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// Copyright (C) 2019 EDF
// All Rights Reserved
// This code is published under the GNU Lesser General Public License (GNU LGPL)
#ifndef TRANSITIONSTEPREGRESSIONDPCUTDIST_H
#define TRANSITIONSTEPREGRESSIONDPCUTDIST_H
#include <functional>
#include <memory>
#include <boost/mpi.hpp>
#include <Eigen/Dense>
#include "geners/BinaryFileArchive.hh"
#include "geners/Record.hh"
#include "StOpt/dp/TransitionStepBaseDist.h"
#include "StOpt/core/grids/FullGrid.h"
#include "StOpt/core/parallelism/ParallelComputeGridSplitting.h"
#include "StOpt/regression/BaseRegression.h"
#include "StOpt/dp/OptimizerDPCutBase.h"
/** \file TransitionStepRegressionDPCutDist.h
* \brief Solve the dynamic programming problem on one time step by regression with parallelization
* The transition problem is written with cuts so that the transition problem is written with LP solver.
* \author Xavier Warin
*/
namespace StOpt
{
/// \class TransitionStepRegressionDPCutDist TransitionStepRegressionDPCutDist.h
/// One step of dynamic programming using MPI
class TransitionStepRegressionDPCutDist : public TransitionStepBaseDist
{
public :
/// \brief Constructor
TransitionStepRegressionDPCutDist(const std::shared_ptr<FullGrid> &p_pGridCurrent,
const std::shared_ptr<FullGrid> &p_pGridPrevious,
const std::shared_ptr<OptimizerDPCutBase > &p_pOptimize,
const boost::mpi::communicator &p_world);
/// \brief One step for dynamic programming in optimization
/// \param p_phiIn for each regime the function cut value ( (nb simulation * nb cuts), nb stocks ) coming from next step
/// \param p_condExp Conditional expectation object
/// \return For each regime, vector contained the cut value for each ((simulation* nbcuts) * stock number)
/// each Eigen array has shape (simulation* nbcuts) by stock number
std::vector< std::shared_ptr< Eigen::ArrayXXd > > oneStep(const std::vector< std::shared_ptr< Eigen::ArrayXXd > > &p_phiIn,
const std::shared_ptr< BaseRegression> &p_condExp) const ;
/// \brief Permits to dump continuation values on archive
/// \param p_ar archive to dump in
/// \param p_name name used for object
/// \param p_iStep Step number or identifier for time step
/// \param p_phiInPrev for each regime the function value ( nb simulation* nb cuts ,nb stocks)
/// \param p_condExp conditional expectation operator
/// \param p_bOneFile if true Bellman values are store in one file
void dumpContinuationCutsValues(std::shared_ptr<gs::BinaryFileArchive> p_ar, const std::string &p_name, const int &p_iStep,
const std::vector< std::shared_ptr< Eigen::ArrayXXd > > &p_phiInPrev,
const std::shared_ptr<BaseRegression> &p_condExp,
const bool &p_bOneFile) const;
/// \brief Permits to dump Bellman values on archive
/// \param p_ar archive to dump in
/// \param p_name name used for object
/// \param p_iStep Step number or identifier for time step
/// \param p_phiIn for each regime the function value ( nb simulation* nb cuts ,nb stocks)
/// \param p_condExp conditional expectation operator
/// \param p_bOneFile if true Bellman values are store in one file
void dumpBellmanCutsValues(std::shared_ptr<gs::BinaryFileArchive> p_ar, const std::string &p_name, const int &p_iStep,
const std::vector< std::shared_ptr< Eigen::ArrayXXd > > &p_phiIn,
const std::shared_ptr<BaseRegression> &p_condExp,
const bool &p_bOneFile) const;
};
}
#endif /* TRANSITIONSTEPREGRESSIONDPCUTDIST_H */
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