BelosPseudoBlockGmresSolMgr.hpp

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//                 Belos: Block Linear Solvers Package
//                 Copyright (2004) Sandia Corporation
//
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#ifndef BELOS_PSEUDO_BLOCK_GMRES_SOLMGR_HPP
#define BELOS_PSEUDO_BLOCK_GMRES_SOLMGR_HPP

#include "BelosConfigDefs.hpp"
#include "BelosTypes.hpp"

#include "BelosLinearProblem.hpp"
#include "BelosSolverManager.hpp"

#include "BelosPseudoBlockGmresIter.hpp"
#include "BelosDGKSOrthoManager.hpp"
#include "BelosICGSOrthoManager.hpp"
#include "BelosIMGSOrthoManager.hpp"
#include "BelosStatusTestMaxIters.hpp"
#include "BelosStatusTestGenResNorm.hpp"
#include "BelosStatusTestImpResNorm.hpp"
#include "BelosStatusTestCombo.hpp"
#include "BelosStatusTestOutput.hpp"
#include "BelosOutputManager.hpp"
#include "Teuchos_BLAS.hpp"
#include "Teuchos_LAPACK.hpp"
#include "Teuchos_TimeMonitor.hpp"

namespace Belos {
  

  
  class PseudoBlockGmresSolMgrLinearProblemFailure : public BelosError {public:
    PseudoBlockGmresSolMgrLinearProblemFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
  class PseudoBlockGmresSolMgrOrthoFailure : public BelosError {public:
    PseudoBlockGmresSolMgrOrthoFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
  template<class ScalarType, class MV, class OP>
  class PseudoBlockGmresSolMgr : public SolverManager<ScalarType,MV,OP> {
    
  private:
    typedef MultiVecTraits<ScalarType,MV> MVT;
    typedef OperatorTraits<ScalarType,MV,OP> OPT;
    typedef Teuchos::ScalarTraits<ScalarType> SCT;
    typedef typename Teuchos::ScalarTraits<ScalarType>::magnitudeType MagnitudeType;
    typedef Teuchos::ScalarTraits<MagnitudeType> MT;
    
  public:
    


    PseudoBlockGmresSolMgr();
    
    PseudoBlockGmresSolMgr( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
                const Teuchos::RCP<Teuchos::ParameterList> &pl );
    
    virtual ~PseudoBlockGmresSolMgr() {};
    

    
    const LinearProblem<ScalarType,MV,OP>& getProblem() const {
      return *problem_;
    }
    
    Teuchos::RCP<const Teuchos::ParameterList> getValidParameters() const;
   
    Teuchos::RCP<const Teuchos::ParameterList> getCurrentParameters() const { return params_; }
 
    Teuchos::Array<Teuchos::RCP<Teuchos::Time> > getTimers() const {
      return tuple(timerSolve_);
    }
  
    bool isLOADetected() const { return loaDetected_; }
  
    

    
    void setProblem( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem ) { problem_ = problem; }
    
    void setParameters( const Teuchos::RCP<Teuchos::ParameterList> &params );
    
    

    
    ReturnType solve();
    
    
    
    std::string description() const;
    
    
  private:

    // Method to convert std::string to enumerated type for residual.
    Belos::ScaleType convertStringToScaleType( const std::string& scaleType ) {
      if (scaleType == "Norm of Initial Residual") {
        return Belos::NormOfInitRes;
      } else if (scaleType == "Norm of Preconditioned Initial Residual") {
        return Belos::NormOfPrecInitRes;
      } else if (scaleType == "Norm of RHS") {
        return Belos::NormOfRHS;
      } else if (scaleType == "None") {
        return Belos::None;
      } else 
        TEST_FOR_EXCEPTION( true ,std::logic_error,
          "Belos::PseudoBlockGmresSolMgr(): Invalid residual scaling type.");
    }

    // Method for checking current status test against defined linear problem.
    bool checkStatusTest();
    
    // Linear problem.
    Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > problem_;
    
    // Output manager.
    Teuchos::RCP<OutputManager<ScalarType> > printer_;
    Teuchos::RCP<std::ostream> outputStream_;

    // Status test.
    Teuchos::RCP<StatusTest<ScalarType,MV,OP> > sTest_;
    Teuchos::RCP<StatusTestMaxIters<ScalarType,MV,OP> > maxIterTest_;
    Teuchos::RCP<StatusTest<ScalarType,MV,OP> > convTest_;
    Teuchos::RCP<StatusTestResNorm<ScalarType,MV,OP> > impConvTest_, expConvTest_;
    Teuchos::RCP<StatusTestOutput<ScalarType,MV,OP> > outputTest_;

    // Orthogonalization manager.
    Teuchos::RCP<MatOrthoManager<ScalarType,MV,OP> > ortho_; 

     // Current parameter list.
    Teuchos::RCP<ParameterList> params_;
   
    // Default solver values.
    static const MagnitudeType convtol_default_;
    static const MagnitudeType orthoKappa_default_;
    static const int maxRestarts_default_;
    static const int maxIters_default_;
    static const bool adaptiveBlockSize_default_;
    static const bool showMaxResNormOnly_default_;
    static const int blockSize_default_;
    static const int numBlocks_default_;
    static const int verbosity_default_;
    static const int outputFreq_default_;
    static const int defQuorum_default_;
    static const std::string impResScale_default_; 
    static const std::string expResScale_default_; 
    static const std::string label_default_;
    static const std::string orthoType_default_;
    static const Teuchos::RCP<std::ostream> outputStream_default_;

    // Current solver values.
    MagnitudeType convtol_, orthoKappa_;
    int maxRestarts_, maxIters_;
    int blockSize_, numBlocks_, verbosity_, outputFreq_, defQuorum_;
    bool adaptiveBlockSize_, showMaxResNormOnly_;
    std::string orthoType_; 
    std::string impResScale_, expResScale_;       
 
    // Timers.
    std::string label_;
    Teuchos::RCP<Teuchos::Time> timerSolve_;

    // Internal state variables.
    bool isSet_, isSTSet_, expResTest_;
    bool loaDetected_;
  };
  
  
// Default solver values.
template<class ScalarType, class MV, class OP>
const typename Teuchos::ScalarTraits<ScalarType>::magnitudeType PseudoBlockGmresSolMgr<ScalarType,MV,OP>::convtol_default_ = 1e-8;

template<class ScalarType, class MV, class OP>
const typename Teuchos::ScalarTraits<ScalarType>::magnitudeType PseudoBlockGmresSolMgr<ScalarType,MV,OP>::orthoKappa_default_ = -1.0;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::maxRestarts_default_ = 20;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::maxIters_default_ = 1000;

template<class ScalarType, class MV, class OP>
const bool PseudoBlockGmresSolMgr<ScalarType,MV,OP>::adaptiveBlockSize_default_ = true;

template<class ScalarType, class MV, class OP>
const bool PseudoBlockGmresSolMgr<ScalarType,MV,OP>::showMaxResNormOnly_default_ = false;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::blockSize_default_ = 1;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::numBlocks_default_ = 300;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::verbosity_default_ = Belos::Errors;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::outputFreq_default_ = -1;

template<class ScalarType, class MV, class OP>
const int PseudoBlockGmresSolMgr<ScalarType,MV,OP>::defQuorum_default_ = 1;

template<class ScalarType, class MV, class OP>
const std::string PseudoBlockGmresSolMgr<ScalarType,MV,OP>::impResScale_default_ = "Norm of Preconditioned Initial Residual";

template<class ScalarType, class MV, class OP>
const std::string PseudoBlockGmresSolMgr<ScalarType,MV,OP>::expResScale_default_ = "Norm of Initial Residual";

template<class ScalarType, class MV, class OP>
const std::string PseudoBlockGmresSolMgr<ScalarType,MV,OP>::label_default_ = "Belos";

template<class ScalarType, class MV, class OP>
const std::string PseudoBlockGmresSolMgr<ScalarType,MV,OP>::orthoType_default_ = "DGKS";

template<class ScalarType, class MV, class OP>
const Teuchos::RCP<std::ostream> PseudoBlockGmresSolMgr<ScalarType,MV,OP>::outputStream_default_ = Teuchos::rcp(&std::cout,false);


// Empty Constructor
template<class ScalarType, class MV, class OP>
PseudoBlockGmresSolMgr<ScalarType,MV,OP>::PseudoBlockGmresSolMgr() :
  outputStream_(outputStream_default_),
  convtol_(convtol_default_),
  orthoKappa_(orthoKappa_default_),
  maxRestarts_(maxRestarts_default_),
  maxIters_(maxIters_default_),
  blockSize_(blockSize_default_),
  numBlocks_(numBlocks_default_),
  verbosity_(verbosity_default_),
  outputFreq_(outputFreq_default_),
  defQuorum_(defQuorum_default_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  orthoType_(orthoType_default_),
  impResScale_(impResScale_default_),
  expResScale_(expResScale_default_),
  label_(label_default_),
  isSet_(false),
  isSTSet_(false),
  expResTest_(false),
  loaDetected_(false)
{}

// Basic Constructor
template<class ScalarType, class MV, class OP>
PseudoBlockGmresSolMgr<ScalarType,MV,OP>::PseudoBlockGmresSolMgr( 
                 const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
                 const Teuchos::RCP<Teuchos::ParameterList> &pl ) : 
  problem_(problem),
  outputStream_(outputStream_default_),
  convtol_(convtol_default_),
  orthoKappa_(orthoKappa_default_),
  maxRestarts_(maxRestarts_default_),
  maxIters_(maxIters_default_),
  blockSize_(blockSize_default_),
  numBlocks_(numBlocks_default_),
  verbosity_(verbosity_default_),
  outputFreq_(outputFreq_default_),
  defQuorum_(defQuorum_default_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  orthoType_(orthoType_default_),
  impResScale_(impResScale_default_),
  expResScale_(expResScale_default_),
  label_(label_default_),
  isSet_(false),
  isSTSet_(false),
  expResTest_(false),
  loaDetected_(false)
{
  TEST_FOR_EXCEPTION(problem_ == Teuchos::null, std::invalid_argument, "Problem not given to solver manager.");

  // If the parameter list pointer is null, then set the current parameters to the default parameter list.
  if (!is_null(pl)) {
    // Set the parameters using the list that was passed in.
    setParameters( pl );  
  }
}

template<class ScalarType, class MV, class OP>
void PseudoBlockGmresSolMgr<ScalarType,MV,OP>::setParameters( const Teuchos::RCP<Teuchos::ParameterList> &params )
{
  // Create the internal parameter list if ones doesn't already exist.
  if (params_ == Teuchos::null) {
    params_ = Teuchos::rcp( new Teuchos::ParameterList(*getValidParameters()) );
  }
  else {
    params->validateParameters(*getValidParameters());
  }

  // Check for maximum number of restarts
  if (params->isParameter("Maximum Restarts")) {
    maxRestarts_ = params->get("Maximum Restarts",maxRestarts_default_);

    // Update parameter in our list.
    params_->set("Maximum Restarts", maxRestarts_);
  }

  // Check for maximum number of iterations
  if (params->isParameter("Maximum Iterations")) {
    maxIters_ = params->get("Maximum Iterations",maxIters_default_);

    // Update parameter in our list and in status test.
    params_->set("Maximum Iterations", maxIters_);
    if (maxIterTest_!=Teuchos::null)
      maxIterTest_->setMaxIters( maxIters_ );
  }

  // Check for blocksize
  if (params->isParameter("Block Size")) {
    blockSize_ = params->get("Block Size",blockSize_default_);    
    TEST_FOR_EXCEPTION(blockSize_ <= 0, std::invalid_argument,
           "Belos::PseudoBlockGmresSolMgr: \"Block Size\" must be strictly positive.");

    // Update parameter in our list.
    params_->set("Block Size", blockSize_);
  }

  // Check if the blocksize should be adaptive
  if (params->isParameter("Adapative Block Size")) {
    adaptiveBlockSize_ = params->get("Adaptive Block Size",adaptiveBlockSize_default_);
    
    // Update parameter in our list.
    params_->set("Adaptive Block Size", adaptiveBlockSize_);
  }

  // Check for the maximum number of blocks.
  if (params->isParameter("Num Blocks")) {
    numBlocks_ = params->get("Num Blocks",numBlocks_default_);
    TEST_FOR_EXCEPTION(numBlocks_ <= 0, std::invalid_argument,
           "Belos::PseudoBlockGmresSolMgr: \"Num Blocks\" must be strictly positive.");

    // Update parameter in our list.
    params_->set("Num Blocks", numBlocks_);
  }

  // Check to see if the timer label changed.
  if (params->isParameter("Timer Label")) {
    std::string tempLabel = params->get("Timer Label", label_default_);

    // Update parameter in our list and solver timer
    if (tempLabel != label_) {
      label_ = tempLabel;
      params_->set("Timer Label", label_);
      std::string solveLabel = label_ + ": PseudoBlockGmresSolMgr total solve time";
      timerSolve_ = Teuchos::TimeMonitor::getNewTimer(solveLabel);
    }
  }

  // Check if the orthogonalization changed.
  if (params->isParameter("Orthogonalization")) {
    std::string tempOrthoType = params->get("Orthogonalization",orthoType_default_);
    TEST_FOR_EXCEPTION( tempOrthoType != "DGKS" && tempOrthoType != "ICGS" && tempOrthoType != "IMGS", 
                        std::invalid_argument,
      "Belos::PseudoBlockGmresSolMgr: \"Orthogonalization\" must be either \"DGKS\",\"ICGS\", or \"IMGS\".");
    if (tempOrthoType != orthoType_) {
      orthoType_ = tempOrthoType;
      // Create orthogonalization manager
      if (orthoType_=="DGKS") {
  if (orthoKappa_ <= 0) {
    ortho_ = Teuchos::rcp( new DGKSOrthoManager<ScalarType,MV,OP>( label_ ) );
  }
  else {
    ortho_ = Teuchos::rcp( new DGKSOrthoManager<ScalarType,MV,OP>( label_ ) );
    Teuchos::rcp_dynamic_cast<DGKSOrthoManager<ScalarType,MV,OP> >(ortho_)->setDepTol( orthoKappa_ );
  }
      }
      else if (orthoType_=="ICGS") {
  ortho_ = Teuchos::rcp( new ICGSOrthoManager<ScalarType,MV,OP>( label_ ) );
      } 
      else if (orthoType_=="IMGS") {
  ortho_ = Teuchos::rcp( new IMGSOrthoManager<ScalarType,MV,OP>( label_ ) );
      } 
    }  
  }

  // Check which orthogonalization constant to use.
  if (params->isParameter("Orthogonalization Constant")) {
    orthoKappa_ = params->get("Orthogonalization Constant",orthoKappa_default_);

    // Update parameter in our list.
    params_->set("Orthogonalization Constant",orthoKappa_);
    if (orthoType_=="DGKS") {
      if (orthoKappa_ > 0 && ortho_ != Teuchos::null) {
  Teuchos::rcp_dynamic_cast<DGKSOrthoManager<ScalarType,MV,OP> >(ortho_)->setDepTol( orthoKappa_ );
      }
    } 
  }

  // Check for a change in verbosity level
  if (params->isParameter("Verbosity")) {
    if (Teuchos::isParameterType<int>(*params,"Verbosity")) {
      verbosity_ = params->get("Verbosity", verbosity_default_);
    } else {
      verbosity_ = (int)Teuchos::getParameter<Belos::MsgType>(*params,"Verbosity");
    }

    // Update parameter in our list.
    params_->set("Verbosity", verbosity_);
    if (printer_ != Teuchos::null)
      printer_->setVerbosity(verbosity_);
  }

  // output stream
  if (params->isParameter("Output Stream")) {
    outputStream_ = Teuchos::getParameter<Teuchos::RCP<std::ostream> >(*params,"Output Stream");

    // Update parameter in our list.
    params_->set("Output Stream", outputStream_);
    if (printer_ != Teuchos::null)
      printer_->setOStream( outputStream_ );
  }

  // frequency level
  if (verbosity_ & Belos::StatusTestDetails) {
    if (params->isParameter("Output Frequency")) {
      outputFreq_ = params->get("Output Frequency", outputFreq_default_);
    }

    // Update parameter in out list and output status test.
    params_->set("Output Frequency", outputFreq_);
    if (outputTest_ != Teuchos::null)
      outputTest_->setOutputFrequency( outputFreq_ );
  }

  // Create output manager if we need to.
  if (printer_ == Teuchos::null) {
    printer_ = Teuchos::rcp( new OutputManager<ScalarType>(verbosity_, outputStream_) );
  }
  
  // Convergence
  typedef Belos::StatusTestCombo<ScalarType,MV,OP>  StatusTestCombo_t;
  typedef Belos::StatusTestGenResNorm<ScalarType,MV,OP>  StatusTestResNorm_t;

  // Check for convergence tolerance
  if (params->isParameter("Convergence Tolerance")) {
    convtol_ = params->get("Convergence Tolerance",convtol_default_);

    // Update parameter in our list and residual tests.
    params_->set("Convergence Tolerance", convtol_);
    if (impConvTest_ != Teuchos::null)
      impConvTest_->setTolerance( convtol_ );
    if (expConvTest_ != Teuchos::null)
      expConvTest_->setTolerance( convtol_ );
  }

  // Check for a change in scaling, if so we need to build new residual tests.
  bool newImpResTest = false, newExpResTest = false; 
  if (params->isParameter("Implicit Residual Scaling")) {
    std::string tempImpResScale = Teuchos::getParameter<std::string>( *params, "Implicit Residual Scaling" );

    // Only update the scaling if it's different.
    if (impResScale_ != tempImpResScale) {
      Belos::ScaleType impResScaleType = convertStringToScaleType( tempImpResScale );
      impResScale_ = tempImpResScale;

      // Update parameter in our list and residual tests
      params_->set("Implicit Residual Scaling", impResScale_);
      if (impConvTest_ != Teuchos::null) {
        try {
          impConvTest_->defineScaleForm( impResScaleType, Belos::TwoNorm );
        }
        catch (std::exception& e) {
    // Make sure the convergence test gets constructed again.
          isSTSet_ = false;
    newImpResTest = true;
        }
      }
    }      
  }
  
  if (params->isParameter("Explicit Residual Scaling")) {
    std::string tempExpResScale = Teuchos::getParameter<std::string>( *params, "Explicit Residual Scaling" );

    // Only update the scaling if it's different.
    if (expResScale_ != tempExpResScale) {
      Belos::ScaleType expResScaleType = convertStringToScaleType( tempExpResScale );
      expResScale_ = tempExpResScale;

      // Update parameter in our list and residual tests
      params_->set("Explicit Residual Scaling", expResScale_);
      if (expConvTest_ != Teuchos::null) {
        try {
          expConvTest_->defineScaleForm( expResScaleType, Belos::TwoNorm );
        }
        catch (std::exception& e) {
    // Make sure the convergence test gets constructed again.
          isSTSet_ = false;
    newExpResTest = true;
        }
      }
    }      
  }


  if (params->isParameter("Show Maximum Residual Norm Only")) {
    showMaxResNormOnly_ = Teuchos::getParameter<bool>(*params,"Show Maximum Residual Norm Only");

    // Update parameter in our list and residual tests
    params_->set("Show Maximum Residual Norm Only", showMaxResNormOnly_);
    if (impConvTest_ != Teuchos::null)
      impConvTest_->setShowMaxResNormOnly( showMaxResNormOnly_ );
    if (expConvTest_ != Teuchos::null)
      expConvTest_->setShowMaxResNormOnly( showMaxResNormOnly_ );
  }

  // Create status tests if we need to.

  // Get the deflation quorum, or number of converged systems before deflation is allowed
  if (params->isParameter("Deflation Quorum")) {
    defQuorum_ = params->get("Deflation Quorum", defQuorum_);
    TEST_FOR_EXCEPTION(defQuorum_ > blockSize_, std::invalid_argument,
           "Belos::PseudoBlockGmresSolMgr: \"Deflation Quorum\" cannot be larger than \"Block Size\".");
    params_->set("Deflation Quorum", defQuorum_);
    if (impConvTest_ != Teuchos::null)
      impConvTest_->setQuorum( defQuorum_ );
    if (expConvTest_ != Teuchos::null)
      expConvTest_->setQuorum( defQuorum_ );
  }

  // Create orthogonalization manager if we need to.
  if (ortho_ == Teuchos::null) {
    if (orthoType_=="DGKS") {
      if (orthoKappa_ <= 0) {
  ortho_ = Teuchos::rcp( new DGKSOrthoManager<ScalarType,MV,OP>( label_ ) );
      }
      else {
  ortho_ = Teuchos::rcp( new DGKSOrthoManager<ScalarType,MV,OP>( label_ ) );
  Teuchos::rcp_dynamic_cast<DGKSOrthoManager<ScalarType,MV,OP> >(ortho_)->setDepTol( orthoKappa_ );
      }
    }
    else if (orthoType_=="ICGS") {
      ortho_ = Teuchos::rcp( new ICGSOrthoManager<ScalarType,MV,OP>( label_ ) );
    } 
    else if (orthoType_=="IMGS") {
      ortho_ = Teuchos::rcp( new IMGSOrthoManager<ScalarType,MV,OP>( label_ ) );
    } 
    else {
      TEST_FOR_EXCEPTION(orthoType_!="ICGS"&&orthoType_!="DGKS"&&orthoType_!="IMGS",std::logic_error,
       "Belos::PseudoBlockGmresSolMgr(): Invalid orthogonalization type.");
    }  
  }

  // Create the timer if we need to.
  if (timerSolve_ == Teuchos::null) {
    std::string solveLabel = label_ + ": PseudoBlockGmresSolMgr total solve time";
    timerSolve_ = Teuchos::TimeMonitor::getNewTimer(solveLabel);
  }

  // Inform the solver manager that the current parameters were set.
  isSet_ = true;
}

    
template<class ScalarType, class MV, class OP>
Teuchos::RCP<const Teuchos::ParameterList>
PseudoBlockGmresSolMgr<ScalarType,MV,OP>::getValidParameters() const
{
  static Teuchos::RCP<const Teuchos::ParameterList> validPL;
  if (is_null(validPL)) {
    Teuchos::RCP<Teuchos::ParameterList> pl = Teuchos::parameterList();
  // Set all the valid parameters and their default values.
    pl= Teuchos::rcp( new Teuchos::ParameterList() );
    pl->set("Convergence Tolerance", convtol_default_,
      "The relative residual tolerance that needs to be achieved by the\n"
      "iterative solver in order for the linera system to be declared converged.");
    pl->set("Maximum Restarts", maxRestarts_default_,
      "The maximum number of restarts allowed for each\n"
      "set of RHS solved.");
    pl->set("Maximum Iterations", maxIters_default_,
      "The maximum number of block iterations allowed for each\n"
      "set of RHS solved.");
    pl->set("Num Blocks", numBlocks_default_,
      "The maximum number of vectors allowed in the Krylov subspace\n"
      "for each set of RHS solved.");
    pl->set("Block Size", blockSize_default_,
      "The number of RHS solved simultaneously.");
    pl->set("Adaptive Block Size", adaptiveBlockSize_default_,
      "Whether the solver manager should adapt the block size\n"
      "based on the number of RHS to solve.");
    pl->set("Verbosity", verbosity_default_,
      "What type(s) of solver information should be outputted\n"
      "to the output stream.");
    pl->set("Output Frequency", outputFreq_default_,
      "How often convergence information should be outputted\n"
      "to the output stream.");  
    pl->set("Deflation Quorum", defQuorum_default_,
      "The number of linear systems that need to converge before\n"
      "they are deflated.  This number should be <= block size.");
    pl->set("Output Stream", outputStream_default_,
      "A reference-counted pointer to the output stream where all\n"
      "solver output is sent.");
    pl->set("Show Maximum Residual Norm Only", showMaxResNormOnly_default_,
      "When convergence information is printed, only show the maximum\n"
      "relative residual norm when the block size is greater than one.");
    pl->set("Implicit Residual Scaling", impResScale_default_,
      "The type of scaling used in the implicit residual convergence test.");
    pl->set("Explicit Residual Scaling", expResScale_default_,
      "The type of scaling used in the explicit residual convergence test.");
    pl->set("Timer Label", label_default_,
      "The string to use as a prefix for the timer labels.");
    //  defaultParams_->set("Restart Timers", restartTimers_);
    pl->set("Orthogonalization", orthoType_default_,
      "The type of orthogonalization to use: DGKS, ICGS, IMGS.");
    pl->set("Orthogonalization Constant",orthoKappa_default_,
      "The constant used by DGKS orthogonalization to determine\n"
      "whether another step of classical Gram-Schmidt is necessary.");
    validPL = pl;
  }
  return validPL;
}

// Check the status test versus the defined linear problem
template<class ScalarType, class MV, class OP>
bool PseudoBlockGmresSolMgr<ScalarType,MV,OP>::checkStatusTest() {

  typedef Belos::StatusTestCombo<ScalarType,MV,OP>  StatusTestCombo_t;
  typedef Belos::StatusTestGenResNorm<ScalarType,MV,OP>  StatusTestGenResNorm_t;
  typedef Belos::StatusTestImpResNorm<ScalarType,MV,OP>  StatusTestImpResNorm_t;

  // Basic test checks maximum iterations and native residual.
  maxIterTest_ = Teuchos::rcp( new StatusTestMaxIters<ScalarType,MV,OP>( maxIters_ ) );

  // If there is a left preconditioner, we create a combined status test that checks the implicit
  // and then explicit residual norm to see if we have convergence.
  if ( !Teuchos::is_null(problem_->getLeftPrec()) ) {
    expResTest_ = true;
  }

  if (expResTest_) {
   
    // Implicit residual test, using the native residual to determine if convergence was achieved.
    Teuchos::RCP<StatusTestGenResNorm_t> tmpImpConvTest =
      Teuchos::rcp( new StatusTestGenResNorm_t( convtol_, defQuorum_ ) );
    tmpImpConvTest->defineScaleForm( convertStringToScaleType(impResScale_), Belos::TwoNorm );
    tmpImpConvTest->setShowMaxResNormOnly( showMaxResNormOnly_ );
    impConvTest_ = tmpImpConvTest;

    // Explicit residual test once the native residual is below the tolerance
    Teuchos::RCP<StatusTestGenResNorm_t> tmpExpConvTest =
      Teuchos::rcp( new StatusTestGenResNorm_t( convtol_, defQuorum_ ) );
    tmpExpConvTest->defineResForm( StatusTestGenResNorm_t::Explicit, Belos::TwoNorm );
    tmpExpConvTest->defineScaleForm( convertStringToScaleType(expResScale_), Belos::TwoNorm );
    tmpExpConvTest->setShowMaxResNormOnly( showMaxResNormOnly_ );
    expConvTest_ = tmpExpConvTest;

    // The convergence test is a combination of the "cheap" implicit test and explicit test.
    convTest_ = Teuchos::rcp( new StatusTestCombo_t( StatusTestCombo_t::SEQ, impConvTest_, expConvTest_ ) );
  }
  else {

    // Implicit residual test, using the native residual to determine if convergence was achieved.
    // Use test that checks for loss of accuracy.
    Teuchos::RCP<StatusTestImpResNorm_t> tmpImpConvTest =
      Teuchos::rcp( new StatusTestImpResNorm_t( convtol_, defQuorum_ ) );
    tmpImpConvTest->defineScaleForm( convertStringToScaleType(impResScale_), Belos::TwoNorm );
    tmpImpConvTest->setShowMaxResNormOnly( showMaxResNormOnly_ );
    impConvTest_ = tmpImpConvTest;
    
    // Set the explicit and total convergence test to this implicit test that checks for accuracy loss.
    expConvTest_ = impConvTest_;
    convTest_ = impConvTest_;
  }

  sTest_ = Teuchos::rcp( new StatusTestCombo_t( StatusTestCombo_t::OR, maxIterTest_, convTest_ ) );

  if (outputFreq_ > 0) {
    outputTest_ = Teuchos::rcp( new StatusTestOutput<ScalarType,MV,OP>( printer_,
        sTest_,
        outputFreq_,
        Passed+Failed+Undefined ) );
  }
  else {
    outputTest_ = Teuchos::rcp( new StatusTestOutput<ScalarType,MV,OP>( printer_,
        sTest_, 1 ) );
  }

  // The status test is now set.
  isSTSet_ = true;

  return false;
}


// solve()
template<class ScalarType, class MV, class OP>
ReturnType PseudoBlockGmresSolMgr<ScalarType,MV,OP>::solve() {

  // Set the current parameters if they were not set before.
  // NOTE:  This may occur if the user generated the solver manager with the default constructor and 
  // then didn't set any parameters using setParameters().
  if (!isSet_) { setParameters( params_ ); }
  
  Teuchos::BLAS<int,ScalarType> blas;
  Teuchos::LAPACK<int,ScalarType> lapack;
  
  TEST_FOR_EXCEPTION(!problem_->isProblemSet(),PseudoBlockGmresSolMgrLinearProblemFailure,
                     "Belos::PseudoBlockGmresSolMgr::solve(): Linear problem is not ready, setProblem() has not been called.");

  // Check if we have to create the status tests.
  if (!isSTSet_ || (!expResTest_ && !Teuchos::is_null(problem_->getLeftPrec())) ) {
    TEST_FOR_EXCEPTION( checkStatusTest(),PseudoBlockGmresSolMgrLinearProblemFailure,
      "Belos::BlockGmresSolMgr::solve(): Linear problem and requested status tests are incompatible.");
  }

  // Create indices for the linear systems to be solved.
  int startPtr = 0;
  int numRHS2Solve = MVT::GetNumberVecs( *(problem_->getRHS()) );
  int numCurrRHS = ( numRHS2Solve < blockSize_) ? numRHS2Solve : blockSize_;

  std::vector<int> currIdx;
  //  If an adaptive block size is allowed then only the linear systems that need to be solved are solved.
  //  Otherwise, the index set is generated that informs the linear problem that some linear systems are augmented.
  if ( adaptiveBlockSize_ ) {
    blockSize_ = numCurrRHS;
    currIdx.resize( numCurrRHS  );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; }
    
  }
  else {
    currIdx.resize( blockSize_ );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; }
    for (int i=numCurrRHS; i<blockSize_; ++i) 
      { currIdx[i] = -1; }
  }

  // Inform the linear problem of the current linear system to solve.
  problem_->setLSIndex( currIdx );

  // Parameter list
  Teuchos::ParameterList plist;
  plist.set("Num Blocks",numBlocks_);
  
  // Reset the status test.  
  outputTest_->reset();
  loaDetected_ = false;

  // Assume convergence is achieved, then let any failed convergence set this to false.
  bool isConverged = true;  

  // BlockGmres solver

  Teuchos::RCP<PseudoBlockGmresIter<ScalarType,MV,OP> > block_gmres_iter
    = Teuchos::rcp( new PseudoBlockGmresIter<ScalarType,MV,OP>(problem_,printer_,outputTest_,ortho_,plist) );  

  // Enter solve() iterations
  {
    Teuchos::TimeMonitor slvtimer(*timerSolve_);

    while ( numRHS2Solve > 0 ) {

      // Reset the active / converged vectors from this block
      std::vector<int> convRHSIdx;
      std::vector<int> currRHSIdx( currIdx );
      currRHSIdx.resize(numCurrRHS);

      // Set the current number of blocks with the pseudo Gmres iteration.
      block_gmres_iter->setNumBlocks( numBlocks_ );

      // Reset the number of iterations.
      block_gmres_iter->resetNumIters();

      // Reset the number of calls that the status test output knows about.
      outputTest_->resetNumCalls();

      // Get a new state struct and initialize the solver.
      PseudoBlockGmresIterState<ScalarType,MV> newState;

      // Create the first block in the current Krylov basis for each right-hand side.
      std::vector<int> index(1);
      Teuchos::RCP<MV> tmpV, R_0 = MVT::CloneCopy( *(problem_->getInitPrecResVec()), currIdx );
      newState.V.resize( blockSize_ );
      newState.Z.resize( blockSize_ );
      for (int i=0; i<blockSize_; ++i) {
  index[0]=i;
  tmpV = MVT::CloneView( *R_0, index );
  
  // Get a matrix to hold the orthonormalization coefficients.
  Teuchos::RCP<Teuchos::SerialDenseVector<int,ScalarType> > tmpZ
    = Teuchos::rcp( new Teuchos::SerialDenseVector<int,ScalarType>( 1 ));
      
  // Orthonormalize the new V_0
  int rank = ortho_->normalize( *tmpV, tmpZ );
  TEST_FOR_EXCEPTION(rank != 1, PseudoBlockGmresSolMgrOrthoFailure,
         "Belos::PseudoBlockGmresSolMgr::solve(): Failed to compute initial block of orthonormal vectors.");

  newState.V[i] = tmpV;
  newState.Z[i] = tmpZ;
      }

      newState.curDim = 0;
      block_gmres_iter->initialize(newState);
      int numRestarts = 0;

      while(1) {
  
  // tell block_gmres_iter to iterate
  try {
    block_gmres_iter->iterate();
    
    //
    // check convergence first
    //
    if ( convTest_->getStatus() == Passed ) {

      if ( expConvTest_->getLOADetected() ) {
              // we don't have convergence but we will deflate out the linear systems and move on.
              loaDetected_ = true;
              isConverged = false;
            }

      // Figure out which linear systems converged.
      std::vector<int> convIdx = expConvTest_->convIndices();

      // If the number of converged linear systems is equal to the
            // number of current linear systems, then we are done with this block.
      if (convIdx.size() == currRHSIdx.size())
        break;  // break from while(1){block_gmres_iter->iterate()}

      // Get a new state struct and initialize the solver.
      PseudoBlockGmresIterState<ScalarType,MV> newState;

      // Inform the linear problem that we are finished with this current linear system.
      problem_->setCurrLS();

      // Get the state.
      PseudoBlockGmresIterState<ScalarType,MV> oldState = block_gmres_iter->getState();
      int curDim = oldState.curDim;
      std::vector<int> index( curDim );
      for (int i=0; i<curDim; ++i) { index[i] = i; }        

      // Get a new state struct and reset currRHSIdx to have the right-hand sides that 
      // are left to converge for this block.
      int have = 0;
      std::vector<int> oldRHSIdx( currRHSIdx );
      std::vector<int> defRHSIdx;
      for (unsigned int i=0; i<currRHSIdx.size(); ++i) {
        bool found = false;
        for (unsigned int j=0; j<convIdx.size(); ++j) {
    if (currRHSIdx[i] == convIdx[j]) {
      found = true;
      break;
    }
        }
        if (found) {
    defRHSIdx.push_back( i );
        }
        else {
    newState.V.push_back( Teuchos::rcp_const_cast<MV>( oldState.V[i] ) );
    newState.Z.push_back( Teuchos::rcp_const_cast<Teuchos::SerialDenseVector<int,ScalarType> >( oldState.Z[i] ) );
    newState.H.push_back( Teuchos::rcp_const_cast<Teuchos::SerialDenseMatrix<int,ScalarType> >( oldState.H[i] ) );
    newState.sn.push_back( Teuchos::rcp_const_cast<Teuchos::SerialDenseVector<int,ScalarType> >( oldState.sn[i] ) );
    newState.cs.push_back( Teuchos::rcp_const_cast<Teuchos::SerialDenseVector<int,MagnitudeType> >(oldState.cs[i] ) );
    currRHSIdx[have] = currRHSIdx[i];
    have++;
        }
      }
      defRHSIdx.resize(currRHSIdx.size()-have);
      currRHSIdx.resize(have);

      // Compute the current solution that needs to be deflated if this solver has taken any steps.
      if (curDim) {
        Teuchos::RCP<MV> update = block_gmres_iter->getCurrentUpdate();
        Teuchos::RCP<MV> defUpdate = MVT::CloneView( *update, defRHSIdx );
        
        // Set the deflated indices so we can update the solution.
        problem_->setLSIndex( convIdx );
        
        // Update the linear problem.
        problem_->updateSolution( defUpdate, true );
      }
      
      // Set the remaining indices after deflation.
      problem_->setLSIndex( currRHSIdx );
      
      // Set the dimension of the subspace, which is the same as the old subspace size.
      newState.curDim = curDim;
      
      // Initialize the solver with the deflated system.
      block_gmres_iter->initialize(newState);
    }
    //
    // check for maximum iterations
    //
    else if ( maxIterTest_->getStatus() == Passed ) {
      // we don't have convergence
      isConverged = false;
      break;  // break from while(1){block_gmres_iter->iterate()}
    }
    //
    // check for restarting, i.e. the subspace is full
    //
    else if ( block_gmres_iter->getCurSubspaceDim() == block_gmres_iter->getMaxSubspaceDim() ) {
  
      if ( numRestarts >= maxRestarts_ ) {
        isConverged = false;
        break; // break from while(1){block_gmres_iter->iterate()}
      }
      numRestarts++;

      printer_->stream(Debug) << " Performing restart number " << numRestarts << " of " << maxRestarts_ << std::endl << std::endl;
      
      // Update the linear problem.
      Teuchos::RCP<MV> update = block_gmres_iter->getCurrentUpdate();
      problem_->updateSolution( update, true );
      
      // Get the state.
      PseudoBlockGmresIterState<ScalarType,MV> oldState = block_gmres_iter->getState();
      
      // Set the new state.
      PseudoBlockGmresIterState<ScalarType,MV> newstate;
      newstate.V.resize(currRHSIdx.size());
      newstate.Z.resize(currRHSIdx.size());

      // Compute the restart vectors
      // NOTE: Force the linear problem to update the current residual since the solution was updated.
      Teuchos::RCP<MV> R_0 = MVT::Clone( *(problem_->getInitPrecResVec()), currRHSIdx.size() );
      problem_->computeCurrPrecResVec( &*R_0 );
      std::vector<int> index(1);
      for (unsigned int i=0; i<currRHSIdx.size(); ++i) {
        index[0] = i;
  
        tmpV = MVT::CloneView( *R_0, index );
  
        // Get a matrix to hold the orthonormalization coefficients.
        Teuchos::RCP<Teuchos::SerialDenseVector<int,ScalarType> > tmpZ
    = Teuchos::rcp( new Teuchos::SerialDenseVector<int,ScalarType>( 1 ));
        
        // Orthonormalize the new V_0
        int rank = ortho_->normalize( *tmpV, tmpZ );
        TEST_FOR_EXCEPTION(rank != 1 ,PseudoBlockGmresSolMgrOrthoFailure,
         "Belos::PseudoBlockGmresSolMgr::solve(): Failed to compute initial block of orthonormal vectors after the restart.");
        
        newstate.V[i] = tmpV;
        newstate.Z[i] = tmpZ;
      }

      // Initialize the solver.
      newstate.curDim = 0;
      block_gmres_iter->initialize(newstate);

    } // end of restarting

    //
    // we returned from iterate(), but none of our status tests Passed.
    // something is wrong, and it is probably our fault.
    //

    else {
      TEST_FOR_EXCEPTION(true,std::logic_error,
             "Belos::PseudoBlockGmresSolMgr::solve(): Invalid return from PseudoBlockGmresIter::iterate().");
    }
  }
        catch (PseudoBlockGmresIterOrthoFailure e) {
     
    // Try to recover the most recent least-squares solution
    block_gmres_iter->updateLSQR( block_gmres_iter->getCurSubspaceDim() );

    // Check to see if the most recent least-squares solution yielded convergence.
    sTest_->checkStatus( &*block_gmres_iter );
    if (convTest_->getStatus() != Passed)
      isConverged = false;
    break;
        }
  catch (std::exception e) {
    printer_->stream(Errors) << "Error! Caught std::exception in PseudoBlockGmresIter::iterate() at iteration " 
          << block_gmres_iter->getNumIters() << std::endl 
          << e.what() << std::endl;
    throw;
  }
      }
      
      // Compute the current solution.
      // Update the linear problem.
      if ( !Teuchos::is_null(expConvTest_->getSolution()) ) {
        Teuchos::RCP<MV> newX = expConvTest_->getSolution();
        Teuchos::RCP<MV> curX = problem_->getCurrLHSVec();
        MVT::MvAddMv( 0.0, *newX, 1.0, *newX, *curX );
      }
      else {
        Teuchos::RCP<MV> update = block_gmres_iter->getCurrentUpdate();
        problem_->updateSolution( update, true );
      }

      // Inform the linear problem that we are finished with this block linear system.
      problem_->setCurrLS();
      
      // Update indices for the linear systems to be solved.
      startPtr += numCurrRHS;
      numRHS2Solve -= numCurrRHS;
      if ( numRHS2Solve > 0 ) {
  numCurrRHS = ( numRHS2Solve < blockSize_) ? numRHS2Solve : blockSize_;

  if ( adaptiveBlockSize_ ) {
          blockSize_ = numCurrRHS;
    currIdx.resize( numCurrRHS  );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; }    
    
    // Adapt the status test quorum if we need to.
    if (defQuorum_ > blockSize_) {
      if (impConvTest_ != Teuchos::null)
        impConvTest_->setQuorum( blockSize_ );
      if (expConvTest_ != Teuchos::null)
        expConvTest_->setQuorum( blockSize_ );
    }
  }
  else {
    currIdx.resize( blockSize_ );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; }
    for (int i=numCurrRHS; i<blockSize_; ++i) 
      { currIdx[i] = -1; }
  }
  // Set the next indices.
  problem_->setLSIndex( currIdx );
      }
      else {
        currIdx.resize( numRHS2Solve );
      }
      
    }// while ( numRHS2Solve > 0 )
    
  }

  // print final summary
  sTest_->print( printer_->stream(FinalSummary) );
 
  // print timing information
  Teuchos::TimeMonitor::summarize( printer_->stream(TimingDetails) );
  
  if (!isConverged || loaDetected_) {
    return Unconverged; // return from PseudoBlockGmresSolMgr::solve() 
  }
  return Converged; // return from PseudoBlockGmresSolMgr::solve() 
}

//  This method requires the solver manager to return a std::string that describes itself.
template<class ScalarType, class MV, class OP>
std::string PseudoBlockGmresSolMgr<ScalarType,MV,OP>::description() const
{
  std::ostringstream oss;
  oss << "Belos::PseudoBlockGmresSolMgr<...,"<<Teuchos::ScalarTraits<ScalarType>::name()<<">";
  oss << "{";
  oss << "Ortho Type='"<<orthoType_<<"\', Block Size=" <<blockSize_;
  oss << ", Num Blocks="<<numBlocks_<< ", Max Restarts=" << maxRestarts_;
  oss << "}";
  return oss.str();
}
  
} // end Belos namespace

#endif /* BELOS_PSEUDO_BLOCK_GMRES_SOLMGR_HPP */

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