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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
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact lead developers:
//              Drew Kouri   (dpkouri@sandia.gov) and
//              Denis Ridzal (dridzal@sandia.gov)
//
// ************************************************************************
// @HEADER

#ifndef ROL_SROMVECTOR_H
#define ROL_SROMVECTOR_H

#include <algorithm>
#include <cstdlib>

#include "ROL_ProbabilityVector.hpp"
#include "ROL_AtomVector.hpp"

/** \class ROL::SROMVector
    \brief Provides the std::vector implementation of the ROL::Vector interface.
*/


namespace ROL {

template <class Real>
class SROMVector : public Vector<Real> {
  typedef typename std::vector<Real>::size_type uint;
private:
  const Teuchos::RCP<ProbabilityVector<Real> > pvec_;
  const Teuchos::RCP<AtomVector<Real> > avec_;

  mutable Teuchos::RCP<Vector<Real> > dual_pvec_;
  mutable Teuchos::RCP<Vector<Real> > dual_avec_;
  mutable Teuchos::RCP<SROMVector<Real> > dual_vec_;
  mutable bool isDualInitialized_;

public:

  SROMVector(const Teuchos::RCP<ProbabilityVector<Real> >  &pvec,
             const Teuchos::RCP<AtomVector<Real> >         &avec)
    : pvec_(pvec), avec_(avec), isDualInitialized_(false) {
    dual_pvec_ = (pvec_->dual()).clone();
    dual_avec_ = (avec_->dual()).clone();
  }

  void set( const Vector<Real> &x ) {
    const SROMVector &ex = Teuchos::dyn_cast<const SROMVector>(x);
    pvec_->set(*(ex.getProbabilityVector()));
    avec_->set(*(ex.getAtomVector()));
  }

  void plus( const Vector<Real> &x ) {
    const SROMVector &ex = Teuchos::dyn_cast<const SROMVector>(x);
    pvec_->plus(*(ex.getProbabilityVector()));
    avec_->plus(*(ex.getAtomVector()));
  }

  void scale( const Real alpha ) {
    pvec_->scale(alpha);
    avec_->scale(alpha);
  }

  void axpy( const Real alpha, const Vector<Real> &x ) {
    const SROMVector &ex = Teuchos::dyn_cast<const SROMVector>(x);
    pvec_->axpy(alpha,*(ex.getProbabilityVector()));
    avec_->axpy(alpha,*(ex.getAtomVector()));
  }

  Real dot( const Vector<Real> &x ) const {
    const SROMVector & ex = Teuchos::dyn_cast<const SROMVector>(x);
    Real pval = pvec_->dot(*(ex.getProbabilityVector()));
    Real aval = avec_->dot(*(ex.getAtomVector()));
    return pval + aval;
  }

  Real norm() const {
    Real val = 0;
    val = std::sqrt( dot(*this) );
    return val;
  }

  Teuchos::RCP<Vector<Real> > clone(void) const {
    return Teuchos::rcp( new SROMVector(
           Teuchos::rcp_static_cast<ProbabilityVector<Real> >(pvec_->clone()),
           Teuchos::rcp_static_cast<AtomVector<Real> >(avec_->clone())) );
  }

  const Vector<Real> & dual(void) const {
    if ( !isDualInitialized_ ) {
      dual_vec_ = Teuchos::rcp(new SROMVector(
                  Teuchos::rcp_static_cast<ProbabilityVector<Real> >(dual_pvec_),
                  Teuchos::rcp_static_cast<AtomVector<Real> >(dual_avec_)) );
      isDualInitialized_ = true;
    }
    dual_pvec_->set(pvec_->dual());
    dual_avec_->set(avec_->dual());
    return *dual_vec_;
  }

  int dimension(void) const {
    return avec_->dimension() + pvec_->dimension();
  }

  void applyUnary( const Elementwise::UnaryFunction<Real> &f ) {
    pvec_->applyUnary(f);
    avec_->applyUnary(f);
  }

  void applyBinary( const Elementwise::BinaryFunction<Real> &f, const Vector<Real> &x ) {
    const SROMVector & ex = Teuchos::dyn_cast<const SROMVector>(x);
    pvec_->applyBinary(f,*(ex.getProbabilityVector()));
    avec_->applyBinary(f,*(ex.getAtomVector()));
  }

  Real reduce( const Elementwise::ReductionOp<Real> &r ) const {
    Real result = r.initialValue();
    Real pval = pvec_->reduce(r);
    Real aval = avec_->reduce(r);
    r.reduce(pval,result);
    r.reduce(aval,result);
    return result;
  }

  const Teuchos::RCP<const AtomVector<Real> > getAtomVector(void) const {
    return avec_;
  }
  
  const Teuchos::RCP<const ProbabilityVector<Real> > getProbabilityVector(void) const {
    return pvec_;
  }

  Teuchos::RCP<AtomVector<Real> > getAtomVector(void) {
    return avec_;
  }
  
  Teuchos::RCP<ProbabilityVector<Real> > getProbabilityVector(void) {
    return pvec_;
  }

  void setAtomVector(const AtomVector<Real> &vec) {
    avec_->set(vec);
  }

  void setProbabilityVector(const ProbabilityVector<Real> &vec) {
    pvec_->set(vec);
  }
  
}; // class SROMVector

} // namespace ROL

#endif