Perform BFGS updates on full reduced Hessian. More...

#include <MoochoPack_ReducedHessianSecantUpdateBFGSFull_Strategy.hpp>

Inheritance diagram for MoochoPack::ReducedHessianSecantUpdateBFGSFull_Strategy:

Public Member Functions
	STANDARD_COMPOSITION_MEMBERS (BFGSUpdate_Strategy, bfgs_update)
	<<std comp>="">> members for the strategy object that will perform guts secant update. More...

	ReducedHessianSecantUpdateBFGSFull_Strategy (const bfgs_update_ptr_t &bfgs_update=Teuchos::null)

Public Member Functions inherited from MoochoPack::ReducedHessianSecantUpdate_Strategy
virtual	~ReducedHessianSecantUpdate_Strategy ()

Private Attributes
quasi_newton_stats_iq_member	quasi_newton_stats_

Overridden from ReducedHessianSecantUpdate_Strategy
bool	perform_update (VectorMutable s_bfgs, VectorMutable y_bfgs, bool first_update, std::ostream &out, EJournalOutputLevel olevel, NLPAlgo algo, NLPAlgoState s, MatrixSymOp *rHL_k)

void	print_step (std::ostream &out, const std::string &leading_str) const

Detailed Description

Perform BFGS updates on full reduced Hessian.

This is really a do nothing class that just uses a strategy object (see #bfgs_update# below) to perform the update on the full reduced hessian matrix.

Definition at line 58 of file MoochoPack_ReducedHessianSecantUpdateBFGSFull_Strategy.hpp.

Constructor & Destructor Documentation

MoochoPack::ReducedHessianSecantUpdateBFGSFull_Strategy::ReducedHessianSecantUpdateBFGSFull_Strategy ( const bfgs_update_ptr_t & bfgs_update = Teuchos::null )

Definition at line 48 of file MoochoPack_ReducedHessianSecantUpdateBFGSFull_Strategy.cpp.

Member Function Documentation

MoochoPack::ReducedHessianSecantUpdateBFGSFull_Strategy::STANDARD_COMPOSITION_MEMBERS	(	BFGSUpdate_Strategy	,
		bfgs_update
	)

<<std comp>="">> members for the strategy object that will perform guts secant update.

bool MoochoPack::ReducedHessianSecantUpdateBFGSFull_Strategy::perform_update	(	VectorMutable *	s_bfgs,
		VectorMutable *	y_bfgs,
		bool	first_update,
		std::ostream &	out,
		EJournalOutputLevel	olevel,
		NLPAlgo *	algo,
		NLPAlgoState *	s,
		MatrixSymOp *	rHL_k
	)