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ModelEvaluatorImpl.hpp
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ModelEvaluatorImpl.hpp
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/*
*
* Copyright (c) 2017, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* Written by Slaven Peles <peles2@llnl.gov>.
* LLNL-CODE-718378.
* All rights reserved.
*
* This file is part of GridKit™. For details, see github.com/LLNL/GridKit
* Please also read the LICENSE file.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* - Redistributions of source code must retain the above copyright notice,
* this list of conditions and the disclaimer below.
* - Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the disclaimer (as noted below) in the
* documentation and/or other materials provided with the distribution.
* - Neither the name of the LLNS/LLNL nor the names of its contributors may
* be used to endorse or promote products derived from this software without
* specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
* CONTRIBUTORS "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 LAWRENCE LIVERMORE NATIONAL
* SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR 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) ARISINGIN ANY
* WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
* THE POSSIBILITY OF SUCH DAMAGE.
*
* Lawrence Livermore National Laboratory is operated by Lawrence Livermore
* National Security, LLC, for the U.S. Department of Energy, National
* Nuclear Security Administration under Contract DE-AC52-07NA27344.
*
* This document was prepared as an account of work sponsored by an agency
* of the United States government. Neither the United States government nor
* Lawrence Livermore National Security, LLC, nor any of their employees
* makes any warranty, expressed or implied, or assumes any legal liability
* or responsibility for the accuracy, completeness, or usefulness of any
* information, apparatus, product, or process disclosed, or represents that
* its use would not infringe privately owned rights. Reference herein to
* any specific commercial product, process, or service by trade name,
* trademark, manufacturer, or otherwise does not necessarily constitute or
* imply its endorsement, recommendation, or favoring by the United States
* government or Lawrence Livermore National Security, LLC. The views and
* opinions of authors expressed herein do not necessarily state or reflect
* those of the United States government or Lawrence Livermore National
* Security, LLC, and shall not be used for advertising or product
* endorsement purposes.
*
*/
#ifndef _MODEL_EVALUATOR_IMPL_HPP_
#define _MODEL_EVALUATOR_IMPL_HPP_
#include <vector>
#include <ModelEvaluator.hpp>
namespace ModelLib
{
/*!
* @brief Model implementation base class.
*
*/
template <class ScalarT, typename IdxT>
class ModelEvaluatorImpl : public ModelEvaluator<ScalarT, IdxT>
{
public:
typedef typename ModelEvaluator<ScalarT, IdxT>::real_type real_type;
ModelEvaluatorImpl()
: size_(0),
size_quad_(0),
size_opt_(0)
{}
ModelEvaluatorImpl(IdxT size, IdxT size_quad, IdxT size_opt)
: size_(size),
size_quad_(size_quad),
size_opt_(size_opt),
y_(size_),
yp_(size_),
f_(size_),
g_(size_quad_),
yB_(size_),
ypB_(size_),
fB_(size_),
gB_(size_opt_),
J_(COO_Matrix<ScalarT, IdxT>()),
param_(size_opt_),
param_up_(size_opt_),
param_lo_(size_opt_)
{
}
virtual IdxT size()
{
return size_;
}
virtual IdxT nnz()
{
return nnz_;
}
virtual bool hasJacobian()
{
return false;
}
virtual IdxT size_quad()
{
return size_quad_;
}
virtual IdxT size_opt()
{
return size_opt_;
}
// virtual void updateTime(real_type t, real_type a)
// {
// time_ = t;
// alpha_ = a;
// std::cout << "updateTime: t = " << time_ << "\n";
// }
virtual void setTolerances(real_type& rtol, real_type& atol) const
{
rtol = rtol_;
atol = atol_;
}
virtual void setMaxSteps(IdxT& msa) const
{
msa = max_steps_;
}
std::vector<ScalarT>& y()
{
return y_;
}
const std::vector<ScalarT>& y() const
{
return y_;
}
std::vector<ScalarT>& yp()
{
return yp_;
}
const std::vector<ScalarT>& yp() const
{
return yp_;
}
std::vector<bool>& tag()
{
return tag_;
}
const std::vector<bool>& tag() const
{
return tag_;
}
std::vector<ScalarT>& yB()
{
return yB_;
}
const std::vector<ScalarT>& yB() const
{
return yB_;
}
std::vector<ScalarT>& ypB()
{
return ypB_;
}
const std::vector<ScalarT>& ypB() const
{
return ypB_;
}
std::vector<ScalarT>& param()
{
return param_;
}
const std::vector<ScalarT>& param() const
{
return param_;
}
std::vector<ScalarT>& param_up()
{
return param_up_;
}
const std::vector<ScalarT>& param_up() const
{
return param_up_;
}
std::vector<ScalarT>& param_lo()
{
return param_lo_;
}
const std::vector<ScalarT>& param_lo() const
{
return param_lo_;
}
std::vector<ScalarT>& getResidual()
{
return f_;
}
const std::vector<ScalarT>& getResidual() const
{
return f_;
}
COO_Matrix<ScalarT, IdxT>& getJacobian()
{
return J_;
}
const COO_Matrix<ScalarT, IdxT>& getJacobian() const
{
return J_;
}
std::vector<ScalarT>& getIntegrand()
{
return g_;
}
const std::vector<ScalarT>& getIntegrand() const
{
return g_;
}
std::vector<ScalarT>& getAdjointResidual()
{
return fB_;
}
const std::vector<ScalarT>& getAdjointResidual() const
{
return fB_;
}
std::vector<ScalarT>& getAdjointIntegrand()
{
return gB_;
}
const std::vector<ScalarT>& getAdjointIntegrand() const
{
return gB_;
}
//@todo Fix ID naming
IdxT getIDcomponent()
{
return idc_;
}
protected:
IdxT size_;
IdxT nnz_;
IdxT size_quad_;
IdxT size_opt_;
std::vector<ScalarT> y_;
std::vector<ScalarT> yp_;
std::vector<bool> tag_;
std::vector<ScalarT> f_;
std::vector<ScalarT> g_;
std::vector<ScalarT> yB_;
std::vector<ScalarT> ypB_;
std::vector<ScalarT> fB_;
std::vector<ScalarT> gB_;
COO_Matrix<ScalarT, IdxT> J_;
std::vector<ScalarT> param_;
std::vector<ScalarT> param_up_;
std::vector<ScalarT> param_lo_;
real_type time_;
real_type alpha_;
real_type rtol_;
real_type atol_;
IdxT max_steps_;
IdxT idc_;
};
} // namespace ModelLib
#endif // _MODEL_EVALUATOR_IMPL_HPP_