Uses of Interface
org.apache.commons.math3.analysis.MultivariateVectorFunction
Packages that use MultivariateVectorFunction
Package
Description
Parent package for common numerical analysis procedures, including root finding,
function interpolation and integration.
This package holds the main interfaces and basic building block classes
dealing with differentiation.
Classes to perform curve fitting.
This package provides algorithms that minimize the residuals
between observations and model values.
Algorithms for optimizing a scalar function.
Algorithms for optimizing a vector function.
All classes and sub-packages of this package are deprecated.
This package provides optimization algorithms that don't require derivatives.
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Uses of MultivariateVectorFunction in org.apache.commons.math3.analysis
Subinterfaces of MultivariateVectorFunction in org.apache.commons.math3.analysisModifier and TypeInterfaceDescriptioninterfaceDeprecated.Methods in org.apache.commons.math3.analysis that return MultivariateVectorFunctionModifier and TypeMethodDescriptionDifferentiableMultivariateFunction.gradient()Deprecated.Returns the gradient function. -
Uses of MultivariateVectorFunction in org.apache.commons.math3.analysis.differentiation
Subinterfaces of MultivariateVectorFunction in org.apache.commons.math3.analysis.differentiationModifier and TypeInterfaceDescriptioninterfaceExtension ofMultivariateVectorFunctionrepresenting a multivariate differentiable vectorial function.Classes in org.apache.commons.math3.analysis.differentiation that implement MultivariateVectorFunctionModifier and TypeClassDescriptionclassClass representing the gradient of a multivariate function. -
Uses of MultivariateVectorFunction in org.apache.commons.math3.fitting
Methods in org.apache.commons.math3.fitting that return MultivariateVectorFunctionModifier and TypeMethodDescriptionAbstractCurveFitter.TheoreticalValuesFunction.getModelFunction() -
Uses of MultivariateVectorFunction in org.apache.commons.math3.fitting.leastsquares
Methods in org.apache.commons.math3.fitting.leastsquares with parameters of type MultivariateVectorFunctionModifier and TypeMethodDescriptionstatic 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.LeastSquaresBuilder.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Configure the model function.static MultivariateJacobianFunctionLeastSquaresFactory.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Combine aMultivariateVectorFunctionwith aMultivariateMatrixFunctionto produce aMultivariateJacobianFunction. -
Uses of MultivariateVectorFunction in org.apache.commons.math3.optim.nonlinear.scalar
Methods in org.apache.commons.math3.optim.nonlinear.scalar that return MultivariateVectorFunctionModifier and TypeMethodDescriptionObjectiveFunctionGradient.getObjectiveFunctionGradient()Gets the gradient of the function to be optimized.Constructors in org.apache.commons.math3.optim.nonlinear.scalar with parameters of type MultivariateVectorFunctionModifierConstructorDescriptionLeastSquaresConverter(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. -
Uses of MultivariateVectorFunction in org.apache.commons.math3.optim.nonlinear.vector
Methods in org.apache.commons.math3.optim.nonlinear.vector that return MultivariateVectorFunctionModifier and TypeMethodDescriptionModelFunction.getModelFunction()Deprecated.Gets the model function to be optimized.Constructors in org.apache.commons.math3.optim.nonlinear.vector with parameters of type MultivariateVectorFunction -
Uses of MultivariateVectorFunction in org.apache.commons.math3.optimization
Classes in org.apache.commons.math3.optimization with type parameters of type MultivariateVectorFunctionModifier and TypeClassDescriptionclassDeprecated.As of 3.1 (to be removed in 4.0).interfaceBaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>Deprecated.As of 3.1 (to be removed in 4.0).Constructors in org.apache.commons.math3.optimization with parameters of type MultivariateVectorFunctionModifierConstructorDescriptionLeastSquaresConverter(MultivariateVectorFunction function, double[] observations) Deprecated.Build a simple converter for uncorrelated residuals with the same weight.LeastSquaresConverter(MultivariateVectorFunction function, double[] observations, double[] weights) Deprecated.Build a simple converter for uncorrelated residuals with the specific weights.LeastSquaresConverter(MultivariateVectorFunction function, double[] observations, RealMatrix scale) Deprecated.Build a simple converter for correlated residuals with the specific weights. -
Uses of MultivariateVectorFunction in org.apache.commons.math3.optimization.direct
Classes in org.apache.commons.math3.optimization.direct with type parameters of type MultivariateVectorFunctionModifier and TypeClassDescriptionclassDeprecated.As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorFunction