本文整理汇总了C++中VectorPtr::ptr方法的典型用法代码示例。如果您正苦于以下问题：C++ VectorPtr::ptr方法的具体用法？C++ VectorPtr::ptr怎么用？C++ VectorPtr::ptr使用的例子？那么恭喜您, 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VectorPtr的用法示例。
在下文中一共展示了VectorPtr::ptr方法的1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.........
const LinearOpPtr A = readEpetraCrsMatrixFromMatrixMarketAsLinearOp(
matrixFile, comm, "A");
*out << "\nA = " << describe(*A,verbLevel) << "\n";
const RCP<ParameterList> paramList = getParametersFromXmlFile(paramListFile);
if (showParams) {
*out << "\nRead in parameter list:\n\n";
paramList->print(*out, PLPrintOptions().indent(2).showTypes(true));
}
//
*out << "\nB) Get the preconditioner as a forward solver\n";
//
const RCP<ParameterList> precParamList = sublist(paramList, "Preconditioner Solver");
Stratimikos::DefaultLinearSolverBuilder precSolverBuilder;
precSolverBuilder.setParameterList(precParamList);
const RCP<const Thyra::LinearOpWithSolveFactoryBase<double> > precSolverStrategy
= createLinearSolveStrategy(precSolverBuilder);
//precSolverStrategy->setVerbLevel(verbLevel);
const LinearOpPtr A_inv_prec = inverse<double>(*precSolverStrategy, A,
Thyra::SUPPORT_SOLVE_FORWARD_ONLY,
Teuchos::null, // Use internal solve criteria
Thyra::IGNORE_SOLVE_FAILURE // Ignore solve failures since this is just a prec
);
*out << "\nA_inv_prec = " << describe(*A_inv_prec, verbLevel) << "\n";
if (testPrecIsLinearOp) {
*out << "\nTest that the preconditioner A_inv_prec is indeed a linear operator.\n";
Thyra::LinearOpTester<double> linearOpTester;
linearOpTester.check_adjoint(false);
const bool linearOpCheck = linearOpTester.check(*A_inv_prec, out.ptr());
if (!linearOpCheck) {
success = false;
}
}
//
*out << "\nC) Create the forward solver using the created preconditioner ...\n";
//
const RCP<ParameterList> fwdSolverParamList = sublist(paramList, "Forward Solver");
Stratimikos::DefaultLinearSolverBuilder fwdSolverSolverBuilder;
fwdSolverSolverBuilder.setParameterList(fwdSolverParamList);
const RCP<const Thyra::LinearOpWithSolveFactoryBase<double> > fwdSolverSolverStrategy
= createLinearSolveStrategy(fwdSolverSolverBuilder);
const RCP<Thyra::LinearOpWithSolveBase<double> >
A_lows = fwdSolverSolverStrategy->createOp();
initializePreconditionedOp<double>( *fwdSolverSolverStrategy, A,
unspecifiedPrec(A_inv_prec), A_lows.ptr());
//A_lows->setVerbLevel(verbLevel);
*out << "\nA_lows = " << describe(*A_lows, verbLevel) << "\n";
//
*out << "\nD) Solve the linear system for a random RHS ...\n";
//
VectorPtr x = createMember(A->domain());
VectorPtr b = createMember(A->range());
Thyra::randomize(-1.0, +1.0, b.ptr());
Thyra::assign(x.ptr(), 0.0); // Must give an initial guess!