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//@HEADER
// ************************************************************************
//
//                 Belos: Block Linear Solvers Package
//                  Copyright 2004 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER

#ifndef BELOS_STATUS_TEST_GEN_RESSUBNORM_H
#define BELOS_STATUS_TEST_GEN_RESSUBNORM_H

/*!
  \file BelosStatusTestGenResSubNorm.hpp
  \brief Belos::StatusTestResSubNorm for specifying general residual norm of sub-residual vectors stopping criteria.
*/

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

#ifdef HAVE_BELOS_THYRA
#include <Thyra_MultiVectorBase.hpp>
#include <Thyra_MultiVectorStdOps.hpp>
#include <Thyra_ProductMultiVectorBase.hpp>
#endif

/*!
  \class Belos::StatusTestGenResSubNorm
  \brief An implementation of StatusTestResNorm using a family of norms of subvectors of the residual vectors.

  StatusTestGenResSubNorm is an implementation of StatusTestResNorm that allows a user to construct
  one of a family of residual tests for use as a status/convergence test for Belos.
*/

namespace Belos {

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

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

  //! @name Constructors/destructors.
  //@{
  //! Constructor
  /*! The constructor takes a single argument specifying the tolerance (\f$\tau\f$).
    If none of the form definition methods are called, we use \f$\|r\|_2/\|r^{(0)}\|_2 \le \tau\f$
    as the stopping criterion, where \f$\|r\|_2\f$ uses the least costly form of the 2-norm of
    residual available from the iterative method and \f$\|r^{(0)}\|_2\f$ is the corresponding norm
    of the initial residual.  The least costly form of the 2-norm depends on the chosen iterative
    method.

    @param Tolerance: Specifies tolerance \f$\tau\f
    @param subIdx: index of block row in the n x n block system we want to check the residual of
    @param quorum: Number of residual (sub-)vectors which are needed to be within the tolerance before check is considered to be passed
    @param showMaxResNormOnly: for output only

  */
  StatusTestGenResSubNorm( MagnitudeType Tolerance, size_t subIdx, int quorum = -1, bool showMaxResNormOnly = false ) {
    TEUCHOS_TEST_FOR_EXCEPTION(true,StatusTestError,
          "StatusTestGenResSubNorm::StatusTestGenResSubNorm(): StatusTestGenResSubNorm only available for blocked operators (e.g., Thyra).");
  }

  //! Destructor
  virtual ~StatusTestGenResSubNorm() { };
  //@}

  //! @name Form and parameter definition methods.
  //@{

  //! Define norm of the residual.
  /*! This method defines the form of \f$\|r\|\f$.  We specify:
    <ul>
    <li> The norm to be used on the residual (this may be different than the norm used in
    DefineScaleForm()).
    </ul>
  */
  int defineResForm(  NormType TypeOfNorm) {
    TEUCHOS_TEST_FOR_EXCEPTION(true,StatusTestError,
          "StatusTestGenResSubNorm::defineResForm(): StatusTestGenResSubNorm only available for blocked operators (e.g., Thyra).");
    return(0);
  }

  //! Define form of the scaling, its norm, its optional weighting std::vector, or, alternatively, define an explicit value.
  /*! This method defines the form of how the residual is scaled (if at all).  It operates in two modes:
    <ol>
    <li> User-provided scaling value:
    <ul>
    <li> Set argument TypeOfScaling to UserProvided.
    <li> Set ScaleValue to a non-zero value that the residual norm will be divided by.
    <li> TypeOfNorm argument will be ignored.
    <li> Sample use:  Define ScaleValue = \f$\|A\|_{\infty}\f$ where \f$ A \f$ is the matrix
    of the linear problem.
    </ul>

    <li> Use a supported Scaling Form:
    <ul>
    <li> Define TypeOfScaling to be the norm of the right hand side, the initial residual std::vector,
    or to none.
    <li> Define norm to be used on the scaling std::vector (this may be different than the norm used
    in DefineResForm()).
    </ul>
    </ol>
  */
  int defineScaleForm( ScaleType TypeOfScaling, NormType TypeOfNorm, MagnitudeType ScaleValue = Teuchos::ScalarTraits<MagnitudeType>::one()) {
    TEUCHOS_TEST_FOR_EXCEPTION(true,StatusTestError,
          "StatusTestGenResSubNorm::defineScaleForm(): StatusTestGenResSubNorm only available for blocked operators (e.g., Thyra).");
    return(0);
  }

  //! Set the value of the tolerance
  /*! We allow the tolerance to be reset for cases where, in the process of testing the residual,
    we find that the initial tolerance was too tight or too lax.
  */
  int setTolerance(MagnitudeType tolerance) { return 0; }

  //! Set the block index of which we want to check the norm of the sub-residuals
  /*! It does not really make sense to change/reset the index during the solution process
   */
  int setSubIdx ( size_t subIdx ) { return 0;}

  //! Sets the number of residuals that must pass the convergence test before Passed is returned.
  //! \note If \c quorum=-1 then all residuals must pass the convergence test before Passed is returned.
  int setQuorum(int quorum) { return 0; }

  //! Set whether the only maximum residual norm is displayed when the print() method is called
  int setShowMaxResNormOnly(bool showMaxResNormOnly) { return 0; }

  //@}

  //! @name Status methods
  //@{
  //! Check convergence status: Passed, Failed, or Undefined.
  /*! This method checks to see if the convergence criteria are met.
    Depending on how the residual test is constructed this method will return
    the appropriate status type.

    \return StatusType: Passed, Failed, or Undefined.
  */
  StatusType checkStatus(Iteration<ScalarType,MV,OP>* iSolver) { return Undefined; }

  //! Return the result of the most recent CheckStatus call.
  StatusType getStatus() const {return Undefined;}
  //@}

  //! @name Reset methods
  //@{

  //! Resets the internal configuration to the initial state.
  void reset() { }

  //@}

  //! @name Print methods
  //@{

  //! Output formatted description of stopping test to output stream.
  void print(std::ostream& os, int indent = 0) const { }

  //! Print message for each status specific to this stopping test.
  void printStatus(std::ostream& os, StatusType type) const { }
  //@}

  //! @name Methods to access data members.
  //@{

  //! Returns the current solution estimate that was computed for the most recent residual test.
  //! \note This is useful for explicit residual tests, if this test is an implicit residual test
  //! a null pointer will be returned.
  Teuchos::RCP<MV> getSolution() { return Teuchos::null; }

  //! Returns the number of residuals that must pass the convergence test before Passed is returned.
  //! \note If \c quorum=-1 then all residuals must pass the convergence test before Passed is returned.
  int getQuorum() const { return -1; }

  //! Returns the index of the block row the norms are calculated for
  size_t getSubIdx() const { return 0; }

  //! Returns whether the only maximum residual norm is displayed when the print() method is called
  bool getShowMaxResNormOnly() { return false; }

  //! Returns the std::vector containing the indices of the residuals that passed the test.
  std::vector<int> convIndices() { return std::vector<int>(0); }

  //! Returns the value of the tolerance, \f$ \tau \f$, set in the constructor.
  MagnitudeType getTolerance() const {return SCT::magnitude(SCT::zero());};

  //! Returns the test value, \f$ \frac{\|r\|}{\sigma} \f$, computed in most recent call to CheckStatus.
  const std::vector<MagnitudeType>* getTestValue() const {return NULL;};

  //! Returns the residual norm value, \f$ \|r\| \f$, computed in most recent call to CheckStatus.
  const std::vector<MagnitudeType>* getResNormValue() const {return NULL;};

  //! Returns the scaled norm value, \f$ \sigma \f$.
  const std::vector<MagnitudeType>* getScaledNormValue() const {return NULL;};

  //! Returns a boolean indicating a loss of accuracy has been detected in computing the residual.
  //! \note This status test does not check for loss of accuracy, so this method will always return false.
  bool getLOADetected() const { return false; }

  //@}


  /** @name Misc. */
  //@{

  /** \brief Call to setup initial scaling std::vector.
   *
   * After this function is called <tt>getScaledNormValue()</tt> can be called
   * to get the scaling std::vector.
   */
  StatusType firstCallCheckStatusSetup(Iteration<ScalarType,MV,OP>* iSolver) {
    return Undefined;
  }
  //@}

  /** \name Overridden from Teuchos::Describable */
  //@{

  /** \brief Method to return description of the maximum iteration status test  */
  std::string description() const
  { return std::string(""); }
  //@}
};

#ifdef HAVE_BELOS_THYRA

// specialization for Thyra
template <class ScalarType>
class StatusTestGenResSubNorm<ScalarType,Thyra::MultiVectorBase<ScalarType>,Thyra::LinearOpBase<ScalarType> >
   : public StatusTestResNorm<ScalarType,Thyra::MultiVectorBase<ScalarType>,Thyra::LinearOpBase<ScalarType> > {

 public:
  // Convenience typedefs
  typedef Thyra::MultiVectorBase<ScalarType> MV;
  typedef Thyra::LinearOpBase<ScalarType>    OP;

  typedef Teuchos::ScalarTraits<ScalarType> SCT;
  typedef typename SCT::magnitudeType MagnitudeType;
  typedef MultiVecTraits<ScalarType,MV>  MVT;
  typedef OperatorTraits<ScalarType,MV,OP>  OT;

  //! @name Constructors/destructors.
  //@{
  //! Constructor
  /*! The constructor takes a single argument specifying the tolerance (\f$\tau\f$).
    If none of the form definition methods are called, we use \f$\|r\|/\|r^{(0)}\| \le \tau\f$
    as the stopping criterion, where \f$\|r\|\f$ always uses the true residual and
    \f$\|r^{(0)}\|\f$ is the corresponding norm of the initial residual.
    The used norm can be specified by defineResForm and defineScaleForm.

    @param Tolerance: Specifies tolerance \f$\tau\f
    @param subIdx: index of block row in the n x n block system we want to check the residual of
    @param quorum: Number of residual (sub-)vectors which are needed to be within the tolerance before check is considered to be passed
    @param showMaxResNormOnly: for output only

  */
  StatusTestGenResSubNorm( MagnitudeType Tolerance, size_t subIdx, int quorum = -1, bool showMaxResNormOnly = false )
  : tolerance_(Tolerance),
    subIdx_(subIdx),
    quorum_(quorum),
    showMaxResNormOnly_(showMaxResNormOnly),
    resnormtype_(TwoNorm),
    scaletype_(NormOfInitRes),
    scalenormtype_(TwoNorm),
    scalevalue_(Teuchos::ScalarTraits<MagnitudeType>::one ()),
    status_(Undefined),
    curBlksz_(0),
    curNumRHS_(0),
    curLSNum_(0),
    numrhs_(0),
    firstcallCheckStatus_(true),
    firstcallDefineResForm_(true),
    firstcallDefineScaleForm_(true) { }

  //! Destructor
  virtual ~StatusTestGenResSubNorm() { };
  //@}

  //! @name Form and parameter definition methods.
  //@{

  //! Define form of the residual, its norm and optional weighting std::vector.
  /*! This method defines the form of \f$\|r\|\f$.  We specify:
    <ul>
    <li> The norm to be used on the residual (this may be different than the norm used in
    DefineScaleForm()).
    </ul>
  */
  int defineResForm(NormType TypeOfNorm) {
    TEUCHOS_TEST_FOR_EXCEPTION(firstcallDefineResForm_==false,StatusTestError,
          "StatusTestGenResSubNorm::defineResForm(): The residual form has already been defined.");
    firstcallDefineResForm_ = false;

    resnormtype_ = TypeOfNorm;

    return(0);
  }

  //! Define form of the scaling, its norm, its optional weighting std::vector, or, alternatively, define an explicit value.
  /*! This method defines the form of how the residual is scaled (if at all).  It operates in two modes:
    <ol>
    <li> User-provided scaling value:
    <ul>
    <li> Set argument TypeOfScaling to UserProvided.
    <li> Set ScaleValue to a non-zero value that the residual norm will be divided by.
    <li> TypeOfNorm argument will be ignored.
    <li> Sample use:  Define ScaleValue = \f$\|A\|_{\infty}\f$ where \f$ A \f$ is the matrix
    of the linear problem.
    </ul>

    <li> Use a supported Scaling Form:
    <ul>
    <li> Define TypeOfScaling to be the norm of the right hand side, the initial residual std::vector,
    or to none.
    <li> Define norm to be used on the scaling std::vector (this may be different than the norm used
    in DefineResForm()).
    </ul>
    </ol>
  */
  int defineScaleForm( ScaleType TypeOfScaling, NormType TypeOfNorm, MagnitudeType ScaleValue = Teuchos::ScalarTraits<MagnitudeType>::one()) {
    TEUCHOS_TEST_FOR_EXCEPTION(firstcallDefineScaleForm_==false,StatusTestError,
          "StatusTestGenResSubNorm::defineScaleForm(): The scaling type has already been defined.");
    firstcallDefineScaleForm_ = false;

    scaletype_ = TypeOfScaling;
    scalenormtype_ = TypeOfNorm;
    scalevalue_ = ScaleValue;

    return(0);
  }

  //! Set the value of the tolerance
  /*! We allow the tolerance to be reset for cases where, in the process of testing the residual,
    we find that the initial tolerance was too tight or too lax.
  */
  int setTolerance(MagnitudeType tolerance) {tolerance_ = tolerance; return(0);}

  //! Set the block index of which we want to check the norm of the sub-residuals
  /*! It does not really make sense to change/reset the index during the solution process
   */
  int setSubIdx ( size_t subIdx ) { subIdx_ = subIdx; return(0);}

  //! Sets the number of residuals that must pass the convergence test before Passed is returned.
  //! \note If \c quorum=-1 then all residuals must pass the convergence test before Passed is returned.
  int setQuorum(int quorum) {quorum_ = quorum; return(0);}

  //! Set whether the only maximum residual norm is displayed when the print() method is called
  int setShowMaxResNormOnly(bool showMaxResNormOnly) {showMaxResNormOnly_ = showMaxResNormOnly; return(0);}

  //@}

  //! @name Status methods
  //@{
  //! Check convergence status: Passed, Failed, or Undefined.
  /*! This method checks to see if the convergence criteria are met.
    Depending on how the residual test is constructed this method will return
    the appropriate status type.

    \return StatusType: Passed, Failed, or Undefined.
  */
  StatusType 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 std::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_; }
    }

    //
    // Request the true residual for this block of right-hand sides.
    //
    Teuchos::RCP<MV> cur_update = iSolver->getCurrentUpdate();
    curSoln_ = lp.updateSolution( cur_update );
    Teuchos::RCP<MV> cur_res = MVT::Clone( *curSoln_, MVT::GetNumberVecs( *curSoln_ ) );
    lp.computeCurrResVec( &*cur_res, &*curSoln_ );
    std::vector<MagnitudeType> tmp_resvector( MVT::GetNumberVecs( *cur_res ) );
    MvSubNorm( *cur_res, subIdx_, tmp_resvector, resnormtype_ );

    typename std::vector<int>::iterator pp = curLSIdx_.begin();
    for (int i=0; pp<curLSIdx_.end(); ++pp, ++i) {
      // Check if this index is valid
      if (*pp != -1)
        resvector_[*pp] = 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 std::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 ppp = curLSIdx_.begin();
      for (; ppp<curLSIdx_.end(); ++ppp) {
        // Check if this index is valid
        if (*ppp != -1)
          testvector_[ *ppp ] = resvector_[ *ppp ] / scalevalue_;
      }
    }
    // Check status of new linear system residuals and see if we have the quorum.
    int have = 0;
    ind_.resize( curLSIdx_.size() );
    typename std::vector<int>::iterator p2 = curLSIdx_.begin();
    for (; p2<curLSIdx_.end(); ++p2) {
      // Check if this index is valid
      if (*p2 != -1) {
        // Check if any of the residuals are larger than the tolerance.
        if (testvector_[ *p2 ] > tolerance_) {
          // do nothing.
        } else if (testvector_[ *p2 ] <= tolerance_) {
          ind_[have] = *p2;
          have++;
        } else {
          // Throw an std::exception if a NaN is found.
          status_ = Failed;
          TEUCHOS_TEST_FOR_EXCEPTION(true,StatusTestError,"StatusTestGenResSubNorm::checkStatus(): NaN has been detected.");
        }
      }
    }
    ind_.resize(have);
    int need = (quorum_ == -1) ? curNumRHS_: quorum_;
    status_ = (have >= need) ? Passed : Failed;
    // Return the current status
    return status_;
  }

  //! Return the result of the most recent CheckStatus call.
  StatusType getStatus() const {return(status_);};
  //@}

  //! @name Reset methods
  //@{

  //! Resets the internal configuration to the initial state.
  void reset() {
    status_ = Undefined;
    curBlksz_ = 0;
    curLSNum_ = 0;
    curLSIdx_.resize(0);
    numrhs_ = 0;
    ind_.resize(0);
    firstcallCheckStatus_ = true;
    curSoln_ = Teuchos::null;
  }

  //@}

  //! @name Print methods
  //@{

  //! Output formatted description of stopping test to output stream.
  void print(std::ostream& os, int indent = 0) const {
    os.setf(std::ios_base::scientific);
    for (int j = 0; j < indent; j ++)
      os << ' ';
    printStatus(os, status_);
    os << resFormStr();
    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;
  }

  //! Print message for each status specific to this stopping test.
  void printStatus(std::ostream& os, StatusType type) const {
    os << std::left << std::setw(13) << std::setfill('.');
    switch (type) {
    case  Passed:
      os << "Converged";
      break;
    case  Failed:
      os << "Unconverged";
      break;
    case  Undefined:
    default:
      os << "**";
      break;
    }
    os << std::left << std::setfill(' ');
      return;
  }
  //@}

  //! @name Methods to access data members.
  //@{

  //! Returns the current solution estimate that was computed for the most recent residual test.
  Teuchos::RCP<MV> getSolution() { return curSoln_; }

  //! Returns the number of residuals that must pass the convergence test before Passed is returned.
  //! \note If \c quorum=-1 then all residuals must pass the convergence test before Passed is returned.
  int getQuorum() const { return quorum_; }

  //! Returns the index of the block row the norms are calculated for
  size_t getSubIdx() const { return subIdx_; }

  //! Returns whether the only maximum residual norm is displayed when the print() method is called
  bool getShowMaxResNormOnly() { return showMaxResNormOnly_; }

  //! Returns the std::vector containing the indices of the residuals that passed the test.
  std::vector<int> convIndices() { return ind_; }

  //! Returns the value of the tolerance, \f$ \tau \f$, set in the constructor.
  MagnitudeType getTolerance() const {return(tolerance_);};

  //! Returns the test value, \f$ \frac{\|r\|}{\sigma} \f$, computed in most recent call to CheckStatus.
  const std::vector<MagnitudeType>* getTestValue() const {return(&testvector_);};

  //! Returns the residual norm value, \f$ \|r\| \f$, computed in most recent call to CheckStatus.
  const std::vector<MagnitudeType>* getResNormValue() const {return(&resvector_);};

  //! Returns the scaled norm value, \f$ \sigma \f$.
  const std::vector<MagnitudeType>* getScaledNormValue() const {return(&scalevector_);};

  //! Returns a boolean indicating a loss of accuracy has been detected in computing the residual.
  //! \note This status test does not check for loss of accuracy, so this method will always return false.
  bool getLOADetected() const { return false; }

  //@}


  /** @name Misc. */
  //@{

  /** \brief Call to setup initial scaling std::vector.
   *
   * After this function is called <tt>getScaledNormValue()</tt> can be called
   * to get the scaling std::vector.
   */
  StatusType 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) {
        Teuchos::RCP<const MV> rhs = lp.getRHS();
        numrhs_ = MVT::GetNumberVecs( *rhs );
        scalevector_.resize( numrhs_ );
        MvSubNorm( *rhs, subIdx_, scalevector_, scalenormtype_ );
      }
      else if (scaletype_==NormOfInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MvSubNorm( *init_res, subIdx_, scalevector_, scalenormtype_ );
      }
      else if (scaletype_==NormOfPrecInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitPrecResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MvSubNorm( *init_res, subIdx_, scalevector_, scalenormtype_ );
      }
      else if (scaletype_==NormOfFullInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
        scalevalue_ = Teuchos::ScalarTraits<ScalarType>::one();
      }
      else if (scaletype_==NormOfFullPrecInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitPrecResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
        scalevalue_ = Teuchos::ScalarTraits<ScalarType>::one();
      }
      else if (scaletype_==NormOfFullScaledInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
        MvScalingRatio( *init_res, subIdx_, scalevalue_ );
      }
      else if (scaletype_==NormOfFullScaledPrecInitRes) {
        Teuchos::RCP<const MV> init_res = lp.getInitPrecResVec();
        numrhs_ = MVT::GetNumberVecs( *init_res );
        scalevector_.resize( numrhs_ );
        MVT::MvNorm( *init_res, scalevector_, scalenormtype_ );
        MvScalingRatio( *init_res, subIdx_, scalevalue_ );
      }
      else {
        numrhs_ = MVT::GetNumberVecs( *(lp.getRHS()) );
      }

      resvector_.resize( numrhs_ );
      testvector_.resize( numrhs_ );

      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;
  }
  //@}

  /** \name Overridden from Teuchos::Describable */
  //@{

  /** \brief Method to return description of the maximum iteration status test  */
  std::string description() const
  {
    std::ostringstream oss;
    oss << "Belos::StatusTestGenResSubNorm<>: " << resFormStr();
    oss << ", tol = " << tolerance_;
    return oss.str();
  }
  //@}

 protected:

 private:

  //! @name Private methods.
  //@{
  /** \brief Description of current residual form */
  std::string resFormStr() const
  {
    std::ostringstream oss;
    oss << "(";
    oss << ((resnormtype_==OneNorm) ? "1-Norm" : (resnormtype_==TwoNorm) ? "2-Norm" : "Inf-Norm");
    oss << " Exp";
    oss << " Res Vec [" << subIdx_ << "]) ";

    // If there is no residual scaling, return current string.
    if (scaletype_!=None)
    {
      // Insert division sign.
      oss << "/ ";

      // Determine output string for scaling, if there is any.
      if (scaletype_==UserProvided)
        oss << " (User Scale)";
      else {
        oss << "(";
        oss << ((scalenormtype_==OneNorm) ? "1-Norm" : (resnormtype_==TwoNorm) ? "2-Norm" : "Inf-Norm");
        if (scaletype_==NormOfInitRes)
          oss << " Res0 [" << subIdx_ << "]";
        else if (scaletype_==NormOfPrecInitRes)
          oss << " Prec Res0 [" << subIdx_ << "]";
        else if (scaletype_==NormOfFullInitRes)
          oss << " Full Res0 [" << subIdx_ << "]";
        else if (scaletype_==NormOfFullPrecInitRes)
          oss << " Full Prec Res0 [" << subIdx_ << "]";
        else if (scaletype_==NormOfFullScaledInitRes)
          oss << " scaled Full Res0 [" << subIdx_ << "]";
        else if (scaletype_==NormOfFullScaledPrecInitRes)
          oss << " scaled Full Prec Res0 [" << subIdx_ << "]";
        else
          oss << " RHS [" << subIdx_ << "]";
        oss << ")";
      }
    }

    // TODO add a tagging name

    return oss.str();
  }

  //@}

  //! @name Private helper functions
  //@{

  // calculate norm of partial multivector
  void MvSubNorm( const MV& mv, size_t block, std::vector<typename Teuchos::ScalarTraits<ScalarType>::magnitudeType>& normVec, NormType type = TwoNorm) {
    Teuchos::RCP<const MV> input = Teuchos::rcpFromRef(mv);

    typedef typename Thyra::ProductMultiVectorBase<ScalarType> TPMVB;
    Teuchos::RCP<const TPMVB> thyProdVec = Teuchos::rcp_dynamic_cast<const TPMVB>(input);

    TEUCHOS_TEST_FOR_EXCEPTION(thyProdVec == Teuchos::null, std::invalid_argument,
                             "Belos::StatusTestGenResSubNorm::MvSubNorm (Thyra specialization): "
                             "mv must be a Thyra::ProductMultiVector, but is of type " << thyProdVec);

    Teuchos::RCP<const MV> thySubVec = thyProdVec->getMultiVectorBlock(block);

    typedef MultiVecTraits<ScalarType, MV> MVT;
    MVT::MvNorm(*thySubVec,normVec,type);
  }

  // calculate ration of sub-vector length to full vector length (for scalevalue_)
  void MvScalingRatio( const MV& mv, size_t block, MagnitudeType& lengthRatio) {
    Teuchos::RCP<const MV> input = Teuchos::rcpFromRef(mv);

    typedef typename Thyra::ProductMultiVectorBase<ScalarType> TPMVB;
    Teuchos::RCP<const TPMVB> thyProdVec = Teuchos::rcp_dynamic_cast<const TPMVB>(input);

    TEUCHOS_TEST_FOR_EXCEPTION(thyProdVec == Teuchos::null, std::invalid_argument,
                             "Belos::StatusTestGenResSubNorm::MvScalingRatio (Thyra specialization): "
                             "mv must be a Thyra::ProductMultiVector, but is of type " << thyProdVec);

    Teuchos::RCP<const MV> thySubVec = thyProdVec->getMultiVectorBlock(block);

    lengthRatio = Teuchos::as<MagnitudeType>(thySubVec->range()->dim()) / Teuchos::as<MagnitudeType>(thyProdVec->range()->dim());
  }

  //@}

  //! @name Private data members.
  //@{

  //! Tolerance used to determine convergence
  MagnitudeType tolerance_;

  //! Index of block row in n x n block system of which we want to check the sub-residuals
  size_t subIdx_;

  //! Number of residuals that must pass the convergence test before Passed is returned.
  int quorum_;

  //! Determines if the entries for all of the residuals are shown or just the max.
  bool showMaxResNormOnly_;

  //! Type of norm to use on residual (OneNorm, TwoNorm, or InfNorm).
  NormType resnormtype_;

  //! Type of scaling to use (Norm of RHS, Norm of Initial Residual, None or User provided)
  ScaleType scaletype_;

  //! Type of norm to use on the scaling (OneNorm, TwoNorm, or InfNorm)
  NormType scalenormtype_;

  //! Scaling value.
  MagnitudeType scalevalue_;

  //! Scaling std::vector.
  std::vector<MagnitudeType> scalevector_;

  //! Residual norm std::vector.
  std::vector<MagnitudeType> resvector_;

  //! Test std::vector = resvector_ / scalevector_
  std::vector<MagnitudeType> testvector_;

  //! Vector containing the indices for the vectors that passed the test.
  std::vector<int> ind_;

  //! Most recent solution vector used by this status test.
  Teuchos::RCP<MV> curSoln_;

  //! Status
  StatusType status_;

  //! The current blocksize of the linear system being solved.
  int curBlksz_;

  //! The current number of right-hand sides being solved for.
  int curNumRHS_;

  //! The indices of the current number of right-hand sides being solved for.
  std::vector<int> curLSIdx_;

  //! The current number of linear systems that have been loaded into the linear problem.
  int curLSNum_;

  //! The total number of right-hand sides being solved for.
  int numrhs_;

  //! Is this the first time CheckStatus is called?
  bool firstcallCheckStatus_;

  //! Is this the first time DefineResForm is called?
  bool firstcallDefineResForm_;

  //! Is this the first time DefineScaleForm is called?
  bool firstcallDefineScaleForm_;

  //@}

};

#endif // HAVE_BELOS_THYRA

} // end namespace Belos

#endif /* BELOS_STATUS_TEST_RESSUBNORM_H */