コード例 #1
0
ファイル: MLAPI_Eig.cpp プロジェクト: gitter-badger/quinoa
// ====================================================================== 
void Eig(const Operator& Op, MultiVector& ER, MultiVector& EI)
{
  int ierr;
  if (Op.GetDomainSpace() != Op.GetRangeSpace())
    ML_THROW("Matrix is not square", -1);

  ER.Reshape(Op.GetDomainSpace());
  EI.Reshape(Op.GetDomainSpace());

  Epetra_LinearProblem Problem;
  Problem.SetOperator(const_cast<Epetra_RowMatrix*>(Op.GetRowMatrix()));
  Amesos_Lapack Lapack(Problem);

  Epetra_Vector ER_Epetra(Op.GetRowMatrix()->RowMatrixRowMap());
  Epetra_Vector EI_Epetra(Op.GetRowMatrix()->RowMatrixRowMap());

  ierr = Lapack.GEEV(ER_Epetra, EI_Epetra);

  if (ierr)
    ML_THROW("GEEV returned error code = " + GetString(ierr), -1);
  
  for (int i = 0 ; i < ER.GetMyLength() ; ++i) {
    ER(i) = ER_Epetra[i];
    EI(i) = EI_Epetra[i];
  }
}
コード例 #2
0
ファイル: MLAPI_Eig.cpp プロジェクト: gitter-badger/quinoa
// ====================================================================== 
// FIXME: Add List
void Eigs(const Operator& A, int NumEigenvalues, 
          MultiVector& ER, MultiVector& EI)
{

  if (A.GetDomainSpace() != A.GetRangeSpace())
    ML_THROW("Input Operator is not square", -1);

  double time;

  time = GetClock();

  int length = NumEigenvalues;
  double tol = 1e-3;
  int restarts = 1;
  int output = 10;
  bool PrintStatus = true;

  // 1.- set parameters for Anasazi
  Teuchos::ParameterList AnasaziList;
  // MatVec should be either "A" or "ML^{-1}A"
  AnasaziList.set("eigen-analysis: matrix operation", "A");
  AnasaziList.set("eigen-analysis: use diagonal scaling", false);
  AnasaziList.set("eigen-analysis: symmetric problem", false);
  AnasaziList.set("eigen-analysis: length", length);
  AnasaziList.set("eigen-analysis: block-size",1);
  AnasaziList.set("eigen-analysis: tolerance", tol);
  AnasaziList.set("eigen-analysis: restart", restarts);
  AnasaziList.set("eigen-analysis: output", output);
  AnasaziList.get("eigen-analysis: print current status",PrintStatus);

  // data to hold real and imag for eigenvalues and eigenvectors
  Space ESpace(-1, NumEigenvalues);
  ER.Reshape(ESpace);
  EI.Reshape(ESpace);

  // this is the starting value -- random
  Epetra_MultiVector EigenVectors(A.GetRowMatrix()->OperatorDomainMap(),
                                  NumEigenvalues);
  EigenVectors.Random();
#ifdef HAVE_ML_ANASAxI
  //int NumRealEigenvectors, NumImagEigenvectors;
#endif

  AnasaziList.set("eigen-analysis: action", "LM");

#ifdef HAVE_ML_ANASAxI
  ML_THROW("fixme...", -1);
  /* FIXME
  ML_Anasazi::Interface(A.GetRowMatrix(),EigenVectors,ER.GetValues(),
			EI.GetValues(), AnasaziList, 0, 0,
			&NumRealEigenvectors, &NumImagEigenvectors, 0);
                        */
#else
  ML_THROW("Anasazi is no longer supported", -1);
#endif

  return;
}
コード例 #3
0
ファイル: MLAPI_Krylov.cpp プロジェクト: 00liujj/trilinos
// ======================================================================
void Krylov(const Operator& A, const MultiVector& LHS,
            const MultiVector& RHS, const BaseOperator& Prec,
            Teuchos::ParameterList& List)
{
#ifndef HAVE_ML_AZTECOO
      std::cerr << "Please configure ML with --enable-aztecoo to use" << std::endl;
      std::cerr << "MLAPI Krylov solvers" << std::endl;
      exit(EXIT_FAILURE);
#else
  if (LHS.GetNumVectors() != 1)
    ML_THROW("FIXME: only one vector is currently supported", -1);

  Epetra_LinearProblem Problem;

  const Epetra_RowMatrix& A_Epetra = *(A.GetRowMatrix());

  Epetra_Vector LHS_Epetra(View,A_Epetra.OperatorDomainMap(),
                           (double*)&(LHS(0)));
  Epetra_Vector RHS_Epetra(View,A_Epetra.OperatorRangeMap(),
                           (double*)&(RHS(0)));

  // FIXME: this works only for Epetra-based operators
  Problem.SetOperator((const_cast<Epetra_RowMatrix*>(&A_Epetra)));
  Problem.SetLHS(&LHS_Epetra);
  Problem.SetRHS(&RHS_Epetra);

  AztecOO solver(Problem);

  EpetraBaseOperator Prec_Epetra(A_Epetra.OperatorDomainMap(),Prec);
  solver.SetPrecOperator(&Prec_Epetra);

  // get options from List
  int    NumIters = List.get("krylov: max iterations", 1550);
  double Tol      = List.get("krylov: tolerance", 1e-9);
  std::string type     = List.get("krylov: type", "gmres");
  int    output   = List.get("krylov: output level", GetPrintLevel());

  // set options in `solver'
  if (type == "cg")
    solver.SetAztecOption(AZ_solver, AZ_cg);
  else if (type == "cg_condnum")
    solver.SetAztecOption(AZ_solver, AZ_cg_condnum);
  else if (type == "gmres")
    solver.SetAztecOption(AZ_solver, AZ_gmres);
  else if (type == "gmres_condnum")
    solver.SetAztecOption(AZ_solver, AZ_gmres_condnum);
  else if (type == "fixed point")
    solver.SetAztecOption(AZ_solver, AZ_fixed_pt);
  else
    ML_THROW("krylov: type has incorrect value (" +
             type + ")", -1);

  solver.SetAztecOption(AZ_output, output);
  solver.Iterate(NumIters, Tol);
#endif

}
コード例 #4
0
// ====================================================================== 
void PrintSparsity(const Operator& A, int NumPDEEquations)
{
  std::string FileName = A.GetLabel() + ".ps";
  Ifpack_PrintSparsity(*(A.GetRowMatrix()), FileName.c_str(),
                       NumPDEEquations);
}
コード例 #5
0
// ====================================================================== 
void AnalyzeCheap(const Operator& A) 
{
  Ifpack_Analyze(*(A.GetRowMatrix()));
}