Uses of Class
fr.cnes.sirius.patrius.math.optim.PointValuePair

Packages that use PointValuePair

Package	Description
fr.cnes.sirius.patrius.math.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
fr.cnes.sirius.patrius.math.optim.linear
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Uses of PointValuePair in fr.cnes.sirius.patrius.math.optim

Methods in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.optim.linear

Methods in fr.cnes.sirius.patrius.math.optim.linear that return PointValuePair

Modifier and Type	Method and Description
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 fr.cnes.sirius.patrius.math.optim.nonlinear.scalar

Methods in fr.cnes.sirius.patrius.math.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	MultivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PointValuePair	GradientMultivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.optim.nonlinear.scalar with type arguments of type PointValuePair

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

Uses of PointValuePair in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient

Methods in fr.cnes.sirius.patrius.math.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 fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.gradient with type arguments of type PointValuePair

Constructor and Description
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormulaIn, ConvergenceChecker<PointValuePair> checker) Constructor with default line search solver and preconditioner .
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormulaIn, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver) Constructor with default preconditioner.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormulaIn, ConvergenceChecker<PointValuePair> checker, UnivariateSolver lineSearchSolver, Preconditioner preconditionerIn)

Uses of PointValuePair in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv that return PointValuePair

Modifier and Type	Method and Description
protected PointValuePair	CMAESOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
protected PointValuePair	SimplexOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
protected PointValuePair	PowellOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
protected PointValuePair	BOBYQAOptimizer.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.
protected PointValuePair	AbstractSimplex.replaceWorstPoint(PointValuePair pointValuePair, Comparator<PointValuePair> comparator) Replace the worst point of the simplex by a new point.

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv with parameters of type PointValuePair

Modifier and Type	Method and Description
protected PointValuePair	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 fr.cnes.sirius.patrius.math.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.
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 PointValuePair	AbstractSimplex.replaceWorstPoint(PointValuePair pointValuePair, Comparator<PointValuePair> comparator) Replace the worst point of the simplex by a new point.

Constructor parameters in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv with type arguments of type PointValuePair

Constructor and Description
CMAESOptimizer(int maxIterationsIn, double stopFitnessIn, boolean isActiveCMAIn, int diagonalOnlyIn, int checkFeasableCountIn, RandomGenerator randomIn, boolean generateStatisticsIn, 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)