NLPThyraEpetraMultiPointModelEval4DOptMain.cpp

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// Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
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#include "NLPInterfacePack_NLPFirstOrderThyraModelEvaluator.hpp"
#ifdef HAVE_MPI
#include "EpetraExt_MultiPointModelEvaluator.h"
#include "EpetraExt_MultiMpiComm.h"
#endif
#include "EpetraMultiPointModelEval4DOpt.hpp"
#include "MoochoPack_MoochoThyraSolver.hpp"
#include "Stratimikos_DefaultLinearSolverBuilder.hpp"
#include "Thyra_EpetraModelEvaluator.hpp"
#include "Teuchos_RCP.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include "Teuchos_VerboseObject.hpp"
#include "Teuchos_CommandLineProcessor.hpp"
#include "Teuchos_StandardCatchMacros.hpp"

int main( int argc, char* argv[] )
#ifdef HAVE_MPI
{
  using Teuchos::CommandLineProcessor;
  typedef AbstractLinAlgPack::value_type  Scalar;
  using MoochoPack::MoochoSolver;
  using MoochoPack::MoochoThyraSolver;

  bool dummySuccess = true;

  Teuchos::GlobalMPISession mpiSession(&argc,&argv);

  Teuchos::RCP<Teuchos::FancyOStream>
    out = Teuchos::VerboseObjectBase::getDefaultOStream();

  try {

    Stratimikos::DefaultLinearSolverBuilder lowsfCreator;
    MoochoThyraSolver                     solver;
  
    //
    // Get options from the command line
    //
    
    Scalar       xt0         = 1.0;
    Scalar       xt1         = 1.0;
    Scalar       pt0         = 2.0;
    Scalar       pt1         = 0.0;
    Scalar       d           = 10.0;
    Scalar       x00         = 1.0;
    Scalar       x01         = 1.0;
    Scalar       p00         = 2.0;
    Scalar       p01         = 0.0;
    Scalar       pL0         = -1e+50;
    Scalar       pL1         = -1e+50;
    Scalar       pU0         = +1e+50;
    Scalar       pU1         = +1e+50;
    Scalar       q0          = 0.0;

    Scalar       xL0         = -1e+50;
    Scalar       xL1         = -1e+50;
    Scalar       xU0         = +1e+50;
    Scalar       xU1         = +1e+50;

    CommandLineProcessor  clp(false); // Don't throw exceptions

    lowsfCreator.setupCLP(&clp);
    solver.setupCLP(&clp);

    clp.setOption( "xt0", &xt0 );
    clp.setOption( "xt1", &xt1 );
    clp.setOption( "pt0", &pt0 );
    clp.setOption( "pt1", &pt1 );
    clp.setOption( "d", &d );
    clp.setOption( "x00", &x00 );
    clp.setOption( "x01", &x01 );
    clp.setOption( "p00", &p00 );
    clp.setOption( "q0", &q0 );
    clp.setOption( "p01", &p01 );
    clp.setOption( "pL0", &pL0 );
    clp.setOption( "pL1", &pL1 );
    clp.setOption( "pU0", &pU0 );
    clp.setOption( "pU1", &pU1 );
    clp.setOption( "xL0", &xL0 );
    clp.setOption( "xL1", &xL1 );
    clp.setOption( "xU0", &xU0 );
    clp.setOption( "xU1", &xU1 );
 
    CommandLineProcessor::EParseCommandLineReturn
      parse_return = clp.parse(argc,argv,&std::cerr);

    if( parse_return != CommandLineProcessor::PARSE_SUCCESSFUL )
      return parse_return;

    lowsfCreator.readParameters(out.get());
    solver.readParameters(out.get());

    //
    // Create the NLP
    //
    
    // Construct global and split (individual point) communicators
    int numPoints = 20;
    Teuchos::RCP<EpetraExt::MultiMpiComm> globalComm = 
      Teuchos::rcp(new EpetraExt::MultiMpiComm(MPI_COMM_WORLD, 1,  numPoints));
    int myPoints = globalComm->NumTimeStepsOnDomain();
    int myFirstPoint = globalComm->FirstTimeStepOnDomain();

    Teuchos::RCP<Epetra_MpiComm> epetra_comm =
      Teuchos::rcp_dynamic_cast<Epetra_MpiComm>(
        Teuchos::rcp(&globalComm->SubDomainComm(),false)
        );

    // Create the single-point EpetraExt::ModelEvaluator object
    Teuchos::RCP<EpetraMultiPointModelEval4DOpt>
      epetraModel = Teuchos::rcp(new EpetraMultiPointModelEval4DOpt(epetra_comm,xt0,xt1,pt0,pt1,d,x00,x01,p00,p01, q0));
    epetraModel->set_p_bounds(pL0,pL1,pU0,pU1);
    epetraModel->set_x_bounds(xL0,xL1,xU0,xU1);

    // Fill a vector of pointers to initial guesses for each point
    std::vector<Epetra_Vector*> multi_x_init(myPoints);
    Epetra_Vector init_vec(*(epetraModel->get_x_init().get()));
    for (int i=0; i<myPoints; i++) { multi_x_init[i] = &init_vec;}

    // Fill a vector of pointers to parameter vectors that define the multiple points
    Teuchos::RCP<std::vector< Teuchos::RCP<Epetra_Vector> > >  q_vec
        = Teuchos::rcp(new std::vector< Teuchos::RCP<Epetra_Vector> >(myPoints));
    for (int i=0; i<myPoints; i++) {
       q_vec->operator[](i) = Teuchos::rcp(new Epetra_Vector( *(epetraModel->get_p_map(1))));
       q_vec->operator[](i)->operator[](0) = 0.0 + 0.1*(i+myFirstPoint);
    }

    // Create the EpetraExt::MultiPointModelEvaluator object
    Teuchos::RCP<EpetraExt::MultiPointModelEvaluator>
      multiPointModel = Teuchos::rcp(new EpetraExt::MultiPointModelEvaluator(
                             epetraModel, globalComm, multi_x_init, q_vec));

    // Create the Thyra::EpetraModelEvaluator object

    Teuchos::RCP<Thyra::LinearOpWithSolveFactoryBase<double> >
      lowsFactory = lowsfCreator.createLinearSolveStrategy("");

    Teuchos::RCP<Thyra::EpetraModelEvaluator>
      epetraThyraModel = rcp(new Thyra::EpetraModelEvaluator());
    
    epetraThyraModel->initialize(multiPointModel,lowsFactory);
    
    //
    // Solve the NLP
    //
    
    // Set the model
    solver.setModel(epetraThyraModel);

    // Read the initial guess if one exists
    solver.readInitialGuess(out.get());

    // Solve the NLP
    const MoochoSolver::ESolutionStatus solution_status = solver.solve();

    // Write the parameters that where read
    lowsfCreator.writeParamsFile(*lowsFactory);
    solver.writeParamsFile();
    
    //
    // Return the solution status (0 if sucessfull)
    //

    return solution_status;

  }
  TEUCHOS_STANDARD_CATCH_STATEMENTS(true,*out,dummySuccess)

  return MoochoSolver::SOLVE_RETURN_EXCEPTION;

}
#else
{
  cout << "NLPThyraEpetraModelEval4DOpt does nothing when HAVE_MPI is not defined" << endl;
  return 0;
}
#endif