Eigen::HybridNonLinearSolver< FunctorType, Scalar > Class Template Reference

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>

Classes
struct	Parameters

Public Types
typedef DenseIndex	Index
typedef Matrix< Scalar, Dynamic, 1 >	FVectorType
typedef Matrix< Scalar, Dynamic, Dynamic >	JacobianType
typedef Matrix< Scalar, Dynamic, Dynamic >	UpperTriangularType

Public Member Functions
	HybridNonLinearSolver (FunctorType &_functor)
HybridNonLinearSolverSpace::Status	hybrj1 (FVectorType &x, const Scalar tol=std::sqrt(NumTraits< Scalar >::epsilon()))
HybridNonLinearSolverSpace::Status	solveInit (FVectorType &x)
HybridNonLinearSolverSpace::Status	solveOneStep (FVectorType &x)
HybridNonLinearSolverSpace::Status	solve (FVectorType &x)
HybridNonLinearSolverSpace::Status	hybrd1 (FVectorType &x, const Scalar tol=std::sqrt(NumTraits< Scalar >::epsilon()))
HybridNonLinearSolverSpace::Status	solveNumericalDiffInit (FVectorType &x)
HybridNonLinearSolverSpace::Status	solveNumericalDiffOneStep (FVectorType &x)
HybridNonLinearSolverSpace::Status	solveNumericalDiff (FVectorType &x)
void	resetParameters (void)

Public Attributes
Parameters	parameters
FVectorType	fvec
FVectorType	qtf
FVectorType	diag
JacobianType	fjac
UpperTriangularType	R
Index	nfev
Index	njev
Index	iter
Scalar	fnorm
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.

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

• third-party-libs/eigen3/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h