Uses of Class org.apache.commons.math3.exception.NumberIsTooLargeException (Apache Commons Math 3.3 API)

## Uses of Class
org.apache.commons.math3.exception.NumberIsTooLargeException

- Packages that use NumberIsTooLargeException
  Package | Description
  --- | ---
  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 | This package holds the main interfaces and basic building block classes dealing with differentiation.
  org.apache.commons.math3.analysis.integration | Numerical integration (quadrature) algorithms for univariate real functions.
  org.apache.commons.math3.analysis.solvers | Root finding algorithms, for univariate real functions.
  org.apache.commons.math3.distribution | Implementations of common discrete and continuous distributions.
  org.apache.commons.math3.genetics | This package provides Genetic Algorithms components and implementations.
  org.apache.commons.math3.geometry.spherical.oned | This package provides basic geometry components on the 1-sphere.
  org.apache.commons.math3.linear | Linear algebra support.
  org.apache.commons.math3.random | Random number and random data generators.
  org.apache.commons.math3.special | Implementations of special functions such as Beta and Gamma.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing.
  org.apache.commons.math3.stat.interval | Classes providing binomial proportion confidence interval construction.
  org.apache.commons.math3.util | Convenience routines and common data structures used throughout the commons-math library.

- - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.analysis

    Methods in org.apache.commons.math3.analysis that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `static double[]` | FunctionUtils.`sample(UnivariateFunction f, double min, double max, int n)` Samples the specified univariate real function on the specified interval.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.analysis.differentiation

    Methods in org.apache.commons.math3.analysis.differentiation that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `static DSCompiler` | DSCompiler.`getCompiler(int parameters, int order)` Get the compiler for number of free parameters and order.
    `double` | DerivativeStructure.`getPartialDerivative(int... orders)` Get a partial derivative.
    `int` | DSCompiler.`getPartialDerivativeIndex(int... orders)` Get the index of a partial derivative in the array.

    Constructors in org.apache.commons.math3.analysis.differentiation that throw NumberIsTooLargeException
    Constructor and Description
    `DerivativeStructure(int parameters, int order)` Build an instance with all values and derivatives set to 0.
    `DerivativeStructure(int parameters, int order, double... derivatives)` Build an instance from all its derivatives.
    `DerivativeStructure(int parameters, int order, double value)` Build an instance representing a constant value.
    `DerivativeStructure(int parameters, int order, int index, double value)` Build an instance representing a variable.
    `FiniteDifferencesDifferentiator(int nbPoints, double stepSize, double tLower, double tUpper)` Build a differentiator with number of points and step size when independent variable is bounded.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.analysis.integration

    Constructors in org.apache.commons.math3.analysis.integration that throw NumberIsTooLargeException
    Constructor and Description
    `MidPointIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a midpoint integrator with given accuracies and iterations counts.
    `MidPointIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a midpoint integrator with given iteration counts.
    `RombergIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a Romberg integrator with given accuracies and iterations counts.
    `RombergIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a Romberg integrator with given iteration counts.
    `SimpsonIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a Simpson integrator with given accuracies and iterations counts.
    `SimpsonIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a Simpson integrator with given iteration counts.
    `TrapezoidIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a trapezoid integrator with given accuracies and iterations counts.
    `TrapezoidIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a trapezoid integrator with given iteration counts.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.analysis.solvers

    Methods in org.apache.commons.math3.analysis.solvers that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | MullerSolver2.`doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `protected double` | MullerSolver.`doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `double` | LaguerreSolver.`doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `protected double` | BrentSolver.`doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `protected double` | BracketingNthOrderBrentSolver.`doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `double` | BracketingNthOrderBrentSolver.`solve(int maxEval, UnivariateFunction f, double min, double max, AllowedSolution allowedSolution)` Solve for a zero in the given interval.
    `double` | BracketingNthOrderBrentSolver.`solve(int maxEval, UnivariateFunction f, double min, double max, double startValue, AllowedSolution allowedSolution)` Solve for a zero in the given interval, start at `startValue`.
    `protected void` | BaseAbstractUnivariateSolver.`verifyInterval(double lower, double upper)` Check that the endpoints specify an interval.
    `static void` | UnivariateSolverUtils.`verifyInterval(double lower, double upper)` Check that the endpoints specify an interval.
    `protected void` | BaseAbstractUnivariateSolver.`verifySequence(double lower, double initial, double upper)` Check that `lower < initial < upper`.
    `static void` | UnivariateSolverUtils.`verifySequence(double lower, double initial, double upper)` Check that `lower < initial < upper`.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.distribution

    Methods in org.apache.commons.math3.distribution that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `double` | LogNormalDistribution.`cumulativeProbability(double x0, double x1)` Deprecated. See `RealDistribution.cumulativeProbability(double,double)`
    `double` | ParetoDistribution.`cumulativeProbability(double x0, double x1)` Deprecated. See `RealDistribution.cumulativeProbability(double,double)`
    `double` | RealDistribution.`cumulativeProbability(double x0, double x1)` Deprecated. As of 3.1. In 4.0, this method will be renamed `probability(double x0, double x1)`.
    `double` | NormalDistribution.`cumulativeProbability(double x0, double x1)` Deprecated. See `RealDistribution.cumulativeProbability(double,double)`
    `double` | AbstractRealDistribution.`cumulativeProbability(double x0, double x1)` Deprecated. As of 3.1 (to be removed in 4.0). Please use `AbstractRealDistribution.probability(double,double)` instead.
    `double` | IntegerDistribution.`cumulativeProbability(int x0, int x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | AbstractIntegerDistribution.`cumulativeProbability(int x0, int x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | LogNormalDistribution.`probability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | NormalDistribution.`probability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.

    Constructors in org.apache.commons.math3.distribution that throw NumberIsTooLargeException
    Constructor and Description
    `HypergeometricDistribution(int populationSize, int numberOfSuccesses, int sampleSize)` Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
    `HypergeometricDistribution(RandomGenerator rng, int populationSize, int numberOfSuccesses, int sampleSize)` Creates a new hypergeometric distribution.
    `TriangularDistribution(double a, double c, double b)` Creates a triangular real distribution using the given lower limit, upper limit, and mode.
    `TriangularDistribution(RandomGenerator rng, double a, double c, double b)` Creates a triangular distribution.
    `UniformIntegerDistribution(int lower, int upper)` Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
    `UniformIntegerDistribution(RandomGenerator rng, int lower, int upper)` Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
    `UniformRealDistribution(double lower, double upper)` Create a uniform real distribution using the given lower and upper bounds.
    `UniformRealDistribution(double lower, double upper, double inverseCumAccuracy)` Deprecated. as of 3.2, inverse CDF is now calculated analytically, use `UniformRealDistribution.UniformRealDistribution(double, double)` instead.
    `UniformRealDistribution(RandomGenerator rng, double lower, double upper)` Creates a uniform distribution.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.genetics

    Methods in org.apache.commons.math3.genetics that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `void` | Population.`addChromosome(Chromosome chromosome)` Add the given chromosome to the population.
    `void` | ListPopulation.`addChromosome(Chromosome chromosome)` Add the given chromosome to the population.
    `void` | ListPopulation.`addChromosomes(Collection<Chromosome> chromosomeColl)` Add a `Collection` of chromosomes to this `Population`.
    `void` | ListPopulation.`setChromosomes(List<Chromosome> chromosomes)` Deprecated. use `ListPopulation.addChromosomes(Collection)` instead

    Constructors in org.apache.commons.math3.genetics that throw NumberIsTooLargeException
    Constructor and Description
    `ElitisticListPopulation(List<Chromosome> chromosomes, int populationLimit, double elitismRate)` Creates a new `ElitisticListPopulation` instance.
    `ListPopulation(List<Chromosome> chromosomes, int populationLimit)` Creates a new ListPopulation instance.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.geometry.spherical.oned

    Constructors in org.apache.commons.math3.geometry.spherical.oned that throw NumberIsTooLargeException
    Constructor and Description
    `Arc(double lower, double upper, double tolerance)` Simple constructor.
    `ArcsSet(double lower, double upper, double tolerance)` Build an arcs set corresponding to a single arc.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.linear

    Methods in org.apache.commons.math3.linear that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `void` | DiagonalMatrix.`addToEntry(int row, int column, double increment)` Adds (in place) the specified value to the specified entry of `this` matrix.
    `OpenMapRealMatrix` | OpenMapRealMatrix.`createMatrix(int rowDimension, int columnDimension)` Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    `OpenMapRealMatrix` | OpenMapRealMatrix.`multiply(OpenMapRealMatrix m)` Postmultiply this matrix by `m`.
    `RealMatrix` | OpenMapRealMatrix.`multiply(RealMatrix m)` Returns the result of postmultiplying `this` by `m`.
    `void` | DiagonalMatrix.`setEntry(int row, int column, double value)` Set the entry in the specified row and column.

    Constructors in org.apache.commons.math3.linear that throw NumberIsTooLargeException
    Constructor and Description
    `ArrayFieldVector(Field<T> field, T[] d, int pos, int size)` Construct a vector from part of a array.
    `ArrayFieldVector(T[] d, int pos, int size)` Construct a vector from part of a array.
    `ArrayRealVector(double[] d, int pos, int size)` Construct a vector from part of a array.
    `ArrayRealVector(Double[] d, int pos, int size)` Construct a vector from part of an array.
    `OpenMapRealMatrix(int rowDimension, int columnDimension)` Build a sparse matrix with the supplied row and column dimensions.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.random

    Methods in org.apache.commons.math3.random that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `int` | RandomDataImpl.`nextHypergeometric(int populationSize, int numberOfSuccesses, int sampleSize)` Deprecated. Generates a random value from the `Hypergeometric Distribution`.
    `int` | RandomDataGenerator.`nextHypergeometric(int populationSize, int numberOfSuccesses, int sampleSize)` Generates a random value from the `Hypergeometric Distribution`.
    `int` | RandomData.`nextInt(int lower, int upper)` Deprecated. Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
    `int` | RandomDataImpl.`nextInt(int lower, int upper)` Deprecated. Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
    `int` | RandomDataGenerator.`nextInt(int lower, int upper)` Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
    `long` | RandomData.`nextLong(long lower, long upper)` Deprecated. Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
    `long` | RandomDataImpl.`nextLong(long lower, long upper)` Deprecated. Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
    `long` | RandomDataGenerator.`nextLong(long lower, long upper)` Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
    `int[]` | RandomData.`nextPermutation(int n, int k)` Deprecated. Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
    `int[]` | RandomDataImpl.`nextPermutation(int n, int k)` Deprecated. Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
    `int[]` | RandomDataGenerator.`nextPermutation(int n, int k)` Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
    `Object[]` | RandomData.`nextSample(Collection<?> c, int k)` Deprecated. Returns an array of `k` objects selected randomly from the Collection `c`.
    `Object[]` | RandomDataImpl.`nextSample(Collection<?> c, int k)` Deprecated. Returns an array of `k` objects selected randomly from the Collection `c`.
    `Object[]` | RandomDataGenerator.`nextSample(Collection<?> c, int k)` Returns an array of `k` objects selected randomly from the Collection `c`.
    `int` | RandomData.`nextSecureInt(int lower, int upper)` Deprecated. Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `int` | RandomDataImpl.`nextSecureInt(int lower, int upper)` Deprecated. Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `int` | RandomDataGenerator.`nextSecureInt(int lower, int upper)` Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `long` | RandomData.`nextSecureLong(long lower, long upper)` Deprecated. Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `long` | RandomDataImpl.`nextSecureLong(long lower, long upper)` Deprecated. Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `long` | RandomDataGenerator.`nextSecureLong(long lower, long upper)` Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
    `double` | RandomData.`nextUniform(double lower, double upper)` Deprecated. Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
    `double` | RandomDataImpl.`nextUniform(double lower, double upper)` Deprecated. Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
    `double` | RandomDataGenerator.`nextUniform(double lower, double upper)` Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
    `double` | RandomData.`nextUniform(double lower, double upper, boolean lowerInclusive)` Deprecated. Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
    `double` | RandomDataImpl.`nextUniform(double lower, double upper, boolean lowerInclusive)` Deprecated. Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
    `double` | RandomDataGenerator.`nextUniform(double lower, double upper, boolean lowerInclusive)` Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.special

    Methods in org.apache.commons.math3.special that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `static double` | Gamma.`logGamma1p(double x)` Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.stat.inference

    Methods in org.apache.commons.math3.stat.inference that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `double` | WilcoxonSignedRankTest.`wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)` 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.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.stat.interval

    Methods in org.apache.commons.math3.stat.interval that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `ConfidenceInterval` | BinomialConfidenceInterval.`createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)` 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.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.util

    Methods in org.apache.commons.math3.util that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `static long` | CombinatoricsUtils.`binomialCoefficient(int n, int k)` 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.
    `static long` | ArithmeticUtils.`binomialCoefficient(int n, int k)` Deprecated. use `CombinatoricsUtils.binomialCoefficient(int, int)`
    `static double` | CombinatoricsUtils.`binomialCoefficientDouble(int n, int k)` 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.
    `static double` | ArithmeticUtils.`binomialCoefficientDouble(int n, int k)` Deprecated. use `CombinatoricsUtils.binomialCoefficientDouble(int, int)`
    `static double` | CombinatoricsUtils.`binomialCoefficientLog(int n, int k)` 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.
    `static double` | ArithmeticUtils.`binomialCoefficientLog(int n, int k)` Deprecated. use `CombinatoricsUtils.binomialCoefficientLog(int, int)`
    `static void` | CombinatoricsUtils.`checkBinomial(int n, int k)` Check binomial preconditions.
    `static long` | CombinatoricsUtils.`stirlingS2(int n, int k)` 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.
    `static long` | ArithmeticUtils.`stirlingS2(int n, int k)` Deprecated. use `CombinatoricsUtils.stirlingS2(int, int)`

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