roboptim::NagSolverNlp Class Reference

Nonlinear solver. More...

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

Inheritance diagram for roboptim::NagSolverNlp:

List of all members.

Public Types
typedef NagSolverCommon < EigenMatrixDense >	parent_t
Public Member Functions
	NagSolverNlp (const problem_t &pb)
virtual	~NagSolverNlp ()
void	solve ()
	Solve the problem.
void	setIterationCallback (callback_t callback)
const callback_t &	callback () const
solverState_t &	solverState ()

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Detailed Description

Nonlinear 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 NagSolverCommon<EigenMatrixDense> roboptim::NagSolverNlp::parent_t

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Constructor & Destructor Documentation

roboptim::NagSolverNlp::NagSolverNlp

(

const problem_t &

pb

)

[explicit]

roboptim::NagSolverNlp::~NagSolverNlp

(

)

[virtual]

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Member Function Documentation

const callback_t& roboptim::NagSolverNlp::callback

(

)

const [inline]

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

void roboptim::NagSolverNlp::setIterationCallback

(

callback_t

callback

)

[inline]

void roboptim::NagSolverNlp::solve

(

)

Solve the problem.

References roboptim::detail::confun(), and roboptim::detail::objfun().

solverState_t& roboptim::NagSolverNlp::solverState

(

)

[inline]

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