BelosStatusTestImpResNorm.hpp

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

#include "BelosStatusTestResNorm.hpp"
#include "BelosLinearProblem.hpp"
#include "BelosMultiVecTraits.hpp"

namespace Belos {

template <class ScalarType, class MV, class OP>
class StatusTestImpResNorm: public StatusTestResNorm<ScalarType,MV,OP> {

 public:

  // Convenience typedefs
  typedef Teuchos::ScalarTraits<ScalarType> SCT;
  typedef typename SCT::magnitudeType MagnitudeType;
  typedef MultiVecTraits<ScalarType,MV>  MVT;




  StatusTestImpResNorm( MagnitudeType Tolerance, int quorum = -1, bool showMaxResNormOnly = false );

  virtual ~StatusTestImpResNorm();




  int defineResForm( NormType TypeOfNorm);
  

  int defineScaleForm( ScaleType TypeOfScaling, NormType TypeOfNorm, MagnitudeType ScaleValue = Teuchos::ScalarTraits<MagnitudeType>::one());


  int setTolerance(MagnitudeType tolerance) {tolerance_ = tolerance; return(0);}

  int setQuorum(int quorum) {quorum_ = quorum; return(0);}

  int setShowMaxResNormOnly(bool showMaxResNormOnly) {showMaxResNormOnly_ = showMaxResNormOnly; return(0);}





  StatusType checkStatus(Iteration<ScalarType,MV,OP>* iSolver);

  StatusType getStatus() const {return(status_);};


 
  void reset();




  void print(std::ostream& os, int indent = 0) const;

  void printStatus(std::ostream& os, StatusType type) const; 



  Teuchos::RCP<MV> getSolution() { return curSoln_; }

  int getQuorum() const { return quorum_; }

  std::vector<int> convIndices() { return ind_; }

  
  MagnitudeType getTolerance() const {return(tolerance_);};
  
  MagnitudeType getCurrTolerance() const {return(currTolerance_);};
  
  const std::vector<MagnitudeType>* getTestValue() const {return(&testvector_);};

  const std::vector<MagnitudeType>* getResNormValue() const {return(&resvector_);};

  const std::vector<MagnitudeType>* getScaledNormValue() const {return(&scalevector_);};

  bool getLOADetected() const { return lossDetected_; }



  StatusType firstCallCheckStatusSetup(Iteration<ScalarType,MV,OP>* iSolver);

 protected:

 private:


  
  MagnitudeType tolerance_, currTolerance_;

  int quorum_;

  bool showMaxResNormOnly_;
 
  NormType resnormtype_;
  
  ScaleType scaletype_;
  
  NormType scalenormtype_;

  MagnitudeType scalevalue_;

  std::vector<MagnitudeType> scalevector_;
  
  std::vector<MagnitudeType> resvector_;

  std::vector<MagnitudeType> testvector_;

  Teuchos::RCP<MV> curSoln_; 

  std::vector<int> ind_;
  
  StatusType status_;
  
  int curBlksz_;

  int curNumRHS_;

  std::vector<int> curLSIdx_;

  int curLSNum_;

  int numrhs_;

  bool firstcallCheckStatus_;

  bool firstcallDefineResForm_;

  bool firstcallDefineScaleForm_;

  bool lossDetected_;

};

template <class ScalarType, class MV, class OP>
StatusTestImpResNorm<ScalarType,MV,OP>::StatusTestImpResNorm( MagnitudeType Tolerance, int quorum, bool showMaxResNormOnly )
  : tolerance_(Tolerance),
    currTolerance_(Tolerance),
    quorum_(quorum),
    showMaxResNormOnly_(showMaxResNormOnly),
    resnormtype_(TwoNorm),  
    scaletype_(NormOfInitRes),
    scalenormtype_(TwoNorm),
    scalevalue_(1.0),
    status_(Undefined),
    curBlksz_(0),
    curLSNum_(0),
    numrhs_(0),
    firstcallCheckStatus_(true),
    firstcallDefineResForm_(true),
    firstcallDefineScaleForm_(true),
    lossDetected_(false)
{
  // This constructor will compute the residual ||r_i||/||r0_i|| <= tolerance using the 2-norm of
  // the implicit residual vector.
}

template <class ScalarType, class MV, class OP>
StatusTestImpResNorm<ScalarType,MV,OP>::~StatusTestImpResNorm() 
{}

template <class ScalarType, class MV, class OP>
void StatusTestImpResNorm<ScalarType,MV,OP>::reset() 
{
  status_ = Undefined;
  curBlksz_ = 0;
  curLSNum_ = 0;
  curLSIdx_.resize(0);
  numrhs_ = 0;
  ind_.resize(0);
  currTolerance_ = tolerance_;
  firstcallCheckStatus_ = true;
  lossDetected_ = false;
  curSoln_ = Teuchos::null;
}

template <class ScalarType, class MV, class OP>
int StatusTestImpResNorm<ScalarType,MV,OP>::defineResForm( NormType TypeOfNorm )
{    
  TEST_FOR_EXCEPTION(firstcallDefineResForm_==false,StatusTestError,
  "StatusTestResNorm::defineResForm(): The residual form has already been defined.");
  firstcallDefineResForm_ = false;
    
  resnormtype_ = TypeOfNorm;
    
  return(0);
}

template <class ScalarType, class MV, class OP> 
int StatusTestImpResNorm<ScalarType,MV,OP>::defineScaleForm(ScaleType TypeOfScaling, NormType TypeOfNorm,
                                                         MagnitudeType ScaleValue )
{
  TEST_FOR_EXCEPTION(firstcallDefineScaleForm_==false,StatusTestError,
  "StatusTestResNorm::defineScaleForm(): The scaling type has already been defined.");
  firstcallDefineScaleForm_ = false;
    
  scaletype_ = TypeOfScaling;
  scalenormtype_ = TypeOfNorm;
  scalevalue_ = ScaleValue;
    
  return(0);
}

template <class ScalarType, class MV, class OP>
StatusType StatusTestImpResNorm<ScalarType,MV,OP>::checkStatus( Iteration<ScalarType,MV,OP>* iSolver )
{
  MagnitudeType zero = Teuchos::ScalarTraits<MagnitudeType>::zero();
  const LinearProblem<ScalarType,MV,OP>& lp = iSolver->getProblem();
  // Compute scaling term (done once for each block that's being solved)
  if (firstcallCheckStatus_) {
    StatusType status = firstCallCheckStatusSetup(iSolver);
    if(status==Failed) {
      status_ = Failed;
      return(status_);
    }
  }
  //
  // This section computes the norm of the residual vector
  //
  if ( curLSNum_ != lp.getLSNumber() ) {
    //
    // We have moved on to the next rhs block
    //
    curLSNum_ = lp.getLSNumber();
    curLSIdx_ = lp.getLSIndex();
    curBlksz_ = (int)curLSIdx_.size();
    int validLS = 0;
    for (int i=0; i<curBlksz_; ++i) {
      if (curLSIdx_[i] > -1 && curLSIdx_[i] < numrhs_) 
  validLS++;
    }
    curNumRHS_ = validLS; 
    curSoln_ = Teuchos::null;
    //
  } else {
    //
    // We are in the same rhs block, return if we are converged
    //
    if (status_==Passed) { return status_; }
  }
  //
  // get the native residual norms from the solver for this block of right-hand sides.
  // If the residual is returned in multivector form, use the resnormtype to compute the residual norms.
  // Otherwise the native residual is assumed to be stored in the resvector_.
  //
  std::vector<MagnitudeType> tmp_resvector( curBlksz_ );
  RCP<const MV> residMV = iSolver->getNativeResiduals( &tmp_resvector );     
  if ( residMV != Teuchos::null ) { 
    tmp_resvector.resize( MVT::GetNumberVecs( *residMV ) );
    MVT::MvNorm( *residMV, tmp_resvector, resnormtype_ );    
    typename std::vector<int>::iterator p = curLSIdx_.begin();
    for (int i=0; p<curLSIdx_.end(); ++p, ++i) {
      // Check if this index is valid
      if (*p != -1)  
  resvector_[*p] = tmp_resvector[i]; 
    }
  } else {
    typename std::vector<int>::iterator p = curLSIdx_.begin();
    for (int i=0; p<curLSIdx_.end(); ++p, ++i) {
      // Check if this index is valid
      if (*p != -1)
  resvector_[*p] = tmp_resvector[i];
    }
  }
  //
  // Compute the new linear system residuals for testing.
  // (if any of them don't meet the tolerance or are NaN, then we exit with that status)
  //
  if ( scalevector_.size() > 0 ) {
    typename std::vector<int>::iterator p = curLSIdx_.begin();
    for (; p<curLSIdx_.end(); ++p) {
      // Check if this index is valid
      if (*p != -1) {     
        // Scale the vector accordingly
        if ( scalevector_[ *p ] != zero ) {
          // Don't intentionally divide by zero.
          testvector_[ *p ] = resvector_[ *p ] / scalevector_[ *p ] / scalevalue_;
        } else {
          testvector_[ *p ] = resvector_[ *p ] / scalevalue_;
        }
      }
    }
  }
  else {
    typename std::vector<int>::iterator p = curLSIdx_.begin();
    for (; p<curLSIdx_.end(); ++p) {
      // Check if this index is valid
      if (*p != -1)     
        testvector_[ *p ] = resvector_[ *p ] / scalevalue_;
    }
  } 

  // Check status of new linear system residuals and see if we have the quorum.
  int have = 0;
  ind_.resize( curLSIdx_.size() );
  std::vector<int> lclInd( curLSIdx_.size() );
  typename std::vector<int>::iterator p = curLSIdx_.begin();
  for (int i=0; p<curLSIdx_.end(); ++p, ++i) {
    // Check if this index is valid
    if (*p != -1) {     
      // Check if any of the residuals are larger than the tolerance.
      if (testvector_[ *p ] > currTolerance_) {
        // do nothing.
      } else if (testvector_[ *p ] <= currTolerance_) { 
        ind_[have] = *p;
        lclInd[have] = i;
        have++;
      } else {
        // Throw an std::exception if a NaN is found.
        status_ = Failed;
        TEST_FOR_EXCEPTION(true,StatusTestError,"StatusTestResNorm::checkStatus(): NaN has been detected.");
      }
    }
  } 
  ind_.resize(have);
  lclInd.resize(have);
  
  // Now check the exact residuals
  if (have) {
    RCP<MV> cur_update = iSolver->getCurrentUpdate();
    curSoln_ = lp.updateSolution( cur_update );
    RCP<MV> cur_res = MVT::Clone( *curSoln_, MVT::GetNumberVecs( *curSoln_) );
    lp.computeCurrResVec( &*cur_res, &*curSoln_ );
    tmp_resvector.resize( MVT::GetNumberVecs( *cur_res ) );
    std::vector<MagnitudeType> tmp_testvector( have );
    MVT::MvNorm( *cur_res, tmp_resvector, resnormtype_ );
    
    if ( scalevector_.size() > 0 ) {
      for (int i=0; i<have; ++i) {
  // Scale the vector accordingly
  if ( scalevector_[ ind_[i] ] != zero ) {
    // Don't intentionally divide by zero.
    tmp_testvector[ i ] = tmp_resvector[ lclInd[i] ] / scalevector_[ ind_[i] ] / scalevalue_;
  } else {
    tmp_testvector[ i ] = tmp_resvector[ lclInd[i] ] / scalevalue_;
  }
      }
    }
    else {
      for (int i=0; i<have; ++i) {
  tmp_testvector[ i ] = tmp_resvector[ lclInd[i] ] / scalevalue_;
      }
    } 

    // Check if we want to keep the linear system and try to reduce the residual more.
    int have2 = 0;
    for (int i=0; i<have; ++i) {
      MagnitudeType diff = Teuchos::ScalarTraits<MagnitudeType>::magnitude( testvector_[ ind_[i] ]-tmp_testvector[ i ] );
      if (tmp_testvector[ i ] <= currTolerance_) {
        ind_[have2] = ind_[i];
        have2++;
      }
      else if (diff > currTolerance_) {
        lossDetected_ = true;
        ind_[have2] = ind_[i];
        have2++;
      } 
      else {
        currTolerance_ = currTolerance_ - 1.5*diff;
        while (currTolerance_ < 0.0) currTolerance_ += 0.1*diff;
      }  

    }
    have = have2;
    ind_.resize(have);
  }

  int need = (quorum_ == -1) ? curNumRHS_: quorum_;
  status_ = (have >= need) ? Passed : Failed;
  
  // Return the current status
  return status_;
}

template <class ScalarType, class MV, class OP>
void StatusTestImpResNorm<ScalarType,MV,OP>::print(std::ostream& os, int indent) const
{
  for (int j = 0; j < indent; j ++)
    os << ' ';
  printStatus(os, status_);
  os << "(";
  os << ((resnormtype_==OneNorm) ? "1-Norm" : (resnormtype_==TwoNorm) ? "2-Norm" : "Inf-Norm");
  os << " Res Vec) ";
  if (scaletype_!=None)
    os << "/ ";
  if (scaletype_==UserProvided)
    os << " (User Scale)";
  else {
    os << "(";
    os << ((scalenormtype_==OneNorm) ? "1-Norm" : (resnormtype_==TwoNorm) ? "2-Norm" : "Inf-Norm");
    if (scaletype_==NormOfInitRes)
      os << " Res0";
    else if (scaletype_==NormOfPrecInitRes)
      os << " Prec Res0";
    else
      os << " RHS ";
    os << ")";
  }
  if (status_==Undefined)
    os << ", tol = " << tolerance_ << std::endl;
  else {
    os << std::endl;
    if(showMaxResNormOnly_ && curBlksz_ > 1) {
      const MagnitudeType maxRelRes = *std::max_element(
        testvector_.begin()+curLSIdx_[0],testvector_.begin()+curLSIdx_[curBlksz_-1]
        );
      for (int j = 0; j < indent + 13; j ++)
        os << ' ';
      os << "max{residual["<<curLSIdx_[0]<<"..."<<curLSIdx_[curBlksz_-1]<<"]} = " << maxRelRes
         << ( maxRelRes <= tolerance_ ? " <= " : " > " ) << tolerance_ << std::endl;
    }
    else {
      for ( int i=0; i<numrhs_; i++ ) {
        for (int j = 0; j < indent + 13; j ++)
          os << ' ';
        os << "residual [ " << i << " ] = " << testvector_[ i ];
        os << ((testvector_[i]<tolerance_) ? " < " : (testvector_[i]==tolerance_) ? " == " : (testvector_[i]>tolerance_) ? " > " : " "  ) << tolerance_ << std::endl;
      }
    }
  }
  os << std::endl;
}

template <class ScalarType, class MV, class OP>
void StatusTestImpResNorm<ScalarType,MV,OP>::printStatus(std::ostream& os, StatusType type) const 
{
  os << std::left << std::setw(13) << std::setfill('.');
  switch (type) {
  case  Passed:
    os << "Converged";
    break;
  case  Failed:
    if (lossDetected_)
      os << "Unconverged (LoA)";
    else
      os << "Unconverged";
    break;
  case  Undefined:
  default:
    os << "**";
    break;
  }
  os << std::left << std::setfill(' ');
    return;
}

template <class ScalarType, class MV, class OP>
StatusType StatusTestImpResNorm<ScalarType,MV,OP>::firstCallCheckStatusSetup( Iteration<ScalarType,MV,OP>* iSolver )
{
  int i;
  MagnitudeType zero = Teuchos::ScalarTraits<MagnitudeType>::zero();
  MagnitudeType one = Teuchos::ScalarTraits<MagnitudeType>::one();
  const LinearProblem<ScalarType,MV,OP>& lp = iSolver->getProblem();
  // Compute scaling term (done once for each block that's being solved)
  if (firstcallCheckStatus_) {
    //
    // Get some current solver information.
    //
    firstcallCheckStatus_ = false;

    if (scaletype_== NormOfRHS) {
      RCP<const MV> rhs = lp.getRHS();
      numrhs_ = MVT::GetNumberVecs( *rhs );
      scalevector_.resize( numrhs_ );
      resvector_.resize( numrhs_ ); 
      testvector_.resize( numrhs_ );
      MVT::MvNorm( *rhs, scalevector_, scalenormtype_ );
    }
    else if (scaletype_==NormOfInitRes) {
      RCP<const MV> init_res = lp.getInitResVec();
      numrhs_ = MVT::GetNumberVecs( *init_res );
      scalevector_.resize( numrhs_ );
      resvector_.resize( numrhs_ ); 
      testvector_.resize( numrhs_ );
      MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
    }
    else if (scaletype_==NormOfPrecInitRes) {
      RCP<const MV> init_res = lp.getInitPrecResVec();
      numrhs_ = MVT::GetNumberVecs( *init_res );
      scalevector_.resize( numrhs_ );
      resvector_.resize( numrhs_ ); 
      testvector_.resize( numrhs_ );
      MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
    }

    curLSNum_ = lp.getLSNumber();
    curLSIdx_ = lp.getLSIndex();
    curBlksz_ = (int)curLSIdx_.size();
    int validLS = 0;
    for (i=0; i<curBlksz_; ++i) {
      if (curLSIdx_[i] > -1 && curLSIdx_[i] < numrhs_)
        validLS++;
    }
    curNumRHS_ = validLS;
    //
    // Initialize the testvector.
    for (i=0; i<numrhs_; i++) { testvector_[i] = one; }

    // Return an error if the scaling is zero.
    if (scalevalue_ == zero) {
      return Failed;
    }
  }
  return Undefined;
}

} // end namespace Belos

#endif /* BELOS_STATUS_TEST_IMPRESNORM_H */

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