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// ***********************************************************************
//
// Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
// Copyright (2003) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 2.1 of the
// License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
// USA
// Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov)
//
// ***********************************************************************
// @HEADER
#ifndef MERIT_FUNC_CALC_NLE_H
#define MERIT_FUNC_CALC_NLE_H
#include "ConstrainedOptPack_MeritFuncCalc.hpp"
#include "ConstrainedOptPack_MeritFuncNLE.hpp"
#include "StandardAggregationMacros.hpp"
namespace ConstrainedOptPack {
/** \brief Adds the ability to compute phi(c(x)) at x
* directly instead of having to compute c first.
* This class uses an aggregate NLP to perform the computations of c(x).
*/
class MeritFuncCalcNLE : public MeritFuncCalc {
public:
/// <<std aggr>> stereotype members for phi.
STANDARD_CONST_AGGREGATION_MEMBERS( MeritFuncNLE, phi )
/// <<std aggr>> stereotype members for nlp.
STANDARD_CONST_AGGREGATION_MEMBERS( NLP, nlp )
/** \brief . */
MeritFuncCalcNLE( const MeritFuncNLE* phi = 0, const NLP* nlp = 0 );
// ////////////////////////////////////////////
// Overridden from MeritFuncCalc
/** \brief Return the value of the merit function at x.
* Here phi(x) is calculated directly using the nlp.
*/
value_type operator()(const Vector& x) const;
/// Calls phi().deriv() on phi.
value_type deriv() const;
/// Calls phi().print_merit_func(....).
void print_merit_func(std::ostream& out
, const std::string& leading_str) const;
}; // end class MeritFuncCalcNLE
} // end namespace ConstrainedOptPack
#endif // MERIT_FUNC_CALC_NLE_H
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