/usr/include/trilinos/ROL_TruncatedMeanQuadrangle.hpp is in libtrilinos-rol-dev 12.10.1-3.
This file is owned by root:root, with mode 0o644.
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// ************************************************************************
//
// Rapid Optimization Library (ROL) Package
// Copyright (2014) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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// @HEADER
#ifndef ROL_TRUNCATEDMEANQUAD_HPP
#define ROL_TRUNCATEDMEANQUAD_HPP
#include "ROL_ExpectationQuad.hpp"
namespace ROL {
template<class Real>
class TruncatedMeanQuadrangle : public ExpectationQuad<Real> {
private:
Real beta_;
void checkInputs(void) const {
Real zero(0);
TEUCHOS_TEST_FOR_EXCEPTION((beta_ <= zero), std::invalid_argument,
">>> ERROR (ROL::TruncatedMeanQuadrangle): Threshold must be positive!");
}
public:
TruncatedMeanQuadrangle(Real beta)
: ExpectationQuad<Real>(), beta_(beta) {
checkInputs();
}
TruncatedMeanQuadrangle(Teuchos::ParameterList &parlist)
: ExpectationQuad<Real>() {
Teuchos::ParameterList &list
= parlist.sublist("SOL").sublist("Risk Measure").sublist("Truncated Mean Quadrangle");
beta_ = list.get<Real>("Threshold");
checkInputs();
}
Real error(Real x, int deriv = 0) {
bool inside = ( std::abs(x) ? true : false );
Real err(0), zero(0), half(0.5), one(1), two(2);
if (deriv==0) {
err = (inside ? half*std::pow(x,two)/beta_ : std::abs(x)-half*beta_);
}
else if (deriv==1) {
err = (inside ? x/beta_ : ((zero < x) - (x < zero)));
}
else {
err = (inside ? one/beta_ : zero);
}
return err;
}
Real regret(Real x, int deriv = 0) {
Real zero(0), one(1);
Real X = ((deriv==0) ? x : ((deriv==1) ? one : zero));
Real reg = error(x,deriv) + X;
return reg;
}
void checkRegret(void) {
ExpectationQuad<Real>::checkRegret();
// Check v'(beta)
Real x = beta_, zero(0), one(1), two(2), p1(0.1);
Real vx = zero, vy = zero;
Real dv = regret(x,1);
Real t = one;
Real diff = zero;
Real err = zero;
std::cout << std::right << std::setw(20) << "CHECK REGRET: v'(beta) is correct? \n";
std::cout << std::right << std::setw(20) << "t"
<< std::setw(20) << "v'(x)"
<< std::setw(20) << "(v(x+t)-v(x-t))/2t"
<< std::setw(20) << "Error"
<< "\n";
for (int i = 0; i < 13; i++) {
vy = regret(x+t,0);
vx = regret(x-t,0);
diff = (vy-vx)/(two*t);
err = std::abs(diff-dv);
std::cout << std::scientific << std::setprecision(11) << std::right
<< std::setw(20) << t
<< std::setw(20) << dv
<< std::setw(20) << diff
<< std::setw(20) << err
<< "\n";
t *= p1;
}
std::cout << "\n";
// Check v'(-beta)
x = -beta_;
vx = zero;
vy = zero;
dv = regret(x,1);
t = one;
diff = zero;
err = zero;
std::cout << std::right << std::setw(20) << "CHECK REGRET: v'(-beta) is correct? \n";
std::cout << std::right << std::setw(20) << "t"
<< std::setw(20) << "v'(x)"
<< std::setw(20) << "(v(x+t)-v(x-t))/2t"
<< std::setw(20) << "Error"
<< "\n";
for (int i = 0; i < 13; i++) {
vy = regret(x+t,0);
vx = regret(x-t,0);
diff = (vy-vx)/(two*t);
err = std::abs(diff-dv);
std::cout << std::scientific << std::setprecision(11) << std::right
<< std::setw(20) << t
<< std::setw(20) << dv
<< std::setw(20) << diff
<< std::setw(20) << err
<< "\n";
t *= p1;
}
std::cout << "\n";
}
};
}
#endif
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