Uses of Interface
org.hipparchus.optim.ConvergenceChecker

Packages that use ConvergenceChecker

Package	Description
org.hipparchus.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.hipparchus.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.hipparchus.optim.nonlinear.scalar.gradient	This package provides optimization algorithms that require derivatives.
org.hipparchus.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.hipparchus.optim.nonlinear.vector.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
org.hipparchus.optim.univariate	One-dimensional optimization algorithms.

Uses of ConvergenceChecker in org.hipparchus.optim

Classes in org.hipparchus.optim that implement ConvergenceChecker

Modifier and Type	Class and Description
class	AbstractConvergenceChecker<P> Base class for all convergence checker implementations.
class	SimplePointChecker<P extends Pair<double[],? extends Object>> Simple implementation of the ConvergenceChecker interface using only point coordinates.
class	SimpleValueChecker Simple implementation of the ConvergenceChecker interface using only objective function values.
class	SimpleVectorValueChecker Simple implementation of the ConvergenceChecker interface using only objective function values.

Methods in org.hipparchus.optim that return ConvergenceChecker

Modifier and Type	Method and Description
ConvergenceChecker<P>	OptimizationProblem.getConvergenceChecker() Gets the convergence checker.
ConvergenceChecker<P>	BaseOptimizer.getConvergenceChecker() Gets the convergence checker.
ConvergenceChecker<P>	AbstractOptimizationProblem.getConvergenceChecker() Gets the convergence checker.

Constructors in org.hipparchus.optim with parameters of type ConvergenceChecker

Constructor and Description
AbstractOptimizationProblem(int maxEvaluations, int maxIterations, ConvergenceChecker<P> checker) Create an AbstractOptimizationProblem from the given data.
BaseMultivariateOptimizer(ConvergenceChecker<P> checker)
BaseOptimizer(ConvergenceChecker<P> checker)
BaseOptimizer(ConvergenceChecker<P> checker, int maxEval, int maxIter)

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

Constructors in org.hipparchus.optim.nonlinear.scalar with parameters of type ConvergenceChecker

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

Uses of ConvergenceChecker in org.hipparchus.optim.nonlinear.scalar.gradient

Constructors in org.hipparchus.optim.nonlinear.scalar.gradient with parameters of type ConvergenceChecker

Constructor and Description
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker) Constructor with default tolerances for the line search (1e-8) and preconditioner.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, double relativeTolerance, double absoluteTolerance, double initialBracketingRange) Constructor with default preconditioner.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula updateFormula, ConvergenceChecker<PointValuePair> checker, double relativeTolerance, double absoluteTolerance, double initialBracketingRange, Preconditioner preconditioner)

Uses of ConvergenceChecker in org.hipparchus.optim.nonlinear.scalar.noderiv

Constructors in org.hipparchus.optim.nonlinear.scalar.noderiv with parameters of type ConvergenceChecker

Constructor and Description
CMAESOptimizer(int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics, 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)

Uses of ConvergenceChecker in org.hipparchus.optim.nonlinear.vector.leastsquares

Classes in org.hipparchus.optim.nonlinear.vector.leastsquares that implement ConvergenceChecker

Modifier and Type	Class and Description
class	EvaluationRmsChecker Check if an optimization has converged based on the change in computed RMS.

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return ConvergenceChecker

Modifier and Type	Method and Description
static ConvergenceChecker<LeastSquaresProblem.Evaluation>	LeastSquaresFactory.evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker) View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.
ConvergenceChecker<LeastSquaresProblem.Evaluation>	LeastSquaresAdapter.getConvergenceChecker() Gets the convergence checker.

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares with parameters of type ConvergenceChecker

Modifier and Type	Method and Description
LeastSquaresBuilder	LeastSquaresBuilder.checker(ConvergenceChecker<LeastSquaresProblem.Evaluation> newChecker) Configure the convergence checker.
LeastSquaresBuilder	LeastSquaresBuilder.checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker) Configure the convergence checker.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations, boolean lazyEvaluation, ParameterValidator paramValidator) Create a LeastSquaresProblem from the given elements.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
static ConvergenceChecker<LeastSquaresProblem.Evaluation>	LeastSquaresFactory.evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker) View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.

Uses of ConvergenceChecker in org.hipparchus.optim.univariate

Classes in org.hipparchus.optim.univariate that implement ConvergenceChecker

Modifier and Type	Class and Description
class	SimpleUnivariateValueChecker Simple implementation of the ConvergenceChecker interface that uses only objective function values.

Constructors in org.hipparchus.optim.univariate with parameters of type ConvergenceChecker

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)