roboptim::NagSolverNlpSparse Class Reference

Nonlinear sparse solver. More...

#include <roboptim/core/plugin/nag/nag-nlp-sparse.hh>

Inheritance diagram for roboptim::NagSolverNlpSparse:

List of all members.

Public Types
typedef NagSolverCommon < EigenMatrixSparse >	parent_t
typedef GenericLinearFunction < EigenMatrixSparse >	linearFunction_t
typedef GenericNumericLinearFunction < EigenMatrixSparse >	numericLinearFunction_t
typedef GenericDifferentiableFunction < EigenMatrixSparse >	differentiableFunction_t
typedef differentiableFunction_t	nonlinearFunction_t
typedef problem_t::function_t	function_t
typedef problem_t::vector_t	vector_t
typedef problem_t::jacobian_t	jacobian_t
Public Member Functions
	NagSolverNlpSparse (const problem_t &pb)
virtual	~NagSolverNlpSparse ()
void	solve ()
	Solve the problem.
void	setIterationCallback (callback_t callback)
const callback_t &	callback () const
solverState_t &	solverState ()
Static Public Attributes
static const int	linearFunctionId = 0
static const int	nonlinearFunctionId = 1

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Detailed Description

Nonlinear sparse solver.

Minimize an arbitrary smooth function subject to constraints (which may include simple bounds on the variables, linear constraints and smooth nonlinear constraints) using a sequential quadratic programming (SQP) method. As many first derivatives as possible should be supplied by you; any unspecified derivatives are approximated by finite differences. It is not intended for large sparse problems.

See also:

http://www.nag.com/numeric/CL/nagdoc_cl23/html/E04/e04wdc.html

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Member Typedef Documentation

typedef GenericDifferentiableFunction<EigenMatrixSparse> roboptim::NagSolverNlpSparse::differentiableFunction_t

typedef problem_t::function_t roboptim::NagSolverNlpSparse::function_t

typedef problem_t::jacobian_t roboptim::NagSolverNlpSparse::jacobian_t

typedef GenericLinearFunction<EigenMatrixSparse> roboptim::NagSolverNlpSparse::linearFunction_t

typedef differentiableFunction_t roboptim::NagSolverNlpSparse::nonlinearFunction_t

typedef GenericNumericLinearFunction<EigenMatrixSparse> roboptim::NagSolverNlpSparse::numericLinearFunction_t

typedef NagSolverCommon<EigenMatrixSparse> roboptim::NagSolverNlpSparse::parent_t

typedef problem_t::vector_t roboptim::NagSolverNlpSparse::vector_t

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Constructor & Destructor Documentation

roboptim::NagSolverNlpSparse::NagSolverNlpSparse

(

const problem_t &

pb

)

[explicit]

References roboptim::NagSolverCommon< EigenMatrixSparse >::initializeParameters().

roboptim::NagSolverNlpSparse::~NagSolverNlpSparse

(

)

[virtual]

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Member Function Documentation

const callback_t& roboptim::NagSolverNlpSparse::callback

(

)

const [inline]

Referenced by roboptim::detail::usrfun().

void roboptim::NagSolverNlpSparse::setIterationCallback

(

callback_t

callback

)

[inline]

void roboptim::NagSolverNlpSparse::solve

(

)

Solve the problem.

References roboptim::errorHandler(), roboptim::NagSolverCommon< EigenMatrixSparse >::updateParameters(), and roboptim::detail::usrfun().

solverState_t& roboptim::NagSolverNlpSparse::solverState

(

)

[inline]

Referenced by roboptim::detail::usrfun().

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Member Data Documentation

const int roboptim::NagSolverNlpSparse::linearFunctionId = 0 [static]

const int roboptim::NagSolverNlpSparse::nonlinearFunctionId = 1 [static]