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epetra/example/GCRODR/GCRODREpetraExFile.cpp

This is an example of how to use the Belos::GCRODRSolMgr solver manager using Epetra.

This is an example of how to use the Belos::GCRODRSolMgr solver manager using Epetra.

// @HEADER
// *****************************************************************************
// Belos: Block Linear Solvers Package
//
// Copyright 2004-2016 NTESS and the Belos contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
//
// This driver reads a problem from a file, which can be in Harwell-Boeing (*.hb),
// Matrix Market (*.mtx), or triplet format (*.triU, *.triS). The right-hand side
// from the problem, if it exists, will be used instead of multiple
// random right-hand-sides. The initial guesses are all set to zero.
//
// NOTE: No preconditioner is used in this example.
//
#include "BelosEpetraAdapter.hpp"
#include "EpetraExt_readEpetraLinearSystem.h"
#include "Epetra_Map.h"
#ifdef EPETRA_MPI
#include "Epetra_MpiComm.h"
#else
#include "Epetra_SerialComm.h"
#endif
#include "Epetra_CrsMatrix.h"
#include "Teuchos_CommandLineProcessor.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_StandardCatchMacros.hpp"
int main(int argc, char *argv[]) {
//
int MyPID = 0;
#ifdef EPETRA_MPI
// Initialize MPI
MPI_Init(&argc,&argv);
Epetra_MpiComm Comm(MPI_COMM_WORLD);
MyPID = Comm.MyPID();
#else
Epetra_SerialComm Comm;
#endif
//
typedef double ST;
typedef Teuchos::ScalarTraits<ST> SCT;
typedef SCT::magnitudeType MT;
typedef Epetra_MultiVector MV;
typedef Epetra_Operator OP;
using Teuchos::ParameterList;
using Teuchos::RCP;
using Teuchos::rcp;
bool verbose = false;
bool success = true;
try {
bool proc_verbose = false;
bool debug = false;
int frequency = -1; // frequency of status test output.
int numrhs = 1; // number of right-hand sides to solve for
int maxiters = -1; // maximum number of iterations allowed per linear system
int maxsubspace = 250; // maximum number of blocks the solver can use for the subspace
int recycle = 50; // maximum number of blocks the solver can use for the subspace
int maxrestarts = 15; // number of restarts allowed
std::string filename("sherman5.hb");
std::string ortho("IMGS");
MT tol = 1.0e-10; // relative residual tolerance
Teuchos::CommandLineProcessor cmdp(false,true);
cmdp.setOption("verbose","quiet",&verbose,"Print messages and results.");
cmdp.setOption("debug","nodebug",&debug,"Print debugging information from the solver.");
cmdp.setOption("frequency",&frequency,"Solvers frequency for printing residuals (#iters).");
cmdp.setOption("filename",&filename,"Filename for test matrix. Acceptable file extensions: *.hb,*.mtx,*.triU,*.triS");
cmdp.setOption("tol",&tol,"Relative residual tolerance used by GMRES solver.");
cmdp.setOption("num-rhs",&numrhs,"Number of right-hand sides to be solved for.");
cmdp.setOption("max-iters",&maxiters,"Maximum number of iterations per linear system (-1 = adapted to problem/block size).");
cmdp.setOption("max-subspace",&maxsubspace,"Maximum number of vectors in search space (including recycle space).");
cmdp.setOption("recycle",&recycle,"Number of vectors in recycle space.");
cmdp.setOption("max-cycles",&maxrestarts,"Maximum number of cycles allowed for GCRO-DR solver.");
cmdp.setOption("ortho-type",&ortho,"Orthogonalization type. Must be one of DGKS, ICGS, IMGS.");
if (cmdp.parse(argc,argv) != Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL) {
return -1;
}
if (!verbose)
frequency = -1; // reset frequency if test is not verbose
//
// Get the problem
//
RCP<Epetra_Map> Map;
RCP<Epetra_CrsMatrix> A;
RCP<Epetra_MultiVector> B, X;
RCP<Epetra_Vector> vecB, vecX;
EpetraExt::readEpetraLinearSystem(filename, Comm, &A, &Map, &vecX, &vecB);
A->OptimizeStorage();
proc_verbose = verbose && (MyPID==0); /* Only print on the zero processor */
// Check to see if the number of right-hand sides is the same as requested.
if (numrhs>1) {
X = rcp( new Epetra_MultiVector( *Map, numrhs ) );
B = rcp( new Epetra_MultiVector( *Map, numrhs ) );
X->Random();
OPT::Apply( *A, *X, *B );
X->PutScalar( 0.0 );
}
else {
X = Teuchos::rcp_implicit_cast<Epetra_MultiVector>(vecX);
B = Teuchos::rcp_implicit_cast<Epetra_MultiVector>(vecB);
}
//
// ********Other information used by block solver***********
// *****************(can be user specified)******************
//
const int NumGlobalElements = B->GlobalLength();
if (maxiters == -1)
maxiters = NumGlobalElements - 1; // maximum number of iterations to run
//
ParameterList belosList;
belosList.set( "Num Blocks", maxsubspace); // Maximum number of blocks in Krylov factorization
belosList.set( "Maximum Iterations", maxiters ); // Maximum number of iterations allowed
belosList.set( "Maximum Restarts", maxrestarts ); // Maximum number of restarts allowed
belosList.set( "Convergence Tolerance", tol ); // Relative convergence tolerance requested
belosList.set( "Num Recycled Blocks", recycle ); // Number of vectors in recycle space
belosList.set( "Orthogonalization", ortho ); // Orthogonalization type
int verbosity = Belos::Errors + Belos::Warnings;
if (verbose) {
if (frequency > 0)
belosList.set( "Output Frequency", frequency );
}
if (debug) {
verbosity += Belos::Debug;
}
belosList.set( "Verbosity", verbosity );
//
// Construct an unpreconditioned linear problem instance.
//
bool set = problem.setProblem();
if (set == false) {
if (proc_verbose)
std::cout << std::endl << "ERROR: Belos::LinearProblem failed to set up correctly!" << std::endl;
return -1;
}
//
// *******************************************************************
// *************Start the GCRO-DR iteration*************************
// *******************************************************************
//
// Create an iterative solver manager.
RCP< Belos::SolverManager<double,MV,OP> > newSolver
= rcp( new Belos::GCRODRSolMgr<double,MV,OP>(rcp(&problem,false), rcp(&belosList,false)));
//
// **********Print out information about problem*******************
//
if (proc_verbose) {
std::cout << std::endl << std::endl;
std::cout << "Dimension of matrix: " << NumGlobalElements << std::endl;
std::cout << "Number of right-hand sides: " << numrhs << std::endl;
std::cout << "Max number of restarts allowed: " << maxrestarts << std::endl;
std::cout << "Max number of iterations per restart cycle: " << maxiters << std::endl;
std::cout << "Relative residual tolerance: " << tol << std::endl;
std::cout << std::endl;
}
//
// Perform solve
//
Belos::ReturnType ret = newSolver->solve();
//
// Get the number of iterations for this solve.
//
int numIters = newSolver->getNumIters();
std::cout << "Number of iterations performed for this solve: " << numIters << std::endl;
//
// Compute actual residuals.
//
bool badRes = false;
std::vector<double> actual_resids( numrhs );
std::vector<double> rhs_norm( numrhs );
Epetra_MultiVector resid(*Map, numrhs);
OPT::Apply( *A, *X, resid );
MVT::MvAddMv( -1.0, resid, 1.0, *B, resid );
MVT::MvNorm( resid, actual_resids );
MVT::MvNorm( *B, rhs_norm );
if (proc_verbose) {
std::cout<< "---------- Actual Residuals (normalized) ----------"<<std::endl<<std::endl;
for ( int i=0; i<numrhs; i++) {
double actRes = actual_resids[i]/rhs_norm[i];
std::cout<<"Problem "<<i<<" : \t"<< actRes <<std::endl;
if (actRes > tol) badRes = true;
}
}
if (ret!=Belos::Converged || badRes) {
success = false;
if (proc_verbose)
std::cout << std::endl << "ERROR: Belos did not converge!" << std::endl;
} else {
success = true;
if (proc_verbose)
std::cout << std::endl << "SUCCESS: Belos converged!" << std::endl;
}
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(verbose, std::cerr, success);
#ifdef EPETRA_MPI
MPI_Finalize();
#endif
return success ? EXIT_SUCCESS : EXIT_FAILURE;
}
Belos header file which uses auto-configuration information to include necessary C++ headers.
Declaration and definition of Belos::GCRODRSolMgr, which implements the GCRODR (recycling GMRES) solv...
Class which describes the linear problem to be solved by the iterative solver.
Implementation of the GCRODR (Recycling GMRES) iterative linear solver.
virtual bool setProblem(const Teuchos::RCP< MV > &newX=Teuchos::null, const Teuchos::RCP< const MV > &newB=Teuchos::null)
Set up the linear problem manager.
Traits class which defines basic operations on multivectors.
Class which defines basic traits for the operator type.
@ StatusTestDetails
@ TimingDetails
ReturnType
Whether the Belos solve converged for all linear systems.

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