madness::SteepestDescent Class Reference

Unconstrained minimization via steepest descent. More...

#include <solvers.h>

Inheritance diagram for madness::SteepestDescent:

Collaboration diagram for madness::SteepestDescent:

Public Member Functions
	SteepestDescent (const std::shared_ptr< OptimizationTargetInterface > &tar, double tol=1e-6, double value_precision=1e-12, double gradient_precision=1e-12)
virtual	~SteepestDescent ()
bool	converged () const
double	gradient_norm () const
bool	optimize (Tensor< double > &x)
double	value () const
Public Member Functions inherited from madness::OptimizerInterface
virtual	~OptimizerInterface ()

Private Attributes
double	f
double	gnorm
std::shared_ptr< OptimizationTargetInterface >	target
const double	tol

Detailed Description

Unconstrained minimization via steepest descent.

Constructor & Destructor Documentation

SteepestDescent()

SteepestDescent::SteepestDescent	(	const std::shared_ptr< OptimizationTargetInterface > &	tar,
		double	tol = 1e-6,
		double	value_precision = 1e-12,
		double	gradient_precision = 1e-12
	)

References target.

~SteepestDescent()

virtual madness::SteepestDescent::~SteepestDescent ( )

inlinevirtual

Member Function Documentation

converged()

bool SteepestDescent::converged ( ) const

virtual

Implements madness::OptimizerInterface.

References gnorm, and tol.

Referenced by optimize().

gradient_norm()

double SteepestDescent::gradient_norm ( ) const

virtual

Implements madness::OptimizerInterface.

References gnorm.

optimize()

bool SteepestDescent::optimize ( Tensor< double > &  x )

virtual

Implements madness::OptimizerInterface.

References converged(), f, madness::g, madness::Tensor< T >::gaxpy(), gnorm, madness::print(), and target.

value()

double SteepestDescent::value ( ) const

virtual

Implements madness::OptimizerInterface.

References f.

Member Data Documentation

f

double madness::SteepestDescent::f

private

Referenced by optimize(), and value().

gnorm

double madness::SteepestDescent::gnorm

private

Referenced by converged(), gradient_norm(), and optimize().

target

std::shared_ptr<OptimizationTargetInterface> madness::SteepestDescent::target

private

Referenced by SteepestDescent(), and optimize().

tol

const double madness::SteepestDescent::tol

private

Referenced by converged().

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The documentation for this class was generated from the following files:

• solvers.h
• solvers.cc