URANIE::Reoptimizer::TNloptGradient Class Reference

#include <TNloptGradient.h>

Inheritance diagram for URANIE::Reoptimizer::TNloptGradient:

Collaboration diagram for URANIE::Reoptimizer::TNloptGradient:

Classes
class	NeedAGradientAttribute

Public Member Functions
	TNloptGradient (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, TNloptSolver *algo)
	TNloptGradient (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TEval *fun, TNloptSolver *algo)
virtual	~TNloptGradient ()
virtual void	addObjective (URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
void	addObjective (URANIE::DataServer::TAttribute *, URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
virtual void	addConstraint (URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
void	addConstraint (URANIE::DataServer::TAttribute *, URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
void	addEquality (URANIE::DataServer::TAttribute *, URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
int	critere (struct nlopt_work *, const double *ini, double *out, double *grad)
int	inequality (struct nlopt_work *, const double *in, double *out, double *grad)
int	equality (struct nlopt_work *, const double *in, double *out, double *grad)
void	run (struct nlopt_work *)
Public Member Functions inherited from URANIE::Reoptimizer::TNloptShare
	TNloptShare (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, TNloptSolver *algo)
	TNloptShare (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TEval *fun, TNloptSolver *algo)
virtual	~TNloptShare ()
void	setStartingPoint (double *pt)
void	setStartingPoint (int nb, double *pt)
void	setMaximumEval (int max)
void	run (struct nlopt_work *)
int	getReturnOptim ()
int	getNStartingPoint ()
virtual void	solverLoop ()
Public Member Functions inherited from URANIE::Reoptimizer::TOptimShare
	TOptimShare (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run)
	TOptimShare (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TEval *fun)
virtual	~TOptimShare ()
void	addConstraint (URANIE::DataServer::TAttribute *, TOptimFit *f=NULL)
void	setTolerance (double prec)
	Set the mono precision stop threshold.
double	getTolerance ()
void	setTrace (URANIE::DataServer::TDataServer *tds)
void	setLog ()
void	unsetLog ()
void	changeLog ()
Bool_t	getLog ()

Protected Member Functions
void	gradFromCode (double *code, double *solv)
void	buildSolver (int siz, struct nlopt_work *)
void	cleanSolver (struct nlopt_work *)
void	put (struct nlopt_work *, Bool_t, const double *)
virtual int	get (long &)
Protected Member Functions inherited from URANIE::Reoptimizer::TNloptShare
virtual void	build ()
void	solver (struct nlopt_work *, int, double *, vector< URANIE::DataServer::UEntry * > &, vector< URANIE::DataServer::UEntry * > &, vector< URANIE::DataServer::UEntry * > &)
void	calcul (struct nlopt_work *, Bool_t, const double *)
void	fillOptimum (struct nlopt_work *)
void	fill (struct nlopt_work *, URANIE::DataServer::TDataServer *tds, int id)
Protected Member Functions inherited from URANIE::Reoptimizer::TOptimShare
void	initTrace ()

Additional Inherited Members
Public Attributes inherited from URANIE::Reoptimizer::TNloptShare
int	_retOptim
Protected Attributes inherited from URANIE::Reoptimizer::TNloptShare
TFitGetter *	_crit
TObjArray	_equal
TNloptSolver *	_solv
std::vector< double * >	_guess
int	_id
int	_max
std::vector< std::vector< URANIE::DataServer::UEntry * > >	_codi
std::vector< std::vector< URANIE::DataServer::UEntry * > >	_codo
std::vector< std::vector< URANIE::DataServer::UEntry * > >	_codg
Protected Attributes inherited from URANIE::Reoptimizer::TOptimShare
double	_prec
TObjArray	_const
URANIE::DataServer::TDataServer *	_tdstrc
int	_idtrc
Bool_t	_blog

Constructor & Destructor Documentation

TNloptGradient() [1/2]

URANIE::Reoptimizer::TNloptGradient::TNloptGradient	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Relauncher::TRun *	run,
		TNloptSolver *	algo
	)

TNloptGradient() [2/2]

URANIE::Reoptimizer::TNloptGradient::TNloptGradient	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Relauncher::TEval *	fun,
		TNloptSolver *	algo
	)

~TNloptGradient()

URANIE::Reoptimizer::TNloptGradient::~TNloptGradient ( )

virtual

Member Function Documentation

addConstraint() [1/2]

void URANIE::Reoptimizer::TNloptGradient::addConstraint ( URANIE::DataServer::TAttribute *  cnt, TOptimFit *  f = NULL  )

virtual

addConstraint() [2/2]

void URANIE::Reoptimizer::TNloptGradient::addConstraint	(	URANIE::DataServer::TAttribute *	cnt,
		URANIE::DataServer::TAttribute *	grd,
		TOptimFit *	f = NULL
	)

References URANIE::Reoptimizer::TOptimShare::_const.

addEquality()

void URANIE::Reoptimizer::TNloptGradient::addEquality	(	URANIE::DataServer::TAttribute *	obj,
		URANIE::DataServer::TAttribute *	grd,
		TOptimFit *	f = NULL
	)

References URANIE::Reoptimizer::TNloptShare::_equal.

addObjective() [1/2]

void URANIE::Reoptimizer::TNloptGradient::addObjective ( URANIE::DataServer::TAttribute *  obj, TOptimFit *  f = NULL  )

virtual

Implements URANIE::Reoptimizer::TOptimShare.

addObjective() [2/2]

void URANIE::Reoptimizer::TNloptGradient::addObjective	(	URANIE::DataServer::TAttribute *	obj,
		URANIE::DataServer::TAttribute *	grad,
		TOptimFit *	f = NULL
	)

References URANIE::Reoptimizer::TNloptShare::_crit.

buildSolver()

void URANIE::Reoptimizer::TNloptGradient::buildSolver ( int  siz, struct nlopt_work *  opt  )

protectedvirtual

Implements URANIE::Reoptimizer::TNloptShare.

References URANIE::Reoptimizer::TNloptShare::_codi, URANIE::Reoptimizer::TNloptShare::_codo, URANIE::Reoptimizer::TNloptShare::_guess, and URANIE::Reoptimizer::TNloptShare::solver().

cleanSolver()

void URANIE::Reoptimizer::TNloptGradient::cleanSolver ( struct nlopt_work *  opt )

protectedvirtual

Implements URANIE::Reoptimizer::TNloptShare.

critere()

int URANIE::Reoptimizer::TNloptGradient::critere ( struct nlopt_work *  work, const double *  ini, double *  out, double *  grad  )

virtual

Implements URANIE::Reoptimizer::TNloptShare.

References URANIE::Reoptimizer::TNloptShare::_crit, URANIE::Reoptimizer::TNloptShare::calcul(), URANIE::Reoptimizer::TFitGetter::from(), and gradFromCode().

equality()

int URANIE::Reoptimizer::TNloptGradient::equality ( struct nlopt_work *  work, const double *  in, double *  out, double *  grad  )

virtual

Implements URANIE::Reoptimizer::TNloptShare.

References URANIE::Reoptimizer::TNloptShare::_equal, URANIE::Reoptimizer::TNloptShare::calcul(), URANIE::Reoptimizer::TFitGetter::from(), and gradFromCode().

get()

int URANIE::Reoptimizer::TNloptGradient::get ( long &  id )

protectedvirtual

Implements URANIE::Reoptimizer::TNloptShare.

gradFromCode()

void URANIE::Reoptimizer::TNloptGradient::gradFromCode ( double *  code, double *  solv  )

protected

Referenced by critere(), equality(), and inequality().

inequality()

int URANIE::Reoptimizer::TNloptGradient::inequality ( struct nlopt_work *  work, const double *  in, double *  out, double *  grad  )

virtual

Implements URANIE::Reoptimizer::TNloptShare.

References URANIE::Reoptimizer::TOptimShare::_const, URANIE::Reoptimizer::TNloptShare::calcul(), URANIE::Reoptimizer::TFitGetter::from(), and gradFromCode().

put()

void URANIE::Reoptimizer::TNloptGradient::put ( struct nlopt_work *  self, Bool_t  grad, const double *  in  )

protectedvirtual

Implements URANIE::Reoptimizer::TNloptShare.

run()

void URANIE::Reoptimizer::TNloptGradient::run

(

struct nlopt_work *

)