BelosBlockCGIter.hpp

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// @HEADER
// *****************************************************************************
//                 Belos: Block Linear Solvers Package
//
// Copyright 2004-2016 NTESS and the Belos contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef BELOS_BLOCK_CG_ITER_HPP
#define BELOS_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 "BelosDenseMatTraits.hpp"
 
#include "Teuchos_ScalarTraits.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_TimeMonitor.hpp"
 
namespace Belos {
 
 
 
  template <class ScalarType, class MV, class DM>
  class BlockCGIterationState : public CGIterationStateBase<ScalarType, MV, DM> {
 
  public:
    BlockCGIterationState() = default;
 
    BlockCGIterationState(Teuchos::RCP<const MV> tmp) {
      initialize(tmp);
    }
 
    virtual ~BlockCGIterationState() = default;
 
    void initialize(Teuchos::RCP<const MV> tmp, int _numVectors) {
      using MVT = MultiVecTraits<ScalarType, MV, DM>;
      this->R = MVT::Clone( *tmp, _numVectors );
      this->Z = MVT::Clone( *tmp, _numVectors );
      this->P = MVT::Clone( *tmp, _numVectors );
      this->AP = MVT::Clone(*tmp, _numVectors );
 
      CGIterationStateBase<ScalarType, MV, DM>::initialize(tmp, _numVectors);
    }
 
    bool matches(Teuchos::RCP<const MV> tmp, int _numVectors=1) const {
      return CGIterationStateBase<ScalarType, MV, DM>::matches(tmp, _numVectors);
    }
 
};
 
 
template<class ScalarType, class MV, class OP, class DM,
         const bool lapackSupportsScalarType =
         Belos::Details::LapackSupportsScalar<ScalarType>::value>
class BlockCGIter : virtual public CGIteration<ScalarType, MV, OP, DM> {
public:
  typedef MultiVecTraits<ScalarType,MV, DM> MVT;
  typedef OperatorTraits<ScalarType,MV,OP> OPT;
  typedef Teuchos::ScalarTraits<ScalarType> SCT;
  typedef typename SCT::magnitudeType MagnitudeType;
 
  BlockCGIter( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP,DM> > & /* problem */,
               const Teuchos::RCP<OutputManager<ScalarType> > & /* printer */,
               const Teuchos::RCP<StatusTest<ScalarType,MV,OP,DM> > & /* tester */,
               const Teuchos::RCP<MatOrthoManager<ScalarType,MV,OP,DM> > & /* ortho */,
               Teuchos::ParameterList & /* params */ )
  {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  virtual ~BlockCGIter() {}
 
  void iterate () {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void initializeCG (Teuchos::RCP<BlockCGIterationState<ScalarType,MV, DM> > /* newstate */, Teuchos::RCP<MV> /* R_0 */) {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void initialize () {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > getState () const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void setState(Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > state) {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  int getNumIters() const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void resetNumIters( int iter=0 ) {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  Teuchos::RCP<const MV>
  getNativeResiduals (std::vector<MagnitudeType>* /* norms */) const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  Teuchos::RCP<MV> getCurrentUpdate() const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  const LinearProblem<ScalarType,MV,OP,DM>& getProblem() const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  int getBlockSize() const {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void setBlockSize(int blockSize) {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  bool isInitialized() {
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
  void setDoCondEst(bool val){
    TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Stub");
  }
 
};
 
template<class ScalarType, class MV, class OP, class DM>
class BlockCGIter<ScalarType, MV, OP, DM, true> :
    virtual public CGIteration<ScalarType,MV,OP,DM>
{
public:
  //
  // Convenience typedefs
  //
  using MVT = MultiVecTraits<ScalarType, MV, DM>;
  using OPT = OperatorTraits<ScalarType, MV, OP>;
  using SCT = Teuchos::ScalarTraits<ScalarType>;
  using MagnitudeType = typename SCT::magnitudeType;
 
 
 
  BlockCGIter( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP,DM> > &problem,
               const Teuchos::RCP<OutputManager<ScalarType> > &printer,
               const Teuchos::RCP<StatusTest<ScalarType,MV,OP,DM> > &tester,
               const Teuchos::RCP<MatOrthoManager<ScalarType,MV,OP,DM> > &ortho,
               Teuchos::ParameterList &params );
 
  virtual ~BlockCGIter() = default;
 
 
 
 
  void iterate();
 
  void initializeCG(Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > newstate, Teuchos::RCP<MV> R_0);
 
  void initialize()
  {
    initializeCG(Teuchos::null, Teuchos::null);
  }
 
  Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > getState() const {
    auto state = Teuchos::rcp(new BlockCGIterationState<ScalarType,MV, DM>());
    state->R = R_;
    state->P = P_;
    state->AP = AP_;
    state->Z = Z_;
    return state;
  }
 
  void setState(Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > state) {
    auto s = Teuchos::rcp_dynamic_cast<BlockCGIterationState<ScalarType,MV, DM> >(state, true);
    R_ = s->R;
    Z_ = s->Z;
    P_ = s->P;
    AP_ = s->AP;
  }
 
 
 
 
 
  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,DM>& getProblem() const { return *lp_; }
 
  int getBlockSize() const { return blockSize_; }
 
  void setBlockSize(int blockSize);
 
  bool isInitialized() { return initialized_; }
 
  void setDoCondEst(bool /* val */){/*ignored*/}
 
  Teuchos::ArrayView<MagnitudeType> getDiag() {
    Teuchos::ArrayView<MagnitudeType> temp;
    return temp;
  }
 
  Teuchos::ArrayView<MagnitudeType> getOffDiag() {
    Teuchos::ArrayView<MagnitudeType> temp;
    return temp;
  }
 
  private:
 
  //
  // Internal methods
 
  //
  // Classes inputed through constructor that define the linear problem to be solved.
  //
  const Teuchos::RCP<LinearProblem<ScalarType,MV,OP,DM> >    lp_;
  const Teuchos::RCP<OutputManager<ScalarType> >          om_;
  const Teuchos::RCP<StatusTest<ScalarType,MV,OP,DM> >       stest_;
  const Teuchos::RCP<OrthoManager<ScalarType,MV,DM> >        ortho_;
 
  //
  // Algorithmic parameters
  //
  // blockSize_ is the solver block size.
  int blockSize_;
 
  //
  // 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 subspace dimension, and number of iterations performed.
  int iter_;
 
  //
  // State Storage
  //
  // Residual
  Teuchos::RCP<MV> R_;
  //
  // Preconditioned residual
  Teuchos::RCP<MV> Z_;
  //
  // Direction std::vector
  Teuchos::RCP<MV> P_;
  //
  // Operator applied to direction std::vector
  Teuchos::RCP<MV> AP_;
 
};
 
  template<class ScalarType, class MV, class OP, class DM>
  BlockCGIter<ScalarType,MV,OP,DM,true>::
  BlockCGIter (const Teuchos::RCP<LinearProblem<ScalarType,MV,OP,DM> >& problem,
               const Teuchos::RCP<OutputManager<ScalarType> >& printer,
               const Teuchos::RCP<StatusTest<ScalarType,MV,OP,DM> >& tester,
               const Teuchos::RCP<MatOrthoManager<ScalarType,MV,OP,DM> >& ortho,
               Teuchos::ParameterList& params) :
    lp_(problem),
    om_(printer),
    stest_(tester),
    ortho_(ortho),
    blockSize_(0),
    initialized_(false),
    iter_(0)
  {
    // Set the block size and allocate data
    int bs = params.get("Block Size", 1);
    setBlockSize( bs );
  }
 
  template<class ScalarType, class MV, class OP, class DM>
  void BlockCGIter<ScalarType,MV,OP,DM,true>::setBlockSize (int blockSize)
  {
    // This routine only allocates space; it doesn't not perform any computation
    // any change in size will invalidate the state of the solver.
    TEUCHOS_TEST_FOR_EXCEPTION
      (blockSize <= 0, std::invalid_argument, "Belos::BlockGmresIter::"
       "setBlockSize: blockSize = " << blockSize << " <= 0.");
    if (blockSize == blockSize_) {
      return; // do nothing
    }
    blockSize_ = blockSize;
    initialized_ = false;
  }
 
  template <class ScalarType, class MV, class OP, class DM>
  void BlockCGIter<ScalarType,MV,OP,DM,true>::
  initializeCG (Teuchos::RCP<CGIterationStateBase<ScalarType,MV, DM> > newstate, Teuchos::RCP<MV> R_0)
  {
    const char prefix[] = "Belos::BlockCGIter::initialize: ";
 
    // Initialize the state storage if it isn't already.
    Teuchos::RCP<const MV> lhsMV = lp_->getLHS();
    Teuchos::RCP<const MV> rhsMV = lp_->getRHS();
    Teuchos::RCP<const MV> tmp = ( (rhsMV!=Teuchos::null)? rhsMV: lhsMV );
    TEUCHOS_ASSERT(!newstate.is_null());
    if (!Teuchos::rcp_dynamic_cast<BlockCGIterationState<ScalarType,MV, DM> >(newstate, true)->matches(tmp, blockSize_))
      newstate->initialize(tmp, blockSize_);
    setState(newstate);
 
    // NOTE:  In BlockCGIter R_, the initial residual, is required!!!
    const char errstr[] = "Specified multivectors must have a consistent "
      "length and width.";
 
    {
 
      TEUCHOS_TEST_FOR_EXCEPTION
        (MVT::GetGlobalLength(*R_0) != MVT::GetGlobalLength(*R_),
         std::invalid_argument, prefix << errstr );
      TEUCHOS_TEST_FOR_EXCEPTION
        (MVT::GetNumberVecs(*R_0) != blockSize_,
         std::invalid_argument, prefix << errstr );
 
      // Copy basis vectors from newstate into V
      if (R_0 != R_) {
        // copy over the initial residual (unpreconditioned).
        MVT::Assign( *R_0, *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> tmp2 = MVT::Clone( *Z_, blockSize_ );
          lp_->applyRightPrec( *Z_, *tmp2 );
          Z_ = tmp2;
        }
      }
      else if ( lp_->getRightPrec() != Teuchos::null ) {
        lp_->applyRightPrec( *R_, *Z_ );
      }
      else {
        Z_ = R_;
      }
      MVT::Assign( *Z_, *P_ );
    }
 
    // The solver is initialized
    initialized_ = true;
  }
 
  template<class ScalarType, class MV, class OP, class DM>
  void BlockCGIter<ScalarType,MV,OP,DM,true>::iterate()
  {
    const char prefix[] = "Belos::BlockCGIter::iterate: ";
    typedef DenseMatTraits<ScalarType,DM>    DMT;
 
    //
    // Allocate/initialize data structures
    //
    if (initialized_ == false) {
      initialize();
    }
 
    // Allocate memory for scalars.
    Teuchos::RCP<DM> alpha = DMT::Create( blockSize_, blockSize_ );
    Teuchos::RCP<DM> beta = DMT::Create( blockSize_, blockSize_ );
    Teuchos::RCP<DM> pAp = DMT::Create( blockSize_, blockSize_ );
 
    // Create dense spd solver.
    Teuchos::RCP<DenseSolver<ScalarType,DM>> lltSolver = DMT::createDenseSolver();
    lltSolver->setSPD( true );
 
    // Create convenience variable for one.
    const ScalarType one = Teuchos::ScalarTraits<ScalarType>::one();
 
    // Get the current solution std::vector.
    Teuchos::RCP<MV> cur_soln_vec = lp_->getCurrLHSVec();
 
    // Check that the current solution std::vector has blockSize_ columns.
    TEUCHOS_TEST_FOR_EXCEPTION
      (MVT::GetNumberVecs(*cur_soln_vec) != blockSize_, CGIterateFailure,
       prefix << "Current linear system does not have the right number of vectors!" );
    int rank = ortho_->normalize( *P_, Teuchos::null );
    TEUCHOS_TEST_FOR_EXCEPTION
      (rank != blockSize_, CGIterationOrthoFailure,
       prefix << "Failed to compute initial block of orthonormal direction vectors.");
 
    //
    // 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 := <P_,R_> / <P_,AP_>
      // 1) Compute P^T * A * P = pAp and P^T * R
      // 2) Compute the Cholesky Factorization of pAp
      // 3) Back and forward solves to compute alpha
      //
      MVT::MvTransMv( one, *P_, *R_, *alpha );
      MVT::MvTransMv( one, *P_, *AP_, *pAp );
 
      // Compute Cholesky factorization of pAp
      lltSolver->setMatrix( pAp );
      lltSolver->factorWithEquilibration( true );
      int info = lltSolver->factor();
      TEUCHOS_TEST_FOR_EXCEPTION
        (info != 0, CGIterationLAPACKFailure,
         prefix << "Failed to compute Cholesky factorization using LAPACK routine POTRF.");
 
      // Compute alpha by performing a back and forward solve with the
      // Cholesky factorization in pAp.
      lltSolver->setVectors (alpha, alpha);
      info = lltSolver->solve();
      TEUCHOS_TEST_FOR_EXCEPTION
        (info != 0, CGIterationLAPACKFailure,
         prefix << "Failed to compute alpha using Cholesky factorization (POTRS).");
 
      // Update the solution std::vector X := X + alpha * P_
      MVT::MvTimesMatAddMv( one, *P_, *alpha, one, *cur_soln_vec );
      lp_->updateSolution();
 
      // Compute the new residual R_ := R_ - alpha * AP_
      MVT::MvTimesMatAddMv( -one, *AP_, *alpha, one, *R_ );
 
      // Compute the new preconditioned residual, Z_.
      if ( lp_->getLeftPrec() != Teuchos::null ) {
        lp_->applyLeftPrec( *R_, *Z_ );
        if ( lp_->getRightPrec() != Teuchos::null ) {
          Teuchos::RCP<MV> tmp = MVT::Clone( *Z_, blockSize_ );
          lp_->applyRightPrec( *Z_, *tmp );
          Z_ = tmp;
        }
      }
      else if ( lp_->getRightPrec() != Teuchos::null ) {
        lp_->applyRightPrec( *R_, *Z_ );
      }
      else {
        Z_ = R_;
      }
 
      // Compute beta := <AP_,Z_> / <P_,AP_>
      // 1) Compute AP_^T * Z_
      // 2) Compute the Cholesky Factorization of pAp (already have)
      // 3) Back and forward solves to compute beta
 
      // Compute <AP_,Z>
      MVT::MvTransMv( -one, *AP_, *Z_, *beta );
 
      lltSolver->setVectors( beta, beta );
      info = lltSolver->solve();
      TEUCHOS_TEST_FOR_EXCEPTION
        (info != 0, CGIterationLAPACKFailure,
         prefix << "Failed to compute beta using Cholesky factorization (POTRS).");
 
      // Compute the new direction vectors P_ = Z_ + P_ * beta
      Teuchos::RCP<MV> Pnew = MVT::CloneCopy( *Z_ );
      MVT::MvTimesMatAddMv(one, *P_, *beta, one, *Pnew);
      P_ = Pnew;
 
      // Compute orthonormal block of new direction vectors.
      rank = ortho_->normalize( *P_, Teuchos::null );
      TEUCHOS_TEST_FOR_EXCEPTION
        (rank != blockSize_, CGIterationOrthoFailure,
         prefix << "Failed to compute block of orthonormal direction vectors.");
 
    } // end while (sTest_->checkStatus(this) != Passed)
  }
 
} // namespace Belos
 
#endif /* BELOS_BLOCK_CG_ITER_HPP */