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 MultivariateDifferentiableFunction
FunctionUtils. toDifferentiable(MultivariateFunction f, MultivariateVectorFunction gradient)
Convert regular functions toMultivariateDifferentiableFunction
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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 interface
MultivariateDifferentiableVectorFunction
Extension ofMultivariateVectorFunction
representing a multivariate differentiable vectorial function.Classes in org.apache.commons.math4.legacy.analysis.differentiation that implement MultivariateVectorFunction Modifier and Type Class Description class
GradientFunction
Class 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 MultivariateVectorFunction
AbstractCurveFitter.TheoreticalValuesFunction. getModelFunction()
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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 LeastSquaresProblem
LeastSquaresFactory. create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)
Create aLeastSquaresProblem
from the given elements.LeastSquaresBuilder
LeastSquaresBuilder. model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)
Configure the model function.static MultivariateJacobianFunction
LeastSquaresFactory. model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)
Combine aMultivariateVectorFunction
with aMultivariateMatrixFunction
to 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 MultivariateVectorFunction
ObjectiveFunctionGradient. 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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