本文整理汇总了C++中thyra::modelevaluatorbase::InArgs::get_x_dot_dot方法的典型用法代码示例。如果您正苦于以下问题：C++ InArgs::get_x_dot_dot方法的具体用法？C++ InArgs::get_x_dot_dot怎么用？C++ InArgs::get_x_dot_dot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thyra::modelevaluatorbase::InArgs的用法示例。
在下文中一共展示了InArgs::get_x_dot_dot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: Timer
// hide the original parental method AMET->evalModelImpl():
void
Aeras::HVDecorator::evalModelImpl(
const Thyra::ModelEvaluatorBase::InArgs<ST>& inArgsT,
const Thyra::ModelEvaluatorBase::OutArgs<ST>& outArgsT) const
{
#ifdef OUTPUT_TO_SCREEN
std::cout << "DEBUG WHICH HVDecorator: " << __PRETTY_FUNCTION__ << "\n";
#endif
Teuchos::TimeMonitor Timer(*timer); //start timer
//
// Get the input arguments
//
// Thyra vectors
const Teuchos::RCP<const Thyra_Vector> x = inArgsT.get_x();
const Teuchos::RCP<const Thyra_Vector> x_dot =
(supports_xdot ? inArgsT.get_x_dot() : Teuchos::null);
const Teuchos::RCP<const Thyra_Vector> x_dotdot =
(supports_xdotdot ? inArgsT.get_x_dot_dot() : Teuchos::null);
const double alpha = (Teuchos::nonnull(x_dot) || Teuchos::nonnull(x_dotdot)) ? inArgsT.get_alpha() : 0.0;
// AGS: x_dotdot time integrators not imlemented in Thyra ME yet
// const double omega = (Teuchos::nonnull(x_dot) || Teuchos::nonnull(x_dotdot)) ? inArgsT.get_omega() : 0.0;
const double omega = 0.0;
const double beta = (Teuchos::nonnull(x_dot) || Teuchos::nonnull(x_dotdot)) ? inArgsT.get_beta() : 1.0;
const double curr_time = (Teuchos::nonnull(x_dot) || Teuchos::nonnull(x_dotdot)) ? inArgsT.get_t() : 0.0;
for (int l = 0; l < inArgsT.Np(); ++l) {
const Teuchos::RCP<const Thyra_Vector> p = inArgsT.get_p(l);
if (Teuchos::nonnull(p)) {
const Teuchos::RCP<const Tpetra_Vector> pT = Albany::getConstTpetraVector(p);
const Teuchos::ArrayRCP<const ST> pT_constView = pT->get1dView();
ParamVec &sacado_param_vector = sacado_param_vec[l];
for (unsigned int k = 0; k < sacado_param_vector.size(); ++k) {
sacado_param_vector[k].baseValue = pT_constView[k];
}
}
}
//
// Get the output arguments
//
auto f = outArgsT.get_f();
auto W_op = outArgsT.get_W_op();
//
// Compute the functions
//
bool f_already_computed = false;
// W matrix
if (Teuchos::nonnull(W_op)) {
app->computeGlobalJacobian(
alpha, beta, omega, curr_time, x, x_dot, x_dotdot,
sacado_param_vec, f, W_op);
f_already_computed = true;
}
// df/dp
for (int l = 0; l < outArgsT.Np(); ++l) {
const Teuchos::RCP<Thyra_MultiVector> df_dp = outArgsT.get_DfDp(l).getMultiVector();
if (Teuchos::nonnull(df_dp)) {
const Teuchos::RCP<ParamVec> p_vec = Teuchos::rcpFromRef(sacado_param_vec[l]);
app->computeGlobalTangent(
0.0, 0.0, 0.0, curr_time, false, x, x_dot, x_dotdot,
sacado_param_vec, p_vec.get(),
Teuchos::null, Teuchos::null, Teuchos::null, Teuchos::null,
f, Teuchos::null, df_dp);
f_already_computed = true;
}
}
// f
if (app->is_adjoint) {
const Thyra_Derivative f_deriv(f, Thyra::ModelEvaluatorBase::DERIV_TRANS_MV_BY_ROW);
const Thyra_Derivative dummy_deriv;
const int response_index = 0; // need to add capability for sending this in
app->evaluateResponseDerivative(
response_index, curr_time, x, x_dot, x_dotdot,
sacado_param_vec, NULL,
Teuchos::null, f_deriv, dummy_deriv, dummy_deriv, dummy_deriv);
} else {
if (Teuchos::nonnull(f) && !f_already_computed) {
app->computeGlobalResidual(
curr_time, x, x_dot, x_dotdot,
sacado_param_vec, f);
}
}
//compute xtilde
applyLinvML(x, xtilde);
#ifdef WRITE_TO_MATRIX_MARKET_TO_MM_FILE
//.........这里部分代码省略.........