本文整理汇总了C++中meb::InArgs::setArgs方法的典型用法代码示例。如果您正苦于以下问题:C++ InArgs::setArgs方法的具体用法?C++ InArgs::setArgs怎么用?C++ InArgs::setArgs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meb::InArgs
的用法示例。
在下文中一共展示了InArgs::setArgs方法的10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: eval_model_explicit
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);
}
示例2: createInArgs
Thyra::ModelEvaluatorBase::InArgs<Scalar> ExplicitModelEvaluator<Scalar>::
getNominalValues() const
{
typedef Thyra::ModelEvaluatorBase MEB;
MEB::InArgs<Scalar> nomVals = createInArgs();
nomVals.setArgs(this->getUnderlyingModel()->getNominalValues(),true);
return nomVals;
}
示例3: eval_model_explicit
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);
}
示例4: restart
void restart( StepperBase<Scalar> *stepper )
{
#ifdef RYTHMOS_DEBUG
TEST_FOR_EXCEPT(0==stepper);
#endif // RYTHMOS_DEBUG
typedef Thyra::ModelEvaluatorBase MEB;
const Rythmos::StepStatus<double>
stepStatus = stepper->getStepStatus();
const RCP<const Thyra::ModelEvaluator<Scalar> >
model = stepper->getModel();
// First, copy all of the model's state, including parameter values etc.
MEB::InArgs<double> initialCondition = model->createInArgs();
initialCondition.setArgs(model->getNominalValues());
// Set the current values of the state and time
RCP<const Thyra::VectorBase<double> > x, x_dot;
Rythmos::get_x_and_x_dot(*stepper,stepStatus.time,&x,&x_dot);
initialCondition.set_x(x);
initialCondition.set_x_dot(x_dot);
initialCondition.set_t(stepStatus.time);
// Set the new initial condition back on the stepper. This will effectively
// reset the stepper to think that it is starting over again (which it is).
stepper->setInitialCondition(initialCondition);
}
示例5: createMember
void DiagonalImplicitRKModelEvaluator<Scalar>::evalModelImpl(
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_stage,
const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_stage
) const
{
typedef ScalarTraits<Scalar> ST;
typedef Thyra::ModelEvaluatorBase MEB;
TEUCHOS_TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
"Error! initializeDIRKModel must be called before evalModel\n"
);
TEUCHOS_TEST_FOR_EXCEPTION( !setTimeStepPointCalled_, std::logic_error,
"Error! setTimeStepPoint must be called before evalModel"
);
TEUCHOS_TEST_FOR_EXCEPTION( currentStage_ == -1, std::logic_error,
"Error! setCurrentStage must be called before evalModel"
);
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
"Rythmos::DiagonalImplicitRKModelEvaluator",inArgs_stage,outArgs_stage,daeModel_
);
//
// A) Unwrap the inArgs and outArgs
//
const RCP<const Thyra::VectorBase<Scalar> > x_in = inArgs_stage.get_x();
const RCP<Thyra::VectorBase<Scalar> > f_out = outArgs_stage.get_f();
const RCP<Thyra::LinearOpBase<Scalar> > W_op_out = outArgs_stage.get_W_op();
//
// B) Assemble f_out and W_op_out for given stage
//
MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
const RCP<Thyra::VectorBase<Scalar> > x_i = createMember(daeModel_->get_x_space());
daeInArgs.setArgs(basePoint_);
// B.1) Setup the DAE's inArgs for stage f(currentStage_) ...
V_V(stage_derivatives_->getNonconstVectorBlock(currentStage_).ptr(),*x_in);
assembleIRKState( currentStage_, dirkButcherTableau_->A(), delta_t_, *x_old_, *stage_derivatives_, outArg(*x_i) );
daeInArgs.set_x( x_i );
daeInArgs.set_x_dot( x_in );
daeInArgs.set_t( t_old_ + dirkButcherTableau_->c()(currentStage_) * delta_t_ );
daeInArgs.set_alpha(ST::one());
daeInArgs.set_beta( delta_t_ * dirkButcherTableau_->A()(currentStage_,currentStage_) );
// B.2) Setup the DAE's outArgs for stage f(i) ...
if (!is_null(f_out))
daeOutArgs.set_f( f_out );
if (!is_null(W_op_out))
daeOutArgs.set_W_op(W_op_out);
// B.3) Compute f_out(i) and/or W_op_out ...
daeModel_->evalModel( daeInArgs, daeOutArgs );
daeOutArgs.set_f(Teuchos::null);
daeOutArgs.set_W_op(Teuchos::null);
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
}
示例6: timer
void DefaultModelEvaluatorWithSolveFactory<Scalar>::evalModelImpl(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
typedef ModelEvaluatorBase MEB;
using Teuchos::rcp;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::OSTab;
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_BEGIN(
"Thyra::DefaultModelEvaluatorWithSolveFactory",inArgs,outArgs
);
Teuchos::Time timer("");
typedef Teuchos::VerboseObjectTempState<LinearOpWithSolveFactoryBase<Scalar> >
VOTSLOWSF;
VOTSLOWSF W_factory_outputTempState(W_factory_,out,verbLevel);
// InArgs
MEB::InArgs<Scalar> wrappedInArgs = thyraModel->createInArgs();
wrappedInArgs.setArgs(inArgs,true);
// OutArgs
MEB::OutArgs<Scalar> wrappedOutArgs = thyraModel->createOutArgs();
wrappedOutArgs.setArgs(outArgs,true);
RCP<LinearOpWithSolveBase<Scalar> > W;
RCP<const LinearOpBase<Scalar> > fwdW;
if( outArgs.supports(MEB::OUT_ARG_W) && (W = outArgs.get_W()).get() ) {
Thyra::uninitializeOp<Scalar>(*W_factory_, W.ptr(), outArg(fwdW));
{
// Handle this case later if we need to!
const bool both_W_and_W_op_requested = nonnull(outArgs.get_W_op());
TEUCHOS_TEST_FOR_EXCEPT(both_W_and_W_op_requested);
}
RCP<LinearOpBase<Scalar> > nonconst_fwdW;
if(fwdW.get()) {
nonconst_fwdW = rcp_const_cast<LinearOpBase<Scalar> >(fwdW);
}
else {
nonconst_fwdW = thyraModel->create_W_op();
fwdW = nonconst_fwdW;
}
wrappedOutArgs.set_W_op(nonconst_fwdW);
}
// Do the evaluation
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
*out << "\nEvaluating the output functions on model \'"
<< thyraModel->description() << "\' ...\n";
timer.start(true);
thyraModel->evalModel(wrappedInArgs,wrappedOutArgs);
timer.stop();
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
OSTab(out).o() << "\nTime to evaluate underlying model = "
<< timer.totalElapsedTime()<<" sec\n";
// Postprocess arguments
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
*out << "\nPost processing the output objects ...\n";
timer.start(true);
if( W.get() ) {
Thyra::initializeOp<Scalar>(*W_factory_, fwdW, W.ptr());
W->setVerbLevel(this->getVerbLevel());
W->setOStream(this->getOStream());
}
timer.stop();
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
OSTab(out).o() << "\nTime to process output objects = "
<< timer.totalElapsedTime()<<" sec\n";
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
}
示例7: createMember
void TimeDiscretizedBackwardEulerModelEvaluator<Scalar>::evalModelImpl(
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_bar,
const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_bar
) const
{
using Teuchos::rcp_dynamic_cast;
typedef ScalarTraits<Scalar> ST;
typedef Thyra::ModelEvaluatorBase MEB;
typedef Thyra::VectorBase<Scalar> VB;
typedef Thyra::ProductVectorBase<Scalar> PVB;
typedef Thyra::BlockedLinearOpBase<Scalar> BLWB;
/*
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
"Rythmos::ImplicitRKModelEvaluator",inArgs_bar,outArgs_bar,daeModel_
);
*/
TEST_FOR_EXCEPTION( delta_t_ <= 0.0, std::logic_error,
"Error, you have not initialized this object correctly!" );
//
// A) Unwrap the inArgs and outArgs to get at product vectors and block op
//
const RCP<const PVB> x_bar = rcp_dynamic_cast<const PVB>(inArgs_bar.get_x(), true);
const RCP<PVB> f_bar = rcp_dynamic_cast<PVB>(outArgs_bar.get_f(), true);
RCP<BLWB> W_op_bar = rcp_dynamic_cast<BLWB>(outArgs_bar.get_W_op(), true);
//
// B) Assemble f_bar and W_op_bar by looping over stages
//
MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
const RCP<VB> x_dot_i = createMember(daeModel_->get_x_space());
daeInArgs.setArgs(initCond_);
Scalar t_i = initTime_; // ToDo: Define t_init!
const Scalar oneOverDeltaT = 1.0/delta_t_;
for ( int i = 0; i < numTimeSteps_; ++i ) {
// B.1) Setup the DAE's inArgs for time step eqn f(i) ...
const RCP<const Thyra::VectorBase<Scalar> >
x_i = x_bar->getVectorBlock(i),
x_im1 = ( i==0 ? initCond_.get_x() : x_bar->getVectorBlock(i-1) );
V_VmV( x_dot_i.ptr(), *x_i, *x_im1 ); // x_dot_i = 1/dt * ( x[i] - x[i-1] )
Vt_S( x_dot_i.ptr(), oneOverDeltaT ); // ...
daeInArgs.set_x_dot( x_dot_i );
daeInArgs.set_x( x_i );
daeInArgs.set_t( t_i );
daeInArgs.set_alpha( oneOverDeltaT );
daeInArgs.set_beta( 1.0 );
// B.2) Setup the DAE's outArgs for f(i) and/or W(i,i) ...
if (!is_null(f_bar))
daeOutArgs.set_f( f_bar->getNonconstVectorBlock(i) );
if (!is_null(W_op_bar))
daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,i).assert_not_null());
// B.3) Compute f_bar(i) and/or W_op_bar(i,i) ...
daeModel_->evalModel( daeInArgs, daeOutArgs );
daeOutArgs.set_f(Teuchos::null);
daeOutArgs.set_W_op(Teuchos::null);
// B.4) Evaluate W_op_bar(i,i-1)
if ( !is_null(W_op_bar) && i > 0 ) {
daeInArgs.set_alpha( -oneOverDeltaT );
daeInArgs.set_beta( 0.0 );
daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,i-1).assert_not_null());
daeModel_->evalModel( daeInArgs, daeOutArgs );
daeOutArgs.set_W_op(Teuchos::null);
}
//
t_i += delta_t_;
}
/*
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
*/
}
示例8: totalTimer
void DefaultStateEliminationModelEvaluator<Scalar>::evalModelImpl(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
typedef ModelEvaluatorBase MEB;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::OSTab;
Teuchos::Time totalTimer(""), timer("");
totalTimer.start(true);
const Teuchos::RCP<Teuchos::FancyOStream> out = this->getOStream();
const Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
Teuchos::OSTab tab(out);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nEntering Thyra::DefaultStateEliminationModelEvaluator<Scalar>::evalModel(...) ...\n";
const Teuchos::RCP<const ModelEvaluator<Scalar> >
thyraModel = this->getUnderlyingModel();
const int Np = outArgs.Np(), Ng = outArgs.Ng();
// Get the intial state guess if not already gotten
if (is_null(x_guess_solu_)) {
const ModelEvaluatorBase::InArgs<Scalar>
nominalValues = thyraModel->getNominalValues();
if(nominalValues.get_x().get()) {
x_guess_solu_ = nominalValues.get_x()->clone_v();
}
else {
x_guess_solu_ = createMember(thyraModel->get_x_space());
assign(&*x_guess_solu_,Scalar(0.0));
}
}
// Reset the nominal values
MEB::InArgs<Scalar> wrappedNominalValues = thyraModel->getNominalValues();
wrappedNominalValues.setArgs(inArgs,true);
wrappedNominalValues.set_x(x_guess_solu_);
typedef Teuchos::VerboseObjectTempState<ModelEvaluatorBase> VOTSME;
//VOTSME thyraModel_outputTempState(rcp(&wrappedThyraModel,false),out,verbLevel);
typedef Teuchos::VerboseObjectTempState<NonlinearSolverBase<Scalar> > VOTSNSB;
VOTSNSB statSolver_outputTempState(
stateSolver_,out
,static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW) ? Teuchos::VERB_LOW : Teuchos::VERB_NONE
);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_EXTREME))
*out
<< "\ninArgs =\n" << Teuchos::describe(inArgs,verbLevel)
<< "\noutArgs on input =\n" << Teuchos::describe(outArgs,Teuchos::VERB_LOW);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nSolving f(x,...) for x ...\n";
wrappedThyraModel_->setNominalValues(
rcp(new MEB::InArgs<Scalar>(wrappedNominalValues))
);
SolveStatus<Scalar> solveStatus = stateSolver_->solve(&*x_guess_solu_,NULL);
if( solveStatus.solveStatus == SOLVE_STATUS_CONVERGED ) {
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nComputing the output functions at the solved state solution ...\n";
MEB::InArgs<Scalar> wrappedInArgs = thyraModel->createInArgs();
MEB::OutArgs<Scalar> wrappedOutArgs = thyraModel->createOutArgs();
wrappedInArgs.setArgs(inArgs,true);
wrappedInArgs.set_x(x_guess_solu_);
wrappedOutArgs.setArgs(outArgs,true);
for( int l = 0; l < Np; ++l ) {
for( int j = 0; j < Ng; ++j ) {
if(
outArgs.supports(MEB::OUT_ARG_DgDp,j,l).none()==false
&& outArgs.get_DgDp(j,l).isEmpty()==false
)
{
// Set DfDp(l) and DgDx(j) to be computed!
//wrappedOutArgs.set_DfDp(l,...);
//wrappedOutArgs.set_DgDx(j,...);
TEST_FOR_EXCEPT(true);
}
}
}
thyraModel->evalModel(wrappedInArgs,wrappedOutArgs);
//
// Compute DgDp(j,l) using direct sensitivties
//
for( int l = 0; l < Np; ++l ) {
if(
//.........这里部分代码省略.........
示例9: main
//.........这里部分代码省略.........
// linear system solve
Stratimikos::DefaultLinearSolverBuilder overallLinearSolverBuilder;
overallLinearSolverBuilder.setParameterList(sublist(paramList,OverallLinearSolver_name));
RCP<Thyra::LinearOpWithSolveFactoryBase<Scalar> >
overallLOWSF = createLinearSolveStrategy(overallLinearSolverBuilder);
//
// D) Create the underlying EpetraExt::ModelEvaluator
//
RCP<EpetraExt::DiagonalTransientModel> epetraDaeModel =
EpetraExt::diagonalTransientModel(
epetra_comm,
sublist(paramList,DiagonalTransientModel_name)
);
*out <<"\nepetraDaeModel valid options:\n";
epetraDaeModel->getValidParameters()->print(
*out, PLPrintOptions().indent(2).showTypes(true).showDoc(true)
);
//
// E) Create the Thyra-wrapped ModelEvaluator
//
RCP<Thyra::ModelEvaluator<double> > daeModel =
epetraModelEvaluator(epetraDaeModel,daeLOWSF);
//
// F) Create the TimeDiscretizedBackwardEulerModelEvaluator
//
MEB::InArgs<Scalar> initCond = daeModel->createInArgs();
initCond.setArgs(daeModel->getNominalValues());
RCP<Thyra::ModelEvaluator<Scalar> >
discretizedModel = Rythmos::timeDiscretizedBackwardEulerModelEvaluator<Scalar>(
daeModel, initCond, finalTime, numTimeSteps, overallLOWSF );
*out << "\ndiscretizedModel = " << describe(*discretizedModel,verbLevel);
//
// F) Setup a nonlinear solver and solve the system
//
// F.1) Setup a nonlinear solver
Thyra::DampenedNewtonNonlinearSolver<Scalar> nonlinearSolver;
nonlinearSolver.setOStream(out);
nonlinearSolver.setVerbLevel(verbLevel);
//nonlinearSolver.setParameterList(sublist(paramList,NonlinearSolver_name));
//2007/11/27: rabartl: ToDo: Implement parameter list handling for
//DampenedNonlinearSolve so that I can uncomment the above line.
nonlinearSolver.setModel(discretizedModel);
// F.2) Solve the system
RCP<Thyra::VectorBase<Scalar> >
x_bar = createMember(discretizedModel->get_x_space());
V_S( x_bar.ptr(), 0.0 );
Thyra::SolveStatus<Scalar> solveStatus =
Thyra::solve( nonlinearSolver, &*x_bar );
*out << "\nsolveStatus:\n" << solveStatus;
示例10: createMember
void ImplicitRKModelEvaluator<Scalar>::evalModelImpl(
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_bar,
const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_bar
) const
{
using Teuchos::rcp_dynamic_cast;
typedef ScalarTraits<Scalar> ST;
typedef Thyra::ModelEvaluatorBase MEB;
typedef Thyra::VectorBase<Scalar> VB;
typedef Thyra::ProductVectorBase<Scalar> PVB;
typedef Thyra::BlockedLinearOpBase<Scalar> BLWB;
TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
"Error! initializeIRKModel must be called before evalModel\n"
);
TEST_FOR_EXCEPTION( !setTimeStepPointCalled_, std::logic_error,
"Error! setTimeStepPoint must be called before evalModel"
);
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
"Rythmos::ImplicitRKModelEvaluator",inArgs_bar,outArgs_bar,daeModel_
);
//
// A) Unwrap the inArgs and outArgs to get at product vectors and block op
//
const RCP<const PVB> x_bar = rcp_dynamic_cast<const PVB>(inArgs_bar.get_x(), true);
const RCP<PVB> f_bar = rcp_dynamic_cast<PVB>(outArgs_bar.get_f(), true);
const RCP<BLWB> W_op_bar = rcp_dynamic_cast<BLWB>(outArgs_bar.get_W_op(), true);
//
// B) Assemble f_bar and W_op_bar by looping over stages
//
MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
const RCP<VB> x_i = createMember(daeModel_->get_x_space());
daeInArgs.setArgs(basePoint_);
const int numStages = irkButcherTableau_->numStages();
for ( int i = 0; i < numStages; ++i ) {
// B.1) Setup the DAE's inArgs for stage f(i) ...
assembleIRKState( i, irkButcherTableau_->A(), delta_t_, *x_old_, *x_bar, outArg(*x_i) );
daeInArgs.set_x( x_i );
daeInArgs.set_x_dot( x_bar->getVectorBlock(i) );
daeInArgs.set_t( t_old_ + irkButcherTableau_->c()(i) * delta_t_ );
Scalar alpha = ST::zero();
if (i == 0) {
alpha = ST::one();
} else {
alpha = ST::zero();
}
Scalar beta = delta_t_ * irkButcherTableau_->A()(i,0);
daeInArgs.set_alpha( alpha );
daeInArgs.set_beta( beta );
// B.2) Setup the DAE's outArgs for stage f(i) ...
if (!is_null(f_bar))
daeOutArgs.set_f( f_bar->getNonconstVectorBlock(i) );
if (!is_null(W_op_bar)) {
daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,0));
}
// B.3) Compute f_bar(i) and/or W_op_bar(i,0) ...
daeModel_->evalModel( daeInArgs, daeOutArgs );
daeOutArgs.set_f(Teuchos::null);
daeOutArgs.set_W_op(Teuchos::null);
// B.4) Evaluate the rest of the W_op_bar(i,j=1...numStages-1) ...
if (!is_null(W_op_bar)) {
for ( int j = 1; j < numStages; ++j ) {
alpha = ST::zero();
if (i == j) {
alpha = ST::one();
} else {
alpha = ST::zero();
}
beta = delta_t_ * irkButcherTableau_->A()(i,j);
daeInArgs.set_alpha( alpha );
daeInArgs.set_beta( beta );
daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,j));
daeModel_->evalModel( daeInArgs, daeOutArgs );
daeOutArgs.set_W_op(Teuchos::null);
}
}
}
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
}