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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.
//
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// 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
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//              Drew Kouri   (dpkouri@sandia.gov) and
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#ifndef ROL_UPPER_BOUND_INEQUALITY_CONSTRAINT_H
#define ROL_UPPER_BOUND_INEQUALITY_CONSTRAINT_H

#include "ROL_InequalityConstraint.hpp"

/**  @ingroup func_group
     \class ROL::UpperBoundInequalityConstraint 
     \brief Provides an implementation for upper bound inequality constraints.
*/

namespace ROL {

template <class Real>
class UpperBoundInequalityConstraint : public InequalityConstraint<Real> { 
private:
  Teuchos::RCP<Vector<Real> > up_;

public:
  UpperBoundInequalityConstraint(BoundConstraint<Real> &bnd, const Vector<Real> &x) {
    up_ = x.clone();
    bnd.setVectorToUpperBound(*up_);
  }

  UpperBoundInequalityConstraint(const Vector<Real> &up) {
    up_ = up.clone();
    up_->set(up);
  }

  void value(Vector<Real> &c, const Vector<Real> &x, Real &tol) {
    c.set(*up_);
    c.axpy(-1.0,x);
  }

  void applyJacobian(Vector<Real> &jv, const Vector<Real> &v, const Vector<Real> &x, Real &tol) {
    jv.set(v);
    jv.scale(-1.0);
  }

  void applyAdjointJacobian(Vector<Real> &ajv, const Vector<Real> &v, const Vector<Real> &x, Real &tol) {
    ajv.set(v);
    ajv.scale(-1.0);
  }

  void applyAdjointHessian(Vector<Real> &ahuv, const Vector<Real> &u, const Vector<Real> &v,
                     const Vector<Real> &x, Real &tol) {
    ahuv.zero();
  }
};

}

#endif