Uses of Interface
org.hipparchus.analysis.MultivariateFunction

Packages that use MultivariateFunction

Package	Description
org.hipparchus.analysis	Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.hipparchus.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.hipparchus.analysis.interpolation	Univariate real functions interpolation algorithms.
org.hipparchus.optim.linear	Optimization algorithms for linear constrained problems.
org.hipparchus.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.hipparchus.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.hipparchus.optim.nonlinear.vector.constrained	This package provides algorithms that minimize the residuals between observations and model values.

Uses of MultivariateFunction in org.hipparchus.analysis

Methods in org.hipparchus.analysis that return MultivariateFunction

Modifier and Type	Method	Description
static MultivariateFunction	FunctionUtils.collector(BivariateFunction combiner, double initialValue)	Returns a MultivariateFunction h(x[]) defined by
static MultivariateFunction	FunctionUtils.collector(BivariateFunction combiner, UnivariateFunction f, double initialValue)	Returns a MultivariateFunction h(x[]) defined by
static MultivariateFunction	FunctionUtils.derivative(MultivariateDifferentiableFunction f, int[] orders)	Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing nth order derivative.

Methods in org.hipparchus.analysis with parameters of type MultivariateFunction

Modifier and Type	Method	Description
static MultivariateDifferentiableFunction	FunctionUtils.toDifferentiable(MultivariateFunction f, MultivariateVectorFunction gradient)	Convert regular functions to MultivariateDifferentiableFunction.

Uses of MultivariateFunction in org.hipparchus.analysis.differentiation

Subinterfaces of MultivariateFunction in org.hipparchus.analysis.differentiation

Modifier and Type	Interface	Description
interface	MultivariateDifferentiableFunction	Extension of MultivariateFunction representing a multivariate differentiable real function.

Uses of MultivariateFunction in org.hipparchus.analysis.interpolation

Methods in org.hipparchus.analysis.interpolation that return MultivariateFunction

Modifier and Type	Method	Description
MultivariateFunction	MicrosphereProjectionInterpolator.interpolate(double[][] xval, double[] yval)	Computes an interpolating function for the data set.
MultivariateFunction	MultivariateInterpolator.interpolate(double[][] xval, double[] yval)	Computes an interpolating function for the data set.

Uses of MultivariateFunction in org.hipparchus.optim.linear

Classes in org.hipparchus.optim.linear that implement MultivariateFunction

Modifier and Type	Class	Description
class	LinearObjectiveFunction	An objective function for a linear optimization problem.

Uses of MultivariateFunction in org.hipparchus.optim.nonlinear.scalar

Classes in org.hipparchus.optim.nonlinear.scalar that implement MultivariateFunction

Modifier and Type	Class	Description
class	LeastSquaresConverter	This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
class	MultivariateFunctionMappingAdapter	Adapter for mapping bounded MultivariateFunction to unbounded ones.
class	MultivariateFunctionPenaltyAdapter	Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.

Methods in org.hipparchus.optim.nonlinear.scalar that return MultivariateFunction

Modifier and Type	Method	Description
MultivariateFunction	ObjectiveFunction.getObjectiveFunction()	Gets the function to be optimized.

Constructors in org.hipparchus.optim.nonlinear.scalar with parameters of type MultivariateFunction

Modifier	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)	Simple constructor.

Uses of MultivariateFunction in org.hipparchus.optim.nonlinear.scalar.noderiv

Methods in org.hipparchus.optim.nonlinear.scalar.noderiv with parameters of type MultivariateFunction

Modifier and Type	Method	Description
void	AbstractSimplex.evaluate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)	Evaluate all the non-evaluated points of the simplex.
abstract void	AbstractSimplex.iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)	Compute the next simplex of the algorithm.
void	MultiDirectionalSimplex.iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)	Compute the next simplex of the algorithm.
void	NelderMeadSimplex.iterate(MultivariateFunction evaluationFunction, Comparator<PointValuePair> comparator)	Compute the next simplex of the algorithm.

Uses of MultivariateFunction in org.hipparchus.optim.nonlinear.vector.constrained

Classes in org.hipparchus.optim.nonlinear.vector.constrained that implement MultivariateFunction

Modifier and Type	Class	Description
class	QuadraticFunction	Given P, Q, d, implements \(\frac{1}{2}x^T P X + Q^T x + d\).
class	TwiceDifferentiableFunction	A MultivariateFunction that also has a defined gradient and Hessian.