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

Packages that use PointVectorValuePair

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.nonlinear.vector	Algorithms for optimizing a vector function.
org.apache.commons.math3.optim.nonlinear.vector.jacobian	This package provides optimization algorithms that require derivatives.

Uses of PointVectorValuePair in org.apache.commons.math3.optim

Methods in org.apache.commons.math3.optim with parameters of type PointVectorValuePair

boolean

SimpleVectorValueChecker.converged(int iteration, PointVectorValuePair previous, PointVectorValuePair current) Check if the optimization algorithm has converged considering the last two points.

Uses of PointVectorValuePair in org.apache.commons.math3.optim.nonlinear.vector

Methods in org.apache.commons.math3.optim.nonlinear.vector that return PointVectorValuePair

PointVectorValuePair[]	MultiStartMultivariateVectorOptimizer.getOptima() Gets all the optima found during the last call to optimize.
PointVectorValuePair	MultivariateVectorOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
PointVectorValuePair	JacobianMultivariateVectorOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods in org.apache.commons.math3.optim.nonlinear.vector with parameters of type PointVectorValuePair

protected void

MultiStartMultivariateVectorOptimizer.store(PointVectorValuePair optimum) Method that will be called in order to store each found optimum.

Constructor parameters in org.apache.commons.math3.optim.nonlinear.vector with type arguments of type PointVectorValuePair

JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)

MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)

Uses of PointVectorValuePair in org.apache.commons.math3.optim.nonlinear.vector.jacobian

Methods in org.apache.commons.math3.optim.nonlinear.vector.jacobian that return PointVectorValuePair

protected PointVectorValuePair	LevenbergMarquardtOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
PointVectorValuePair	GaussNewtonOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
PointVectorValuePair	AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Constructor parameters in org.apache.commons.math3.optim.nonlinear.vector.jacobian with type arguments of type PointVectorValuePair

AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair> checker)

GaussNewtonOptimizer(boolean useLU, ConvergenceChecker<PointVectorValuePair> checker)

GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Simple constructor with default settings.

LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Constructor that allows the specification of a custom convergence checker.

LevenbergMarquardtOptimizer(double initialStepBoundFactor, ConvergenceChecker<PointVectorValuePair> checker, double costRelativeTolerance, double parRelativeTolerance, double orthoTolerance, double threshold)
Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.