Пример #1
0
// ======================================================================
int GetAggregates(Epetra_RowMatrix& A, Teuchos::ParameterList& List,
                  double* thisns, Epetra_IntVector& aggrinfo)
{
  if (!A.RowMatrixRowMap().SameAs(aggrinfo.Map()))
    ML_THROW("map of aggrinfo must match row map of operator", -1);

  std::string CoarsenType     = List.get("aggregation: type", "Uncoupled");
  double Threshold       = List.get("aggregation: threshold", 0.0);
  int    NumPDEEquations = List.get("PDE equations", 1);
  int    nsdim           = List.get("null space: dimension",-1);
  if (nsdim==-1) ML_THROW("dimension of nullspace not set", -1);
  int size = A.RowMatrixRowMap().NumMyElements();

  ML_Aggregate* agg_object;
  ML_Aggregate_Create(&agg_object);
  ML_Aggregate_KeepInfo(agg_object,1);
  ML_Aggregate_Set_MaxLevels(agg_object,2);
  ML_Aggregate_Set_StartLevel(agg_object,0);
  ML_Aggregate_Set_Threshold(agg_object,Threshold);
  //agg_object->curr_threshold = 0.0;

  ML_Operator* ML_Ptent = 0;
  ML_Ptent = ML_Operator_Create(GetML_Comm());

  if (!thisns)
    ML_THROW("nullspace is NULL", -1);

  ML_Aggregate_Set_NullSpace(agg_object, NumPDEEquations,
                             nsdim, thisns,size);

  if (CoarsenType == "Uncoupled")
    agg_object->coarsen_scheme = ML_AGGR_UNCOUPLED;
  else if (CoarsenType == "Uncoupled-MIS")
    agg_object->coarsen_scheme = ML_AGGR_HYBRIDUM;
  else if (CoarsenType == "MIS") {
   /* needed for MIS, otherwise it sets the number of equations to
    * the null space dimension */
    agg_object->max_levels  = -7;
    agg_object->coarsen_scheme = ML_AGGR_MIS;
  }
  else if (CoarsenType == "METIS")
    agg_object->coarsen_scheme = ML_AGGR_METIS;
  else {
    ML_THROW("Requested aggregation scheme (" + CoarsenType +
             ") not recognized", -1);
  }

  ML_Operator* ML_A = ML_Operator_Create(GetML_Comm());
  ML_Operator_WrapEpetraMatrix(&A,ML_A);

  int NextSize = ML_Aggregate_Coarsen(agg_object, ML_A,
                                      &ML_Ptent, GetML_Comm());

  int* aggrmap = NULL;
  ML_Aggregate_Get_AggrMap(agg_object,0,&aggrmap);
  if (!aggrmap) ML_THROW("aggr_info not available", -1);

#if 0 // debugging
  fflush(stdout);
  for (int proc=0; proc<A.GetRowMatrix()->Comm().NumProc(); ++proc)
  {
    if (A.GetRowMatrix()->Comm().MyPID()==proc)
    {
      std::cout << "Proc " << proc << ":" << std::endl;
      std::cout << "aggrcount " << aggrcount << std::endl;
      std::cout << "NextSize " << NextSize << std::endl;
      for (int i=0; i<size; ++i)
        std::cout << "aggrmap[" << i << "] = " << aggrmap[i] << std::endl;
      fflush(stdout);
    }
    A.GetRowMatrix()->Comm().Barrier();
  }
#endif

  assert (NextSize * nsdim != 0);
  for (int i=0; i<size; ++i) aggrinfo[i] = aggrmap[i];

  ML_Aggregate_Destroy(&agg_object);

  return (NextSize/nsdim);
}