Uses of Interface
fr.cnes.sirius.patrius.math.analysis.MultivariateVectorFunction

Packages that use MultivariateVectorFunction

Package	Description
fr.cnes.sirius.patrius.math.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar
fr.cnes.sirius.patrius.math.optim.nonlinear.vector
fr.cnes.sirius.patrius.propagation.analytical.tle

Uses of MultivariateVectorFunction in fr.cnes.sirius.patrius.math.analysis.differentiation

Subinterfaces of MultivariateVectorFunction in fr.cnes.sirius.patrius.math.analysis.differentiation

Modifier and Type	Interface and Description
interface	MultivariateDifferentiableVectorFunction Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.

Classes in fr.cnes.sirius.patrius.math.analysis.differentiation that implement MultivariateVectorFunction

Modifier and Type	Class and Description
class	GradientFunction Class representing the gradient of a multivariate function.

Uses of MultivariateVectorFunction in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar that return MultivariateVectorFunction

Modifier and Type	Method and Description
MultivariateVectorFunction	ObjectiveFunctionGradient.getObjectiveFunctionGradient() Gets the gradient of the function to be optimized.

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar with parameters of type MultivariateVectorFunction

Constructor and Description
LeastSquaresConverter(MultivariateVectorFunction functionIn, double[] observationsIn) Builds a simple converter for uncorrelated residuals with identical weights.
LeastSquaresConverter(MultivariateVectorFunction functionIn, double[] observationsIn, double[] weightsIn) Builds a simple converter for uncorrelated residuals with the specified weights.
LeastSquaresConverter(MultivariateVectorFunction functionIn, double[] observationsIn, RealMatrix scaleIn) Builds a simple converter for correlated residuals with the specified weights.
ObjectiveFunctionGradient(MultivariateVectorFunction g)

Uses of MultivariateVectorFunction in fr.cnes.sirius.patrius.math.optim.nonlinear.vector

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector that return MultivariateVectorFunction

Modifier and Type	Method and Description
MultivariateVectorFunction	ModelFunction.getModelFunction() Gets the model function to be optimized.

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.vector with parameters of type MultivariateVectorFunction

Constructor and Description
ModelFunction(MultivariateVectorFunction m)

Uses of MultivariateVectorFunction in fr.cnes.sirius.patrius.propagation.analytical.tle

Classes in fr.cnes.sirius.patrius.propagation.analytical.tle that implement MultivariateVectorFunction

Modifier and Type	Class and Description
protected class	AbstractTLEFitter.ResidualsFunction Internal class for computing position/velocity at sample points.