TOptimizerOpt.cxx File Reference

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

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

(

)

if()

if

(

!

m

)

Referenced by vzrcint_free(), and vzrprog_free().

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(), and UranieOptimizerOptInteractiveMethod().

dddResult

Double_t dddResult

fx

fx = valOut[0]

Referenced by UranieOptimizerOptInteractiveMethod().

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()

gOptOptimizer

URANIE::Optimizer::TOptimizerOpt* gOptOptimizer

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

result

result = NLPFunction

Referenced by ClassImp(), and UranieOptimizerOptInteractiveMethod().

valInp

valInp = new Double_t[n]

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

valOut

valOut = new Double_t[1]

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

x

NEWMAT::ColumnVector& x

Initial value:

{
    cout << endl << endl << "*************************************************"
            << endl

Referenced by ClassImp(), and UranieOptimizerOptInteractiveMethod().