roboptim::cminpack::SolverWithJacobian Class Reference

Solver implementing a variant of Levenberg-Marquardt algorithm. More...

#include <roboptim/core/plugin/cminpack.hh>

Inheritance diagram for roboptim::cminpack::SolverWithJacobian:

Public Types
typedef Solver< EigenMatrixDense >	parent_t
	Parent type. More...
typedef SumOfC1Squares	function_t
	Cost function type. More...
typedef function_t::argument_t	argument_t
	Type of result. More...
typedef function_t::argument_ref	argument_ref
typedef function_t::const_argument_ref	const_argument_ref
typedef function_t::result_t	result_t
	Type of result. More...
typedef function_t::gradient_t	gradient_t
	Type of gradient. More...
typedef function_t::const_gradient_ref	const_gradient_ref
typedef function_t::size_type	size_type
	Size type. More...

Public Member Functions
	SolverWithJacobian (const problem_t &problem)
	Constructot by problem. More...
virtual	~SolverWithJacobian ()
virtual void	solve ()
	Solve the optimization problem. More...
size_type	n () const
	Number of variables. More...
size_type	m () const
	Number of functions. More...
argument_t &	parameter ()
	Get parameter. More...
const argument_t &	parameter () const
const argument_t &	value () const
	Get value. More...
const gradient_t &	jacobianRow (size_type iRow) const
	Get Jacobian. More...
const boost::shared_ptr< const DifferentiableFunction >	baseCost () const

Detailed Description

Solver implementing a variant of Levenberg-Marquardt algorithm.

This solver tries to minimize the euclidean norm of a vector valued function.

Member Typedef Documentation

typedef function_t::argument_ref roboptim::cminpack::SolverWithJacobian::argument_ref

typedef function_t::argument_t roboptim::cminpack::SolverWithJacobian::argument_t

Type of result.

typedef function_t::const_argument_ref roboptim::cminpack::SolverWithJacobian::const_argument_ref

typedef function_t::const_gradient_ref roboptim::cminpack::SolverWithJacobian::const_gradient_ref

typedef SumOfC1Squares roboptim::cminpack::SolverWithJacobian::function_t

Cost function type.

typedef function_t::gradient_t roboptim::cminpack::SolverWithJacobian::gradient_t

Type of gradient.

typedef Solver<EigenMatrixDense> roboptim::cminpack::SolverWithJacobian::parent_t

Parent type.

typedef function_t::result_t roboptim::cminpack::SolverWithJacobian::result_t

Type of result.

typedef function_t::size_type roboptim::cminpack::SolverWithJacobian::size_type

Size type.

Constructor & Destructor Documentation

roboptim::cminpack::SolverWithJacobian::SolverWithJacobian ( const problem_t &  problem )

explicit

Constructot by problem.

roboptim::cminpack::SolverWithJacobian::~SolverWithJacobian ( )

virtual

Member Function Documentation

const boost::shared_ptr<const DifferentiableFunction> roboptim::cminpack::SolverWithJacobian::baseCost ( ) const

inline

const gradient_t& roboptim::cminpack::SolverWithJacobian::jacobianRow ( size_type  iRow ) const

inline

Get Jacobian.

Referenced by roboptim_plugin_cminpack_fcn().

size_type roboptim::cminpack::SolverWithJacobian::m ( ) const

inline

Number of functions.

Referenced by roboptim_plugin_cminpack_fcn().

size_type roboptim::cminpack::SolverWithJacobian::n ( ) const

inline

Number of variables.

Referenced by roboptim_plugin_cminpack_fcn().

argument_t& roboptim::cminpack::SolverWithJacobian::parameter ( )

inline

Get parameter.

Referenced by roboptim_plugin_cminpack_fcn().

const argument_t& roboptim::cminpack::SolverWithJacobian::parameter ( ) const

inline

void roboptim::cminpack::SolverWithJacobian::solve ( )

virtual

Solve the optimization problem.

References roboptim_plugin_cminpack_fcn().

const argument_t& roboptim::cminpack::SolverWithJacobian::value ( ) const

inline

Get value.

Referenced by roboptim_plugin_cminpack_fcn().