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

- Packages that use PointValuePair
  Package | Description
  --- | ---
  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 | Optimization algorithms for linear constrained problems.
  org.apache.commons.math3.optim.nonlinear.scalar | Algorithms for optimizing a scalar function.
  org.apache.commons.math3.optim.nonlinear.scalar.gradient | This package provides optimization algorithms that require derivatives.
  org.apache.commons.math3.optim.nonlinear.scalar.noderiv | This package provides optimization algorithms that do not require derivatives.

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

    Methods in org.apache.commons.math3.optim 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.optim.linear

    Methods in org.apache.commons.math3.optim.linear that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `PointValuePair` | SimplexSolver.`doOptimize()` Performs the bulk of the optimization algorithm.
    `PointValuePair` | SolutionCallback.`getSolution()` Retrieve the best solution found so far.
    `PointValuePair` | SimplexSolver.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `PointValuePair` | LinearOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.

  - ### Uses of PointValuePair in org.apache.commons.math3.optim.nonlinear.scalar

    Methods in org.apache.commons.math3.optim.nonlinear.scalar that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `PointValuePair[]` | MultiStartMultivariateOptimizer.`getOptima()` Gets all the optima found during the last call to `optimize`.
    `PointValuePair` | GradientMultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `PointValuePair` | MultivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.

    Methods in org.apache.commons.math3.optim.nonlinear.scalar with parameters of type PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected void` | MultiStartMultivariateOptimizer.`store(PointValuePair optimum)` Method that will be called in order to store each found optimum.

    Constructor parameters in org.apache.commons.math3.optim.nonlinear.scalar with type arguments of type PointValuePair
    Constructor and Description
    `GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)`
    `MultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)`

  - ### Uses of PointValuePair in org.apache.commons.math3.optim.nonlinear.scalar.gradient

    Methods in org.apache.commons.math3.optim.nonlinear.scalar.gradient that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected PointValuePair` | NonLinearConjugateGradientOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `PointValuePair` | NonLinearConjugateGradientOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.

    Constructor parameters in org.apache.commons.math3.optim.nonlinear.scalar.gradient with type arguments of type PointValuePair
    Constructor and Description
    `NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker)` Constructor with default tolerances for the line search (1e-8) and `preconditioner`.
    `NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, double relativeTolerance, double absoluteTolerance, double initialBracketingRange)` Constructor with default `preconditioner`.
    `NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, double relativeTolerance, double absoluteTolerance, double initialBracketingRange, Preconditioner preconditioner)`
    `NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver)` Deprecated. as of 3.3. Please use `NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double)` instead.
    `NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver, Preconditioner preconditioner)` Deprecated. as of 3.3. Please use `NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double,Preconditioner)` instead.

  - ### Uses of PointValuePair in org.apache.commons.math3.optim.nonlinear.scalar.noderiv

    Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv that return PointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected PointValuePair` | SimplexOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `protected PointValuePair` | BOBYQAOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `protected PointValuePair` | PowellOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `protected PointValuePair` | CMAESOptimizer.`doOptimize()` Performs 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` | SimplexOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `PointValuePair` | CMAESOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.

    Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv 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.optim.nonlinear.scalar.noderiv 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.
    `void` | MultiDirectionalSimplex.`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.
    `abstract void` | AbstractSimplex.`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.optim.nonlinear.scalar.noderiv with type arguments of type PointValuePair
    Constructor and Description
    `CMAESOptimizer(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.
    `PowellOptimizer(double rel, double abs, double lineRel, double lineAbs, 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)`

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