BelosPseudoBlockCGIter.hpp

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#ifndef BELOS_PSEUDO_BLOCK_CG_ITER_HPP
#define BELOS_PSEUDO_BLOCK_CG_ITER_HPP
 
#include "BelosConfigDefs.hpp"
#include "BelosTypes.hpp"
#include "BelosCGIteration.hpp"
 
#include "BelosLinearProblem.hpp"
#include "BelosMatOrthoManager.hpp"
#include "BelosOutputManager.hpp"
#include "BelosStatusTest.hpp"
#include "BelosOperatorTraits.hpp"
#include "BelosMultiVecTraits.hpp"
 
#include "Teuchos_BLAS.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
#include "Teuchos_SerialDenseVector.hpp"
#include "Teuchos_ScalarTraits.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_TimeMonitor.hpp"
 
namespace Belos {
 
  template<class ScalarType, class MV, class OP>
  class PseudoBlockCGIter : virtual public CGIteration<ScalarType,MV,OP> {
 
  public:
 
    //
    // Convenience typedefs
    //
    typedef MultiVecTraits<ScalarType,MV> MVT;
    typedef OperatorTraits<ScalarType,MV,OP> OPT;
    typedef Teuchos::ScalarTraits<ScalarType> SCT;
    typedef typename SCT::magnitudeType MagnitudeType;
 
 
 
    PseudoBlockCGIter( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
                          const Teuchos::RCP<OutputManager<ScalarType> > &printer,
                          const Teuchos::RCP<StatusTest<ScalarType,MV,OP> > &tester,
                          Teuchos::ParameterList &params );
 
    virtual ~PseudoBlockCGIter() {};
 
 
 
 
    void iterate();
 
    void initializeCG(CGIterationState<ScalarType,MV>& newstate);
 
    void initialize()
    {
      CGIterationState<ScalarType,MV> empty;
      initializeCG(empty);
    }
 
    CGIterationState<ScalarType,MV> getState() const {
      CGIterationState<ScalarType,MV> state;
      state.R = R_;
      state.P = P_;
      state.AP = AP_;
      state.Z = Z_;
      return state;
    }
 
 
 
 
 
    int getNumIters() const { return iter_; }
 
    void resetNumIters( int iter = 0 ) { iter_ = iter; }
 
    Teuchos::RCP<const MV> getNativeResiduals( std::vector<MagnitudeType> * /* norms */ ) const { return R_; }
 
 
    Teuchos::RCP<MV> getCurrentUpdate() const { return Teuchos::null; }
 
 
 
 
    const LinearProblem<ScalarType,MV,OP>& getProblem() const { return *lp_; }
 
    int getBlockSize() const { return 1; }
 
    void setBlockSize(int blockSize) {
      TEUCHOS_TEST_FOR_EXCEPTION(blockSize!=1,std::invalid_argument,
                         "Belos::PseudoBlockCGIter::setBlockSize(): Cannot use a block size that is not one.");
    }
 
    bool isInitialized() { return initialized_; }
 
 
    void setDoCondEst(bool val) {
     if (numEntriesForCondEst_) doCondEst_=val;
    }
 
    Teuchos::ArrayView<MagnitudeType> getDiag() {
      // NOTE (mfh 30 Jul 2015) See note on getOffDiag() below.
      // getDiag() didn't actually throw for me in that case, but why
      // not be cautious?
      typedef typename Teuchos::ArrayView<MagnitudeType>::size_type size_type;
      if (static_cast<size_type> (iter_) >= diag_.size ()) {
        return diag_ ();
      } else {
        return diag_ (0, iter_);
      }
    }
 
    Teuchos::ArrayView<MagnitudeType> getOffDiag() {
      // NOTE (mfh 30 Jul 2015) The implementation as I found it
      // returned "offdiag(0,iter_)".  This breaks (Teuchos throws in
      // debug mode) when the maximum number of iterations has been
      // reached, because iter_ == offdiag_.size() in that case.  The
      // new logic fixes this.
      typedef typename Teuchos::ArrayView<MagnitudeType>::size_type size_type;
      if (static_cast<size_type> (iter_) >= offdiag_.size ()) {
        return offdiag_ ();
      } else {
        return offdiag_ (0, iter_);
      }
    }
 
  private:
 
    //
    // Classes inputed through constructor that define the linear problem to be solved.
    //
    const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> >    lp_;
    const Teuchos::RCP<OutputManager<ScalarType> >          om_;
    const Teuchos::RCP<StatusTest<ScalarType,MV,OP> >       stest_;
 
    //
    // Algorithmic parameters
    //
    // numRHS_ is the current number of linear systems being solved.
    int numRHS_;
 
    //
    // Current solver state
    //
    // initialized_ specifies that the basis vectors have been initialized and the iterate() routine
    // is capable of running; _initialize is controlled  by the initialize() member method
    // For the implications of the state of initialized_, please see documentation for initialize()
    bool initialized_;
 
    // Current number of iterations performed.
    int iter_;
 
    // Assert that the matrix is positive definite
    bool assertPositiveDefiniteness_;
 
    // Tridiagonal system for condition estimation (if needed)
    Teuchos::ArrayRCP<MagnitudeType> diag_, offdiag_;
    ScalarType pAp_old_, beta_old_, rHz_old2_;  // Put scalars here so that estimate is correct for multiple RHS, when deflation occurs.
    int numEntriesForCondEst_;
    bool doCondEst_;
 
    //
    // State Storage
    //
    // Residual
    Teuchos::RCP<MV> R_;
    //
    // Preconditioned residual
    Teuchos::RCP<MV> Z_;
    //
    // Direction vector
    Teuchos::RCP<MV> P_;
    //
    // Operator applied to direction vector
    Teuchos::RCP<MV> AP_;
 
  };
 
  // Constructor.
  template<class ScalarType, class MV, class OP>
  PseudoBlockCGIter<ScalarType,MV,OP>::PseudoBlockCGIter(const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
                                                               const Teuchos::RCP<OutputManager<ScalarType> > &printer,
                                                               const Teuchos::RCP<StatusTest<ScalarType,MV,OP> > &tester,
                                                               Teuchos::ParameterList &params ):
    lp_(problem),
    om_(printer),
    stest_(tester),
    numRHS_(0),
    initialized_(false),
    iter_(0),
    assertPositiveDefiniteness_( params.get("Assert Positive Definiteness", true) ),
    numEntriesForCondEst_(params.get("Max Size For Condest",0) ),
    doCondEst_(false)
  {
  }
 
 
  // Initialize this iteration object
  template <class ScalarType, class MV, class OP>
  void PseudoBlockCGIter<ScalarType,MV,OP>::initializeCG(CGIterationState<ScalarType,MV>& newstate)
  {
    // Check if there is any mltivector to clone from.
    Teuchos::RCP<const MV> lhsMV = lp_->getCurrLHSVec();
    Teuchos::RCP<const MV> rhsMV = lp_->getCurrRHSVec();
    TEUCHOS_TEST_FOR_EXCEPTION((lhsMV==Teuchos::null && rhsMV==Teuchos::null),std::invalid_argument,
                       "Belos::PseudoBlockCGIter::initialize(): Cannot initialize state storage!");
 
    // Get the multivector that is not null.
    Teuchos::RCP<const MV> tmp = ( (rhsMV!=Teuchos::null)? rhsMV: lhsMV );
 
    // Get the number of right-hand sides we're solving for now.
    int numRHS = MVT::GetNumberVecs(*tmp);
    numRHS_ = numRHS;
 
    // Initialize the state storage
    // If the subspace has not be initialized before or has changed sizes, generate it using the LHS or RHS from lp_.
    if (Teuchos::is_null(R_) || MVT::GetNumberVecs(*R_)!=numRHS_) {
      R_ = MVT::Clone( *tmp, numRHS_ );
      Z_ = MVT::Clone( *tmp, numRHS_ );
      P_ = MVT::Clone( *tmp, numRHS_ );
      AP_ = MVT::Clone( *tmp, numRHS_ );
    }
 
    // Tracking information for condition number estimation
    if(numEntriesForCondEst_ > 0) {
      diag_.resize(numEntriesForCondEst_);
      offdiag_.resize(numEntriesForCondEst_-1);
    }
 
    // NOTE:  In CGIter R_, the initial residual, is required!!!
    //
    std::string errstr("Belos::BlockPseudoCGIter::initialize(): Specified multivectors must have a consistent length and width.");
 
    // Create convenience variables for zero and one.
    const ScalarType one = Teuchos::ScalarTraits<ScalarType>::one();
    const MagnitudeType zero = Teuchos::ScalarTraits<MagnitudeType>::zero();
 
    if (!Teuchos::is_null(newstate.R)) {
 
      TEUCHOS_TEST_FOR_EXCEPTION( MVT::GetGlobalLength(*newstate.R) != MVT::GetGlobalLength(*R_),
                          std::invalid_argument, errstr );
      TEUCHOS_TEST_FOR_EXCEPTION( MVT::GetNumberVecs(*newstate.R) != numRHS_,
                          std::invalid_argument, errstr );
 
      // Copy basis vectors from newstate into V
      if (newstate.R != R_) {
        // copy over the initial residual (unpreconditioned).
        MVT::MvAddMv( one, *newstate.R, zero, *newstate.R, *R_ );
      }
 
      // Compute initial direction vectors
      // Initially, they are set to the preconditioned residuals
      //
      if ( lp_->getLeftPrec() != Teuchos::null ) {
        lp_->applyLeftPrec( *R_, *Z_ );
        if ( lp_->getRightPrec() != Teuchos::null ) {
          Teuchos::RCP<MV> tmp1 = MVT::Clone( *Z_, numRHS_ );
          lp_->applyRightPrec( *Z_, *tmp1 );
          Z_ = tmp1;
        }
      }
      else if ( lp_->getRightPrec() != Teuchos::null ) {
        lp_->applyRightPrec( *R_, *Z_ );
      }
      else {
        Z_ = R_;
      }
      MVT::MvAddMv( one, *Z_, zero, *Z_, *P_ );
    }
    else {
 
      TEUCHOS_TEST_FOR_EXCEPTION(Teuchos::is_null(newstate.R),std::invalid_argument,
                         "Belos::CGIter::initialize(): CGStateIterState does not have initial residual.");
    }
 
    // The solver is initialized
    initialized_ = true;
  }
 
 
  // Iterate until the status test informs us we should stop.
  template <class ScalarType, class MV, class OP>
  void PseudoBlockCGIter<ScalarType,MV,OP>::iterate()
  {
    //
    // Allocate/initialize data structures
    //
    if (initialized_ == false) {
      initialize();
    }
 
    // Allocate memory for scalars.
    int i=0;
    std::vector<int> index(1);
    std::vector<ScalarType> rHz( numRHS_ ), rHz_old( numRHS_ ), pAp( numRHS_ ), beta( numRHS_ );
    Teuchos::SerialDenseMatrix<int, ScalarType> alpha( numRHS_,numRHS_ );
 
    // Create convenience variables for zero and one.
    const ScalarType one = Teuchos::ScalarTraits<ScalarType>::one();
    const MagnitudeType zero = Teuchos::ScalarTraits<MagnitudeType>::zero();
 
    // Get the current solution std::vector.
    Teuchos::RCP<MV> cur_soln_vec = lp_->getCurrLHSVec();
 
    // Compute first <r,z> a.k.a. rHz
    MVT::MvDot( *R_, *Z_, rHz );
 
    if ( assertPositiveDefiniteness_ )
        for (i=0; i<numRHS_; ++i)
            TEUCHOS_TEST_FOR_EXCEPTION( SCT::real(rHz[i]) < zero,
                                CGIterateFailure,
                                "Belos::PseudoBlockCGIter::iterate(): negative value for r^H*M*r encountered!" );
 
    // Iterate until the status test tells us to stop.
    //
    while (stest_->checkStatus(this) != Passed) {
 
      // Increment the iteration
      iter_++;
 
      // Multiply the current direction std::vector by A and store in AP_
      lp_->applyOp( *P_, *AP_ );
 
      // Compute alpha := <R_,Z_> / <P_,AP_>
      MVT::MvDot( *P_, *AP_, pAp );
 
      for (i=0; i<numRHS_; ++i) {
        if ( assertPositiveDefiniteness_ )
            // Check that pAp[i] is a positive number!
            TEUCHOS_TEST_FOR_EXCEPTION( SCT::real(pAp[i]) <= zero,
                                CGIterateFailure,
                                "Belos::PseudoBlockCGIter::iterate(): non-positive value for p^H*A*p encountered!" );
 
        alpha(i,i) = rHz[i] / pAp[i];
      }
 
      //
      // Update the solution std::vector x := x + alpha * P_
      //
      MVT::MvTimesMatAddMv( one, *P_, alpha, one, *cur_soln_vec );
      lp_->updateSolution();// what does this do?
      //
      // Save the denominator of beta before residual is updated [ old <R_, Z_> ]
      //
      for (i=0; i<numRHS_; ++i) {
        rHz_old[i] = rHz[i];
      }
      //
      // Compute the new residual R_ := R_ - alpha * AP_
      //
      MVT::MvTimesMatAddMv( -one, *AP_, alpha, one, *R_ );
      //
      // Compute beta := [ new <R_, Z_> ] / [ old <R_, Z_> ],
      // and the new direction std::vector p.
      //
      if ( lp_->getLeftPrec() != Teuchos::null ) {
        lp_->applyLeftPrec( *R_, *Z_ );
        if ( lp_->getRightPrec() != Teuchos::null ) {
          Teuchos::RCP<MV> tmp = MVT::Clone( *Z_, numRHS_ );
          lp_->applyRightPrec( *Z_, *tmp );
          Z_ = tmp;
        }
      }
      else if ( lp_->getRightPrec() != Teuchos::null ) {
        lp_->applyRightPrec( *R_, *Z_ );
      }
      else {
        Z_ = R_;
      }
      //
      MVT::MvDot( *R_, *Z_, rHz );
      if ( assertPositiveDefiniteness_ )
          for (i=0; i<numRHS_; ++i)
              TEUCHOS_TEST_FOR_EXCEPTION( SCT::real(rHz[i]) < zero,
                                  CGIterateFailure,
                                  "Belos::PseudoBlockCGIter::iterate(): negative value for r^H*M*r encountered!" );
      //
      // Update the search directions.
      for (i=0; i<numRHS_; ++i) {
        beta[i] = rHz[i] / rHz_old[i];
        index[0] = i;
        Teuchos::RCP<const MV> Z_i = MVT::CloneView( *Z_, index );
        Teuchos::RCP<MV> P_i = MVT::CloneViewNonConst( *P_, index );
        MVT::MvAddMv( one, *Z_i, beta[i], *P_i, *P_i );       
      }
 
      // Condition estimate (if needed)
      if (doCondEst_) {
        if (iter_ > 1) {
          diag_[iter_-1]    = Teuchos::ScalarTraits<ScalarType>::real((beta_old_ * beta_old_ * pAp_old_ + pAp[0]) / rHz_old[0]);
          offdiag_[iter_-2] = -Teuchos::ScalarTraits<ScalarType>::real(beta_old_ * pAp_old_ / (sqrt( rHz_old[0] * rHz_old2_)));
        }
        else {
          diag_[iter_-1]    = Teuchos::ScalarTraits<ScalarType>::real(pAp[0] / rHz_old[0]);
        }
        rHz_old2_ = rHz_old[0];
        beta_old_ = beta[0];
        pAp_old_ = pAp[0];
      }
 
 
      //
    } // end while (sTest_->checkStatus(this) != Passed)
  }
 
} // end Belos namespace
 
#endif /* BELOS_PSEUDO_BLOCK_CG_ITER_HPP */