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 ForwardSensitivityExplicitModelEvaluator<Scalar>::computeDerivativeMatrices(
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &point
) const
{
TEUCHOS_ASSERT( !is_null(stateModel_) );
typedef Thyra::ModelEvaluatorBase MEB;
typedef Teuchos::VerboseObjectTempState<MEB> VOTSME;
Teuchos::RCP<Teuchos::FancyOStream> out = this->getOStream();
Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
MEB::InArgs<Scalar> inArgs = stateBasePoint_;
MEB::OutArgs<Scalar> outArgs = stateModel_->createOutArgs();
if (is_null(DfDx_)) {
DfDx_ = stateModel_->create_W_op();
}
if (inArgs.supports(MEB::IN_ARG_beta)) {
inArgs.set_beta(1.0);
}
outArgs.set_W_op(DfDx_);
if (is_null(DfDp_)) {
DfDp_ = Thyra::create_DfDp_mv(
*stateModel_,p_index_,
MEB::DERIV_MV_BY_COL
).getMultiVector();
}
outArgs.set_DfDp(
p_index_,
MEB::Derivative<Scalar>(DfDp_,MEB::DERIV_MV_BY_COL)
);
VOTSME stateModel_outputTempState(stateModel_,out,verbLevel);
stateModel_->evalModel(inArgs,outArgs);
}
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 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();
}
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 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();
}
void ModelEvaluatorDefaultBase<Scalar>::evalModel(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
using Teuchos::outArg;
typedef ModelEvaluatorBase MEB;
lazyInitializeDefaultBase();
const int l_Np = outArgs.Np();
const int l_Ng = outArgs.Ng();
//
// A) Assert that the inArgs and outArgs object match this class!
//
#ifdef TEUCHOS_DEBUG
assertInArgsEvalObjects(*this,inArgs);
assertOutArgsEvalObjects(*this,outArgs,&inArgs);
#endif
//
// B) Setup the OutArgs object for the underlying implementation's
// evalModelImpl(...) function
//
MEB::OutArgs<Scalar> outArgsImpl = this->createOutArgsImpl();
Array<MultiVectorAdjointPair> DgDp_temp_adjoint_copies;
{
outArgsImpl.setArgs(outArgs,true);
// DfDp(l)
if (outArgsImpl.supports(MEB::OUT_ARG_f)) {
for ( int l = 0; l < l_Np; ++l ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DfDp_default_op_support_[l];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DfDp( l,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DfDp(l), defaultLinearOpSupport
)
);
}
else {
// DfDp(l) already set by outArgsImpl.setArgs(...)!
}
}
}
// DgDx_dot(j)
for ( int j = 0; j < l_Ng; ++j ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDx_dot_default_op_support_[j];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DgDx_dot( j,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DgDx_dot(j), defaultLinearOpSupport
)
);
}
else {
// DgDx_dot(j) already set by outArgsImpl.setArgs(...)!
}
}
// DgDx(j)
for ( int j = 0; j < l_Ng; ++j ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDx_default_op_support_[j];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DgDx( j,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DgDx(j), defaultLinearOpSupport
)
);
}
else {
// DgDx(j) already set by outArgsImpl.setArgs(...)!
}
}
// DgDp(j,l)
for ( int j = 0; j < l_Ng; ++j ) {
const Array<DefaultDerivLinearOpSupport> &DgDp_default_op_support_j =
DgDp_default_op_support_[j];
const Array<DefaultDerivMvAdjointSupport> &DgDp_default_mv_support_j =
DgDp_default_mv_support_[j];
for ( int l = 0; l < l_Np; ++l ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDp_default_op_support_j[l];
const DefaultDerivMvAdjointSupport defaultMvAdjointSupport =
DgDp_default_mv_support_j[l];
MEB::Derivative<Scalar> DgDp_j_l;
if (!outArgs.supports(MEB::OUT_ARG_DgDp,j,l).none())
DgDp_j_l = outArgs.get_DgDp(j,l);
if (
defaultLinearOpSupport.provideDefaultLinearOp()
&& !is_null(DgDp_j_l.getLinearOp())
)
{
outArgsImpl.set_DgDp( j, l,
getOutArgImplForDefaultLinearOpSupport(
DgDp_j_l, defaultLinearOpSupport
)
);
}
else if (
defaultMvAdjointSupport.provideDefaultAdjoint()
&& !is_null(DgDp_j_l.getMultiVector())
)
{
const RCP<MultiVectorBase<Scalar> > DgDp_j_l_mv =
DgDp_j_l.getMultiVector();
if (
defaultMvAdjointSupport.mvAdjointCopyOrientation()
==
DgDp_j_l.getMultiVectorOrientation()
)
{
// The orientation of the multi-vector is different so we need to
// create a temporary copy to pass to evalModelImpl(...) and then
// copy it back again!
const RCP<MultiVectorBase<Scalar> > DgDp_j_l_mv_adj =
createMembers(DgDp_j_l_mv->domain(), DgDp_j_l_mv->range()->dim());
outArgsImpl.set_DgDp( j, l,
MEB::Derivative<Scalar>(
DgDp_j_l_mv_adj,
getOtherDerivativeMultiVectorOrientation(
defaultMvAdjointSupport.mvAdjointCopyOrientation()
)
)
);
// Remember these multi-vectors so that we can do the transpose copy
// back after the evaluation!
DgDp_temp_adjoint_copies.push_back(
MultiVectorAdjointPair(DgDp_j_l_mv, DgDp_j_l_mv_adj)
);
}
else {
// The form of the multi-vector is supported by evalModelImpl(..)
// and is already set on the outArgsImpl object.
}
}
else {
// DgDp(j,l) already set by outArgsImpl.setArgs(...)!
}
}
}
// W
{
RCP<LinearOpWithSolveBase<Scalar> > W;
if ( default_W_support_ && !is_null(W=outArgs.get_W()) ) {
const RCP<const LinearOpWithSolveFactoryBase<Scalar> >
W_factory = this->get_W_factory();
// Extract the underlying W_op object (if it exists)
RCP<const LinearOpBase<Scalar> > W_op_const;
uninitializeOp<Scalar>(*W_factory, W.ptr(), outArg(W_op_const));
RCP<LinearOpBase<Scalar> > W_op;
if (!is_null(W_op_const)) {
// Here we remove the const. This is perfectly safe since
// w.r.t. this class, we put a non-const object in there and we can
// expect to change that object after the fact. That is our
// prerogative.
W_op = Teuchos::rcp_const_cast<LinearOpBase<Scalar> >(W_op_const);
}
else {
// The W_op object has not been initialized yet so create it. The
// next time through, we should not have to do this!
W_op = this->create_W_op();
}
outArgsImpl.set_W_op(W_op);
}
}
}
//
// C) Evaluate the underlying model implementation!
//
this->evalModelImpl( inArgs, outArgsImpl );
//
// D) Post-process the output arguments
//
// Do explicit transposes for DgDp(j,l) if needed
const int numMvAdjointCopies = DgDp_temp_adjoint_copies.size();
for ( int adj_copy_i = 0; adj_copy_i < numMvAdjointCopies; ++adj_copy_i ) {
const MultiVectorAdjointPair adjPair =
DgDp_temp_adjoint_copies[adj_copy_i];
doExplicitMultiVectorAdjoint( *adjPair.mvImplAdjoint, &*adjPair.mvOuter );
}
// Update W given W_op and W_factory
{
RCP<LinearOpWithSolveBase<Scalar> > W;
if ( default_W_support_ && !is_null(W=outArgs.get_W()) ) {
const RCP<const LinearOpWithSolveFactoryBase<Scalar> >
W_factory = this->get_W_factory();
W_factory->setOStream(this->getOStream());
W_factory->setVerbLevel(this->getVerbLevel());
initializeOp<Scalar>(*W_factory, outArgsImpl.get_W_op().getConst(), W.ptr());
}
}
}
