BelosBlockCGSolMgr.hpp

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//                 Belos: Block Linear Solvers Package
//                 Copyright (2004) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
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#ifndef BELOS_BLOCK_CG_SOLMGR_HPP
#define BELOS_BLOCK_CG_SOLMGR_HPP

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

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

#include "BelosCGIter.hpp"
#include "BelosBlockCGIter.hpp"
#include "BelosDGKSOrthoManager.hpp"
#include "BelosICGSOrthoManager.hpp"
#include "BelosIMGSOrthoManager.hpp"
#include "BelosStatusTestMaxIters.hpp"
#include "BelosStatusTestGenResNorm.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 BlockCGSolMgrLinearProblemFailure : public BelosError {public:
    BlockCGSolMgrLinearProblemFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
  class BlockCGSolMgrOrthoFailure : public BelosError {public:
    BlockCGSolMgrOrthoFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};
  
  template<class ScalarType, class MV, class OP>
  class BlockCGSolMgr : 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:
    


     BlockCGSolMgr();

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

    
    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 false; }
 
    

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


    void reset( const ResetType type ) { if ((type & Belos::Problem) && !Teuchos::is_null(problem_)) problem_->setProblem(); }
 

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

    // 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<StatusTestGenResNorm<ScalarType,MV,OP> > convTest_;
    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 maxIters_default_;
    static const bool adaptiveBlockSize_default_;
    static const bool showMaxResNormOnly_default_;
    static const int blockSize_default_;
    static const int verbosity_default_;
    static const int outputFreq_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 maxIters_, numIters_;
    int blockSize_, verbosity_, outputFreq_;
    bool adaptiveBlockSize_, showMaxResNormOnly_;
    std::string orthoType_; 
    
    // Timers.
    std::string label_;
    Teuchos::RCP<Teuchos::Time> timerSolve_;

    // Internal state variables.
    bool isSet_;
  };


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

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

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

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

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

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

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

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

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

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

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


// Empty Constructor
template<class ScalarType, class MV, class OP>
BlockCGSolMgr<ScalarType,MV,OP>::BlockCGSolMgr() :
  outputStream_(outputStream_default_),
  convtol_(convtol_default_),
  orthoKappa_(orthoKappa_default_),
  maxIters_(maxIters_default_),
  blockSize_(blockSize_default_),
  verbosity_(verbosity_default_),
  outputFreq_(outputFreq_default_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  orthoType_(orthoType_default_),
  label_(label_default_),
  isSet_(false)
{}


// Basic Constructor
template<class ScalarType, class MV, class OP>
BlockCGSolMgr<ScalarType,MV,OP>::BlockCGSolMgr( 
                 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_),
  maxIters_(maxIters_default_),
  blockSize_(blockSize_default_),
  verbosity_(verbosity_default_),
  outputFreq_(outputFreq_default_),
  adaptiveBlockSize_(adaptiveBlockSize_default_),
  showMaxResNormOnly_(showMaxResNormOnly_default_),
  orthoType_(orthoType_default_),
  label_(label_default_),
  isSet_(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>
void BlockCGSolMgr<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 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::BlockCGSolMgr: \"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 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_ + ": BlockCGSolMgr 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::BlockCGSolMgr: \"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 (convTest_ != Teuchos::null)
      convTest_->setTolerance( convtol_ );
  }
  
  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 (convTest_ != Teuchos::null)
      convTest_->setShowMaxResNormOnly( showMaxResNormOnly_ );
  }

  // Create status tests if we need to.

  // Basic test checks maximum iterations and native residual.
  if (maxIterTest_ == Teuchos::null)
    maxIterTest_ = Teuchos::rcp( new StatusTestMaxIters<ScalarType,MV,OP>( maxIters_ ) );
  
  // Implicit residual test, using the native residual to determine if convergence was achieved.
  if (convTest_ == Teuchos::null)
    convTest_ = Teuchos::rcp( new StatusTestResNorm_t( convtol_, 1 ) );
  
  if (sTest_ == Teuchos::null)
    sTest_ = Teuchos::rcp( new StatusTestCombo_t( StatusTestCombo_t::OR, maxIterTest_, convTest_ ) );
  
  if (outputTest_ == Teuchos::null) {
    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 ) );
    }
  }

  // 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::BlockCGSolMgr(): Invalid orthogonalization type.");
    }  
  }

  // Create the timer if we need to.
  if (timerSolve_ == Teuchos::null) {
    std::string solveLabel = label_ + ": BlockCGSolMgr 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> 
BlockCGSolMgr<ScalarType,MV,OP>::getValidParameters() const
{
  static Teuchos::RCP<const Teuchos::ParameterList> validPL;
  
  // Set all the valid parameters and their default values.
  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 Iterations", maxIters_default_,
      "The maximum number of block iterations allowed for each\n"
      "set of RHS solved.");
    pl->set("Block Size", blockSize_default_,
      "The number of vectors in each block.");
    pl->set("Adaptive Block Size", adaptiveBlockSize_default_,
      "Whether the solver manager should adapt to 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("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;
}

  
// solve()
template<class ScalarType, class MV, class OP>
ReturnType BlockCGSolMgr<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_->isProblemSet(),BlockCGSolMgrLinearProblemFailure,
                     "Belos::BlockCGSolMgr::solve(): Linear problem is not ready, setProblem() has not been called.");

  // 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, currIdx2;
  //  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  );
    currIdx2.resize( numCurrRHS  );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; currIdx2[i]=i; }
    
  }
  else {
    currIdx.resize( blockSize_ );
    currIdx2.resize( blockSize_ );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; currIdx2[i]=i; }
    for (int i=numCurrRHS; i<blockSize_; ++i) 
      { currIdx[i] = -1; currIdx2[i] = i; }
  }

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

  // Parameter list
  Teuchos::ParameterList plist;
  plist.set("Block Size",blockSize_);
  
  // Reset the status test.  
  outputTest_->reset();

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

  // BlockCG solver

  Teuchos::RCP<CGIteration<ScalarType,MV,OP> > block_cg_iter;
  if (blockSize_ == 1)
    block_cg_iter = Teuchos::rcp( new CGIter<ScalarType,MV,OP>(problem_,printer_,outputTest_,plist) );
  else
    block_cg_iter = Teuchos::rcp( new BlockCGIter<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);

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

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

      // Get the current residual for this block of linear systems.
      Teuchos::RCP<MV> R_0 = MVT::CloneView( *(Teuchos::rcp_const_cast<MV>(problem_->getInitResVec())), currIdx );

      // Set the new state and initialize the solver.
      CGIterationState<ScalarType,MV> newstate;
      newstate.R = R_0;
      block_cg_iter->initializeCG(newstate);

      while(1) {
  
  // tell block_cg_iter to iterate
  try {
    block_cg_iter->iterate();
    
    //
    // check convergence first
    //
    if ( convTest_->getStatus() == Passed ) {
      // We have convergence of at least one linear system.

      // Figure out which linear systems converged.
      std::vector<int> convIdx = Teuchos::rcp_dynamic_cast<StatusTestGenResNorm<ScalarType,MV,OP> >(convTest_)->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_cg_iter->iterate()}

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

      // Reset currRHSIdx to have the right-hand sides that are left to converge for this block.
      int have = 0;
            std::vector<int> unconvIdx(currRHSIdx.size());
      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) {
                currIdx2[have] = currIdx2[i];
    currRHSIdx[have++] = currRHSIdx[i];
        }
              else {
              } 
      }
      currRHSIdx.resize(have);
      currIdx2.resize(have);

      // Set the remaining indices after deflation.
      problem_->setLSIndex( currRHSIdx );

      // Get the current residual vector.
      std::vector<MagnitudeType> norms;
            R_0 = MVT::CloneCopy( *(block_cg_iter->getNativeResiduals(&norms)),currIdx2 );
      for (int i=0; i<have; ++i) { currIdx2[i] = i; }

      // Set the new blocksize for the solver.
      block_cg_iter->setBlockSize( have );

      // Set the new state and initialize the solver.
      CGIterationState<ScalarType,MV> defstate;
      defstate.R = R_0;
      block_cg_iter->initializeCG(defstate);
    }
    //
    // check for maximum iterations
    //
    else if ( maxIterTest_->getStatus() == Passed ) {
      // we don't have convergence
      isConverged = false;
      break;  // break from while(1){block_cg_iter->iterate()}
    }

    //
    // 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::BlockCGSolMgr::solve(): Invalid return from CGIteration::iterate().");
    }
  }
  catch (const std::exception &e) {
    printer_->stream(Errors) << "Error! Caught std::exception in CGIteration::iterate() at iteration " 
           << block_cg_iter->getNumIters() << std::endl 
           << e.what() << std::endl;
    throw;
  }
      }
      
      // 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  );
    currIdx2.resize( numCurrRHS  );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; currIdx2[i] = i; }   
  }
  else {
    currIdx.resize( blockSize_ );
    currIdx2.resize( blockSize_ );
    for (int i=0; i<numCurrRHS; ++i) 
      { currIdx[i] = startPtr+i; currIdx2[i] = i; }
    for (int i=numCurrRHS; i<blockSize_; ++i) 
      { currIdx[i] = -1; currIdx2[i] = i; }
  }
  // Set the next indices.
  problem_->setLSIndex( currIdx );

  // Set the new blocksize for the solver.
  block_cg_iter->setBlockSize( blockSize_ );  
      }
      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) {
    return Unconverged; // return from BlockCGSolMgr::solve() 
  }
  return Converged; // return from BlockCGSolMgr::solve() 
}

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

#endif /* BELOS_BLOCK_CG_SOLMGR_HPP */

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