本文整理汇总了C++中teuchos::RCP::Iterate方法的典型用法代码示例。如果您正苦于以下问题:C++ RCP::Iterate方法的具体用法?C++ RCP::Iterate怎么用?C++ RCP::Iterate使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类teuchos::RCP
的用法示例。
在下文中一共展示了RCP::Iterate方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
//.........这里部分代码省略.........
Teuchos::RCP<Ifpack_Preconditioner> PreconditionerPtr;
PreconditionerPtr = Teuchos::rcp(Factory.Create("ILU",
jacobian_matrix.get(),0));
Teuchos::ParameterList teuchosParams;
PreconditionerPtr->SetParameters(teuchosParams);
PreconditionerPtr->Initialize();
PreconditionerPtr->Compute();
if (verbose)
p.out() << "Creating Aztec Solver" << std::endl;
Teuchos::RCP<AztecOO> aztecSolverPtr = Teuchos::rcp(new AztecOO());
if (verbose)
aztecSolverPtr->SetAztecOption(AZ_output, AZ_last);
else
aztecSolverPtr->SetAztecOption(AZ_output, AZ_none);
// *******************************
// Reuse Test
// *******************************
if (verbose) {
p.out() << "**********************************************" << std::endl;
p.out() << "Testing Newton solve with prec reuse" << std::endl;
p.out() << "**********************************************" << std::endl;
}
int step_number = 0;
int max_steps = 20;
bool converged = false;
int total_linear_iterations = 0;
while (norm > 1.0e-8 && step_number < max_steps) {
step_number++;
if (verbose)
p.out() << "Step " << step_number << ", ||F|| = " << norm << std::endl;
aztecSolverPtr->SetUserMatrix(jacobian_matrix.get(), false);
aztecSolverPtr->SetPrecOperator(PreconditionerPtr.get());
aztecSolverPtr->SetRHS(rhs_vec.get());
aztecSolverPtr->SetLHS(lhs_vec.get());
aztecSolverPtr->Iterate(400, 1.0e-4);
solution_vec->Update(1.0, *lhs_vec, 1.0);
interface->computeF(*solution_vec, *rhs_vec);
rhs_vec->Scale(-1.0);
interface->computeJacobian(*solution_vec, *jacobian_matrix);
rhs_vec->Norm2(&norm);
total_linear_iterations += aztecSolverPtr->NumIters();
if (norm < 1.0e-8)
converged = true;
}
if (verbose) {
p.out() << "Final Step " << step_number << ", ||F|| = " << norm << std::endl;
if (converged)
p.out() << "Converged!!" << std::endl;
else
p.out() << "Failed!!" << std::endl;
}
// Tests
int status = 0; // Converged
if (verbose)
p.out() << "Total Number of Linear Iterations = "
<< total_linear_iterations << std::endl;
if (Comm.NumProc() == 1 && total_linear_iterations != 157)
status = 1;
if (!converged)
status = 2;
success = converged && status == 0;
// Summarize test results
if (success)
p.out() << "Test passed!" << std::endl;
else
p.out() << "Test failed!" << std::endl;
if (verbose)
p.out() << "Status = " << status << std::endl;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(verbose, std::cerr, success);
#ifdef HAVE_MPI
MPI_Finalize();
#endif
return ( success ? EXIT_SUCCESS : EXIT_FAILURE );
}
示例2: main
//.........这里部分代码省略.........
Utilities::PauseForDebugger();
}
matrixParameters.check();
xpetraParameters.check();
Xpetra::UnderlyingLib lib = xpetraParameters.GetLib();
if (comm->getRank() == 0) {
std::cout << xpetraParameters << matrixParameters;
}
/**********************************************************************************/
/* CREATE INITIAL MATRIX */
/**********************************************************************************/
Teuchos::RCP<const Map> map;
Teuchos::RCP<Matrix> A;
{
Teuchos::TimeMonitor tm(*Teuchos::TimeMonitor::getNewTimer("Timings: Matrix Build"));
map = MapFactory::Build(lib, matrixParameters.GetNumGlobalElements(), 0, comm);
Teuchos::RCP<Galeri::Xpetra::Problem<Map,CrsMatrixWrap,MultiVector> > Pr =
Galeri::Xpetra::BuildProblem<SC,LO,GO,Map,CrsMatrixWrap,MultiVector>(matrixParameters.GetMatrixType(), map, matrixParameters.GetParameterList()); //TODO: Matrix vs. CrsMatrixWrap
A = Pr->BuildMatrix();
}
/**********************************************************************************/
/* */
/**********************************************************************************/
Teuchos::ParameterList paramList;
Teuchos::updateParametersFromXmlFileAndBroadcast(xmlFile, Teuchos::Ptr<Teuchos::ParameterList>(¶mList), *comm);
// create parameter list interpreter
Teuchos::RCP<HierarchyManager> mueluFactory = Teuchos::rcp(new ParameterListInterpreter(paramList));
Teuchos::RCP<Hierarchy> H = mueluFactory->CreateHierarchy();
H->GetLevel(0)->Set< Teuchos::RCP<Matrix> >("A", A);
Teuchos::RCP<MultiVector> nullspace = MultiVectorFactory::Build(A->getRowMap(), 1);
nullspace->putScalar(1.0);
H->GetLevel(0)->Set("Nullspace", nullspace);
// set minimal information about number of layers for semicoarsening...
// This information can also be provided as a user parameter in the xml file using the
// parameter: "semicoarsen: num layers"
H->GetLevel(0)->Set("NumZLayers",matrixParameters.GetParameterList().get<GO>("nz"));
mueluFactory->SetupHierarchy(*H);
for (int l=0; l<H->GetNumLevels(); l++) {
Teuchos::RCP<MueLu::Level> level = H->GetLevel(l);
if(level->IsAvailable("A", MueLu::NoFactory::get()) == false) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
if(level->IsAvailable("P", MueLu::NoFactory::get()) == false && l>0) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
if(level->IsAvailable("R", MueLu::NoFactory::get()) == false && l>0) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
if(level->IsAvailable("PreSmoother", MueLu::NoFactory::get()) == false) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
if(level->IsAvailable("PostSmoother", MueLu::NoFactory::get()) == false && l<H->GetNumLevels()-1) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
if(level->IsAvailable("NumZLayers", MueLu::NoFactory::get()) == true && l>0) { success = false; H->GetLevel(l)->print(std::cout, MueLu::Debug);}
H->GetLevel(l)->print(std::cout, MueLu::Debug);
}
///////////////////////////////////////////////////////////
// =========================================================================
// System solution (Ax = b)
// =========================================================================
comm->barrier();
typedef Teuchos::ScalarTraits<SC> STS;
SC zero = STS::zero(), one = STS::one();
Teuchos::RCP<Vector> X = VectorFactory::Build(A->getRowMap());
Teuchos::RCP<Vector> B = VectorFactory::Build(A->getRowMap());
{
// we set seed for reproducibility
Utilities::SetRandomSeed(*comm);
X->randomize();
A->apply(*X, *B, Teuchos::NO_TRANS, one, zero);
Teuchos::Array<STS::magnitudeType> norms(1);
B->norm2(norms);
B->scale(one/norms[0]);
X->putScalar(zero);
}
comm->barrier();
H->IsPreconditioner(false);
H->Iterate(*B, *X, 20);
// Timer final summaries
globalTimeMonitor = Teuchos::null; // stop this timer before summary
if (printTimings)
Teuchos::TimeMonitor::summarize();
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(verbose, std::cerr, success);
return ( success ? EXIT_SUCCESS : EXIT_FAILURE );
}