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);
}
void ExplicitModelEvaluator<Scalar>::
buildInverseMassMatrix() const
{
typedef Thyra::ModelEvaluatorBase MEB;
using Teuchos::RCP;
using Thyra::createMember;
RCP<const Thyra::ModelEvaluator<Scalar> > me = this->getUnderlyingModel();
// first allocate space for the mass matrix
RCP<Thyra::LinearOpBase<Scalar> > mass = me->create_W_op();
// intialize a zero to get rid of the x-dot
if(zero_==Teuchos::null) {
zero_ = Thyra::createMember(*me->get_x_space());
Thyra::assign(zero_.ptr(),0.0);
}
// request only the mass matrix from the physics
// Model evaluator builds: alpha*u_dot + beta*F(u) = 0
MEB::InArgs<Scalar> inArgs = me->createInArgs();
inArgs.set_x(createMember(me->get_x_space()));
inArgs.set_x_dot(zero_);
inArgs.set_alpha(-1.0);
inArgs.set_beta(0.0);
// set the one time beta to ensure dirichlet conditions
// are correctly included in the mass matrix: do it for
// both epetra and Tpetra. If a panzer model evaluator has
// not been passed in...oh well you get what you asked for!
if(panzerModel_!=Teuchos::null)
panzerModel_->setOneTimeDirichletBeta(-1.0);
else if(panzerEpetraModel_!=Teuchos::null)
panzerEpetraModel_->setOneTimeDirichletBeta(-1.0);
// set only the mass matrix
MEB::OutArgs<Scalar> outArgs = me->createOutArgs();
outArgs.set_W_op(mass);
// this will fill the mass matrix operator
me->evalModel(inArgs,outArgs);
if(!massLumping_) {
invMassMatrix_ = Thyra::inverse<Scalar>(*me->get_W_factory(),mass);
}
else {
// build lumped mass matrix (assumes all positive mass entries, does a simple sum)
Teuchos::RCP<Thyra::VectorBase<Scalar> > ones = Thyra::createMember(*mass->domain());
Thyra::assign(ones.ptr(),1.0);
RCP<Thyra::VectorBase<Scalar> > invLumpMass = Thyra::createMember(*mass->range());
Thyra::apply(*mass,Thyra::NOTRANS,*ones,invLumpMass.ptr());
Thyra::reciprocal(*invLumpMass,invLumpMass.ptr());
invMassMatrix_ = Thyra::diagonal(invLumpMass);
}
}
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);
}
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);
}
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();
}
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();
*/
}
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(
wrappedOutArgs.supports(MEB::OUT_ARG_DfDp,l).none()==false
&& wrappedOutArgs.get_DfDp(l).isEmpty()==false
)
{
//
// Compute: D(l) = -inv(DfDx)*DfDp(l)
//
TEST_FOR_EXCEPT(true);
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
)
{
//
// Compute: DgDp(j,l) = DgDp(j,l) + DgDx(j)*D
//
TEST_FOR_EXCEPT(true);
}
}
}
}
// ToDo: Add a mode to compute DgDp(l) using adjoint sensitivities?
}
else {
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nFailed to converge, returning NaNs ...\n";
outArgs.setFailed();
}
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_EXTREME))
*out
<< "\noutArgs on output =\n" << Teuchos::describe(outArgs,verbLevel);
totalTimer.stop();
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out
<< "\nTotal evaluation time = "<<totalTimer.totalElapsedTime()<<" sec\n"
<< "\nLeaving Thyra::DefaultStateEliminationModelEvaluator<Scalar>::evalModel(...) ...\n";
}
TEUCHOS_UNIT_TEST( Rythmos_ForwardSensitivityExplicitModelEvaluator, evalModel ) {
typedef Thyra::ModelEvaluatorBase MEB;
RCP<ForwardSensitivityExplicitModelEvaluator<double> > model =
forwardSensitivityExplicitModelEvaluator<double>();
RCP<SinCosModel> innerModel = sinCosModel(false);
double a = 0.4;
double f = 1.5;
double L = 1.6;
{
RCP<ParameterList> pl = Teuchos::parameterList();
pl->set("Accept model parameters",true);
pl->set("Implicit model formulation",false);
pl->set("Coeff a", a );
pl->set("Coeff f", f );
pl->set("Coeff L", L );
innerModel->setParameterList(pl);
}
model->initializeStructure(innerModel, 0 );
RCP<VectorBase<double> > x;
MEB::InArgs<double> pointInArgs; // Used to change the solution for re-evaluation
RCP<StepperBase<double> > stepper; // Used for initializePointState
{
pointInArgs = innerModel->createInArgs();
pointInArgs.set_t(0.1);
x = Thyra::createMember(innerModel->get_x_space());
{
Thyra::DetachedVectorView<double> x_view( *x );
x_view[0] = 2.0;
x_view[1] = 3.0;
}
pointInArgs.set_x(x);
RCP<VectorBase<double> > p0 = Thyra::createMember(innerModel->get_p_space(0));
{
Thyra::DetachedVectorView<double> p0_view( *p0 );
p0_view[0] = a;
p0_view[1] = f;
p0_view[2] = L;
}
pointInArgs.set_p(0,p0);
{
// Create a stepper with these initial conditions to use to call
// initializePointState on this ME:
stepper = forwardEulerStepper<double>();
stepper->setInitialCondition(pointInArgs);
model->initializePointState(Teuchos::inOutArg(*stepper),false);
}
}
MEB::InArgs<double> inArgs = model->createInArgs();
RCP<VectorBase<double> > x_bar = Thyra::createMember(model->get_x_space());
RCP<Thyra::DefaultMultiVectorProductVector<double> >
s_bar = Teuchos::rcp_dynamic_cast<Thyra::DefaultMultiVectorProductVector<double> >(
x_bar, true
);
RCP<Thyra::MultiVectorBase<double> >
S = s_bar->getNonconstMultiVector();
// Fill S with data
{
TEST_EQUALITY_CONST( S->domain()->dim(), 3 );
TEST_EQUALITY_CONST( S->range()->dim(), 2 );
RCP<VectorBase<double> > S0 = S->col(0);
RCP<VectorBase<double> > S1 = S->col(1);
RCP<VectorBase<double> > S2 = S->col(2);
TEST_EQUALITY_CONST( S0->space()->dim(), 2 );
TEST_EQUALITY_CONST( S1->space()->dim(), 2 );
TEST_EQUALITY_CONST( S2->space()->dim(), 2 );
Thyra::DetachedVectorView<double> S0_view( *S0 );
S0_view[0] = 7.0;
S0_view[1] = 8.0;
Thyra::DetachedVectorView<double> S1_view( *S1 );
S1_view[0] = 9.0;
S1_view[1] = 10.0;
Thyra::DetachedVectorView<double> S2_view( *S2 );
S2_view[0] = 11.0;
S2_view[1] = 12.0;
}
inArgs.set_x(x_bar);
MEB::OutArgs<double> outArgs = model->createOutArgs();
RCP<VectorBase<double> > f_bar = Thyra::createMember(model->get_f_space());
RCP<Thyra::DefaultMultiVectorProductVector<double> >
f_sens = Teuchos::rcp_dynamic_cast<Thyra::DefaultMultiVectorProductVector<double> >(
f_bar, true
);
RCP<Thyra::MultiVectorBase<double> >
F_sens = f_sens->getNonconstMultiVector().assert_not_null();
V_S(Teuchos::outArg(*f_bar),0.0);
outArgs.set_f(f_bar);
inArgs.set_t(0.1);
model->evalModel(inArgs,outArgs);
// Verify F_sens = df/dx*S = df/dp
// df/dx = [ 0 1 ]
// [ -(f/L)*(f/L) 0 ]
// S = [ 7 9 11 ] x = [ 2 ]
// [ 8 10 12 ] [ 3 ]
// df/dp = [ 0 0 0 ]
// [ (f/L)*(f/L) 2*f/(L*L)*(a-x_0) -2*f*f/(L*L*L)*(a-x_0) ]
// F_sens_0 =
// [ 8 ]
// [ -7*(f/L)*(f/L)+(f*f)/(L*L) ]
// F_sens_1 =
// [ 10 ]
// [ -9*(f/L)*(f/L)+2*f/(L*L)*(a-x_0) ]
// F_sens_2 =
// [ 12 ]
// [ -11*(f/L)*(f/L)-2*f*f/(L*L*L)*(a-x_0) ]
//
double tol = 1.0e-10;
{
TEST_EQUALITY_CONST( F_sens->domain()->dim(), 3 );
TEST_EQUALITY_CONST( F_sens->range()->dim(), 2 );
RCP<VectorBase<double> > F_sens_0 = F_sens->col(0);
RCP<VectorBase<double> > F_sens_1 = F_sens->col(1);
RCP<VectorBase<double> > F_sens_2 = F_sens->col(2);
TEST_EQUALITY_CONST( F_sens_0->space()->dim(), 2 );
TEST_EQUALITY_CONST( F_sens_1->space()->dim(), 2 );
TEST_EQUALITY_CONST( F_sens_2->space()->dim(), 2 );
Thyra::DetachedVectorView<double> F_sens_0_view( *F_sens_0 );
TEST_FLOATING_EQUALITY( F_sens_0_view[0], 8.0, tol );
TEST_FLOATING_EQUALITY( F_sens_0_view[1], -7.0*(f/L)*(f/L)+(f*f)/(L*L), tol );
Thyra::DetachedVectorView<double> F_sens_1_view( *F_sens_1 );
TEST_FLOATING_EQUALITY( F_sens_1_view[0], 10.0, tol );
TEST_FLOATING_EQUALITY( F_sens_1_view[1], -9*(f/L)*(f/L)+2*f/(L*L)*(a-2.0), tol );
Thyra::DetachedVectorView<double> F_sens_2_view( *F_sens_2 );
TEST_FLOATING_EQUALITY( F_sens_2_view[0], 12.0, tol );
TEST_FLOATING_EQUALITY( F_sens_2_view[1], -11*(f/L)*(f/L)-2*f*f/(L*L*L)*(a-2.0), tol );
}
// Now change x and evaluate again.
{
Thyra::DetachedVectorView<double> x_view( *x );
x_view[0] = 20.0;
x_view[1] = 21.0;
}
// We need to call initializePointState again due to the vector
// being cloned inside.
stepper->setInitialCondition(pointInArgs);
model->initializePointState(Teuchos::inOutArg(*stepper),false);
model->evalModel(inArgs,outArgs);
{
TEST_EQUALITY_CONST( F_sens->domain()->dim(), 3 );
TEST_EQUALITY_CONST( F_sens->range()->dim(), 2 );
RCP<VectorBase<double> > F_sens_0 = F_sens->col(0);
RCP<VectorBase<double> > F_sens_1 = F_sens->col(1);
RCP<VectorBase<double> > F_sens_2 = F_sens->col(2);
TEST_EQUALITY_CONST( F_sens_0->space()->dim(), 2 );
TEST_EQUALITY_CONST( F_sens_1->space()->dim(), 2 );
TEST_EQUALITY_CONST( F_sens_2->space()->dim(), 2 );
Thyra::DetachedVectorView<double> F_sens_0_view( *F_sens_0 );
TEST_FLOATING_EQUALITY( F_sens_0_view[0], 8.0, tol );
TEST_FLOATING_EQUALITY( F_sens_0_view[1], -7.0*(f/L)*(f/L)+(f*f)/(L*L), tol );
Thyra::DetachedVectorView<double> F_sens_1_view( *F_sens_1 );
TEST_FLOATING_EQUALITY( F_sens_1_view[0], 10.0, tol );
TEST_FLOATING_EQUALITY( F_sens_1_view[1], -9*(f/L)*(f/L)+2*f/(L*L)*(a-20.0), tol );
Thyra::DetachedVectorView<double> F_sens_2_view( *F_sens_2 );
TEST_FLOATING_EQUALITY( F_sens_2_view[0], 12.0, tol );
TEST_FLOATING_EQUALITY( F_sens_2_view[1], -11*(f/L)*(f/L)-2*f*f/(L*L*L)*(a-20.0), tol );
}
}
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();
}
