Uses of Class
org.hipparchus.optim.univariate.UnivariatePointValuePair

Packages that use UnivariatePointValuePair

Package	Description
org.hipparchus.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.hipparchus.optim.univariate	One-dimensional optimization algorithms.

Uses of UnivariatePointValuePair in org.hipparchus.optim.nonlinear.scalar

Methods in org.hipparchus.optim.nonlinear.scalar that return UnivariatePointValuePair

Modifier and Type	Method and Description
UnivariatePointValuePair	LineSearch.search(double[] startPoint, double[] direction) Finds the number alpha that optimizes f(startPoint + alpha * direction).

Uses of UnivariatePointValuePair in org.hipparchus.optim.univariate

Methods in org.hipparchus.optim.univariate that return UnivariatePointValuePair

Modifier and Type	Method and Description
protected UnivariatePointValuePair	MultiStartUnivariateOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
protected UnivariatePointValuePair	BrentOptimizer.doOptimize() Performs the bulk of the optimization algorithm.
UnivariatePointValuePair[]	MultiStartUnivariateOptimizer.getOptima() Gets all the optima found during the last call to optimize.
UnivariatePointValuePair	UnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.
UnivariatePointValuePair	MultiStartUnivariateOptimizer.optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods in org.hipparchus.optim.univariate with parameters of type UnivariatePointValuePair

Modifier and Type	Method and Description
boolean	SimpleUnivariateValueChecker.converged(int iteration, UnivariatePointValuePair previous, UnivariatePointValuePair current) Check if the optimization algorithm has converged considering the last two points.

Constructor parameters in org.hipparchus.optim.univariate with type arguments of type UnivariatePointValuePair

Constructor and Description
BrentOptimizer(double rel, double abs, ConvergenceChecker<UnivariatePointValuePair> checker) The arguments are used implement the original stopping criterion of Brent's algorithm.
UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)