## Uses of Class
org.apache.commons.math3.optimization.PointValuePair

- Packages that use PointValuePair
  Package | Description
  --- | ---
  org.apache.commons.math3.optimization | This package provides common interfaces for the optimization algorithms provided in sub-packages.
  org.apache.commons.math3.optimization.direct | This package provides optimization algorithms that don't require derivatives.
  org.apache.commons.math3.optimization.general | This package provides optimization algorithms that require derivatives.
  org.apache.commons.math3.optimization.linear | This package provides optimization algorithms for linear constrained problems.

- - ### Uses of PointValuePair in org.apache.commons.math3.optimization

    Methods in org.apache.commons.math3.optimization that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `PointValuePair[]` | BaseMultivariateMultiStartOptimizer.`getOptima()` Get all the optima found during the last call to `optimize`.
    `PointValuePair` | BaseMultivariateOptimizer.`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Optimize an objective function.
    `PointValuePair` | BaseMultivariateMultiStartOptimizer.`optimize(int maxEval, FUNC f, GoalType goal, double[] startPoint)` Optimize an objective function.
    `PointValuePair` | BaseMultivariateSimpleBoundsOptimizer.`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint, double[] lowerBound, double[] upperBound)` Optimize an objective function.

    Methods in org.apache.commons.math3.optimization that return types with arguments of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `ConvergenceChecker<PointValuePair>` | BaseMultivariateMultiStartOptimizer.`getConvergenceChecker()` Get the convergence checker.

    Methods in org.apache.commons.math3.optimization with parameters of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | SimpleValueChecker.`converged(int iteration, PointValuePair previous, PointValuePair current)` Check if the optimization algorithm has converged considering the last two points.

  - ### Uses of PointValuePair in org.apache.commons.math3.optimization.direct

    Methods in org.apache.commons.math3.optimization.direct that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected PointValuePair` | SimplexOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `protected PointValuePair` | PowellOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `protected PointValuePair` | BOBYQAOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `protected PointValuePair` | CMAESOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `protected abstract PointValuePair` | BaseAbstractMultivariateOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `PointValuePair` | AbstractSimplex.`getPoint(int index)` Get the simplex point stored at the requested `index`.
    `PointValuePair[]` | AbstractSimplex.`getPoints()` Get the points of the simplex.
    `PointValuePair` | BaseAbstractMultivariateSimpleBoundsOptimizer.`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Optimize an objective function.
    `PointValuePair` | BaseAbstractMultivariateOptimizer.`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Optimize an objective function.
    `PointValuePair` | BaseAbstractMultivariateSimpleBoundsOptimizer.`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint, double[] lower, double[] upper)` Optimize an objective function.

    Methods in org.apache.commons.math3.optimization.direct that return types with arguments of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `ConvergenceChecker<PointValuePair>` | BaseAbstractMultivariateOptimizer.`getConvergenceChecker()` Get the convergence checker.

    Methods in org.apache.commons.math3.optimization.direct with parameters of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected void` | AbstractSimplex.`replaceWorstPoint(PointValuePair pointValuePair, Comparator<PointValuePair> comparator)` Replace the worst point of the simplex by a new point.
    `protected void` | AbstractSimplex.`setPoint(int index, PointValuePair point)` Store a new point at location `index`.
    `protected void` | AbstractSimplex.`setPoints(PointValuePair[] points)` Replace all points.

    Method parameters in org.apache.commons.math3.optimization.direct with type arguments of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `void` | AbstractSimplex.`evaluate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)` Evaluate all the non-evaluated points of the simplex.
    `abstract void` | AbstractSimplex.`iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)` Compute the next simplex of the algorithm.
    `void` | NelderMeadSimplex.`iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)` Compute the next simplex of the algorithm.
    `void` | MultiDirectionalSimplex.`iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)` Compute the next simplex of the algorithm.
    `protected void` | AbstractSimplex.`replaceWorstPoint(PointValuePair pointValuePair, Comparator<PointValuePair> comparator)` Replace the worst point of the simplex by a new point.

    Constructor parameters in org.apache.commons.math3.optimization.direct with type arguments of type PointValuePair
    Constructor and Description
    `BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)`
    `BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair> checker)`
    `CMAESOptimizer(int lambda, double[] inputSigma, int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics, ConvergenceChecker<PointValuePair> checker)`
    `PowellOptimizer(double rel, double abs, ConvergenceChecker<PointValuePair> checker)` 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.
    `SimplexOptimizer(ConvergenceChecker<PointValuePair> checker)`

  - ### Uses of PointValuePair in org.apache.commons.math3.optimization.general

    Methods in org.apache.commons.math3.optimization.general that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected PointValuePair` | NonLinearConjugateGradientOptimizer.`doOptimize()` Perform the bulk of the optimization algorithm.
    `PointValuePair` | AbstractScalarDifferentiableOptimizer.`optimize(int maxEval, DifferentiableMultivariateFunction f, GoalType goalType, double[] startPoint)` Optimize an objective function.

    Constructor parameters in org.apache.commons.math3.optimization.general with type arguments of type PointValuePair
    Constructor and Description
    `AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)`
    `NonLinearConjugateGradientOptimizer(ConjugateGradientFormula updateFormula, ConvergenceChecker<PointValuePair> checker)` Constructor with default `line search solver` and `preconditioner`.
    `NonLinearConjugateGradientOptimizer(ConjugateGradientFormula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver)` Constructor with default `preconditioner`.
    `NonLinearConjugateGradientOptimizer(ConjugateGradientFormula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver, Preconditioner preconditioner)`

  - ### Uses of PointValuePair in org.apache.commons.math3.optimization.linear

    Methods in org.apache.commons.math3.optimization.linear that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `PointValuePair` | SimplexSolver.`doOptimize()` Perform the bulk of optimization algorithm.
    `protected abstract PointValuePair` | AbstractLinearOptimizer.`doOptimize()` Perform the bulk of optimization algorithm.
    `PointValuePair` | AbstractLinearOptimizer.`optimize(LinearObjectiveFunction f, Collection<LinearConstraint> constraints, GoalType goalType, boolean restrictToNonNegative)` Optimizes an objective function.
    `PointValuePair` | LinearOptimizer.`optimize(LinearObjectiveFunction f, Collection<LinearConstraint> constraints, GoalType goalType, boolean restrictToNonNegative)` Optimizes an objective function.

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