.
setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Set the index of the entry.
setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1, this is a no-op.
setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the initial value of the Jacobian matrix with respect to state.
setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the initial value of a column of the Jacobian matrix with respect to one parameter.
setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Set the initial step used to bracket the optimum in line search.
setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the initial step size.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Set the time of the interpolated point.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Set the time of the interpolated point.
setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the interpolation order control parameter.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the kurtosis.
setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Set the maximal number of differential equations function evaluations.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the maximal growth factor for stepsize control.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the maximal growth factor for stepsize control.
setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
  Sets the upper limit for the counter.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the maximum.
setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Set the maximal number of iterations of the algorithm.
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the mean.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the minimum.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the minimal reduction factor for stepsize control.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the minimal reduction factor for stepsize control.
setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the data generation mode.
setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `mean` used in data generation.
setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Modify the numerator format.
setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the order control parameters.
setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Set the offset of the origin.
setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
  Set the value for a given parameter.
setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set a parameter Jacobian provider.
setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation to be used by `DescriptiveStatistics.getPercentile(double)`.
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Store a new point at location `index`.
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Store a new point at location `index`.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Replace all points.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Replace all points.
setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Sets the maximal population size.
setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set primary part of the current state.
setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Set the (static) random generator.
setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
  Set the rounding mode.
setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
  Sets the rounding mode for decimal divisions.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Sets the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the entries in row number `row` as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the safety factor for stepsize control.
setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the safety factor for stepsize control.
setScale(int) - Method in class org.apache.commons.math3.util.BigReal
  Sets the scale for division operations.
setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set secondary part of the current state.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `standard deviation` used in `ValueServer.GAUSSIAN_MODE`.
setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  As of 3.1. The initial simplex can now be passed as an argument of the `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` method.
setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Set the size of the instance.
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the skewness.
setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Restrict step range to a limited part of the global step.
setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Restrict step range to a limited part of the global step.
setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the stability check controls.
setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the starter integrator.
setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the stateInitialized flag.
setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the adaptive step size control parameters.
setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the adaptive step size control parameters.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a sequence of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Set a sequence of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Set a sequence of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Set a set of consecutive elements.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the Sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the sum of logs.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the sum of squares.
setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set current time.
setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Prepare for computation.
setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Prepare for computation.
setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Prepare for computation.
setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Prepare for computation.
setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Prepare for computation.
setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Method which a subclass must override whenever its internal state depend on the `input` parsed by this base class.
setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Method which a subclass must override whenever its internal state depend on the `input` parsed by this base class.
setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Sets the context (key, value) pair.
setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Set the value of the entry.
setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Set the value of the entry.
setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `values file URL` using a string URL representation.
setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the the `values file URL`.
setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Sets the variance direction
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the variance.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  WindowSize controls the number of values that contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  WindowSize controls the number of values that contribute to the reported statistics.
shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Compute the coefficients of the polynomial `Ps(x)` whose values at point `x` will be the same as the those from the original polynomial `P(x)` when computed at `x + shift`.
shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Shift one step forward.
shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
  Shift the mantissa left, and adjust the exponent to compensate.
shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
  Shift the mantissa right, and adjust the exponent to compensate.
shortValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `short`.
shuffle(int[], int, MathArrays.Position) - Static method in class org.apache.commons.math3.util.MathArrays
  Shuffle the entries of the given array.
shuffle(int[], int, MathArrays.Position, RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
  Shuffle the entries of the given array, using the Fisher–Yates algorithm.
shuffle(int[], RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
  Shuffle the entries of the given array.
shuffle(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Shuffle the entries of the given array.
side(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Compute the relative position of the instance with respect to an hyperplane.
Side - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate representing the location of an element with respect to an `hyperplane` of a space.
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Compute the relative position of the instance with respect to an hyperplane.
side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Compute the relative position of the instance with respect to an arc.
side(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
  Compute the relative position of the instance with respect to an hyperplane.
Sigmoid - Class in org.apache.commons.math3.analysis.function
  Sigmoid function.
Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
  Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
  Sigmoid function.
Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the `sigmoid function`, ordered as follows: Lower asymptote Higher asymptote
Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
sign - Variable in class org.apache.commons.math3.dfp.Dfp
  Sign bit: 1 for positive, -1 for negative.
signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute the signum of the instance.
signum() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute the signum of the instance.
Signum - Class in org.apache.commons.math3.analysis.function
  `signum` function.
Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
signum() - Method in class org.apache.commons.math3.dfp.Dfp
  Compute the signum of the instance.
signum() - Method in interface org.apache.commons.math3.RealFieldElement
  Compute the signum of the instance.
signum() - Method in class org.apache.commons.math3.util.Decimal64
  Compute the signum of the instance.
signum(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the signum of a number.
signum(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the signum of a number.
SimpleBounds - Class in org.apache.commons.math3.optim
  Simple optimization constraints: lower and upper bounds.
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
SimpleBounds - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only point coordinates.
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
  Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
  Builds an instance with specified thresholds.
SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleRegression - Class in org.apache.commons.math3.stat.regression
  Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
  Create an empty SimpleRegression instance
SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
  Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
  Simple implementation of the `ConvergenceChecker` interface that uses only objective function values.
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Builds an instance with specified thresholds.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only objective function values.
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
  Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
  Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only objective function values.
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Builds an instance with specified tolerance thresholds and iteration count.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Builds an instance with specified tolerance thresholds and iteration count.
SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements simplex-based direct search optimization.
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
SimplexSolver - Class in org.apache.commons.math3.optim.linear
  Solves a linear problem using the "Two-Phase Simplex" method.
SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with default settings.
SimplexSolver(double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with a specified accepted amount of error.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with a specified accepted amount of error.
SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with a specified accepted amount of error.
SimplexSolver - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Build a simplex solver with default settings.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Build a simplex solver with a specified accepted amount of error
SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Maximal number of iterations for Simpson.
SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Build a Simpson integrator with given accuracies and iterations counts.
SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Build a Simpson integrator with given iteration counts.
SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Construct an integrator with default settings.
sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Sine operation.
sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute sine of a derivative structure.
sin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Sine operation.
Sin - Class in org.apache.commons.math3.analysis.function
  Sine function.
Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
sin() - Method in class org.apache.commons.math3.complex.Complex
  Compute the sine of this complex number.
sin() - Method in class org.apache.commons.math3.dfp.Dfp
  Sine operation.
sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the sine of the argument.
sin() - Method in interface org.apache.commons.math3.RealFieldElement
  Sine operation.
sin() - Method in class org.apache.commons.math3.util.Decimal64
  Sine operation.
sin(double) - Static method in class org.apache.commons.math3.util.FastMath
  Sine function.
Sinc - Class in org.apache.commons.math3.analysis.function
  Sinc function, defined by
Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
  The sinc function, `sin(x) / x`.
Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
  Instantiates the sinc function.
singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Fast computation of a single step of ODE integration.
SingularMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a non-singular matrix is expected.
SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException
  Construct an exception.
SingularOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when trying to invert a singular operator.
SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException
  Creates a new instance of this class.
SingularValueDecomposition - Class in org.apache.commons.math3.linear
  Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
  Calculates the compact Singular Value Decomposition of the given matrix.
sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic sine operation.
sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic sine of a derivative structure.
sinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Hyperbolic sine operation.
Sinh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic sine function.
Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
sinh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic sine of this complex number.
sinh() - Method in class org.apache.commons.math3.dfp.Dfp
  Hyperbolic sine operation.
sinh() - Method in interface org.apache.commons.math3.RealFieldElement
  Hyperbolic sine operation.
sinh() - Method in class org.apache.commons.math3.util.Decimal64
  Hyperbolic sine operation.
sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic sine of a number.
sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes sin(a) Used when 0 < a < pi/4.
size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the number of elements of the tree.
size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get the number of elements stored in the map.
size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get the number of elements stored in the map.
Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Constructs a Skewness with an external moment
Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Copy constructor, creates a new `Skewness` identical to the `original`
skipTo(int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
  Skip to the i-th point in the Halton sequence.
skipTo(int) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
  Skip to the i-th point in the Sobol sequence.
SMALL_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
  When product of sample sizes is less than this value, 2-sample K-S test is exact
smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute a weighted loess fit on the data at the original abscissae.
smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute a loess fit on the data at the original abscissae.
SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a bicubic interpolation function.
SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Default constructor.
SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for signaling NaN.
SobolSequenceGenerator - Class in org.apache.commons.math3.random
  Implementation of a Sobol sequence.
SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
  Construct a new Sobol sequence generator for the given space dimension.
SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
  Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.
SolutionCallback - Class in org.apache.commons.math3.optim.linear
  A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
SolutionCallback() - Constructor for class org.apache.commons.math3.optim.linear.SolutionCallback
solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero root in the given interval.
solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero in the vicinity of `startValue`.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero root in the given interval.
solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero in the vicinity of `startValue`.
solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
  Solve for a zero in the given interval.
solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Find a zero near the midpoint of `min` and `max`.
solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Find a zero near the midpoint of `min` and `max`.
solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Convenience method to find a zero of a univariate real function.
solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Convenience method to find a zero of a univariate real function.
solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Solve for a zero in the given interval.
solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Solve for a zero in the given interval, start at `startValue`.
solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
  Solve the linear least squares problem Jx=r.
solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns the solution to the system (A - shift · I) · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  This is a utility function used by `AbstractIntegerDistribution.inverseCumulativeProbability(double)`.
solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Solve a system of composed of a Lower Triangular Matrix `RealMatrix`.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Solves Phase 1 of the Simplex method.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Solves Phase 1 of the Simplex method.
SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Default accuracy.
solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Solver a system composed of an Upper Triangular Matrix `RealMatrix`.
sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
  Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
  Sort an array in place and perform the same reordering of entries on other arrays.
Space - Interface in org.apache.commons.math3.geometry
  This interface represents a generic space, with affine and vectorial counterparts.
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Sparse matrix implementation based on an open addressed map.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Create a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Create a new SparseFieldMatrix with the supplied row and column dimensions.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Copy constructor.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Generic copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  This class implements the `FieldVector` interface with a `OpenIntToFieldHashMap` backing store.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Construct a vector of zeroes.
SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Build a resized vector, for use with append.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Copy constructor.
SparseGradient - Class in org.apache.commons.math3.analysis.differentiation
  First derivative computation with large number of variables.
sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Create a sparse iterator over the vector, which may omit some entries.
sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
  Create a sparse iterator over the vector, which may omit some entries.
SparseRealMatrix - Interface in org.apache.commons.math3.linear
  Marker interface for `RealMatrix` implementations that require sparse backing storage
SparseRealVector - Class in org.apache.commons.math3.linear
  Marker class for RealVectors that require sparse backing storage
SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
  Spearman's rank correlation.
SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation without data.
SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation with the given ranking algorithm.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
Sphere1D - Class in org.apache.commons.math3.geometry.spherical.oned
  This class implements a one-dimensional sphere (i.e.
Sphere1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.spherical.oned
  Specialized exception for inexistent sub-space.
Sphere1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException
  Simple constructor.
Sphere2D - Class in org.apache.commons.math3.geometry.spherical.twod
  This class implements a two-dimensional sphere (i.e.
SphereGenerator - Class in org.apache.commons.math3.geometry.euclidean.threed
  Class generating an enclosing ball from its support points.
SphereGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
SphericalCoordinates - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class provides conversions related to spherical coordinates.
SphericalCoordinates(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Build a spherical coordinates transformer from Cartesian coordinates.
SphericalCoordinates(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Build a spherical coordinates transformer from spherical coordinates.
SphericalPolygonsSet - Class in org.apache.commons.math3.geometry.spherical.twod
  This class represents a region on the 2-sphere: a set of spherical polygons.
SphericalPolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygons set representing the whole real 2-sphere.
SphericalPolygonsSet(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygons set representing a hemisphere.
SphericalPolygonsSet(Vector3D, Vector3D, double, int, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygons set representing a regular polygon.
SphericalPolygonsSet(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygons set from a BSP tree.
SphericalPolygonsSet(Collection<SubHyperplane<Sphere2D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygons set from a Boundary REPresentation (B-rep).
SphericalPolygonsSet(double, S2Point...) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
  Build a polygon from a simple list of vertices.
SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Breaks a string representation up into two dfp's.
split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Splits a `Dfp` into 2 `Dfp`'s such that their sum is equal to the input `Dfp`.
split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Split the instance in two parts by an hyperplane.
split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Split the instance in two parts by an hyperplane.
split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Split the instance in two parts by an hyperplane.
split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Split the instance in two parts by an hyperplane.
split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Split a BSP tree by an external sub-hyperplane.
split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Split the instance in two parts by an hyperplane.
split(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
  Split the instance in two parts by an arc.
split(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Split the instance in two parts by an hyperplane.
split(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
  Split the instance in two parts by an hyperplane.
splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Divide two numbers that are split in to two pieces that are meant to be added together.
splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Multiply two numbers that are split in to two pieces that are meant to be added together.
splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Raise a split base to the a power.
sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Square root.
sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Square root.
Sqrt - Class in org.apache.commons.math3.analysis.function
  Square-root function.
Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
sqrt() - Method in class org.apache.commons.math3.complex.Complex
  Compute the square root of this complex number.
sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
  Compute the square root.
sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the square root of `this` diagonal operator.
sqrt() - Method in interface org.apache.commons.math3.RealFieldElement
  Square root.
sqrt() - Method in class org.apache.commons.math3.util.Decimal64
  Square root.
sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the square root of a number.
sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
  Compute the square root of `1 - this2` for this complex number.
SquareNeighbourhood - Enum in org.apache.commons.math3.ml.neuralnet
  Defines neighbourhood types.
StableRandomGenerator - Class in org.apache.commons.math3.random
  This class provides a stable normalized random generator.
StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
  Create a new generator.
StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Constructs a StandardDeviation.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Copy constructor, creates a new `StandardDeviation` identical to the `original`
StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Contructs a StandardDeviation with the specified value for the `isBiasCorrected` property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Contructs a StandardDeviation with the specified value for the `isBiasCorrected` property and the supplied external moment.
start(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the initial guess.
start(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the initial guess.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
  Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
  Start visiting a vector.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  Start visiting a vector.
start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Start the integration.
start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1.
stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  State variation.
StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
  Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
  Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
  Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Constructor
StatUtils - Class in org.apache.commons.math3.stat
  StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
  Acknowledge the fact the step has been accepted by the integrator.
StepFunction - Class in org.apache.commons.math3.analysis.function
  Step function.
StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
  Builds a step function from a list of arguments and the corresponding values.
StepHandler - Interface in org.apache.commons.math3.ode.sampling
  This interface represents a handler that should be called after each successful step.
stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Step handler.
StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
  This interface represents an interpolator over the last step during an ODE integration.
StepNormalizer - Class in org.apache.commons.math3.ode.sampling
  This class wraps an object implementing `FixedStepHandler` into a `StepHandler`.
StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
  `Step normalizer` bounds settings.
StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
  `Step normalizer` modes.
stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Current stepsize.
stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Current step start time.
stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Deprecated.
  use `CombinatoricsUtils.stirlingS2(int, int)`
stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
  Returns the Stirling number of the second kind, "`S(n,k)`", the number of ways of partitioning an `n`-element set into `k` non-empty subsets.
stop() - Method in class org.apache.commons.math3.ode.events.EventState
  Check if the integration should be stopped at the end of the current step.
StoppingCondition - Interface in org.apache.commons.math3.genetics
  Algorithm used to determine when to stop evolution.
store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Method that will be called in order to store each found optimum.
store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Method that will be called in order to store each found optimum.
store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Method that will be called in order to store each found optimum.
StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
  Covariance implementation that does not require input data to be stored in memory.
StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Create a bias corrected covariance matrix with a given dimension.
StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
  Extends the definition of `UnivariateStatistic` with `StorelessUnivariateStatistic.increment(double)` and `StorelessUnivariateStatistic.incrementAll(double[])` methods for adding values and updating internal state.
storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Store the current step time.
strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is strictly less than 0.
strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is strictly greater than 0.
subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Subtract two long integers, checking for overflow.
SubCircle - Class in org.apache.commons.math3.geometry.spherical.twod
  This class represents a sub-hyperplane for `Circle`.
SubCircle(Hyperplane<Sphere2D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SubCircle
  Simple constructor.
SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents the remaining parts of an hyperplane after other parts have been chopped off.
SubHyperplane.SplitSubHyperplane<U extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Class holding the results of the `split` method.
SubHyperplane.SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Build a SplitSubHyperplane from its parts.
SubLimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
  This class represents sub-hyperplane for `LimitAngle`.
SubLimitAngle(Hyperplane<Sphere1D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
  Simple constructor.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a subset of a `Line`.
SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Simple constructor.
SubLine(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Create a sub-line from two endpoints.
SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Deprecated.
  as of 3.3, replaced with `SubLine.SubLine(Vector3D, Vector3D, double)`
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Create a sub-line from a segment.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a sub-hyperplane for `Line`.
SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Simple constructor.
SubLine(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Create a sub-line from two endpoints.
SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Deprecated.
  as of 3.3, replaced with `SubLine.SubLine(Vector2D, Vector2D, double)`
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Create a sub-line from a segment.
SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents sub-hyperplane for `OrientedPoint`.
SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Simple constructor.
SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a sub-hyperplane for `Plane`.
SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Simple constructor.
substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Substitutes `value` for the most recently added value.
subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '-' operator.
subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute this - a.
subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform subtraction of two derivative structures.
subtract(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Compute this - a.
subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  '-' operator.
Subtract - Class in org.apache.commons.math3.analysis.function
  Subtract the second operand from the first.
Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Subtract a polynomial from the instance.
subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this - subtrahend)`.
subtract(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this - subtrahend)`.
subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Subtracts two quaternions.
subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Subtracts a quaternion from the instance.
subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Subtract x from this.
subtract(double) - Method in class org.apache.commons.math3.dfp.Dfp
  '-' operator.
subtract(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this - a.
subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of an `BigInteger` from the value of this `BigFraction`, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of an `integer` from the value of this `BigFraction`, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of a `long` from the value of this `BigFraction`, returning the result in reduced form.
subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Subtract an integer from the fraction.
subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Subtract a scaled vector from the instance.
subtract(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a vector from the instance.
subtract(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a vector from the instance.
subtract(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a scaled vector from the instance.
subtract(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a scaled vector from the instance.
subtract(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a scaled vector from the instance.
subtract(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Subtract a scaled vector from the instance.
subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Subtract a scaled vector from the instance.
subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Subtract a scaled vector from the instance.
subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Subtract a vector from the instance.
subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Subtract a scaled vector from the instance.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Subtract `m` from this matrix.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns `this` minus `m`.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Subtract `m` from this matrix.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns `this` minus `m`.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute `this` minus `v`.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute `this` minus `v`.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Subtract `v` from this vector.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Subtract `m` from this matrix.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute `this - m`.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns `this` minus `m`.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Subtract `m` from this matrix.
subtract(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
  Returns `this` minus `m`.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Subtract `m` from this matrix.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute `this` minus `v`.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Returns `this` minus `m`.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Subtract `m` from this matrix.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Optimized method to subtract OpenMapRealVectors.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Subtract `v` from this vector.
subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns `this` minus `m`.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract `v` from this vector.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Optimized method to compute `this` minus `v`.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Compute `this` minus `v`.
subtract(double) - Method in interface org.apache.commons.math3.RealFieldElement
  '-' operator.
subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this - a.
subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this - a.
subtract(double) - Method in class org.apache.commons.math3.util.Decimal64
  '-' operator.
Sum - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
  Create a Sum instance
Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
  Copy constructor, creates a new `Sum` identical to the `original`
sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the values in the input array, or `Double.NaN` if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the natural logs of the entries in the input array, or `Double.NaN` if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the natural logs of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Computes summary statistics for a stream of data values added using the `addValue` method.
SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  A copy constructor.
SumOfClusterVariances<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
  Computes the sum of intra-cluster distance variances according to the formula:
SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Create a SumOfLogs instance
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Copy constructor, creates a new `SumOfLogs` identical to the `original`
SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Create a SumOfSquares instance
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Copy constructor, creates a new `SumOfSquares` identical to the `original`
sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the squares of the entries in the input array, or `Double.NaN` if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the squares of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
SupportBallGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
  Interface for generating balls based on support points.
SymmetricGaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
  This class's implements `integrate` method assuming that the integral is symmetric about 0.
SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
  Creates an integrator from the given `points` and `weights`.
SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
  Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
SymmLQ - Class in org.apache.commons.math3.linear
  Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
  Creates a new instance of this class, with default stopping criterion.
SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
  Creates a new instance of this class, with default stopping criterion and custom iteration manager.
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `DescriptiveStatistics` that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `MultivariateSummaryStatistics` that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
  Any `RandomGenerator` implementation can be thread-safe if it is used through an instance of this class.
SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Creates a synchronized wrapper for the given `RandomGenerator` instance.
SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `SummaryStatistics` that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  A copy constructor.

## T

t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a t statistic to use in comparing the mean of the dataset described by `sampleStats` to `mu`.
t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic , comparing the means of the datasets described by two `StatisticalSummary` instances, without the assumption of equal subpopulation variances.
t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 1-sample t-test.
t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 2-sample t-test.
tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Tangent operation.
tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute tangent of a derivative structure.
tan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Tangent operation.
Tan - Class in org.apache.commons.math3.analysis.function
  Tangent function.
Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan
tan() - Method in class org.apache.commons.math3.complex.Complex
  Compute the tangent of this complex number.
tan() - Method in class org.apache.commons.math3.dfp.Dfp
  Tangent operation.
tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the tangent of the argument.
tan() - Method in interface org.apache.commons.math3.RealFieldElement
  Tangent operation.
tan() - Method in class org.apache.commons.math3.util.Decimal64
  Tangent operation.
tan(double) - Static method in class org.apache.commons.math3.util.FastMath
  Tangent function.
tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic tangent operation.
tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic tangent of a derivative structure.
tanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Hyperbolic tangent operation.
Tanh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic tangent function.
Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh
tanh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic tangent of this complex number.
tanh() - Method in class org.apache.commons.math3.dfp.Dfp
  Hyperbolic tangent operation.
tanh() - Method in interface org.apache.commons.math3.RealFieldElement
  Hyperbolic tangent operation.
tanh() - Method in class org.apache.commons.math3.util.Decimal64
  Hyperbolic tangent operation.
tanh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic tangent of a number.
target(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the observed data.
target(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the observed data.
Target - Class in org.apache.commons.math3.optim.nonlinear.vector
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target
  Deprecated.
Target - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target
  Deprecated.
taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Evaluate Taylor expansion a derivative structure.
taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Evaluate Taylor expansion of a derivative structure.
taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Evaluate Taylor expansion of a sparse gradient.
TDistribution - Class in org.apache.commons.math3.distribution
  Implementation of Student's t-distribution.
TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Create a t distribution using the given degrees of freedom.
TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
TDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Creates a t distribution.
TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Creates a t distribution.
terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked after completion of the operations which occur after breaking out of the main iteration loop.
test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], int, int)` methods to verify that the input parameters designate a subarray of positive length.
test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], int, int)` methods to verify that the input parameters designate a subarray of positive length.
test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], double[], int, int)` methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], double[], int, int)` methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
TestUtils - Class in org.apache.commons.math3.stat.inference
  A collection of static methods to create inference test instances or to perform inference tests.
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "3/4".
ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
  Simple constructor.
TiesStrategy - Enum in org.apache.commons.math3.stat.ranking
  Strategies for handling tied values in rank transformations.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get the vector coordinates as a dimension 3 array.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the vector coordinates as a dimension 3 array.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the vector coordinates as a dimension 2 array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Convert the vector to an array of `double`s.
toArray() - Method in interface org.apache.commons.math3.linear.FieldVector
  Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Convert the vector to an array of `double`s.
toArray() - Method in class org.apache.commons.math3.linear.RealVector
  Convert the vector to an array of `double`s.
toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Convert the vector to a T array.
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Convert a data array from raw layout to blocks layout.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
  Convert a data array from raw layout to blocks layout.
toCartesianGradient(double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Convert a gradient with respect to spherical coordinates into a gradient with respect to Cartesian coordinates.
toCartesianHessian(double[][], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
  Convert a Hessian with respect to spherical coordinates into a Hessian with respect to Cartesian coordinates.
toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Convert radians to degrees, with error of less than 0.5 ULP
toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Convert radians to degrees, with error of less than 0.5 ULP
toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath
  Convert radians to degrees, with error of less than 0.5 ULP
toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateVectorFunction` interface itself is deprecated
toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableUnivariateFunction` interface itself is deprecated
toDouble() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert the instance into a double.
toList() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
  Gets a snapshot of the observed points.
toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
TooManyEvaluationsException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the maximal number of evaluations is exceeded.
TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyEvaluationsException
  Construct the exception.
TooManyIterationsException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the maximal number of iterations is exceeded.
TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyIterationsException
  Construct the exception.
toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Convert degrees to radians, with error of less than 0.5 ULP
toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
  Convert degrees to radians, with error of less than 0.5 ULP
toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath
  Convert degrees to radians, with error of less than 0.5 ULP
toRotation() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
  Convert to a constant vector without derivatives.
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a sub-space point into a space point.
toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a sub-space point into a space point.
toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform a sub-space point into a space point.
toSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform an in-plane point into a 3D space point.
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a sub-space point into a space point.
toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a sub-space point into a space point.
toSpace(Point<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
  Transform a sub-space point into a space point.
toSpace(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Transform a sub-space point into a space point.
toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert the instance into a split double.
toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns a string representation of the polynomial.
toString() - Method in class org.apache.commons.math3.complex.Complex
toString() - Method in class org.apache.commons.math3.complex.Quaternion
toString() - Method in class org.apache.commons.math3.dfp.Dfp
  Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
toString() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
toString() - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns the `String` representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.fraction.Fraction
  Returns the `String` representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair
toString() - Method in class org.apache.commons.math3.genetics.ListPopulation
toString() - Method in class org.apache.commons.math3.genetics.RandomKey
toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a string representation of this vector.
toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector
toString() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship
toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Deprecated.
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Deprecated.
toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Generates a text report displaying values of statistics.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.Frequency
  Return a string representation of this frequency distribution.
toString() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
toString() - Method in class org.apache.commons.math3.util.Decimal64
  The returned `String` is equal to `Double.toString(this.doubleValue())`
toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
toString() - Method in class org.apache.commons.math3.util.Pair
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a space point into a sub-space point.
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform a 3D space point into an in-plane point.
toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a space point into a sub-space point.
toSubSpace(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
  Transform a space point into a sub-space point.
toSubSpace(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Transform a space point into a sub-space point.
toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableUnivariateFunction` interface itself is deprecated
TournamentSelection - Class in org.apache.commons.math3.genetics
  Tournament selection scheme.
TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection
  Creates a new TournamentSelection instance.
toVector3D() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
  Convert to a constant vector without derivatives.
Transform<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents an inversible affine transform in a space.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified complex data set.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer
  Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap
  Attempts to transform the Object against the map of NumberTransformers.
TransformerMap - Class in org.apache.commons.math3.util
  This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap
  Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Set of NumberTransformers used as values in the map.
transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
  Computes the standard transform of the specified complex data.
TransformType - Enum in org.apache.commons.math3.transform
  This enumeration defines the type of transform which is to be computed.
TransformUtils - Class in org.apache.commons.math3.transform
  Useful functions for the implementation of various transforms.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Translate the plane by the specified amount.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Translate the region by the specified amount.
translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Translate the line to force it passing by a point.
transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the transpose of this matrix.
trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Trap handler.
TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Maximum number of iterations for trapezoid.
TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements the Trapezoid Rule for integration of real univariate functions.
TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Build a trapezoid integrator with given accuracies and iterations counts.
TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Build a trapezoid integrator with given iteration counts.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Construct a trapezoid integrator with default settings.
TriangularDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the triangular real distribution.
TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
  Creates a triangular real distribution using the given lower limit, upper limit, and mode.
TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
  Creates a triangular distribution.
TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
  F.
TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a tricubic interpolating function.
TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Computes the trigamma function of x.
trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback
  Function called when the maximal count has been reached.
TrivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a trivariate real function.
TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp
  Does the integer conversions with the specified rounding.
tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
TTest - Class in org.apache.commons.math3.stat.inference
  An implementation for Student's t-tests.
TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest
tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant `mu`.
tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which `sample` is drawn equals `mu`.
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by `sampleStats` with the constant `mu`.
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by `stats` is drawn equals `mu`.
tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`.
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sampleStats1` and `sampleStats2` describe datasets drawn from populations with the same mean, with significance level `alpha`.
tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 1-sample t-test.
tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 2-sample t-test.
TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2 / 1".
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/5".
TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils
  2 π.
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/4".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/3".

## U

Ulp - Class in org.apache.commons.math3.analysis.function
  `ulp` function.
Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp
ulp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute least significant bit (Unit in Last Position) for a number.
ulp(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute least significant bit (Unit in Last Position) for a number.
unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds
  Factory method that creates instance of this class that represents unbounded ranges.
UnboundedSolutionException - Exception in org.apache.commons.math3.optim.linear
  This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
  Simple constructor using a default message.
UnboundedSolutionException - Exception in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
  Deprecated.
  Simple constructor using a default message.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Maps an array from unbounded to bounded.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Map an array from unbounded to bounded.
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
  A `RandomVectorGenerator` that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Simple constructor.
unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is not equal to x.
uniform(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
  Uniform sampling of the given range.
uniform(double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
  Uniform sampling of the given range.
UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Uniform random deviates with mean = μ.
UniformCrossover<T> - Class in org.apache.commons.math3.genetics
  Perform Uniform Crossover [UX] on the specified chromosomes.
UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover
  Creates a new `UniformCrossover` policy using the given mixing ratio.
UniformIntegerDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the uniform integer distribution.
UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformRandomGenerator - Class in org.apache.commons.math3.random
  This class implements a normalized uniform random generator.
UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator
  Create a new generator.
UniformRealDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the uniform real distribution.
UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one.
UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Create a uniform real distribution using the given lower and upper bounds.
UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Deprecated.
  as of 3.2, inverse CDF is now calculated analytically, use `UniformRealDistribution.UniformRealDistribution(double, double)` instead.
UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Deprecated.
  as of 3.2, inverse CDF is now calculated analytically, use `UniformRealDistribution.UniformRealDistribution(RandomGenerator, double, double)` instead.
UniformRealDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Creates a uniform distribution.
union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the union of two regions.
unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math3.linear.RealVector
  Converts this vector into a unit vector.
UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random
  Generate random vectors isotropically located on the surface of a sphere.
UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  Create an object that will use a default RNG (`MersenneTwister`), in order to generate the individual components.
unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math3.linear.RealVector
  Creates a unit vector pointing in the direction of this vector.
UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp
  An interface representing a univariate `Dfp` function.
UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Interface for univariate functions derivatives.
UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `UnivariateMatrixFunction` representing a univariate differentiable matrix function.
UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) rootfinding algorithms.
UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `UnivariateVectorFunction` representing a univariate differentiable vectorial function.
UnivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate real function.
UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration
  Interface for univariate real integration algorithms.
UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a univariate real interpolating function.
UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate matrix function.
UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate
  Scalar function to be optimized.
UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
  Base class for a univariate scalar function optimizer.
UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Adapter for classes implementing the `UnivariateInterpolator` interface.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Builds an interpolator.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Builds an interpolator.
UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate
  This class holds a point and the value of an objective function at this point.
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Build a point/objective function value pair.
UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Build a point/objective function value pair.
UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) root-finding algorithms.
UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers
  Utility routines for `UnivariateSolver` objects.
UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
  Base interface implemented by all statistics.
UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate vectorial function.
UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnknownParameterException - Exception in org.apache.commons.math3.ode
  Exception to be thrown when a parameter is unknown.
UnknownParameterException(String) - Constructor for exception org.apache.commons.math3.ode.UnknownParameterException
  Construct an exception from the unknown parameter.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval
  Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter
  Factory method that creates instance of this class that represents a virtually unlimited number of iterations.
unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector
  Returns an unmodifiable view of the specified vector.
update(Network, double[]) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
  Updates the network in response to the sample `features`.
update(Network, double[]) - Method in interface org.apache.commons.math3.ml.neuralnet.UpdateAction
  Updates the network in response to the sample `features`.
UpdateAction - Interface in org.apache.commons.math3.ml.neuralnet
  Describes how to update the network in response to a training sample.
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Update the high order scaled derivatives Adams integrators (phase 2).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update the high order scaled derivatives Adams integrators (phase 2).
updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])` instead.
updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeResiduals(double[])`, `BaseAbstractMultivariateVectorOptimizer.computeObjectiveValue(double[])`, `AbstractLeastSquaresOptimizer.computeCost(double[])` and `AbstractLeastSquaresOptimizer.setCost(double)` instead.
UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
  An interface for regression models allowing for dynamic updating of the data.
upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For this distribution, `X`, this method returns `P(X >= x)`.
UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.

## V

v - Variable in class org.apache.commons.math3.random.AbstractWell
  Bytes pool.
validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Validates sample data.
value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
  Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
  Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
  Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
  Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  Compute the value for the function at the given point.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
  Simple mathematical function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
  Compute the value for the function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
  Computes the value of the Gaussian at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
  Computes the value of the harmonic oscillator at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
  Computes the value of the sigmoid at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
  Computes the value of the logit at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
  Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
  Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Power
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
  Computes the value of the sigmoid at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
  Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
  Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Compute the value for the function.
value(T) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
  Interpolate value at a specified abscissa.
value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Interpolate value at a specified abscissa.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Interpolate value at a specified abscissa.
value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Compute the value for the function.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
  Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
  Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
  Compute the value for the function at the given point.
value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Compute the value of the function for the given argument.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Calculate the function value at the given point.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Compute the value for the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Simple mathematical function.
value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
  Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
  Compute the value of the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
  Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
  Compute the value for the function.
value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
  Compute the value of the function.
value(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction
  Compute the function value and its Jacobian.
value() - Method in interface org.apache.commons.math3.ml.neuralnet.FeatureInitializer
  Selects the initial value.
value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction
  Computes the learning rate at the current call.
value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction
  Computes the neighbourhood size at the current call.
value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
  Computes `a e-numCall / b`.
value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
  Computes the value of the learning factor.
value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Computes the value of the linear equation at the current point.
value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Computes the value of the linear equation at the current point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Computes the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Compute the value for the function at the given point.
value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Get the value of current entry.
value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Get the value of current entry.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
  Returns the enum constant of this type with the specified name.
valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
  Create a complex number given only the real part.
valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.FilterType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.Position
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
  Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.events.FilterType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.GoalType
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.TransformType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.MathArrays.Position
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
  Returns an array containing the constants of this enum type, in the order they are declared.
ValueServer - Class in org.apache.commons.math3.random
  Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
  Creates new ValueServer
ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
  Deprecated.
  use `ValueServer.ValueServer(RandomGenerator)`
ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
  Construct a ValueServer instance using a RandomGenerator as its source of random data.
valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
  Returns an Iterator over the set of values that have been added.
Variance - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with default (true) `isBiasCorrected` property.
Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance based on an external second moment.
Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with the specified `isBiasCorrected` property
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with the specified `isBiasCorrected` property and the supplied external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Copy constructor, creates a new `Variance` identical to the `original`
variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the input array, or `Double.NaN` if the array is empty.
variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the input array, using the precomputed mean value.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed absolute vectorial error.
vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed relative vectorial error.
Vector<S extends Space> - Interface in org.apache.commons.math3.geometry
  This interface represents a generic vector in a vectorial space or a point in an affine space.
VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
  Key for the exception context.
Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D vector.
Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Simple constructor.
Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
  Formats a 1D vector in components list format "{x}".
Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with default settings.
Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with a custom number format for components.
Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with custom prefix, suffix and separator.
Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a 2D vector.
Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Simple constructor.
Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Simple constructor.
Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
  Formats a 2D vector in components list format "{x; y}".
Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with default settings.
Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with a custom number format for components.
Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with custom prefix, suffix and separator.
Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements vectors in a three-dimensional space.
Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
  Formats a 3D vector in components list format "{x; y; z}".
Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with default settings.
Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with a custom number format for components.
Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with custom prefix, suffix and separator.
Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry
  Formats a vector in components list format "{x; y; ...}".
VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with default settings.
VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with a custom number format for components.
VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with custom prefix, suffix and separator.
VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with custom prefix, suffix, separator and format for components.
VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Constructs a VectorialMean.
verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that the endpoints specify an interval and the end points bracket a root.
verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Verifies that the input arrays are valid.
verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Check that the interpolation arrays are valid.
verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that the endpoints specify an interval.
verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that the endpoints specify an interval.
verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that `lower < initial < upper`.
verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that `lower < initial < upper`.
verifyValues(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
  This method is used to verify that the input parameters designate a subarray of positive length.
verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  This method is used to verify that the input parameters designate a subarray of positive length.
verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
  This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
Vertex - Class in org.apache.commons.math3.geometry.spherical.twod
  Spherical polygons boundary vertex.
visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Visit the BSP tree nodes.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
  Visit one entry of the vector.
visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
  Visit one entry of the vector.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  Visit one entry of the vector.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  Visit one entry of the vector.
visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Determine the visit order for this node.

## W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries in row order.
WeibullDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Weibull distribution.
WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Create a Weibull distribution with the given shape and scale and a location equal to zero.
WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
WeibullDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Creates a Weibull distribution.
WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Creates a Weibull distribution.
weight(RealMatrix) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
  Configure the weight matrix.
Weight - Class in org.apache.commons.math3.optim.nonlinear.vector
  Deprecated.
  All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the `org.apache.commons.math3.fitting.leastsquares` package (cf. MATH-1008).
Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Deprecated.
  Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Deprecated.
Weight - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight
  Deprecated.
  Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight
  Deprecated.
weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Apply a diagonal weight matrix to the `LeastSquaresProblem`.
WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive
  Weighted evaluation for statistics.
WeightedObservedPoint - Class in org.apache.commons.math3.fitting
  This class is a simple container for weighted observed point in `curve fitting`.
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint
  Simple constructor.
WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Simple constructor.
WeightedObservedPoints - Class in org.apache.commons.math3.fitting
  Simple container for weighted observed points used in `curve fitting` algorithms.
WeightedObservedPoints() - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoints
weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. To be removed in 4.0. Please use `AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])` instead.
weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
  Apply a dense weight matrix to the `LeastSquaresProblem`.
Well1024a - Class in org.apache.commons.math3.random
  This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator.
Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using a single int seed.
Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using an int array seed.
Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using a single long seed.
Well19937a - Class in org.apache.commons.math3.random
  This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator.
Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using a single int seed.
Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using an int array seed.
Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using a single long seed.
Well19937c - Class in org.apache.commons.math3.random
  This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator.
Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using a single int seed.
Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using an int array seed.
Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using a single long seed.
Well44497a - Class in org.apache.commons.math3.random
  This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator.
Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using a single int seed.
Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using an int array seed.
Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using a single long seed.
Well44497b - Class in org.apache.commons.math3.random
  This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator.
Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using a single int seed.
Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using an int array seed.
Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using a single long seed.
Well512a - Class in org.apache.commons.math3.random
  This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well512a() - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator.
Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using a single int seed.
Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using an int array seed.
Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using a single long seed.
WelzlEncloser<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
  Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time.
WelzlEncloser(double, SupportBallGenerator<S, P>) - Constructor for class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
  Simple constructor.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a sub-hyperplane covering the whole hyperplane.
wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Build a sub-hyperplane covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Build a sub-hyperplane covering the whole hyperplane.
wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Build a sub-line covering the whole line.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a region covering the whole space.
wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
  Build a region covering the whole space.
wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference
  An implementation of the Wilcoxon signed-rank test.
WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Create a test instance using the given strategies for NaN's and ties.
wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilsonScoreInterval - Class in org.apache.commons.math3.stat.interval
  Implements the Wilson score method for creating a binomial proportion confidence interval.
WilsonScoreInterval() - Constructor for class org.apache.commons.math3.stat.interval.WilsonScoreInterval
windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  hold the window size
withCostRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
  Configure the decomposition algorithm.
withInitialStepBoundFactor(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
  Configure the maximum number of iterations.
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
  Configure the maximum number of iterations.
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
  Configure the maximum number of iterations.
withOrthoTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
  Modifies the given parameter.
withParameterRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
withRankingThreshold(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
  Configure the start point (initial guess).
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
  Configure the start point (initial guess).
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
  Configure the start point (initial guess).
writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Save the base state of the instance.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator

## X

xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the symmetric difference (exclusive or) of two regions.
XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.

## Y

YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.

## Z

ZERO - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "0.0 + 0.0i"
ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion
  Zero quaternion.
ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Origin (coordinates: 0).
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Null vector (coordinates: 0, 0, 0).
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Origin (coordinates: 0, 0).
ZERO - Static variable in class org.apache.commons.math3.util.BigReal
  A big real representing 0.
ZERO - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `0d` as a `Decimal64`.
ZeroException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when zero is provided where it is not allowed.
ZeroException() - Constructor for exception org.apache.commons.math3.exception.ZeroException
  Construct the exception.
ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ZeroException
  Construct the exception with a specific context.
ZipfDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Zipf distribution.
ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
  Create a new Zipf distribution with the given number of elements and exponent.
ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
  Creates a Zipf distribution.
ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.

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