roboptim::eigen::SolverWithJacobian Class Reference

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

#include <roboptim/core/plugin/eigen/eigen-levenberg-marquardt.hh>

Inheritance diagram for roboptim::eigen::SolverWithJacobian:

Collaboration diagram for roboptim::eigen::SolverWithJacobian:

Public Types
typedef Solver< EigenMatrixDense >	parent_t
	Parent type. More...
typedef problem_t::function_t	function_t
	Cost function type. More...
typedef parent_t::result_t	result_t
	type of result More...
typedef DifferentiableFunction::gradient_t	gradient_t
	type of gradient More...
typedef Function::size_type	size_type
	Size type. More...
typedef SolverState< parent_t::problem_t >	solverState_t
	Solver state. More...
typedef parent_t::callback_t	callback_t
	RobOptim callback. 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
	Return the number of variables. More...
size_type	m () const
	Return the number of functions. More...
Function::argument_t &	parameter ()
	Get the optimization parameters. More...
const Function::argument_t &	parameter () const
	Get the optimization parameters. More...
virtual void	setIterationCallback (callback_t callback)
	Set the callback called at each iteration. More...
const callback_t &	callback () const
	Get the callback called at each iteration. 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 parent_t::callback_t roboptim::eigen::SolverWithJacobian::callback_t

RobOptim callback.

typedef problem_t::function_t roboptim::eigen::SolverWithJacobian::function_t

Cost function type.

typedef DifferentiableFunction::gradient_t roboptim::eigen::SolverWithJacobian::gradient_t

type of gradient

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

Parent type.

typedef parent_t::result_t roboptim::eigen::SolverWithJacobian::result_t

type of result

typedef Function::size_type roboptim::eigen::SolverWithJacobian::size_type

Size type.

typedef SolverState<parent_t::problem_t> roboptim::eigen::SolverWithJacobian::solverState_t

Solver state.

Constructor & Destructor Documentation

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

explicit

Constructot by problem.

Referenced by create().

roboptim::eigen::SolverWithJacobian::~SolverWithJacobian ( )

virtual

Member Function Documentation

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

inline

const callback_t& roboptim::eigen::SolverWithJacobian::callback ( ) const

inline

Get the callback called at each iteration.

Referenced by setIterationCallback().

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

inline

Return the number of functions.

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

inline

Return the number of variables.

Function::argument_t& roboptim::eigen::SolverWithJacobian::parameter ( )

inline

Get the optimization parameters.

const Function::argument_t& roboptim::eigen::SolverWithJacobian::parameter ( ) const

inline

Get the optimization parameters.

virtual void roboptim::eigen::SolverWithJacobian::setIterationCallback ( callback_t  callback )

inlinevirtual

Set the callback called at each iteration.

References callback().

void roboptim::eigen::SolverWithJacobian::solve ( )

virtual

Solve the optimization problem.

References LOAD_RESULT_WARNINGS.