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// @HEADER
// ************************************************************************
//
//               Rapid Optimization Library (ROL) Package
//                 Copyright (2014) 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.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// 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
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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//
// Questions? Contact lead developers:
//              Drew Kouri   (dpkouri@sandia.gov) and
//              Denis Ridzal (dridzal@sandia.gov)
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// @HEADER

#ifndef ROL_LINEAR_OBJECTIVE_H
#define ROL_LINEAR_OBJECTIVE_H

#include "ROL_Objective.hpp"
#include "ROL_Vector.hpp"
#include "Teuchos_RCP.hpp"

/** @ingroup func_group
    \class ROL::LinearObjective
    \brief Provides the interface to evaluate linear objective functions.

    This class implements the linear objective function
    \f[
       f(x) = \langle c, x\rangle_{\mathcal{X}^*,\mathcal{X}}
    \f]
    for fixed \f$c\in\mathcal{X}^*\f$.

    ---
*/


namespace ROL {

template <class Real>
class LinearObjective : public Objective<Real> {
private:
  const Teuchos::RCP<const Vector<Real> > cost_;

public:
  LinearObjective(const Teuchos::RCP<const Vector<Real> > &cost) : cost_(cost) {}

  Real value( const Vector<Real> &x, Real &tol ) {
    return x.dot(cost_->dual());
  }

  void gradient( Vector<Real> &g, const Vector<Real> &x, Real &tol ) {
    g.set(*cost_);
  }

  void hessVec( Vector<Real> &hv, const Vector<Real> &v, const Vector<Real> &x, Real &tol ) {
    hv.zero();
  }

}; // class LinearObjective

} // namespace ROL

#endif