Uses of Class
org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
Packages that use UnivariatePointValuePair
Package
Description
Algorithms for optimizing a scalar function.
One-dimensional optimization algorithms.
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Uses of UnivariatePointValuePair in org.apache.commons.math3.optim.nonlinear.scalar
Methods in org.apache.commons.math3.optim.nonlinear.scalar that return UnivariatePointValuePairModifier and TypeMethodDescriptionLineSearch.search(double[] startPoint, double[] direction) Finds the numberalphathat optimizesf(startPoint + alpha * direction). -
Uses of UnivariatePointValuePair in org.apache.commons.math3.optim.univariate
Methods in org.apache.commons.math3.optim.univariate that return UnivariatePointValuePairModifier and TypeMethodDescriptionprotected UnivariatePointValuePairBrentOptimizer.doOptimize()Performs the bulk of the optimization algorithm.protected UnivariatePointValuePairMultiStartUnivariateOptimizer.doOptimize()Performs the bulk of the optimization algorithm.MultiStartUnivariateOptimizer.getOptima()Gets all the optima found during the last call tooptimize.MultiStartUnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.UnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.Methods in org.apache.commons.math3.optim.univariate with parameters of type UnivariatePointValuePairModifier and TypeMethodDescriptionbooleanSimpleUnivariateValueChecker.converged(int iteration, UnivariatePointValuePair previous, UnivariatePointValuePair current) Check if the optimization algorithm has converged considering the last two points.Constructor parameters in org.apache.commons.math3.optim.univariate with type arguments of type UnivariatePointValuePairModifierConstructorDescriptionBrentOptimizer(double rel, double abs, ConvergenceChecker<UnivariatePointValuePair> checker) The arguments are used implement the original stopping criterion of Brent's algorithm.protected