Uses of Interface
org.apache.commons.math4.legacy.analysis.MultivariateFunction
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Packages that use MultivariateFunction 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.analysis.interpolation Univariate real functions interpolation algorithms.org.apache.commons.math4.legacy.optim.linear Optimization algorithms for linear constrained problems.org.apache.commons.math4.legacy.optim.nonlinear.scalar Algorithms for optimizing a scalar function.org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv This package provides optimization algorithms that do not require derivatives. -
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Uses of MultivariateFunction in org.apache.commons.math4.legacy.analysis
Methods in org.apache.commons.math4.legacy.analysis that return MultivariateFunction Modifier and Type Method Description static MultivariateFunctionFunctionUtils. collector(BivariateFunction combiner, double initialValue)Returns a MultivariateFunction h(x[]).static MultivariateFunctionFunctionUtils. collector(BivariateFunction combiner, UnivariateFunction f, double initialValue)Returns a MultivariateFunction h(x[]).static MultivariateFunctionFunctionUtils. derivative(MultivariateDifferentiableFunction f, int[] orders)Convert anMultivariateDifferentiableFunctionto anMultivariateFunctioncomputing nth order derivative.Methods in org.apache.commons.math4.legacy.analysis with parameters of type MultivariateFunction Modifier and Type Method Description static MultivariateDifferentiableFunctionFunctionUtils. toDifferentiable(MultivariateFunction f, MultivariateVectorFunction gradient)Convert regular functions toMultivariateDifferentiableFunction. -
Uses of MultivariateFunction in org.apache.commons.math4.legacy.analysis.differentiation
Subinterfaces of MultivariateFunction in org.apache.commons.math4.legacy.analysis.differentiation Modifier and Type Interface Description interfaceMultivariateDifferentiableFunctionExtension ofMultivariateFunctionrepresenting a multivariate differentiable real function. -
Uses of MultivariateFunction in org.apache.commons.math4.legacy.analysis.interpolation
Methods in org.apache.commons.math4.legacy.analysis.interpolation that return MultivariateFunction Modifier and Type Method Description MultivariateFunctionMicrosphereProjectionInterpolator. interpolate(double[][] xval, double[] yval)Computes an interpolating function for the data set.MultivariateFunctionMultivariateInterpolator. interpolate(double[][] xval, double[] yval)Computes an interpolating function for the data set. -
Uses of MultivariateFunction in org.apache.commons.math4.legacy.optim.linear
Classes in org.apache.commons.math4.legacy.optim.linear that implement MultivariateFunction Modifier and Type Class Description classLinearObjectiveFunctionAn objective function for a linear optimization problem. -
Uses of MultivariateFunction in org.apache.commons.math4.legacy.optim.nonlinear.scalar
Classes in org.apache.commons.math4.legacy.optim.nonlinear.scalar that implement MultivariateFunction Modifier and Type Class Description classLeastSquaresConverterThis class convertsvectorial objective functionstoscalar objective functionswhen the goal is to minimize them.classMultivariateFunctionMappingAdapterAdapter for mapping boundedMultivariateFunctionto unbounded ones.classMultivariateFunctionPenaltyAdapterAdapter extending boundedMultivariateFunctionto an unbouded domain using a penalty function.Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar that return MultivariateFunction Modifier and Type Method Description MultivariateFunctionObjectiveFunction. getObjectiveFunction()Gets the function to be optimized.Constructors in org.apache.commons.math4.legacy.optim.nonlinear.scalar with parameters of type MultivariateFunction Constructor Description MultivariateFunctionMappingAdapter(MultivariateFunction bounded, double[] lower, double[] upper)Simple constructor.MultivariateFunctionPenaltyAdapter(MultivariateFunction bounded, double[] lower, double[] upper, double offset, double[] scale)Simple constructor.ObjectiveFunction(MultivariateFunction f) -
Uses of MultivariateFunction in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv
Methods in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv with parameters of type MultivariateFunction Modifier and Type Method Description UnaryOperator<Simplex>HedarFukushimaTransform. create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate saAcceptance)Creates a simplex transformation.UnaryOperator<Simplex>MultiDirectionalTransform. create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate sa)Creates a simplex transformation.UnaryOperator<Simplex>NelderMeadTransform. create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate sa)Creates a simplex transformation.UnaryOperator<Simplex>Simplex.TransformFactory. create(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator, DoublePredicate saAcceptance)Creates a simplex transformation.SimplexSimplex. evaluate(MultivariateFunction function, Comparator<PointValuePair> comparator)Evaluates the (non-evaluated) simplex points and returns a new instance with vertices sorted from best to worst.
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