Uses of Interface
org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation
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Packages that use LeastSquaresProblem.Evaluation Package Description org.apache.commons.math4.legacy.fitting.leastsquares This package provides algorithms that minimize the residuals between observations and model values. -
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Uses of LeastSquaresProblem.Evaluation in org.apache.commons.math4.legacy.fitting.leastsquares
Subinterfaces of LeastSquaresProblem.Evaluation in org.apache.commons.math4.legacy.fitting.leastsquares Modifier and Type Interface Description static interfaceLeastSquaresOptimizer.OptimumThe optimum found by the optimizer.Classes in org.apache.commons.math4.legacy.fitting.leastsquares that implement LeastSquaresProblem.Evaluation Modifier and Type Class Description classAbstractEvaluationAn implementation ofLeastSquaresProblem.Evaluationthat is designed for extension.Methods in org.apache.commons.math4.legacy.fitting.leastsquares that return LeastSquaresProblem.Evaluation Modifier and Type Method Description LeastSquaresProblem.EvaluationLeastSquaresAdapter. evaluate(RealVector point)Evaluate the model at the specified point.LeastSquaresProblem.EvaluationLeastSquaresProblem. evaluate(RealVector point)Evaluate the model at the specified point.Methods in org.apache.commons.math4.legacy.fitting.leastsquares that return types with arguments of type LeastSquaresProblem.Evaluation Modifier and Type Method Description static ConvergenceChecker<LeastSquaresProblem.Evaluation>LeastSquaresFactory. evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)View a convergence checker specified for aPointVectorValuePairas one specified for anLeastSquaresProblem.Evaluation.ConvergenceChecker<LeastSquaresProblem.Evaluation>LeastSquaresAdapter. getConvergenceChecker()Gets the convergence checker.Methods in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type LeastSquaresProblem.Evaluation Modifier and Type Method Description booleanEvaluationRmsChecker. converged(int iteration, LeastSquaresProblem.Evaluation previous, LeastSquaresProblem.Evaluation current)Check if the optimization algorithm has converged.Method parameters in org.apache.commons.math4.legacy.fitting.leastsquares with type arguments of type LeastSquaresProblem.Evaluation Modifier and Type Method Description LeastSquaresBuilderLeastSquaresBuilder. checker(ConvergenceChecker<LeastSquaresProblem.Evaluation> newChecker)Configure the convergence checker.static LeastSquaresProblemLeastSquaresFactory. create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)Create aLeastSquaresProblemfrom the given elements.static LeastSquaresProblemLeastSquaresFactory. create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)Create aLeastSquaresProblemfrom the given elements.static LeastSquaresProblemLeastSquaresFactory. create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations, boolean lazyEvaluation, ParameterValidator paramValidator)Create aLeastSquaresProblemfrom the given elements.static LeastSquaresProblemLeastSquaresFactory. create(MultivariateJacobianFunction model, RealVector observed, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)Create aLeastSquaresProblemfrom the given elements.
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