HybridNonLinearSolver< FunctorType, Scalar

Finds a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method ("dogleg"). More...

#include <HybridNonLinearSolver.h>

Public Types
typedef Matrix< Scalar, Dynamic, 1 >	FVectorType

typedef DenseIndex	Index

typedef Matrix< Scalar, Dynamic, Dynamic >	JacobianType

typedef Matrix< Scalar, Dynamic, Dynamic >	UpperTriangularType

Public Member Functions
HybridNonLinearSolverSpace::Status	hybrd1 (FVectorType &x, const Scalar tol=internal::sqrt(NumTraits< Scalar >::epsilon()))

	HybridNonLinearSolver (FunctorType &_functor)

HybridNonLinearSolverSpace::Status	hybrj1 (FVectorType &x, const Scalar tol=internal::sqrt(NumTraits< Scalar >::epsilon()))

void	resetParameters (void)

HybridNonLinearSolverSpace::Status	solve (FVectorType &x)

HybridNonLinearSolverSpace::Status	solveInit (FVectorType &x)

HybridNonLinearSolverSpace::Status	solveNumericalDiff (FVectorType &x)

HybridNonLinearSolverSpace::Status	solveNumericalDiffInit (FVectorType &x)

HybridNonLinearSolverSpace::Status	solveNumericalDiffOneStep (FVectorType &x)

HybridNonLinearSolverSpace::Status	solveOneStep (FVectorType &x)

Public Attributes
FVectorType	diag

JacobianType	fjac

Scalar	fnorm

FVectorType	fvec

Index	iter

Index	nfev

Index	njev

Parameters	parameters

FVectorType	qtf

UpperTriangularType	R

bool	useExternalScaling

Detailed Description

template<typename FunctorType, typename Scalar = double>
class Eigen::HybridNonLinearSolver< FunctorType, Scalar >

Finds a zero of a system of n nonlinear functions in n variables by a modification of the Powell hybrid method ("dogleg").

The user must provide a subroutine which calculates the functions. The Jacobian is either provided by the user, or approximated using a forward-difference method.

The documentation for this class was generated from the following file:

HybridNonLinearSolver.h

Public Types

Public Member Functions

Public Attributes

Detailed Description