void eval_model_explicit(
const Thyra::ModelEvaluator<Scalar> &model,
Thyra::ModelEvaluatorBase::InArgs<Scalar> &basePoint,
const VectorBase<Scalar>& x_in,
const typename Thyra::ModelEvaluatorBase::InArgs<Scalar>::ScalarMag &t_in,
const Ptr<VectorBase<Scalar> >& f_out
)
{
typedef Thyra::ModelEvaluatorBase MEB;
MEB::InArgs<Scalar> inArgs = model.createInArgs();
MEB::OutArgs<Scalar> outArgs = model.createOutArgs();
inArgs.setArgs(basePoint);
inArgs.set_x(Teuchos::rcp(&x_in,false));
if (inArgs.supports(MEB::IN_ARG_t)) {
inArgs.set_t(t_in);
}
// For model evaluators whose state function f(x, x_dot, t) describes
// an implicit ODE, and which accept an optional x_dot input argument,
// make sure the latter is set to null in order to request the evaluation
// of a state function corresponding to the explicit ODE formulation
// x_dot = f(x, t)
if (inArgs.supports(MEB::IN_ARG_x_dot)) {
inArgs.set_x_dot(Teuchos::null);
}
outArgs.set_f(Teuchos::rcp(&*f_out,false));
model.evalModel(inArgs,outArgs);
}
RCP<Thyra::VectorBase<Scalar> > eval_f_t(
const Thyra::ModelEvaluator<Scalar>& me,
Scalar t
) {
typedef Teuchos::ScalarTraits<Scalar> ST;
typedef Thyra::ModelEvaluatorBase MEB;
MEB::InArgs<Scalar> inArgs = me.createInArgs();
inArgs.set_t(t);
MEB::OutArgs<Scalar> outArgs = me.createOutArgs();
RCP<Thyra::VectorBase<Scalar> > f_out = Thyra::createMember(me.get_f_space());
V_S(outArg(*f_out),ST::zero());
outArgs.set_f(f_out);
me.evalModel(inArgs,outArgs);
return f_out;
}
void eval_model_explicit(
const Thyra::ModelEvaluator<Scalar> &model,
Thyra::ModelEvaluatorBase::InArgs<Scalar> &basePoint,
const VectorBase<Scalar>& x_in,
const typename Thyra::ModelEvaluatorBase::InArgs<Scalar>::ScalarMag &t_in,
const Ptr<VectorBase<Scalar> >& f_out
)
{
typedef Thyra::ModelEvaluatorBase MEB;
MEB::InArgs<Scalar> inArgs = model.createInArgs();
MEB::OutArgs<Scalar> outArgs = model.createOutArgs();
inArgs.setArgs(basePoint);
inArgs.set_x(Teuchos::rcp(&x_in,false));
if (inArgs.supports(MEB::IN_ARG_t)) {
inArgs.set_t(t_in);
}
outArgs.set_f(Teuchos::rcp(&*f_out,false));
model.evalModel(inArgs,outArgs);
}