Configuration for FRPR conjugate gradient method. More...

#include <MathOpt_FRPR.hxx>

Inheritance diagram for MathOpt::FRPRConfig:

Public Member Functions
	FRPRConfig ()=default
	Default constructor.

	FRPRConfig (double theTolerance, int theMaxIter=100)
	Constructor with tolerance.

Public Member Functions inherited from MathUtils::Config
	Config ()=default
	Default constructor with standard tolerances.

	Config (double theTolerance, int theMaxIter=100)
	Constructor with custom tolerance (sets all tolerances to same value).

Data Fields
ConjugateGradientFormula	Formula = ConjugateGradientFormula::PolakRibiere
	Beta formula.

int	RestartInterval = 0
	Restart every N iterations (0 = n, where n is dimension)

Data Fields inherited from MathUtils::Config
int	MaxIterations = 100
	Maximum number of iterations allowed.

double	Tolerance = 1.0e-10
	General convergence tolerance.

double	XTolerance = 1.0e-10
	Tolerance for solution change \|x_{n+1} - x_n\|.

double	FTolerance = 1.0e-10
	Tolerance for function value \|f(x)\|.

double	StepMin = std::numeric_limits<double>::epsilon()
	Minimum step size before declaring convergence or failure.

Detailed Description

Configuration for FRPR conjugate gradient method.

Constructor & Destructor Documentation

MathOpt::FRPRConfig::FRPRConfig ( )

default

Default constructor.

MathOpt::FRPRConfig::FRPRConfig	(	double	theTolerance,
		int	theMaxIter = 100 )

inlineexplicit

Constructor with tolerance.

Beta formula.

int MathOpt::FRPRConfig::RestartInterval = 0

Restart every N iterations (0 = n, where n is dimension)

The documentation for this struct was generated from the following file: