Uses of Interface
org.apache.commons.math4.legacy.analysis.MultivariateVectorFunction
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Packages that use MultivariateVectorFunction Package Description org.apache.commons.math4.legacy.analysis Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.org.apache.commons.math4.legacy.analysis.differentiation This package holds the main interfaces and basic building block classes dealing with differentiation.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.org.apache.commons.math4.legacy.optim.nonlinear.scalar Algorithms for optimizing a scalar function. -
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Uses of MultivariateVectorFunction in org.apache.commons.math4.legacy.analysis
Methods in org.apache.commons.math4.legacy.analysis with parameters of type MultivariateVectorFunction Modifier and Type Method Description static MultivariateDifferentiableFunctionFunctionUtils. toDifferentiable(MultivariateFunction f, MultivariateVectorFunction gradient)Convert regular functions toMultivariateDifferentiableFunction. -
Uses of MultivariateVectorFunction in org.apache.commons.math4.legacy.analysis.differentiation
Subinterfaces of MultivariateVectorFunction in org.apache.commons.math4.legacy.analysis.differentiation Modifier and Type Interface Description interfaceMultivariateDifferentiableVectorFunctionExtension ofMultivariateVectorFunctionrepresenting a multivariate differentiable vectorial function.Classes in org.apache.commons.math4.legacy.analysis.differentiation that implement MultivariateVectorFunction Modifier and Type Class Description classGradientFunctionClass representing the gradient of a multivariate function. -
Uses of MultivariateVectorFunction in org.apache.commons.math4.legacy.fitting
Methods in org.apache.commons.math4.legacy.fitting that return MultivariateVectorFunction Modifier and Type Method Description MultivariateVectorFunctionAbstractCurveFitter.TheoreticalValuesFunction. getModelFunction() -
Uses of MultivariateVectorFunction in org.apache.commons.math4.legacy.fitting.leastsquares
Methods in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type MultivariateVectorFunction Modifier and Type Method Description 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.LeastSquaresBuilderLeastSquaresBuilder. model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)Configure the model function.static MultivariateJacobianFunctionLeastSquaresFactory. model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)Combine aMultivariateVectorFunctionwith aMultivariateMatrixFunctionto produce aMultivariateJacobianFunction.Constructors in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type MultivariateVectorFunction Constructor Description DifferentiatorVectorMultivariateJacobianFunction(MultivariateVectorFunction function, UnivariateVectorFunctionDifferentiator differentiator)Build the jacobian function using a differentiator. -
Uses of MultivariateVectorFunction in org.apache.commons.math4.legacy.optim.nonlinear.scalar
Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar that return MultivariateVectorFunction Modifier and Type Method Description MultivariateVectorFunctionObjectiveFunctionGradient. getObjectiveFunctionGradient()Gets the gradient of the function to be optimized.Constructors in org.apache.commons.math4.legacy.optim.nonlinear.scalar with parameters of type MultivariateVectorFunction Constructor Description LeastSquaresConverter(MultivariateVectorFunction function, double[] observations)Builds a simple converter for uncorrelated residuals with identical weights.LeastSquaresConverter(MultivariateVectorFunction function, double[] observations, double[] weights)Builds a simple converter for uncorrelated residuals with the specified weights.LeastSquaresConverter(MultivariateVectorFunction function, double[] observations, RealMatrix scale)Builds a simple converter for correlated residuals with the specified weights.ObjectiveFunctionGradient(MultivariateVectorFunction g)
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