MultiPeriodNLPThyraEpetraAdvDiffReactOptMain.cpp

00001 #include "GLpApp_AdvDiffReactOptModelCreator.hpp"
00002 #include "MoochoPack_MoochoThyraSolver.hpp"
00003 #include "Thyra_EpetraModelEvaluator.hpp"
00004 #include "Thyra_EpetraLinearOp.hpp"
00005 #include "Thyra_DefaultClusteredSpmdProductVectorSpace.hpp"
00006 #include "Thyra_DefaultMultiPeriodModelEvaluator.hpp"
00007 #include "Thyra_VectorSpaceTester.hpp"
00008 #include "Stratimikos_DefaultLinearSolverBuilder.hpp"
00009 #include "Thyra_DefaultInverseModelEvaluator.hpp"
00010 #include "Thyra_DefaultScaledAdjointLinearOp.hpp"
00011 #include "Thyra_DefaultMultipliedLinearOp.hpp"
00012 #include "Thyra_TestingTools.hpp"
00013 #include "Teuchos_OpaqueWrapper.hpp"
00014 #include "Teuchos_GlobalMPISession.hpp"
00015 #include "Teuchos_CommandLineProcessor.hpp"
00016 #include "Teuchos_StandardCatchMacros.hpp"
00017 #include "Teuchos_VerboseObject.hpp"
00018 #include "Teuchos_arrayArg.hpp"
00019 #include "Teuchos_Utils.hpp"
00020 #include "Teuchos_DefaultComm.hpp"
00021 #ifdef HAVE_MPI
00022 #  include "Teuchos_DefaultMpiComm.hpp"
00023 #  include "Epetra_MpiComm.h"
00024 #else
00025 #  include "Teuchos_DefaultSerialComm.hpp"
00026 #  include "Epetra_SerialComm.h"
00027 #endif
00028 
00029 namespace {
00030 
00031 typedef AbstractLinAlgPack::value_type  Scalar;
00032 
00033 } // namespace
00034 
00035 int main( int argc, char* argv[] )
00036 {
00037 
00038   using Teuchos::rcp;
00039   using Teuchos::rcp_dynamic_cast;
00040   using Teuchos::rcp_implicit_cast;
00041   using Teuchos::null;
00042   using Teuchos::RCP;
00043   using Teuchos::outArg;
00044   using Teuchos::Array;
00045   using Teuchos::tuple;
00046   using Teuchos::ParameterList;
00047   using Teuchos::OpaqueWrapper;
00048   using Teuchos::OSTab;
00049   using Teuchos::CommandLineProcessor;
00050   using Teuchos::toString;
00051   using Thyra::VectorBase;
00052   using Thyra::ProductVectorBase;
00053   typedef Thyra::ModelEvaluatorBase MEB;
00054   typedef Thyra::Index Index;
00055   using Thyra::ModelEvaluator;
00056   using MoochoPack::MoochoSolver;
00057   using MoochoPack::MoochoThyraSolver;
00058 
00059   Teuchos::GlobalMPISession mpiSession(&argc,&argv);
00060 
00061   const int procRank = mpiSession.getRank();
00062   const int numProcs = mpiSession.getNProc();
00063 
00064   Teuchos::Time timer("");
00065   
00066   bool result, success = true;
00067 
00068   RCP<Teuchos::FancyOStream>
00069     out = Teuchos::VerboseObjectBase::getDefaultOStream();
00070 
00071   try {
00072   
00073     Stratimikos::DefaultLinearSolverBuilder   lowsfCreator;
00074     GLpApp::AdvDiffReactOptModelCreator     epetraModelCreator;
00075 
00076     // Create the solver object
00077     MoochoThyraSolver solver;
00078 
00079     //
00080     // Get options from the command line
00081     //
00082 
00083     CommandLineProcessor  clp;
00084     clp.throwExceptions(false);
00085     clp.addOutputSetupOptions(true);
00086 
00087     epetraModelCreator.setupCLP(&clp);
00088     lowsfCreator.setupCLP(&clp);
00089     solver.setupCLP(&clp);
00090 
00091     int numProcsPerCluster = -1;
00092     clp.setOption( "num-procs-per-cluster", &numProcsPerCluster,
00093       "Number of processes in a cluster (<=0 means only one cluster)." );
00094     int numPeriodsPerCluster = 1;
00095     clp.setOption( "num-periods-per-cluster", &numPeriodsPerCluster,
00096       "Number of periods in a cluster." );
00097     bool dumpAll = false;
00098     clp.setOption( "dump-all", "no-dump-all", &dumpAll,
00099       "Set to true, then a bunch of debugging output will be created for the clustered vector tests." );
00100     bool skipSolve = false;
00101     clp.setOption( "skip-solve", "no-skip-solve", &skipSolve,
00102       "Temporary flag for skip solve for testing." );
00103     double perturbedParamScaling = 1.0;
00104     clp.setOption( "p-perturb-scaling", &perturbedParamScaling,
00105       "Scaling for perturbed paramters from the initial forward solve." );
00106     bool doMultiPeriod = true;
00107     clp.setOption( "multi-period", "no-multi-period", &doMultiPeriod,
00108       "Do a mulit-period solve or not." );
00109     bool useOuterInverse = true;
00110     clp.setOption( "use-outer-inverse", "use-inner-inverse", &useOuterInverse,
00111       "Determines if the outer inverse model will be used or the inner inverse." );
00112     double periodParamScale = 1.0;
00113     clp.setOption( "period-param-scale", &periodParamScale,
00114       "Sets the scaling factor to scale z[i] from one period to the next." );
00115     bool initialSolveContinuation = false;
00116     clp.setOption( "init-solve-continuation", "init-solve-all-at-once", &initialSolveContinuation,
00117       "Determines if the inital solve is done using continuation or all at once." );
00118     bool useStatelessPeriodModel = false;
00119     clp.setOption( "use-stateless-period-model", "use-statefull-period-model", &useStatelessPeriodModel,
00120       "Determines if a stateless or a statefull period model should be used or not." );
00121     double stateInvError = 1e-8;
00122     clp.setOption( "state-inv-error", &stateInvError,
00123       "The error in the l2 norm of the state inverse solution error." );
00124     double paramInvError = 1e-8;
00125     clp.setOption( "param-inv-error", &paramInvError,
00126       "The error in the l2 norm of the parameter inverse solution error." );
00127 
00128     CommandLineProcessor::EParseCommandLineReturn
00129       parse_return = clp.parse(argc,argv,&std::cerr);
00130 
00131     if( parse_return != CommandLineProcessor::PARSE_SUCCESSFUL )
00132       return parse_return;
00133 
00134     lowsfCreator.readParameters(out.get());
00135     solver.readParameters(out.get());
00136 
00137     *out
00138       << "\n***"
00139       << "\n*** NLPThyraEpetraAdvDiffReactOptMain, Global numProcs = "<<numProcs
00140       << "\n***\n";
00141 
00142     int clusterRank = -1;
00143     int numClusters = -1;
00144 #ifdef HAVE_MPI
00145 
00146     RCP<OpaqueWrapper<MPI_Comm> >
00147       intraClusterMpiComm = Teuchos::opaqueWrapper<MPI_Comm>(MPI_COMM_WORLD),
00148       interClusterMpiComm = Teuchos::null;
00149     
00150     {
00151       if ( numProcsPerCluster <= 0 ) {
00152         *out
00153           << "\nnumProcsPerCluster = " << numProcsPerCluster
00154           << " <= 0: Setting to " << numProcs << "...\n";
00155         numProcsPerCluster = numProcs;
00156       }
00157       *out << "\nCreating communicator for local cluster of "<<numProcsPerCluster<<" processes ...\n";
00158       numClusters = numProcs/numProcsPerCluster;
00159       const int remainingProcs = numProcs%numProcsPerCluster;
00160       TEST_FOR_EXCEPTION(
00161         remainingProcs!=0,std::logic_error
00162         ,"Error, The number of processes per cluster numProcsPerCluster="<<numProcsPerCluster
00163         << " does not divide into the global number of processes numProcs="<<numProcs
00164         << " and instead has remainder="<<remainingProcs<<"!"
00165         );
00166       // Determine which cluster this process is part of and what the global
00167       // process ranges are.
00168       clusterRank = procRank / numProcsPerCluster; // Integer division!
00169       *out << "\nclusterRank = " << clusterRank << "\n";
00170       const int firstClusterProcRank = clusterRank * numProcsPerCluster;
00171       const int lastClusterProcRank = firstClusterProcRank + numProcsPerCluster - 1;
00172       *out << "\nclusterProcRange = ["<<firstClusterProcRank<<","<<lastClusterProcRank<<"]\n";
00173       // Create the communicator for this cluster of processes
00174       *out << "\nCreating intraClusterMpiComm ...";
00175       MPI_Comm rawIntraClusterMpiComm = MPI_COMM_NULL;
00176       MPI_Comm_split(
00177         MPI_COMM_WORLD        // comm
00178         ,clusterRank          // color (will all be put in the same output comm)
00179         ,0                    // key (not important here)
00180         ,&rawIntraClusterMpiComm // newcomm
00181         );
00182       intraClusterMpiComm = Teuchos::opaqueWrapper(rawIntraClusterMpiComm,MPI_Comm_free);
00183       {
00184         *out << "\nintraClusterMpiComm:";
00185         Teuchos::OSTab tab(out);
00186         int rank, size;
00187         MPI_Comm_size(*intraClusterMpiComm,&size);
00188         MPI_Comm_rank(*intraClusterMpiComm,&rank);
00189         *out << "\nsize="<<size;
00190         *out << "\nrank="<<rank;
00191         *out << "\n";
00192       }
00193       // Create the communicator for just the root process in each cluster
00194       *out << "\nCreating interClusterMpiComm ...";
00195       MPI_Comm rawInterClusterMpiComm = MPI_COMM_NULL;
00196       MPI_Comm_split(
00197         MPI_COMM_WORLD                                  // comm
00198         ,procRank==firstClusterProcRank?0:MPI_UNDEFINED // color
00199         ,0                                              // key
00200         ,&rawInterClusterMpiComm                           // newcomm
00201         );
00202       if(rawInterClusterMpiComm!=MPI_COMM_NULL)
00203         interClusterMpiComm = Teuchos::opaqueWrapper(rawInterClusterMpiComm,MPI_Comm_free);
00204       else
00205         interClusterMpiComm = Teuchos::opaqueWrapper(rawInterClusterMpiComm);
00206       {
00207         *out << "\ninterClusterMpiComm:";
00208         Teuchos::OSTab tab(out);
00209         if(*interClusterMpiComm==MPI_COMM_NULL) {
00210           *out << " NULL\n";
00211         }
00212         else {
00213           int rank, size;
00214           MPI_Comm_size(*interClusterMpiComm,&size);
00215           MPI_Comm_rank(*interClusterMpiComm,&rank);
00216           *out << "\nsize="<<size;
00217           *out << "\nrank="<<rank;
00218           *out << "\n";
00219         }
00220       }
00221     }
00222 
00223 #endif
00224 
00225     RCP<Epetra_Comm> comm = Teuchos::null;
00226 #ifdef HAVE_MPI
00227     comm = Teuchos::rcp(new Epetra_MpiComm(*intraClusterMpiComm));
00228     Teuchos::set_extra_data(intraClusterMpiComm, "mpiComm", outArg(comm));
00229 #else
00230     comm = Teuchos::rcp(new Epetra_SerialComm());
00231 #endif
00232     
00233     //
00234     // Create the Thyra::ModelEvaluator object
00235     //
00236     
00237     *out << "\nCreate the GLpApp::AdvDiffReactOptModel wrapper object ...\n";
00238     
00239     RCP<GLpApp::AdvDiffReactOptModel>
00240       epetraModel = epetraModelCreator.createModel(comm);
00241 
00242     *out << "\nCreate the Thyra::LinearOpWithSolveFactory object ...\n";
00243 
00244     RCP<Thyra::LinearOpWithSolveFactoryBase<Scalar> >
00245       lowsFactory = lowsfCreator.createLinearSolveStrategy("");
00246     // ToDo: Set the output stream before calling above!
00247     
00248     *out << "\nCreate the Thyra::EpetraModelEvaluator wrapper object ...\n";
00249     
00250     RCP<Thyra::EpetraModelEvaluator>
00251       epetraThyraModel = rcp(new Thyra::EpetraModelEvaluator()); // Sets default options!
00252     epetraThyraModel->setOStream(out);
00253     epetraThyraModel->initialize(epetraModel,lowsFactory);
00254 
00255     *out
00256       << "\nnx = " << epetraThyraModel->get_x_space()->dim()
00257       << "\nnp = " << epetraThyraModel->get_p_space(0)->dim() << "\n";
00258 
00259     //
00260     // Create the parallel product spaces for x and f
00261     //
00262 
00263     RCP<const Thyra::ProductVectorSpaceBase<Scalar> >
00264       x_bar_space, f_bar_space;
00265     
00266 #ifdef HAVE_MPI
00267 
00268     // For now just build and test these vector spaces if we are not doing a
00269     // solve!  We have a lot more work to do to the "Clustered" support
00270     // software before this will work for a solve.
00271     
00272     if (skipSolve) {
00273       
00274       *out << "\nCreate block parallel vector spaces for multi-period model.x and model.f ...\n";
00275       RCP<const Teuchos::Comm<Index> >
00276         intraClusterComm = rcp(new Teuchos::MpiComm<Index>(intraClusterMpiComm)),
00277         interClusterComm = Teuchos::createMpiComm<Index>(interClusterMpiComm);
00278       x_bar_space = Teuchos::rcp(
00279         new Thyra::DefaultClusteredSpmdProductVectorSpace<Scalar>(
00280           intraClusterComm
00281           ,0 // clusterRootRank
00282           ,interClusterComm
00283           ,1 // numBlocks
00284           ,Teuchos::arrayArg<RCP<const Thyra::VectorSpaceBase<Scalar> > >(
00285             epetraThyraModel->get_x_space()
00286             )()
00287           )
00288         );
00289       f_bar_space = Teuchos::rcp(
00290         new Thyra::DefaultClusteredSpmdProductVectorSpace<Scalar>(
00291           intraClusterComm
00292           ,0 // clusterRootRank
00293           ,interClusterComm
00294           ,1 // numBlocks
00295           ,Teuchos::arrayArg<RCP<const Thyra::VectorSpaceBase<Scalar> > >(
00296             epetraThyraModel->get_f_space()
00297             )()
00298           )
00299         );
00300       
00301       Thyra::VectorSpaceTester<Scalar> vectorSpaceTester;
00302       vectorSpaceTester.show_all_tests(true);
00303       vectorSpaceTester.dump_all(dumpAll);
00304 
00305 #ifdef RTOPPACK_SPMD_APPLY_OP_DUMP
00306       RTOpPack::show_mpi_apply_op_dump = dumpAll;
00307 #endif
00308 #ifdef THYRA_SPMD_VECTOR_BASE_DUMP
00309       Thyra::SpmdVectorBase<Scalar>::show_dump = dumpAll;
00310 #endif
00311 
00312       *out << "\nTesting the vector space x_bar_space ...\n";
00313       result = vectorSpaceTester.check(*x_bar_space,OSTab(out).get());
00314       if(!result) success = false;
00315 
00316       *out << "\nTesting the vector space f_bar_space ...\n";
00317       result = vectorSpaceTester.check(*f_bar_space,OSTab(out).get());
00318       if(!result) success = false;
00319       
00320       RCP<const VectorBase<Scalar> >
00321         x0 = epetraThyraModel->getNominalValues().get_x();
00322       double nrm_x0;
00323       
00324 /* 2008/02/21: rabartl: I have commented this out since it is causing an MPI error?
00325 
00326       *out << "\nTiming a global reduction across just this cluster: ||x0||_1 = ";
00327       timer.start(true);
00328       nrm_x0 = Thyra::norm_1(*x0);
00329       *out << nrm_x0 << "\n";
00330       timer.stop();
00331       *out << "\n    time = " << timer.totalElapsedTime() << " seconds\n";
00332       
00333       *out << "\nTiming a global reduction across the entire set of processes: ||x0||_1 = ";
00334       timer.start(true);
00335       RTOpPack::ROpNorm1<Scalar> norm_1_op;
00336       RCP<RTOpPack::ReductTarget> norm_1_targ = norm_1_op.reduct_obj_create();
00337       const Teuchos::RCP<const Teuchos::Comm<Teuchos_Index> > comm
00338         = Teuchos::DefaultComm<Index>::getComm();
00339       const Teuchos::ArrayView<const Teuchos::Ptr<const VectorBase<Scalar> > >
00340         vecs = Teuchos::tuple(Teuchos::ptrInArg(*x0));
00341       Teuchos::dyn_cast<const Thyra::SpmdVectorBase<Scalar> >(*x0).applyOpImplWithComm(
00342         comm.ptr(),
00343         norm_1_op, vecs, Teuchos::null, norm_1_targ.ptr(),
00344         0, -1, 0
00345         );
00346       nrm_x0 = norm_1_op(*norm_1_targ);
00347       *out << nrm_x0 << "\n";
00348       timer.stop();
00349       *out << "\n    time = " << timer.totalElapsedTime() << " seconds\n";
00350 
00351 */
00352 
00353 #ifdef RTOPPACK_SPMD_APPLY_OP_DUMP
00354       RTOpPack::show_mpi_apply_op_dump = false;
00355 #endif
00356 #ifdef THYRA_SPMD_VECTOR_BASE_DUMP
00357       Thyra::SpmdVectorBase<Scalar>::show_dump = false;
00358 #endif
00359 
00360     }
00361 
00362 #endif // HAVE_MPI
00363     
00364     if(skipSolve) {
00365 
00366       if(success)
00367         *out << "\nEnd Result: TEST PASSED" << endl;
00368       else
00369         *out << "\nEnd Result: TEST FAILED" << endl;
00370 
00371       return ( success ? 0 : 1 );
00372 
00373     }
00374 
00375     const int N = numPeriodsPerCluster;
00376 
00377     Array<RCP<Thyra::ModelEvaluator<Scalar> > >
00378       inverseThyraModels(N);
00379     if (useOuterInverse) {
00380       *out << "\nUsing Thyra::DefaultInverseModelEvaluator for the objective function ...\n";
00381       if ( useStatelessPeriodModel ) {
00382         *out << "\nBuilding a single Thyra::DefaultInverseModelEvaluator object where the matching vector will be maintained externally ...\n";
00383       }
00384       else {
00385         *out << "\nBuilding multiple Thyra::DefaultInverseModelEvaluator objects where the matching vector is held internally ...\n";
00386       }
00387       RCP<ParameterList> invMEPL = Teuchos::parameterList();
00388       invMEPL->set( "Observation Multiplier", 1.0 );
00389       invMEPL->set( "Parameter Multiplier", epetraModel->getDataPool()->getbeta() );
00390       if ( useStatelessPeriodModel )
00391         invMEPL->set( "Observation Target as Parameter", true );
00392       RCP<const Thyra::EpetraLinearOp>
00393         H = Thyra::epetraLinearOp(epetraModel->getDataPool()->getH(),"H"),
00394         R = Thyra::epetraLinearOp(epetraModel->getDataPool()->getR(),"R");
00395       RCP<const Thyra::MultiVectorBase<Scalar> >
00396         B_bar = Thyra::create_MultiVector(
00397           epetraModel->get_B_bar(),
00398           R->spmdRange()
00399           );
00400       RCP<const Thyra::LinearOpBase<Scalar> >
00401         R_bar = Thyra::multiply<Scalar>(Thyra::adjoint<Scalar>(B_bar),R,B_bar);
00402       for ( int i = 0; i < N; ++i ) {
00403         if ( ( useStatelessPeriodModel && i==0 ) || !useStatelessPeriodModel ) {
00404           RCP<Thyra::DefaultInverseModelEvaluator<Scalar> >
00405             _inverseThyraModel = Thyra::defaultInverseModelEvaluator<Scalar>(
00406               epetraThyraModel );
00407           _inverseThyraModel->setParameterList(invMEPL);
00408           _inverseThyraModel->set_observationMatchWeightingOp(H);
00409           _inverseThyraModel->set_parameterRegularizationWeightingOp(R_bar);
00410           inverseThyraModels[i] = _inverseThyraModel;
00411         }
00412         else {
00413 #ifdef TEUCHOS_DEBUG
00414           TEST_FOR_EXCEPT( ! ( useStatelessPeriodModel && i > 0 ) );
00415 #endif
00416           inverseThyraModels[i] = inverseThyraModels[0];
00417         }
00418       }
00419     }
00420     else {
00421       *out << "\nUsing built-in inverse objective function ...\n";
00422       TEST_FOR_EXCEPTION(
00423         N != 1, std::logic_error,
00424         "Error, you can't have N = "<<N<<" > 1\n"
00425         "and be using an internal inverse objective!" );
00426       inverseThyraModels[0] = epetraThyraModel;
00427     }
00428 
00429     const int p_index = 0;
00430     const int z_index = 1;
00431     const int z_p_index = 1; // Index of the reaction rate parameter parameter subvector
00432     const int z_x_index = 2; // Index of the state matching subvector parameter
00433     Array<int> z_indexes;
00434     if (useStatelessPeriodModel)
00435       z_indexes = tuple<int>(z_p_index, z_x_index);
00436     else
00437       z_indexes = tuple<int>(z_p_index);
00438     Array<Array<RCP<const VectorBase<Scalar> > > > z;
00439     const int g_index = ( useOuterInverse ? 1 : 0 );
00440     Array<Scalar> weights;
00441     RCP<VectorBase<Scalar> >
00442       z_base = inverseThyraModels[0]->getNominalValues().get_p(z_index)->clone_v();
00443     *out << "\nz_base =\n" << Teuchos::describe(*z_base,Teuchos::VERB_EXTREME);
00444     Scalar scale_z_i = 1.0;
00445     for ( int i = 0; i < N; ++i ) {
00446       weights.push_back(1.0);
00447       RCP<VectorBase<Scalar> > z_i = z_base->clone_v();
00448       Vt_S( &*z_i, scale_z_i );
00449       *out << "\nz["<<i<<"] =\n" << Teuchos::describe(*z_i,Teuchos::VERB_EXTREME);
00450       if ( useStatelessPeriodModel ) {
00451         z.push_back(
00452           tuple<RCP<const VectorBase<Scalar> > >(
00453             z_i,
00454             null // We will set this again later!
00455             )
00456           );
00457       }
00458       else {
00459         z.push_back(
00460           tuple<RCP<const VectorBase<Scalar> > >(z_i)
00461           );
00462       }
00463       scale_z_i *= periodParamScale;
00464     }
00465 
00466     RCP<Thyra::ModelEvaluator<Scalar> >
00467       thyraModel = inverseThyraModels[0];
00468 
00469     if (doMultiPeriod) {
00470       thyraModel =
00471         rcp(
00472           new Thyra::DefaultMultiPeriodModelEvaluator<Scalar>(
00473             N, inverseThyraModels, z_indexes, z, g_index, weights,
00474             x_bar_space, f_bar_space
00475             )
00476           );
00477     }
00478     
00479     MoochoSolver::ESolutionStatus solution_status;
00480 
00481     //
00482     *out << "\n***\n*** Solving the initial forward problem\n***\n";
00483     //
00484 
00485     // Set the solve mode to solve the forward problem
00486     solver.setSolveMode(MoochoThyraSolver::SOLVE_MODE_FORWARD);
00487 
00488     // Save the solution for model.x and model.p to be used later
00489     RCP<const VectorBase<Scalar> >
00490       x_opt, // Will be set below
00491       x_init, // Will be set below
00492       p_opt = inverseThyraModels[0]->getNominalValues().get_p(0)->clone_v();
00493 
00494     *out << "\np_opt =\n" << Teuchos::describe(*p_opt,Teuchos::VERB_EXTREME);
00495     
00496     if ( initialSolveContinuation ) {
00497       
00498       *out << "\nSolving individual period problems one at time using continuation ...\n";
00499 
00500       RCP<ProductVectorBase<Scalar> >
00501         x_opt_prod = rcp_dynamic_cast<ProductVectorBase<Scalar> >(
00502          createMember( thyraModel->get_x_space() ), true );
00503 
00504       RCP<const VectorBase<Scalar> > period_x;
00505 
00506       for ( int i = 0; i < N; ++i ) {
00507 
00508         *out << "\nSolving period i = " << i << " using guess from last period ...\n";
00509       
00510         // Set the deliminator for the output files!
00511         solver.getSolver().set_output_context("fwd-init-"+toString(i));
00512 
00513         // Set the period model
00514         solver.setModel(inverseThyraModels[i]);
00515         
00516         // Set the initial guess and the parameter values
00517         MEB::InArgs<Scalar> initialGuess = inverseThyraModels[i]->createInArgs();
00518         initialGuess.set_p(z_index,z[i][0]->clone_v());
00519         initialGuess.set_p(p_index,p_opt->clone_v());
00520         if ( i == 0 ) {
00521           // For the first period just use whatever initial guess is built
00522           // into the model
00523         }
00524         else {
00525           // Set the final solution for x from the last period!
00526           initialGuess.set_x(period_x);
00527         }
00528         solver.setInitialGuess(initialGuess);
00529 
00530         // Solve the period model
00531         solution_status = solver.solve();
00532         TEST_FOR_EXCEPT( solution_status != MoochoSolver::SOLVE_RETURN_SOLVED );
00533 
00534         // Save the final solution for the next period!
00535         period_x = solver.getFinalPoint().get_x()->clone_v();
00536         assign( &*x_opt_prod->getNonconstVectorBlock(i), *period_x );
00537         if ( useStatelessPeriodModel )
00538           z[i][1] = period_x->clone_v(); // This is our matching vector!
00539         
00540       }
00541 
00542       x_opt = x_opt_prod;
00543       x_init = x_opt->clone_v();
00544 
00545       if ( useStatelessPeriodModel ) {
00546         rcp_dynamic_cast<Thyra::DefaultMultiPeriodModelEvaluator<Scalar> >(
00547           thyraModel
00548           )->reset_z(z);
00549       }
00550 
00551     }
00552     else {
00553 
00554       *out << "\nSolving all periods simultaniously ...\n";
00555       
00556       // Set the deliminator for the output files!
00557       solver.getSolver().set_output_context("fwd-init");
00558       
00559       // Set the model
00560       solver.setModel(thyraModel);
00561       
00562       // Set the initial guess from files (if specified on commandline)
00563       solver.readInitialGuess(out.get());
00564       
00565       // Solve the initial forward problem
00566       solution_status = solver.solve();
00567       TEST_FOR_EXCEPT( solution_status != MoochoSolver::SOLVE_RETURN_SOLVED );
00568 
00569       // Save the solution for model.x and model.p to be used later
00570       x_opt = solver.getFinalPoint().get_x()->clone_v();
00571       x_init = solver.getFinalPoint().get_x()->clone_v();
00572       
00573     }
00574     
00575     //
00576     *out << "\n***\n*** Solving the perturbed forward problem\n***\n";
00577     //
00578     
00579     // Set the deliminator for the output files!
00580     solver.getSolver().set_output_context("fwd");
00581     
00582     // Set the solve mode to solve the forward problem
00583     solver.setSolveMode(MoochoThyraSolver::SOLVE_MODE_FORWARD);
00584     
00585     // Set the model
00586     solver.setModel(thyraModel);
00587     
00588     // Set the initial guess and the perturbed parameters
00589     RCP<VectorBase<Scalar> >
00590       p_init = p_opt->clone_v();
00591     {
00592       MEB::InArgs<Scalar> initialGuess = thyraModel->createInArgs();
00593       initialGuess.setArgs(thyraModel->getNominalValues());
00594       initialGuess.set_x(x_init);
00595       Thyra::Vt_S(&*p_init,perturbedParamScaling);
00596       initialGuess.set_p(0,p_init);
00597       //*out << "\nInitial Guess:\n" << Teuchos::describe(initialGuess,Teuchos::VERB_EXTREME);
00598       solver.setInitialGuess(initialGuess);
00599     }
00600 
00601     // Solve the perturbed forward problem
00602     solution_status = solver.solve();
00603     
00604     // Save the solution for model.x and model.p to be used later
00605     x_init = solver.getFinalPoint().get_x()->clone_v();
00606     p_init = solver.getFinalPoint().get_p(0)->clone_v();
00607 
00608     *out
00609       << "\nrelVectorErr(x_perturb,x_opt) = " << Thyra::relVectorErr(*x_init,*x_opt)
00610       << "\nrelVectorErr(p_perturb,p_opt) = " << Thyra::relVectorErr(*p_init,*p_opt)
00611       << "\n";
00612     
00613     //
00614     *out << "\n***\n*** Solving the perturbed inverse problem\n***\n";
00615     //
00616 
00617     // Set the deliminator for the output files!
00618     solver.getSolver().set_output_context("inv");
00619 
00620     //TEST_FOR_EXCEPT("ToDo: We need to use the DefaultInverseModelEvaluator to set the matching vector correctly!");
00621 
00622     // Set the matching vector
00623     if ( N > 1 ) {
00624       TEST_FOR_EXCEPTION(
00625         !useOuterInverse, std::logic_error,
00626         "Error, if N > 1, you have to use the outer inverse objective function\n"
00627         "since each target vector will be different!" );
00628       RCP<const ProductVectorBase<Scalar> >
00629         x_opt_prod = rcp_dynamic_cast<const ProductVectorBase<Scalar> >(
00630           rcp_implicit_cast<const VectorBase<Scalar> >(x_opt), true
00631           ); // This cast can *not* fail!
00632       for ( int i = 0; i < N; ++i ) {
00633         rcp_dynamic_cast<Thyra::DefaultInverseModelEvaluator<Scalar> >(
00634           inverseThyraModels[i], true
00635           )->set_observationTarget(x_opt_prod->getVectorBlock(i));
00636       }
00637     }
00638     else if ( 1 == N ) {
00639       RCP<const ProductVectorBase<Scalar> >
00640         x_opt_prod = rcp_dynamic_cast<const ProductVectorBase<Scalar> >(
00641           rcp_implicit_cast<const VectorBase<Scalar> >(x_opt)
00642           ); // This cast can fail!
00643       RCP<const VectorBase<Scalar> >
00644         x_opt_i =
00645         ( !is_null(x_opt_prod)
00646           ? x_opt_prod->getVectorBlock(0)
00647           : rcp_implicit_cast<const VectorBase<Scalar> >(x_opt)
00648           );
00649       if (useOuterInverse) {
00650         rcp_dynamic_cast<Thyra::DefaultInverseModelEvaluator<Scalar> >(
00651           inverseThyraModels[0], true
00652           )->set_observationTarget(x_opt_i);
00653       }
00654       else {
00655         epetraModel->set_q(
00656           Thyra::get_Epetra_Vector(*epetraModel->get_x_map(), x_opt_i)
00657           );
00658       }
00659     }
00660     else {
00661       TEST_FOR_EXCEPT("Error, should not get here!");
00662     }
00663     
00664     // Set the solve mode to solve the inverse problem
00665     solver.setSolveMode(MoochoThyraSolver::SOLVE_MODE_OPTIMIZE);
00666    
00667     // Set the model
00668     solver.setModel(thyraModel);
00669 
00670     // Set the initial guess for model.x and model.p
00671     {
00672       MEB::InArgs<Scalar> initialGuess = thyraModel->createInArgs();
00673       initialGuess.setArgs(thyraModel->getNominalValues());
00674       initialGuess.set_x(x_init);
00675       initialGuess.set_p(0,p_init);
00676       //*out << "\nInitial Guess:\n" << Teuchos::describe(initialGuess,Teuchos::VERB_EXTREME);
00677       solver.setInitialGuess(initialGuess);
00678     }
00679     
00680     // Solve the inverse problem
00681     solution_status = solver.solve();
00682     TEST_FOR_EXCEPT( solution_status != MoochoSolver::SOLVE_RETURN_SOLVED );
00683 
00684     //
00685     *out << "\n***\n*** Testing the error in the inversion\n***\n";
00686     //
00687     
00688     // Get the inverted for solution and compare it to the optimal solution
00689 
00690     RCP<const VectorBase<Scalar> >
00691       x_inv = solver.getFinalPoint().get_x(),
00692       p_inv = solver.getFinalPoint().get_p(0);
00693 
00694     *out << "\np_opt =\n" << Teuchos::describe(*p_opt,Teuchos::VERB_EXTREME);
00695     *out << "\np_inv =\n" << Teuchos::describe(*p_inv,Teuchos::VERB_EXTREME);
00696 
00697     const Scalar
00698       x_err = Thyra::relVectorErr( *x_inv, *x_opt ),
00699       p_err = Thyra::relVectorErr( *p_inv, *p_opt );
00700 
00701     const bool
00702       x_test_passed = ( x_err <= stateInvError ),
00703       p_test_passed = ( p_err <= paramInvError );
00704 
00705     *out
00706       << "\nrelVectorErr(x_inv,x_opt) = " << x_err << " <= " << stateInvError
00707       << " : " << Thyra::passfail(x_test_passed)
00708       << "\nrelVectorErr(p_inv,p_opt) = " << p_err << " <= " << paramInvError
00709       << " : " << Thyra::passfail(p_test_passed)
00710       << "\n";
00711     
00712     // Write the final solution
00713     solver.writeFinalSolution(out.get());
00714     
00715     // Write the final parameters to file
00716     lowsfCreator.writeParamsFile(*lowsFactory);
00717     solver.writeParamsFile();
00718     
00719     TEST_FOR_EXCEPT(
00720       solution_status != MoochoSolver::SOLVE_RETURN_SOLVED
00721       );
00722     
00723   }
00724   TEUCHOS_STANDARD_CATCH_STATEMENTS(true,*out,success)
00725 
00726   if(success)
00727     *out << "\nEnd Result: TEST PASSED" << endl;
00728   else
00729     *out << "\nEnd Result: TEST FAILED" << endl;
00730   
00731   return ( success ? 0 : 1 );
00732   
00733 }

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