BelosBlockGmresSolMgr.hpp

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

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

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

#include "BelosGmresIteration.hpp"
#include "BelosBlockGmresIter.hpp"
#include "BelosBlockFGmresIter.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 BlockGmresSolMgrLinearProblemFailure : public BelosError {public:
  BlockGmresSolMgrLinearProblemFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
class BlockGmresSolMgrOrthoFailure : public BelosError {public:
  BlockGmresSolMgrOrthoFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
template<class ScalarType, class MV, class OP>
class BlockGmresSolMgr : 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:
    

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

    
  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_);
  }
  
  int getNumIters() const {
    return numIters_;
  } 
 
  bool isLOADetected() const { return loaDetected_; }
 
    

    
  void setProblem( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem ) { problem_ = problem; isSTSet_ = false; }
    
  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( 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::BlockGmresSolMgr(): 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> > expConvTest_, impConvTest_;
  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 bool flexibleGmres_default_;
  static const bool expResTest_default_;
  static const int blockSize_default_;
  static const int numBlocks_default_;
  static const int verbosity_default_;
  static const int outputFreq_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_, numIters_;
  int blockSize_, numBlocks_, verbosity_, outputFreq_;
  bool adaptiveBlockSize_, showMaxResNormOnly_, isFlexible_, expResTest_;
  std::string orthoType_; 
  std::string impResScale_, expResScale_;
    
  // Timers.
  std::string label_;
  Teuchos::RCP<Teuchos::Time> timerSolve_;

  // Internal state variables.
  bool isSet_, isSTSet_;
  bool loaDetected_;
};


// Default solver values.
template<class ScalarType, class MV, class OP>
const typename Teuchos::ScalarTraits<ScalarType>::magnitudeType BlockGmresSolMgr<ScalarType,MV,OP>::convtol_default_ = 1e-8;

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

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

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

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

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

template<class ScalarType, class MV, class OP>
const bool BlockGmresSolMgr<ScalarType,MV,OP>::flexibleGmres_default_ = false;

template<class ScalarType, class MV, class OP>
const bool BlockGmresSolMgr<ScalarType,MV,OP>::expResTest_default_ = false;

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

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

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

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

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

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

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

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

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


// Empty Constructor
template<class ScalarType, class MV, class OP>
BlockGmresSolMgr<ScalarType,MV,OP>::BlockGmresSolMgr() :
  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_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  isFlexible_(flexibleGmres_default_),
  expResTest_(expResTest_default_),
  orthoType_(orthoType_default_),
  impResScale_(impResScale_default_),
  expResScale_(expResScale_default_),
  label_(label_default_),
  isSet_(false),
  isSTSet_(false),
  loaDetected_(false)
{}


// Basic Constructor
template<class ScalarType, class MV, class OP>
BlockGmresSolMgr<ScalarType,MV,OP>::BlockGmresSolMgr( 
  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_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  isFlexible_(flexibleGmres_default_),
  expResTest_(expResTest_default_),
  orthoType_(orthoType_default_),
  impResScale_(impResScale_default_),
  expResScale_(expResScale_default_),
  label_(label_default_),
  isSet_(false),
  isSTSet_(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) ) {
    setParameters( pl );  
  }

}


template<class ScalarType, class MV, class OP>
Teuchos::RCP<const Teuchos::ParameterList>
BlockGmresSolMgr<ScalarType,MV,OP>::getValidParameters() const
{
  static Teuchos::RCP<const Teuchos::ParameterList> validPL;
  if (is_null(validPL)) {
    Teuchos::RCP<Teuchos::ParameterList> pl = 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 linear 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 blocks allowed in the Krylov subspace\n"
      "for each set of RHS solved.");
    pl->set("Block Size", blockSize_default_,
      "The number of vectors in each block.  This number times the\n"
      "number of blocks is the total Krylov subspace dimension.");
    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("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("Flexible Gmres", flexibleGmres_default_,
      "Whether the solver manager should use the flexible variant\n"
      "of GMRES.");
    pl->set("Explicit Residual Test", expResTest_default_,
      "Whether the explicitly computed residual should be used in the convergence test.");
    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.");
    //  pl->set("Restart Timers", restartTimers_);
    pl->set("Orthogonalization", orthoType_default_,
      "The type of orthogonalization to use: DGKS, ICGS, or 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;
}


template<class ScalarType, class MV, class OP>
void BlockGmresSolMgr<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::BlockGmresSolMgr: \"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::BlockGmresSolMgr: \"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_ + ": BlockGmresSolMgr total solve time";
      timerSolve_ = Teuchos::TimeMonitor::getNewTimer(solveLabel);
    }
  }

  // Determine whether this solver should be "flexible".
  if (params->isParameter("Flexible Gmres")) {
    isFlexible_ = Teuchos::getParameter<bool>(*params,"Flexible Gmres");
    params_->set("Flexible Gmres", isFlexible_);
    if (isFlexible_ && expResTest_) {
      // Use an implicit convergence test if the Gmres solver is flexible
      isSTSet_ = false;
    }
  }


  // 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::BlockGmresSolMgr: \"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.
  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;
        }
      }
    }      
  }
  
  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;
        }
      }
    }      
  }

  if (params->isParameter("Explicit Residual Test")) {
    expResTest_ = Teuchos::getParameter<bool>( *params,"Explicit Residual Test" );

    // Reconstruct the convergence test if the explicit residual test is not being used.
    params_->set("Explicit Residual Test", expResTest_);
    if (expConvTest_ == Teuchos::null) {
      isSTSet_ = false;
    }
  }


  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 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::BlockGmresSolMgr(): Invalid orthogonalization type.");
    }  
  }

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

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

// Check the status test versus the defined linear problem
template<class ScalarType, class MV, class OP>
bool BlockGmresSolMgr<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()) && !isFlexible_) {
    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_ ) );
    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_ ) );
    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 {

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

  Teuchos::BLAS<int,ScalarType> blas;
  Teuchos::LAPACK<int,ScalarType> lapack;
  
  TEST_FOR_EXCEPTION(problem_ == Teuchos::null,BlockGmresSolMgrLinearProblemFailure,
    "Belos::BlockGmresSolMgr::solve(): Linear problem is not a valid object.");

  TEST_FOR_EXCEPTION(!problem_->isProblemSet(),BlockGmresSolMgrLinearProblemFailure,
    "Belos::BlockGmresSolMgr::solve(): Linear problem is not ready, setProblem() has not been called.");

  if (isFlexible_) {
    TEST_FOR_EXCEPTION(problem_->getRightPrec()==Teuchos::null,BlockGmresSolMgrLinearProblemFailure,
      "Belos::BlockGmresSolMgr::solve(): Linear problem does not have a preconditioner required for flexible GMRES, call setRightPrec().");
  }
 
  if (!isSTSet_ || (!expResTest_ && !Teuchos::is_null(problem_->getLeftPrec())) ) {
    TEST_FOR_EXCEPTION( checkStatusTest(),BlockGmresSolMgrLinearProblemFailure,
      "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("Block Size",blockSize_);

  int dim = MVT::GetVecLength( *(problem_->getRHS()) );  
  if (blockSize_*numBlocks_ > dim) {
    int tmpNumBlocks = 0;
    if (blockSize_ == 1)
      tmpNumBlocks = dim / blockSize_;  // Allow for a good breakdown.
    else
      tmpNumBlocks = ( dim - blockSize_) / blockSize_;  // Allow for restarting.
    printer_->stream(Warnings) << 
      "Warning! Requested Krylov subspace dimension is larger that operator dimension!" << std::endl <<
      " The maximum number of blocks allowed for the Krylov subspace will be adjusted to " << tmpNumBlocks << std::endl;
    plist.set("Num Blocks",tmpNumBlocks);
  } 
  else 
    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<GmresIteration<ScalarType,MV,OP> > block_gmres_iter;

  if (isFlexible_)
    block_gmres_iter = Teuchos::rcp( new BlockFGmresIter<ScalarType,MV,OP>(problem_,printer_,outputTest_,ortho_,plist) );
  else
    block_gmres_iter = Teuchos::rcp( new BlockGmresIter<ScalarType,MV,OP>(problem_,printer_,outputTest_,ortho_,plist) );
  
  // Enter solve() iterations
  {
    Teuchos::TimeMonitor slvtimer(*timerSolve_);

    while ( numRHS2Solve > 0 ) {

      // Set the current number of blocks and blocksize with the Gmres iteration.
      if (blockSize_*numBlocks_ > dim) {
        int tmpNumBlocks = 0;
        if (blockSize_ == 1)
          tmpNumBlocks = dim / blockSize_;  // Allow for a good breakdown.
        else
          tmpNumBlocks = ( dim - blockSize_) / blockSize_;  // Allow for restarting.
        block_gmres_iter->setSize( blockSize_, tmpNumBlocks );
      }
      else
        block_gmres_iter->setSize( blockSize_, numBlocks_ );

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

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

      // Create the first block in the current Krylov basis.
      Teuchos::RCP<MV> V_0;
      if (isFlexible_)
        V_0 = MVT::CloneCopy( *(problem_->getInitResVec()), currIdx );
      else 
        V_0 = MVT::CloneCopy( *(problem_->getInitPrecResVec()), currIdx );


      // Get a matrix to hold the orthonormalization coefficients.
      Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > z_0 = 
        rcp( new Teuchos::SerialDenseMatrix<int,ScalarType>( blockSize_, blockSize_ ) );
 
      // Orthonormalize the new V_0
      int rank = ortho_->normalize( *V_0, z_0 );
      TEST_FOR_EXCEPTION(rank != blockSize_,BlockGmresSolMgrOrthoFailure,
        "Belos::BlockGmresSolMgr::solve(): Failed to compute initial block of orthonormal vectors.");
      
      // Set the new state and initialize the solver.
      GmresIterationState<ScalarType,MV> newstate;
      newstate.V = V_0;
      newstate.z = z_0;
      newstate.curDim = 0;
      block_gmres_iter->initializeGmres(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
              loaDetected_ = true;
              isConverged = false;
            }
            break;  // break from while(1){block_gmres_iter->iterate()}
          }
          //
          // 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();
            if (isFlexible_) {
              // Update the solution manually, since the preconditioning doesn't need to be undone.
              Teuchos::RCP<MV> curX = problem_->getCurrLHSVec();
              MVT::MvAddMv( 1.0, *curX, 1.0, *update, *curX );
            }
            else 
              problem_->updateSolution( update, true );

            // Get the state.
            GmresIterationState<ScalarType,MV> oldState = block_gmres_iter->getState();
      
            // Compute the restart std::vector.
            // Get a view of the current Krylov basis.
            V_0  = MVT::Clone( *(oldState.V), blockSize_ );
            if (isFlexible_)
              problem_->computeCurrResVec( &*V_0 );
            else
              problem_->computeCurrPrecResVec( &*V_0 );

            // Get a view of the first block of the Krylov basis.
            z_0 = rcp( new Teuchos::SerialDenseMatrix<int,ScalarType>( blockSize_, blockSize_ ) );
      
            // Orthonormalize the new V_0
            rank = ortho_->normalize( *V_0, z_0 );
            TEST_FOR_EXCEPTION(rank != blockSize_,BlockGmresSolMgrOrthoFailure,
              "Belos::BlockGmresSolMgr::solve(): Failed to compute initial block of orthonormal vectors after restart.");

            // Set the new state and initialize the solver.
            newstate.V = V_0;
            newstate.z = z_0;
            newstate.curDim = 0;
            block_gmres_iter->initializeGmres(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::BlockGmresSolMgr::solve(): Invalid return from BlockGmresIter::iterate().");
          }
        }
        catch (GmresIterationOrthoFailure e) {
          // If the block size is not one, it's not considered a lucky breakdown.
          if (blockSize_ != 1) {
            printer_->stream(Errors) << "Error! Caught std::exception in BlockGmresIter::iterate() at iteration " 
                                     << block_gmres_iter->getNumIters() << std::endl 
                                     << e.what() << std::endl;
            if (convTest_->getStatus() != Passed)
              isConverged = false;
            break;
          } 
          else {
            // If the block size is one, 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 BlockGmresIter::iterate() at iteration " 
                                   << block_gmres_iter->getNumIters() << std::endl 
                                   << e.what() << std::endl;
          throw;
        }
      }
      
      // Compute the current solution.
      // Update the linear problem.
      if (isFlexible_) {
        // Update the solution manually, since the preconditioning doesn't need to be undone.
        Teuchos::RCP<MV> update = block_gmres_iter->getCurrentUpdate();
        Teuchos::RCP<MV> curX = problem_->getCurrLHSVec();
        MVT::MvAddMv( 1.0, *curX, 1.0, *update, *curX );
      }
      else {
        // Attempt to get the current solution from the residual status test, if it has one.
        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; }    
        }
        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) );

  // get iteration information for this solve
  numIters_ = maxIterTest_->getNumIters();
  
  if (!isConverged || loaDetected_) {
    return Unconverged; // return from BlockGmresSolMgr::solve() 
  }
  return Converged; // return from BlockGmresSolMgr::solve() 
}

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

#endif /* BELOS_BLOCK_GMRES_SOLMGR_HPP */

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