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// Rapid Optimization Library (ROL) Package
// Copyright (2014) Sandia Corporation
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/** \file
\brief Contains definitions for W. Hock and K. Schittkowski 25th test function.
\author Created by D. Ridzal and D. Kouri.
*/
#ifndef USE_HESSVEC
#define USE_HESSVEC 1
#endif
#ifndef ROL_HS25_HPP
#define ROL_HS25_HPP
#include "ROL_ScaledStdVector.hpp"
#include "ROL_Objective.hpp"
#include "ROL_BoundConstraint.hpp"
#include "ROL_Types.hpp"
namespace ROL {
namespace ZOO {
/** \brief W. Hock and K. Schittkowski 25th test function.
*/
template<class Real>
class Objective_HS25 : public Objective<Real> {
typedef typename std::vector<Real>::size_type uint;
private:
std::vector<Real> u_vec_;
uint u_size_;
public:
Objective_HS25() {
u_size_ = 99;
for ( uint i = 0; i < u_size_; i++ ) {
u_vec_.push_back(static_cast<Real>(25)
+ std::pow((static_cast<Real>(-50)
*std::log(static_cast<Real>(0.01)*static_cast<Real>(i+1))),
static_cast<Real>(2)/static_cast<Real>(3)));
}
}
Real value( const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const PrimalScaledStdVector<Real> >(x).getVector();
Real val(0), f(0), u(0);
Real x1 = (*ex)[0], x2 = (*ex)[1], x3 = (*ex)[2];
for ( uint i = 0; i < u_size_; i++ ) {
u = u_vec_[i];
f = -static_cast<Real>(0.01)*static_cast<Real>(i+1)
+ std::exp(-std::pow(u-x2,x3)/x1);
val += f*f;
}
return val;
}
void gradient( Vector<Real> &g, const Vector<Real> &x, Real &tol ) {
Teuchos::RCP<std::vector<Real> > eg
= Teuchos::dyn_cast<DualScaledStdVector<Real> >(g).getVector();
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const PrimalScaledStdVector<Real> >(x).getVector();
g.zero();
Real f(0), df1(0), df2(0), df3(0);
Real u(0), tmp(0), tmp0(0), tmp1(0);
Real x1 = (*ex)[0], x2 = (*ex)[1], x3 = (*ex)[2];
Real x1sqr = x1*x1;
for ( uint i = 0; i < u_size_; i++ ) {
u = u_vec_[i];
tmp0 = std::pow(u-x2,x3);
tmp1 = std::pow(u-x2,x3-static_cast<Real>(1));
tmp = std::exp(-tmp0/x1);
f = -static_cast<Real>(0.01)*static_cast<Real>(i+1) + tmp;
df1 = tmp*tmp0/x1sqr;
df2 = tmp*x3*tmp1/x1;
df3 = tmp*tmp0*std::log(u-x2)/x1;
(*eg)[0] += static_cast<Real>(2)*f*df1;
(*eg)[1] += static_cast<Real>(2)*f*df2;
(*eg)[2] += static_cast<Real>(2)*f*df3;
}
}
#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<DualScaledStdVector<Real> >(hv).getVector();
Teuchos::RCP<const std::vector<Real> > ev
= Teuchos::dyn_cast<const PrimalScaledStdVector<Real> >(v).getVector();
Teuchos::RCP<const std::vector<Real> > ex
= Teuchos::dyn_cast<const PrimalScaledStdVector<Real> >(x).getVector();
hv.zero();
Real f(0);
Real df1(0), df2(0), df3(0);
Real df11(0), df12(0), df13(0);
Real df21(0), df22(0), df23(0);
Real df31(0), df32(0), df33(0);
Real u(0), tmp(0), tmp0(0), tmp1(0), tmp2(0), tmp3(0), tmp4(0);
Real x1 = (*ex)[0], x2 = (*ex)[1], x3 = (*ex)[2];
Real v1 = (*ev)[0], v2 = (*ev)[1], v3 = (*ev)[2];
Real x1sqr = x1*x1, x1cub = x1sqr*x1, x1quar = x1cub*x1;
for ( uint i = 0; i < u_size_; i++ ) {
u = u_vec_[i];
tmp0 = std::pow(u-x2,x3);
tmp1 = std::pow(u-x2,x3-static_cast<Real>(1));
tmp2 = std::pow(u-x2,static_cast<Real>(2)*(x3-static_cast<Real>(1)));
tmp3 = std::pow(u-x2,x3-static_cast<Real>(2));
tmp4 = std::pow(u-x2,static_cast<Real>(2)*x3-static_cast<Real>(1));
tmp = std::exp(-tmp0/x1);
f = -static_cast<Real>(0.01)*static_cast<Real>(i+1) + tmp;
df1 = tmp*tmp0/x1sqr;
df2 = tmp*x3*tmp1/x1;
df3 = tmp*tmp0*std::log(u-x2)/x1;
df11 = tmp0*tmp*(tmp0-static_cast<Real>(2)*x1)/x1quar;
df12 = x3*tmp1*tmp*(tmp0-x1)/x1cub;
df13 = tmp0*std::log(u-x2)*tmp*(x1-tmp0)/x1cub;
df21 = df12;
df22 = x3*x3*tmp2*tmp/(x1*x1)
-(x3-static_cast<Real>(1))*x3*tmp3*tmp/x1;
df23 = -x3*tmp4*std::log(u-x2)*tmp/x1sqr
+tmp1*tmp/x1 + x3*tmp1*std::log(u-x2)*tmp/x1;
df31 = df13;
df32 = df23;
df33 = tmp0*std::pow(std::log(u-x2),2)*tmp*(tmp0-x1)/x1sqr;
(*ehv)[0] += static_cast<Real>(2)*(f*(df11*v1 + df12*v2 + df13*v3)
+ df1*(df1*v1 + df2*v2 + df3*v3));
(*ehv)[1] += static_cast<Real>(2)*(f*(df21*v1 + df22*v2 + df23*v3)
+ df2*(df1*v1 + df2*v2 + df3*v3));
(*ehv)[2] += static_cast<Real>(2)*(f*(df31*v1 + df32*v2 + df33*v3)
+ df3*(df1*v1 + df2*v2 + df3*v3));
}
}
#endif
};
template<class Real>
void getHS25( Teuchos::RCP<Objective<Real> > &obj,
Teuchos::RCP<BoundConstraint<Real> > &con,
Teuchos::RCP<Vector<Real> > &x0,
Teuchos::RCP<Vector<Real> > &x ) {
// Problem dimension
int n = 3;
// Set up vector scaling
Teuchos::RCP<std::vector<Real> > scale = Teuchos::rcp(new std::vector<Real>(n,0));
(*scale)[0] = static_cast<Real>(1.e-4);
(*scale)[1] = static_cast<Real>(1.e-2);
(*scale)[2] = static_cast<Real>(1);
// Get Initial Guess
Teuchos::RCP<std::vector<Real> > x0p = Teuchos::rcp(new std::vector<Real>(n,0));
(*x0p)[0] = static_cast<Real>(100);
(*x0p)[1] = static_cast<Real>(12.5);
(*x0p)[2] = static_cast<Real>(3);
x0 = Teuchos::rcp(new PrimalScaledStdVector<Real>(x0p,scale));
// Get Solution
Teuchos::RCP<std::vector<Real> > xp = Teuchos::rcp(new std::vector<Real>(n,0));
(*xp)[0] = static_cast<Real>(50);
(*xp)[1] = static_cast<Real>(25);
(*xp)[2] = static_cast<Real>(1.5);
x = Teuchos::rcp(new PrimalScaledStdVector<Real>(xp,scale));
// Instantiate Objective Function
obj = Teuchos::rcp(new Objective_HS25<Real>);
// Instantiate BoundConstraint
Teuchos::RCP<std::vector<Real> > lp = Teuchos::rcp(new std::vector<Real>(n,0));
(*lp)[0] = static_cast<Real>(0.1);
(*lp)[1] = static_cast<Real>(0);
(*lp)[2] = static_cast<Real>(0);
Teuchos::RCP<Vector<Real> > l = Teuchos::rcp(new StdVector<Real>(lp));
Teuchos::RCP<std::vector<Real> > up = Teuchos::rcp(new std::vector<Real>(n,0));
(*up)[0] = static_cast<Real>(100);
(*up)[1] = static_cast<Real>(25.6);
(*up)[2] = static_cast<Real>(5);
Teuchos::RCP<Vector<Real> > u = Teuchos::rcp(new StdVector<Real>(up));
con = Teuchos::rcp(new BoundConstraint<Real>(l,u));
}
} // End ZOO Namespace
} // End ROL Namespace
#endif
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