/usr/include/trilinos/ROL_FreudensteinRoth.hpp is in libtrilinos-rol-dev 12.10.1-3.
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// ************************************************************************
//
// Rapid Optimization Library (ROL) Package
// Copyright (2014) Sandia Corporation
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/** \file
\brief Contains definitions for Freudenstein and Roth's function.
\author Created by D. Ridzal and D. Kouri.
*/
#ifndef USE_HESSVEC
#define USE_HESSVEC 1
#endif
#ifndef ROL_FREUDENSTEINROTH_HPP
#define ROL_FREUDENSTEINROTH_HPP
#include "ROL_StdVector.hpp"
#include "ROL_Objective.hpp"
namespace ROL {
namespace ZOO {
/** \brief Freudenstein and Roth's function.
*/
template<class Real>
class Objective_FreudensteinRoth : public Objective<Real> {
public:
Objective_FreudensteinRoth() {}
Real value( const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const StdVector<Real> >(x).getVector();
Real f1 = -13.0 + (*ex)[0] + ((5.0-(*ex)[1])*(*ex)[1] - 2.0)*(*ex)[1];
Real f2 = -29.0 + (*ex)[0] + (((*ex)[1]+1.0)*(*ex)[1] - 14.0)*(*ex)[1];
return f1*f1+f2*f2;
}
void gradient( Vector<Real> &g, const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<std::vector<Real> > eg
= Teuchos::dyn_cast<StdVector<Real> >(g).getVector();
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const StdVector<Real> >(x).getVector();
Real f1 = -13.0 + (*ex)[0] + ((5.0-(*ex)[1])*(*ex)[1] - 2.0)*(*ex)[1];
Real f2 = -29.0 + (*ex)[0] + (((*ex)[1]+1.0)*(*ex)[1] - 14.0)*(*ex)[1];
Real f11 = 1.0;
Real f12 = 10.0*(*ex)[1] - 3.0*(*ex)[1]*(*ex)[1] - 2.0;
Real f21 = 1.0;
Real f22 = 3.0*(*ex)[1]*(*ex)[1] + 2.0*(*ex)[1] - 14.0;
(*eg)[0] = 2.0*(f11*f1 + f21*f2);
(*eg)[1] = 2.0*(f12*f1 + f22*f2);
}
#if USE_HESSVEC
void hessVec( Vector<Real> &hv, const Vector<Real> &v, const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<std::vector<Real> > ehv
= Teuchos::dyn_cast<StdVector<Real> >(hv).getVector();
Teuchos::RCP<const std::vector<Real> > ev
= Teuchos::dyn_cast<const StdVector<Real> >(v).getVector();
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const StdVector<Real> >(x).getVector();
Real f1 = -13.0 + (*ex)[0] + ((5.0-(*ex)[1])*(*ex)[1] - 2.0)*(*ex)[1];
Real f2 = -29.0 + (*ex)[0] + (((*ex)[1]+1.0)*(*ex)[1] - 14.0)*(*ex)[1];
Real f11 = 1.0;
Real f12 = 10.0*(*ex)[1] - 3.0*(*ex)[1]*(*ex)[1] - 2.0;
Real f21 = 1.0;
Real f22 = 3.0*(*ex)[1]*(*ex)[1] + 2.0*(*ex)[1] - 14.0;
Real f122 = 10.0 - 6.0*(*ex)[1];
Real f222 = 6.0*(*ex)[1] + 2.0;
Real h11 = 2.0*(f11*f11) + 2.0*(f21*f21);
Real h12 = 2.0*(f12*f11) + 2.0*(f22*f21);
Real h22 = 2.0*(f122*f1 + f12*f12) + 2.0*(f222*f2 + f22*f22);
(*ehv)[0] = h11*(*ev)[0] + h12*(*ev)[1];
(*ehv)[1] = h12*(*ev)[0] + h22*(*ev)[1];
}
#endif
void invHessVec( Vector<Real> &hv, const Vector<Real> &v, const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<std::vector<Real> > ehv
= Teuchos::dyn_cast<StdVector<Real> >(hv).getVector();
Teuchos::RCP<const std::vector<Real> > ev
= Teuchos::dyn_cast<const StdVector<Real> >(v).getVector();
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const StdVector<Real> >(x).getVector();
Real f1 = -13.0 + (*ex)[0] + ((5.0-(*ex)[1])*(*ex)[1] - 2.0)*(*ex)[1];
Real f2 = -29.0 + (*ex)[0] + (((*ex)[1]+1.0)*(*ex)[1] - 14.0)*(*ex)[1];
Real f11 = 1.0;
Real f12 = 10.0*(*ex)[1] - 3.0*(*ex)[1]*(*ex)[1] - 2.0;
Real f21 = 1.0;
Real f22 = 3.0*(*ex)[1]*(*ex)[1] + 2.0*(*ex)[1] - 14.0;
Real f122 = 10.0 - 6.0*(*ex)[1];
Real f222 = 6.0*(*ex)[1] + 2.0;
Real h11 = 2.0*(f11*f11) + 2.0*(f21*f21);
Real h12 = 2.0*(f12*f11) + 2.0*(f22*f21);
Real h22 = 2.0*(f122*f1 + f12*f12) + 2.0*(f222*f2 + f22*f22);
(*ehv)[0] = (1.0/(h11*h22-h12*h12))*( h22*(*ev)[0] - h12*(*ev)[1]);
(*ehv)[1] = (1.0/(h11*h22-h12*h12))*(-h12*(*ev)[0] + h11*(*ev)[1]);
}
};
template<class Real>
void getFreudensteinRoth( Teuchos::RCP<Objective<Real> > &obj,
Teuchos::RCP<Vector<Real> > &x0,
Teuchos::RCP<Vector<Real> > &x ) {
// Problem dimension
int n = 2;
// Get Initial Guess
Teuchos::RCP<std::vector<Real> > x0p = Teuchos::rcp(new std::vector<Real>(n,0.0));
(*x0p)[0] = 0.5; (*x0p)[1] = -2.0;
x0 = Teuchos::rcp(new StdVector<Real>(x0p));
// Get Solution
Teuchos::RCP<std::vector<Real> > xp = Teuchos::rcp(new std::vector<Real>(n,0.0));
(*xp)[0] = 5.0; (*xp)[1] = 4.0;
x = Teuchos::rcp(new StdVector<Real>(xp));
// Instantiate Objective Function
obj = Teuchos::rcp(new Objective_FreudensteinRoth<Real>);
}
} // End ZOO Namespace
} // End ROL Namespace
#endif
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