Implementation of the class URANIE::Optimizer::TOptimizerOpt. More...

#include "TSystem.h"
#include "TOptimizerOpt.h"
#include "UExceptions.h"
#include "NLP.h"
#include "NLF.h"
#include "OptNewton.h"
#include "OptNIPS.h"
#include "OptPDS.h"
#include "OptppExceptions.h"
#include <dlfcn.h>

Include dependency graph for TOptimizerOpt.cxx:

Namespaces
namespace	URANIE
	Rosenbrock's function (n=2) with first and second order derivatives.

namespace	URANIE::Optimizer

Functions
	ClassImp (URANIE::Optimizer::TOptimizerOpt) void init_eqm(int ndim

cout<< "**** init_eqm - Dim["<< ndim<< "]"<< endl;for(int i=1;i<=ndim;i++) { x(i)=-1.0+2.0 rand()/(RAND_MAX+1.0);cout<< "* i["<< i<< "] x["<< x(i)<< "] "<< endl;} cout<< endl<< "**********************************************"<< endl;}void update_model(int, int, NEWMAT::ColumnVector){}void UranieOptimizerOptInteractiveMethod0(int n, const NEWMAT::ColumnVector &x, double &fx, int &result){ TMethodCall m=gOptOptimizer->	getMethodCall ()

	if (!m) return

	for (Int_t i=0;i< n;i++) valInp[i]

m	SetParamPtrs (args, 3)

m	Execute (dddResult)

gOptOptimizer	incrementIteration ()

cout<< "** Iter["<< gOptOptimizer->	getIteration ()<< "] -- fx["<< fx<< "]"<< endl

void	UranieOptimizerOptInteractiveMethod (int n, int mode, const NEWMAT::ColumnVector &x, real &fx, NEWMAT::ColumnVector &g, NEWMAT::SymmetricMatrix &H, int &result)

Variables
URANIE::Optimizer::TOptimizerOpt *	gOptOptimizer

NEWMAT::ColumnVector &	x

Double_t *	valInp = new Double_t[n]

Double_t *	valOut = new Double_t[1]

Long_t	args [3] = (Long_t) n

Double_t	dddResult

	fx = valOut[0]

	result = NLPFunction

Detailed Description

Implementation of the class URANIE::Optimizer::TOptimizerOpt.

Author: Fabrice Gaudier fabri.nosp@m.ce.g.nosp@m.audie.nosp@m.r@ce.nosp@m.a.fr

Date: thu jan 3 14:06:39 CET 2008

Function Documentation

◆ ClassImp()

ClassImp ( URANIE::Optimizer::TOptimizerOpt )

◆ Execute()

m Execute ( dddResult )

◆ for()

for ( )

◆ getIteration()

cout<< "** Iter["<< gOptOptimizer-> getIteration ( )

◆ getMethodCall()

cout<< "**** init_eqm - Dim["<< ndim<< "]"<< endl; for(int i=1;i<=ndim;i++) { x(i)=-1.0+2.0 *rand()/(RAND_MAX+1.0); cout<< "** i["<< i<< "] x["<< x(i)<< "] **"<< endl; } cout<< endl<< "*************************************************"<< endl;}void update_model(int, int, NEWMAT::ColumnVector){}void UranieOptimizerOptInteractiveMethod0(int n, const NEWMAT::ColumnVector &x, double &fx, int &result){ TMethodCall *m=gOptOptimizer-> getMethodCall ( )

◆ if()

if ( ! m )

◆ incrementIteration()

gOptOptimizer incrementIteration ( )

◆ SetParamPtrs()

m SetParamPtrs	(	args	,
		3
	)

◆ UranieOptimizerOptInteractiveMethod()

void UranieOptimizerOptInteractiveMethod	(	int	n,
		int	mode,
		const NEWMAT::ColumnVector &	x,
		real &	fx,
		NEWMAT::ColumnVector &	g,
		NEWMAT::SymmetricMatrix &	H,
		int &	result
	)

References args, fx, URANIE::Optimizer::TOptimizerOpt::getMethodCall(), gOptOptimizer, result, and x.

Variable Documentation

◆ args

args[2] = (Long_t) n

Referenced by ClassImp(), ClassImp(), ClassImp(), and UranieOptimizerOptInteractiveMethod().

◆ dddResult

Double_t dddResult

◆ fx

fx = valOut[0]

Referenced by UranieOptimizerOptInteractiveMethod().

◆ gOptOptimizer

URANIE::Optimizer::TOptimizerOpt* gOptOptimizer

Referenced by URANIE::Optimizer::TOptimizerOpt::TOptimizerOpt(), and UranieOptimizerOptInteractiveMethod().

◆ result

result = NLPFunction

Referenced by ClassImp(), ClassImp(), ClassImp(), and UranieOptimizerOptInteractiveMethod().

◆ valInp

valInp = new Double_t[n]

Referenced by URANIE::Optimizer::TOptimizerOpt::run().

◆ valOut

valOut = new Double_t[1]