// ================================================ ====== ==== ==== == =
int ML_Epetra::FaceMatrixFreePreconditioner::NodeAggregate(ML_Aggregate_Struct *&MLAggr,ML_Operator *&P,ML_Operator* TMT_ML,int &NumAggregates){
/* Pull Teuchos Options */
string CoarsenType = List_.get("aggregation: type", "Uncoupled");
double Threshold = List_.get("aggregation: threshold", 0.0);
int NodesPerAggr = List_.get("aggregation: nodes per aggregate",
ML_Aggregate_Get_OptimalNumberOfNodesPerAggregate());
string PrintMsg_ = "FMFP (Level 0): ";
ML_Aggregate_Create(&MLAggr);
ML_Aggregate_Set_MaxLevels(MLAggr, 2);
ML_Aggregate_Set_StartLevel(MLAggr, 0);
ML_Aggregate_Set_Threshold(MLAggr, Threshold);
ML_Aggregate_Set_MaxCoarseSize(MLAggr,1);
MLAggr->cur_level = 0;
ML_Aggregate_Set_Reuse(MLAggr);
MLAggr->keep_agg_information = 1;
P = ML_Operator_Create(ml_comm_);
/* Process Teuchos Options */
if (CoarsenType == "Uncoupled")
ML_Aggregate_Set_CoarsenScheme_Uncoupled(MLAggr);
else if (CoarsenType == "Uncoupled-MIS"){
ML_Aggregate_Set_CoarsenScheme_UncoupledMIS(MLAggr);
}
else if (CoarsenType == "METIS"){
ML_Aggregate_Set_CoarsenScheme_METIS(MLAggr);
ML_Aggregate_Set_NodesPerAggr(0, MLAggr, 0, NodesPerAggr);
}/*end if*/
else {
if(!Comm_->MyPID()) printf("FMFP: Unsupported (1,1) block aggregation type(%s), resetting to uncoupled-mis\n",CoarsenType.c_str());
ML_Aggregate_Set_CoarsenScheme_UncoupledMIS(MLAggr);
}
/* Aggregate Nodes */
int printlevel=ML_Get_PrintLevel();
ML_Set_PrintLevel(10);
NumAggregates = ML_Aggregate_Coarsen(MLAggr, TMT_ML, &P, ml_comm_);
ML_Set_PrintLevel(printlevel);
if (NumAggregates == 0){
cerr << "Found 0 aggregates, perhaps the problem is too small." << endl;
ML_CHK_ERR(-2);
}/*end if*/
else if(very_verbose_) printf("[%d] FMFP: %d aggregates created invec_leng=%d\n",Comm_->MyPID(),NumAggregates,P->invec_leng);
int globalAggs;
Comm_->SumAll(&NumAggregates,&globalAggs,1);
if( verbose_ && !Comm_->MyPID()) {
std::cout << PrintMsg_ << "Aggregation threshold = " << Threshold << std::endl;
std::cout << PrintMsg_ << "Global aggregates = " << globalAggs << std::endl;
//ML_Aggregate_Print_Complexity(MLAggr);
}
if(P==0) {fprintf(stderr,"%s","ERROR: No tentative prolongator found\n");ML_CHK_ERR(-5);}
return 0;
}
// ================================================ ====== ==== ==== == =
int ML_Epetra::RefMaxwell_Aggregate_Nodes(const Epetra_CrsMatrix & A, Teuchos::ParameterList & List, ML_Comm * ml_comm, std::string PrintMsg,
ML_Aggregate_Struct *& MLAggr,ML_Operator *&P, int &NumAggregates){
/* Output level */
bool verbose, very_verbose;
int OutputLevel = List.get("ML output", -47);
if(OutputLevel == -47) OutputLevel = List.get("output", 1);
if(OutputLevel>=15) very_verbose=verbose=true;
if(OutputLevel > 5) {very_verbose=false;verbose=true;}
else very_verbose=verbose=false;
/* Wrap A in a ML_Operator */
ML_Operator* A_ML = ML_Operator_Create(ml_comm);
ML_Operator_WrapEpetraCrsMatrix(const_cast<Epetra_CrsMatrix*>(&A),A_ML);
/* Pull Teuchos Options */
std::string CoarsenType = List.get("aggregation: type", "Uncoupled");
double Threshold = List.get("aggregation: threshold", 0.0);
int NodesPerAggr = List.get("aggregation: nodes per aggregate",
ML_Aggregate_Get_OptimalNumberOfNodesPerAggregate());
bool UseAux = List.get("aggregation: aux: enable",false);
double AuxThreshold = List.get("aggregation: aux: threshold",0.0);
int MaxAuxLevels = List.get("aggregation: aux: max levels",10);
ML_Aggregate_Create(&MLAggr);
ML_Aggregate_Set_MaxLevels(MLAggr, 2);
ML_Aggregate_Set_StartLevel(MLAggr, 0);
ML_Aggregate_Set_Threshold(MLAggr, Threshold);
ML_Aggregate_Set_MaxCoarseSize(MLAggr,1);
MLAggr->cur_level = 0;
ML_Aggregate_Set_Reuse(MLAggr);
MLAggr->keep_agg_information = 1;
P = ML_Operator_Create(ml_comm);
/* Process Teuchos Options */
if (CoarsenType == "Uncoupled")
ML_Aggregate_Set_CoarsenScheme_Uncoupled(MLAggr);
else if (CoarsenType == "Uncoupled-MIS"){
ML_Aggregate_Set_CoarsenScheme_UncoupledMIS(MLAggr);
}
else if (CoarsenType == "METIS"){
ML_Aggregate_Set_CoarsenScheme_METIS(MLAggr);
ML_Aggregate_Set_NodesPerAggr(0, MLAggr, 0, NodesPerAggr);
}/*end if*/
else {
if(!A.Comm().MyPID()) printf("%s Unsupported (1,1) block aggregation type(%s), resetting to uncoupled-mis\n",PrintMsg.c_str(),CoarsenType.c_str());
ML_Aggregate_Set_CoarsenScheme_UncoupledMIS(MLAggr);
}
/* Setup Aux Data */
if(UseAux) {
A_ML->aux_data->enable=1;
A_ML->aux_data->threshold=AuxThreshold;
A_ML->aux_data->max_level=MaxAuxLevels;
ML_Init_Aux(A_ML,List);
if(verbose && !A.Comm().MyPID()) {
printf("%s Using auxiliary matrix\n",PrintMsg.c_str());
printf("%s aux threshold = %e\n",PrintMsg.c_str(),A_ML->aux_data->threshold);
}
}
/* Aggregate Nodes */
int printlevel=ML_Get_PrintLevel();
if(verbose) ML_Set_PrintLevel(10);
NumAggregates = ML_Aggregate_Coarsen(MLAggr,A_ML, &P, ml_comm);
if(verbose) ML_Set_PrintLevel(printlevel);
if (NumAggregates == 0){
std::cerr << "Found 0 aggregates, perhaps the problem is too small." << std::endl;
ML_CHK_ERR(-2);
}/*end if*/
else if(very_verbose) printf("[%d] %s %d aggregates created invec_leng=%d\n",A.Comm().MyPID(),PrintMsg.c_str(),NumAggregates,P->invec_leng);
if(verbose){
int globalAggs=0;
A.Comm().SumAll(&NumAggregates,&globalAggs,1);
if(!A.Comm().MyPID()) {
printf("%s Aggregation threshold = %e\n",PrintMsg.c_str(),Threshold);
printf("%s Global aggregates = %d\n",PrintMsg.c_str(),globalAggs);
}
}
/* Cleanup */
ML_qr_fix_Destroy();
if(UseAux) ML_Finalize_Aux(A_ML);
ML_Operator_Destroy(&A_ML);
return 0;
}
