Uses of Interface
org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem
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Packages that use LeastSquaresProblem Package Description org.apache.commons.math4.legacy.fitting Classes to perform curve fitting.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 in org.apache.commons.math4.legacy.fitting
Methods in org.apache.commons.math4.legacy.fitting that return LeastSquaresProblem Modifier and Type Method Description protected abstract LeastSquaresProblemAbstractCurveFitter. getProblem(Collection<WeightedObservedPoint> points)Creates a least squares problem corresponding to the appropriate curve.protected LeastSquaresProblemSimpleCurveFitter. getProblem(Collection<WeightedObservedPoint> observations)Creates a least squares problem corresponding to the appropriate curve. -
Uses of LeastSquaresProblem in org.apache.commons.math4.legacy.fitting.leastsquares
Classes in org.apache.commons.math4.legacy.fitting.leastsquares that implement LeastSquaresProblem Modifier and Type Class Description classLeastSquaresAdapterAn adapter that delegates to another implementation ofLeastSquaresProblem.Methods in org.apache.commons.math4.legacy.fitting.leastsquares that return LeastSquaresProblem Modifier and Type Method Description LeastSquaresProblemLeastSquaresBuilder. build()Construct aLeastSquaresProblemfrom the data in this builder.static LeastSquaresProblemLeastSquaresFactory. countEvaluations(LeastSquaresProblem problem, IntegerSequence.Incrementor counter)Count the evaluations of a particular problem.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.static LeastSquaresProblemLeastSquaresFactory. weightDiagonal(LeastSquaresProblem problem, RealVector weights)Apply a diagonal weight matrix to theLeastSquaresProblem.static LeastSquaresProblemLeastSquaresFactory. weightMatrix(LeastSquaresProblem problem, RealMatrix weights)Apply a dense weight matrix to theLeastSquaresProblem.Methods in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type LeastSquaresProblem Modifier and Type Method Description static LeastSquaresProblemLeastSquaresFactory. countEvaluations(LeastSquaresProblem problem, IntegerSequence.Incrementor counter)Count the evaluations of a particular problem.LeastSquaresOptimizer.OptimumGaussNewtonOptimizer. optimize(LeastSquaresProblem lsp)Solve the non-linear least squares problem.LeastSquaresOptimizer.OptimumLeastSquaresOptimizer. optimize(LeastSquaresProblem leastSquaresProblem)Solve the non-linear least squares problem.LeastSquaresOptimizer.OptimumLevenbergMarquardtOptimizer. optimize(LeastSquaresProblem problem)Solve the non-linear least squares problem.static LeastSquaresProblemLeastSquaresFactory. weightDiagonal(LeastSquaresProblem problem, RealVector weights)Apply a diagonal weight matrix to theLeastSquaresProblem.static LeastSquaresProblemLeastSquaresFactory. weightMatrix(LeastSquaresProblem problem, RealMatrix weights)Apply a dense weight matrix to theLeastSquaresProblem.Constructors in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type LeastSquaresProblem Constructor Description LeastSquaresAdapter(LeastSquaresProblem problem)Delegate theLeastSquaresProbleminterface to the given implementation.
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