Ifpack_DropFilter.cpp

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//       Ifpack: Object-Oriented Algebraic Preconditioner Package
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#include "Ifpack_ConfigDefs.h"
#include "Ifpack_DropFilter.h"
#include "Epetra_ConfigDefs.h"
#include "Epetra_RowMatrix.h"
#include "Epetra_Comm.h"
#include "Epetra_Map.h"
#include "Epetra_MultiVector.h"
#include "Epetra_Vector.h"
 
//==============================================================================
Ifpack_DropFilter::Ifpack_DropFilter(const Teuchos::RefCountPtr<Epetra_RowMatrix>& Matrix,
                                     double DropTol) :
  A_(Matrix),
  DropTol_(DropTol),
  MaxNumEntries_(0),
  MaxNumEntriesA_(0),
  NumNonzeros_(0)
{
  using std::cerr;
  using std::endl;
 
  // use this filter only on serial matrices
  if (A_->Comm().NumProc() != 1) {
    cerr << "Ifpack_DropFilter can be used with Comm().NumProc() == 1" << endl;
    cerr << "only. This class is a tool for Ifpack_AdditiveSchwarz," << endl;
    cerr << "and it is not meant to be used otherwise." << endl;
    exit(EXIT_FAILURE);
  }
 
  if ((A_->NumMyRows() != A_->NumGlobalRows64()) ||
      (A_->NumMyRows() != A_->NumMyCols()))
    IFPACK_CHK_ERRV(-2);
 
  NumRows_ = A_->NumMyRows();
  MaxNumEntriesA_ = A_->MaxNumEntries();
 
  NumEntries_.resize(NumRows_);
  Indices_.resize(MaxNumEntriesA_);
  Values_.resize(MaxNumEntriesA_);
 
  std::vector<int>    Ind(MaxNumEntriesA_);
  std::vector<double> Val(MaxNumEntriesA_);
 
  for (int i = 0 ; i < NumRows_ ; ++i) {
    NumEntries_[i] = MaxNumEntriesA_;
    int Nnz;
    IFPACK_CHK_ERRV(ExtractMyRowCopy(i,MaxNumEntriesA_,Nnz,
                                     &Val[0], &Ind[0]));
 
    NumEntries_[i] = Nnz;
    NumNonzeros_ += Nnz;
    if (Nnz > MaxNumEntries_)
      MaxNumEntries_ = Nnz;
  }
 
}
 
//==============================================================================
int Ifpack_DropFilter::
ExtractMyRowCopy(int MyRow, int Length, int & NumEntries,
                 double *Values, int * Indices) const
{
  if (Length < NumEntries_[MyRow])
    IFPACK_CHK_ERR(-1);
 
  int Nnz;
 
  IFPACK_CHK_ERR(A_->ExtractMyRowCopy(MyRow,MaxNumEntriesA_,Nnz,
                                     &Values_[0],&Indices_[0]));
 
  // loop over all nonzero elements of row MyRow,
  // and drop elements below specified threshold.
  // Also, add value to zero diagonal
  int count = 0;
  for (int i = 0 ; i < Nnz ; ++i) {
 
    // if element is above specified tol, add to the
    // user's defined arrays. Check that we are not
    // exceeding allocated space. Do not drop any diagonal entry.
    if ((Indices_[i] == MyRow) || (IFPACK_ABS(Values_[i]) >= DropTol_)) {
      if (count == Length)
        IFPACK_CHK_ERR(-1);
      Values[count] = Values_[i];
      Indices[count] = Indices_[i];
      count++;
    }
  }
 
  NumEntries = count;
  return(0);
}
 
//==============================================================================
int Ifpack_DropFilter::
ExtractDiagonalCopy(Epetra_Vector & Diagonal) const
{
  IFPACK_CHK_ERR(A_->ExtractDiagonalCopy(Diagonal));
  return(0);
}
 
//==============================================================================
int Ifpack_DropFilter::
Multiply(bool TransA, const Epetra_MultiVector& X,
         Epetra_MultiVector& Y) const
{
  // NOTE: I suppose that the matrix has been localized,
  // hence all maps are trivial.
  int NumVectors = X.NumVectors();
  if (NumVectors != Y.NumVectors())
    IFPACK_CHK_ERR(-1);
 
  Y.PutScalar(0.0);
 
  std::vector<int> Indices(MaxNumEntries_);
  std::vector<double> Values(MaxNumEntries_);
 
  for (int i = 0 ; i < NumRows_ ; ++i) {
 
    int Nnz;
    ExtractMyRowCopy(i,MaxNumEntries_,Nnz,
                     &Values[0], &Indices[0]);
    if (!TransA) {
      // no transpose first
      for (int j = 0 ; j < NumVectors ; ++j) {
        for (int k = 0 ; k < Nnz ; ++k) {
          Y[j][i] += Values[k] * X[j][Indices[k]];
        }
      }
    }
    else {
      // transpose here
      for (int j = 0 ; j < NumVectors ; ++j) {
        for (int k = 0 ; k < Nnz ; ++k) {
          Y[j][Indices[k]] += Values[k] * X[j][i];
        }
      }
    }
  }
 
  return(0);
}
 
//==============================================================================
int Ifpack_DropFilter::
Solve(bool /* Upper */, bool /* Trans */, bool /* UnitDiagonal */,
      const Epetra_MultiVector& /* X */, Epetra_MultiVector& /* Y */) const
{
  IFPACK_CHK_ERR(-99);
}
 
//==============================================================================
int Ifpack_DropFilter::
Apply(const Epetra_MultiVector& X, Epetra_MultiVector& Y) const
{
  int ierr = Multiply(UseTranspose(),X,Y);
  IFPACK_RETURN(ierr);
}
 
//==============================================================================
int Ifpack_DropFilter::
ApplyInverse(const Epetra_MultiVector& /* X */, Epetra_MultiVector& /* Y */) const
{
  IFPACK_CHK_ERR(-99);
}
 
//==============================================================================
int Ifpack_DropFilter::InvRowSums(Epetra_Vector& /* x */) const
{
  IFPACK_CHK_ERR(-1);
}
 
//==============================================================================
int Ifpack_DropFilter::InvColSums(Epetra_Vector& /* x */) const
{
  IFPACK_CHK_ERR(-1);
}