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/* ******************************************************************** */
/* See the file COPYRIGHT for a complete copyright notice, contact */
/* person and disclaimer. */
/* ******************************************************************** */
#include "ml_config.h"
#include "ml_common.h"
#ifdef HAVE_ML_MLAPI
#include "MLAPI.h"
#include "MLAPI_SAMIS.h"
using namespace Teuchos;
using namespace MLAPI;
// ============== //
// example driver //
// ============== //
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
#endif
if (argc != 2) {
fprintf(stderr, "Usage: `%s InputFile'\n", argv[0]);
fprintf(stderr, "An example of input file is reported\n");
fprintf(stderr, "in the source of this example\n");
exit(EXIT_SUCCESS);
}
string InputFile = argv[1];
// Initialize the workspace and set the output level
Init();
try {
int NumPDEEqns;
Operator A;
ReadSAMISMatrix("mtx.dat", A, NumPDEEqns);
Teuchos::ParameterList List = ReadParameterList(InputFile.c_str());
int MaxLevels = List.get("max levels", 10);
int AdditionalCandidates = List.get("additional candidates", 2);
int limKer = List.get("limit kernel", -1);
if (AdditionalCandidates == 0 && limKer == 0)
limKer = -1;
// create multilevel preconditioner, do not compute hierarchy
MultiLevelAdaptiveSA Prec(A, List, NumPDEEqns);
if (limKer) {
MultiVector NS;
ReadSAMISKernel("ker.dat", NS, limKer);
Prec.SetNullSpace(NS);
Prec.AdaptCompute(true, AdditionalCandidates);
}
else {
Prec.AdaptCompute(false, AdditionalCandidates);
}
MultiVector LHS(A.GetDomainSpace());
MultiVector RHS(A.GetRangeSpace());
LHS.Random();
RHS = 0.0;
// Set krylov: type unless specified in the config. file
if (List.isParameter("krylov: type") == 0)
List.set("krylov: type","cg_condnum");
Krylov(A, LHS, RHS, Prec, List);
Finalize();
}
catch (const int e) {
cerr << "Caught integer exception, code = " << e << endl;
}
catch (...) {
cerr << "Caught exception..." << endl;
}
#ifdef HAVE_MPI
MPI_Finalize() ;
#endif
return(0);
}
#else
#include "ml_include.h"
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
#endif
puts("This MLAPI example requires the following configuration options:");
puts("\t--enable-epetra");
puts("\t--enable-teuchos");
puts("\t--enable-ifpack");
puts("\t--enable-amesos");
puts("Please check your configure line.");
#ifdef HAVE_MPI
MPI_Finalize();
#endif
return(0);
}
#endif // #if defined(HAVE_ML_MLAPI)
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