Uses of Class
org.apache.commons.math.optimization.VectorialPointValuePair
Packages that use VectorialPointValuePair
Package
Description
This package provides common interfaces for the optimization algorithms
provided in sub-packages.
This package provides optimization algorithms that require derivatives.
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Uses of VectorialPointValuePair in org.apache.commons.math.optimization
Methods in org.apache.commons.math.optimization that return VectorialPointValuePairModifier and TypeMethodDescriptionMultiStartDifferentiableMultivariateVectorialOptimizer.getOptima()Get all the optima found during the last call tooptimize.DifferentiableMultivariateVectorialOptimizer.optimize(DifferentiableMultivariateVectorialFunction f, double[] target, double[] weights, double[] startPoint) Optimizes an objective function.MultiStartDifferentiableMultivariateVectorialOptimizer.optimize(DifferentiableMultivariateVectorialFunction f, double[] target, double[] weights, double[] startPoint) Optimizes an objective function.Methods in org.apache.commons.math.optimization with parameters of type VectorialPointValuePairModifier and TypeMethodDescriptionbooleanSimpleVectorialPointChecker.converged(int iteration, VectorialPointValuePair previous, VectorialPointValuePair current) Check if the optimization algorithm has converged considering the last points.booleanSimpleVectorialValueChecker.converged(int iteration, VectorialPointValuePair previous, VectorialPointValuePair current) Check if the optimization algorithm has converged considering the last points.booleanVectorialConvergenceChecker.converged(int iteration, VectorialPointValuePair previous, VectorialPointValuePair current) Check if the optimization algorithm has converged considering the last points. -
Uses of VectorialPointValuePair in org.apache.commons.math.optimization.general
Methods in org.apache.commons.math.optimization.general that return VectorialPointValuePairModifier and TypeMethodDescriptionprotected abstract VectorialPointValuePairAbstractLeastSquaresOptimizer.doOptimize()Perform the bulk of optimization algorithm.GaussNewtonOptimizer.doOptimize()Perform the bulk of optimization algorithm.protected VectorialPointValuePairLevenbergMarquardtOptimizer.doOptimize()Perform the bulk of optimization algorithm.AbstractLeastSquaresOptimizer.optimize(DifferentiableMultivariateVectorialFunction f, double[] target, double[] weights, double[] startPoint) Optimizes an objective function.