Uses of Class
org.apache.commons.math.optimization.RealPointValuePair

Packages that use RealPointValuePair

org.apache.commons.math.optimization	This package provides common interfaces for the optimization algorithms provided in sub-packages.
org.apache.commons.math.optimization.direct	This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math.optimization.general	This package provides optimization algorithms that require derivatives.
org.apache.commons.math.optimization.linear	This package provides optimization algorithms for linear constrained problems.

Uses of RealPointValuePair in org.apache.commons.math.optimization

Methods in org.apache.commons.math.optimization that return RealPointValuePair

RealPointValuePair[]	BaseMultiStartMultivariateRealOptimizer.getOptima() Get all the optima found during the last call to optimize.
RealPointValuePair	BaseMultivariateRealOptimizer.optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint) Optimize an objective function.
RealPointValuePair	BaseMultiStartMultivariateRealOptimizer.optimize(int maxEval, FUNC f, GoalType goal, double[] startPoint) Optimize an objective function.

Methods in org.apache.commons.math.optimization that return types with arguments of type RealPointValuePair

ConvergenceChecker<RealPointValuePair>

BaseMultiStartMultivariateRealOptimizer.getConvergenceChecker() Get the convergence checker.

Methods in org.apache.commons.math.optimization with parameters of type RealPointValuePair

boolean	SimpleScalarValueChecker.converged(int iteration, RealPointValuePair previous, RealPointValuePair current) Check if the optimization algorithm has converged considering the last two points.
boolean	SimpleRealPointChecker.converged(int iteration, RealPointValuePair previous, RealPointValuePair current) Check if the optimization algorithm has converged considering the last two points.

Method parameters in org.apache.commons.math.optimization with type arguments of type RealPointValuePair

void	BaseMultiStartMultivariateRealOptimizer.setConvergenceChecker(ConvergenceChecker<RealPointValuePair> checker) Set the convergence checker.

Uses of RealPointValuePair in org.apache.commons.math.optimization.direct

Methods in org.apache.commons.math.optimization.direct that return RealPointValuePair

protected RealPointValuePair	SimplexOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
protected RealPointValuePair	PowellOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
protected RealPointValuePair	CMAESOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
protected RealPointValuePair	BOBYQAOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
protected abstract RealPointValuePair	BaseAbstractScalarOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
RealPointValuePair	AbstractSimplex.getPoint(int index) Get the simplex point stored at the requested index.
RealPointValuePair[]	AbstractSimplex.getPoints() Get the points of the simplex.
RealPointValuePair	BaseAbstractScalarOptimizer.optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint) Optimize an objective function.

Methods in org.apache.commons.math.optimization.direct that return types with arguments of type RealPointValuePair

ConvergenceChecker<RealPointValuePair>

BaseAbstractScalarOptimizer.getConvergenceChecker() Get the convergence checker.

Methods in org.apache.commons.math.optimization.direct with parameters of type RealPointValuePair

protected void	AbstractSimplex.replaceWorstPoint(RealPointValuePair pointValuePair, java.util.Comparator<RealPointValuePair> comparator) Replace the worst point of the simplex by a new point.
protected void	AbstractSimplex.setPoint(int index, RealPointValuePair point) Store a new point at location index.
protected void	AbstractSimplex.setPoints(RealPointValuePair[] points) Replace all points.

Method parameters in org.apache.commons.math.optimization.direct with type arguments of type RealPointValuePair

void	AbstractSimplex.evaluate(MultivariateRealFunction evaluationFunction, java.util.Comparator<RealPointValuePair> comparator) Evaluate all the non-evaluated points of the simplex.
void	NelderMeadSimplex.iterate(MultivariateRealFunction evaluationFunction, java.util.Comparator<RealPointValuePair> comparator) Compute the next simplex of the algorithm.
void	MultiDirectionalSimplex.iterate(MultivariateRealFunction evaluationFunction, java.util.Comparator<RealPointValuePair> comparator) Compute the next simplex of the algorithm.
abstract void	AbstractSimplex.iterate(MultivariateRealFunction evaluationFunction, java.util.Comparator<RealPointValuePair> comparator) Compute the next simplex of the algorithm.
protected void	AbstractSimplex.replaceWorstPoint(RealPointValuePair pointValuePair, java.util.Comparator<RealPointValuePair> comparator) Replace the worst point of the simplex by a new point.
void	BaseAbstractScalarOptimizer.setConvergenceChecker(ConvergenceChecker<RealPointValuePair> convergenceChecker) Set the convergence checker.

Constructor parameters in org.apache.commons.math.optimization.direct with type arguments of type RealPointValuePair

BaseAbstractScalarOptimizer(ConvergenceChecker<RealPointValuePair> checker)

PowellOptimizer(double rel, double abs, ConvergenceChecker<RealPointValuePair> 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<RealPointValuePair> checker)

Uses of RealPointValuePair in org.apache.commons.math.optimization.general

Methods in org.apache.commons.math.optimization.general that return RealPointValuePair

protected RealPointValuePair	NonLinearConjugateGradientOptimizer.doOptimize() Perform the bulk of the optimization algorithm.
RealPointValuePair	AbstractScalarDifferentiableOptimizer.optimize(int maxEval, DifferentiableMultivariateRealFunction f, GoalType goalType, double[] startPoint) Optimize an objective function.

Constructor parameters in org.apache.commons.math.optimization.general with type arguments of type RealPointValuePair

AbstractScalarDifferentiableOptimizer(ConvergenceChecker<RealPointValuePair> checker)

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

NonLinearConjugateGradientOptimizer(ConjugateGradientFormula updateFormula, ConvergenceChecker<RealPointValuePair> checker, UnivariateRealSolver lineSearchSolver)
Constructor with default preconditioner.

NonLinearConjugateGradientOptimizer(ConjugateGradientFormula updateFormula, ConvergenceChecker<RealPointValuePair> checker, UnivariateRealSolver lineSearchSolver, Preconditioner preconditioner)

Uses of RealPointValuePair in org.apache.commons.math.optimization.linear

Methods in org.apache.commons.math.optimization.linear that return RealPointValuePair

RealPointValuePair	SimplexSolver.doOptimize() Perform the bulk of optimization algorithm.
protected abstract RealPointValuePair	AbstractLinearOptimizer.doOptimize() Perform the bulk of optimization algorithm.
RealPointValuePair	LinearOptimizer.optimize(LinearObjectiveFunction f, java.util.Collection<LinearConstraint> constraints, GoalType goalType, boolean restrictToNonNegative) Optimizes an objective function.
RealPointValuePair	AbstractLinearOptimizer.optimize(LinearObjectiveFunction f, java.util.Collection<LinearConstraint> constraints, GoalType goalType, boolean restrictToNonNegative) Optimizes an objective function.