Uses of Class
org.apache.commons.math4.legacy.optim.PointValuePair

Packages that use PointValuePair

Package	Description
org.apache.commons.math4.legacy.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.apache.commons.math4.legacy.optim.linear	Optimization algorithms for linear constrained problems.
org.apache.commons.math4.legacy.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient	This package provides optimization algorithms that require derivatives.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.

Uses of PointValuePair in org.apache.commons.math4.legacy.optim

Methods in org.apache.commons.math4.legacy.optim with parameters of type PointValuePair

Modifier and Type	Method	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.math4.legacy.optim.linear

Methods in org.apache.commons.math4.legacy.optim.linear that return PointValuePair

Modifier and Type	Method	Description
PointValuePair	SimplexSolver.doOptimize()	Performs the bulk of the optimization algorithm.
PointValuePair	SolutionCallback.getSolution()	Retrieve the best solution found so far.
PointValuePair	LinearOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.
PointValuePair	SimplexSolver.optimize(OptimizationData... optData)	Stores data and performs the optimization.

Uses of PointValuePair in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar that return PointValuePair

Modifier and Type	Method	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.math4.legacy.optim.nonlinear.scalar with parameters of type PointValuePair

Modifier and Type	Method	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.math4.legacy.optim.nonlinear.scalar with type arguments of type PointValuePair

Constructor	Description
GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)
MultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)

Uses of PointValuePair in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient that return PointValuePair

Modifier and Type	Method	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.math4.legacy.optim.nonlinear.scalar.gradient with type arguments of type PointValuePair

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

Uses of PointValuePair in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv that return PointValuePair

Modifier and Type	Method	Description
protected PointValuePair	BOBYQAOptimizer.doOptimize()	Performs the bulk of the optimization algorithm.
protected PointValuePair	CMAESOptimizer.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	Simplex.get(int index)	Retrieves a copy of the simplex point stored at index.
PointValuePair	CMAESOptimizer.optimize(OptimizationData... optData)	Stores data and performs the optimization.

Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv that return types with arguments of type PointValuePair

Modifier and Type	Method	Description
List<PointValuePair>	Simplex.asList()	Creates a (deep) copy of the simplex points.

Method parameters in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv with type arguments of type PointValuePair

Modifier and Type	Method	Description
UnaryOperator<Simplex>	HedarFukushimaTransform.create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate saAcceptance)	Creates a simplex transformation.
UnaryOperator<Simplex>	MultiDirectionalTransform.create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate sa)	Creates a simplex transformation.
UnaryOperator<Simplex>	NelderMeadTransform.create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate sa)	Creates a simplex transformation.
UnaryOperator<Simplex>	Simplex.TransformFactory.create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate saAcceptance)	Creates a simplex transformation.
Simplex	Simplex.evaluate(MultivariateFunction function, Comparator<PointValuePair> comparator)	Evaluates the (non-evaluated) simplex points and returns a new instance with vertices sorted from best to worst.

Constructor parameters in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv with type arguments of type PointValuePair

Constructor	Description
CMAESOptimizer(int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, org.apache.commons.rng.UniformRandomProvider rng, boolean generateStatistics, ConvergenceChecker<PointValuePair> checker)
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.
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.
SimplexOptimizer(ConvergenceChecker<PointValuePair> checker)