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

Packages that use PointValuePair

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

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

PointValuePair	SimplexSolver.doOptimize() Performs the bulk of the optimization algorithm.
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

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

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

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

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

NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker)
Constructor with default line search solver and preconditioner.

NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver)
Constructor with default preconditioner.

NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver, Preconditioner preconditioner)

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

protected PointValuePair	CMAESOptimizer.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	SimplexOptimizer.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	CMAESOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PointValuePair	SimplexOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv with parameters of type PointValuePair

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

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.optim.nonlinear.scalar.noderiv with type arguments of type PointValuePair

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)