/usr/include/trilinos/Piro_SteadyStateSolver_Def.hpp is in libtrilinos-piro-dev 12.10.1-3.
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// ************************************************************************
//
// Piro: Strategy package for embedded analysis capabilitites
// Copyright (2010) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Andy Salinger (agsalin@sandia.gov), Sandia
// National Laboratories.
//
// ************************************************************************
// @HEADER
#ifndef PIRO_STEADYSTATESOLVER_DEF_HPP
#define PIRO_STEADYSTATESOLVER_DEF_HPP
#include "Piro_SteadyStateSolver.hpp"
#include "Thyra_ModelEvaluatorHelpers.hpp"
#include "Thyra_DefaultScaledAdjointLinearOp.hpp"
#include "Thyra_DefaultAddedLinearOp.hpp"
#include "Thyra_DefaultMultipliedLinearOp.hpp"
#include "Thyra_DefaultInverseLinearOp.hpp"
#include "Thyra_DefaultIdentityLinearOp.hpp"
#include "Thyra_DefaultZeroLinearOp.hpp"
#include "Thyra_MultiVectorStdOps.hpp"
#include "Thyra_VectorStdOps.hpp"
#include "Teuchos_ScalarTraits.hpp"
#include "Teuchos_TestForException.hpp"
#include "Teuchos_Array.hpp"
#include "Teuchos_Tuple.hpp"
#include "Teuchos_FancyOStream.hpp"
#include <stdexcept>
#include <cstddef>
#include <ostream>
template <typename Scalar>
Piro::SteadyStateSolver<Scalar>::
SteadyStateSolver(const Teuchos::RCP<const Thyra::ModelEvaluator<Scalar> > &model) :
model_(model),
num_p_(model->Np()),
num_g_(model->Ng())
{}
template <typename Scalar>
Piro::SteadyStateSolver<Scalar>::
SteadyStateSolver(
const Teuchos::RCP<const Thyra::ModelEvaluator<Scalar> > &model,
int numParameters) :
model_(model),
num_p_(numParameters),
num_g_(model->Ng())
{}
template<typename Scalar>
Teuchos::RCP<const Thyra::VectorSpaceBase<Scalar> >
Piro::SteadyStateSolver<Scalar>::get_p_space(int l) const
{
TEUCHOS_TEST_FOR_EXCEPTION(l >= num_p_ || l < 0, Teuchos::Exceptions::InvalidParameter,
std::endl <<
"Invalid parameter index l = " <<
l << std::endl);
return model_->get_p_space(l);
}
template<typename Scalar>
Teuchos::RCP<const Thyra::VectorSpaceBase<Scalar> >
Piro::SteadyStateSolver<Scalar>::get_g_space(int j) const
{
TEUCHOS_TEST_FOR_EXCEPTION(j > num_g_ || j < 0, Teuchos::Exceptions::InvalidParameter,
std::endl <<
"Invalid response index j = " <<
j << std::endl);
if (j < num_g_) {
return model_->get_g_space(j);
} else {
// j == num_g_, corresponding to the state by convention
return model_->get_x_space();
}
}
template <typename Scalar>
Thyra::ModelEvaluatorBase::InArgs<Scalar>
Piro::SteadyStateSolver<Scalar>::createInArgsImpl() const
{
Thyra::ModelEvaluatorBase::InArgsSetup<Scalar> result;
result.setModelEvalDescription(this->description());
result.set_Np(num_p_);
return result;
}
template<typename Scalar>
Thyra::ModelEvaluatorBase::InArgs<Scalar>
Piro::SteadyStateSolver<Scalar>::getNominalValues() const
{
Thyra::ModelEvaluatorBase::InArgs<Scalar> result = this->createInArgsImpl();
result.setArgs(
model_->getNominalValues(),
/* ignoreUnsupported = */ true,
/* cloneObjects = */ false);
return result;
}
template <typename Scalar>
Thyra::ModelEvaluatorBase::InArgs<Scalar> Piro::SteadyStateSolver<Scalar>::createInArgs() const
{
return this->createInArgsImpl();
}
template <typename Scalar>
Thyra::ModelEvaluatorBase::OutArgs<Scalar> Piro::SteadyStateSolver<Scalar>::createOutArgsImpl() const
{
Thyra::ModelEvaluatorBase::OutArgsSetup<Scalar> result;
result.setModelEvalDescription(this->description());
// One additional response slot for the solution vector
result.set_Np_Ng(num_p_, num_g_ + 1);
const Thyra::ModelEvaluatorBase::OutArgs<Scalar> modelOutArgs = model_->createOutArgs();
// Sensitivity support (Forward approach only)
// Jacobian solver required for all sensitivities
if (modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_W)) {
for (int l = 0; l < num_p_; ++l) {
// Solution sensitivities: DxDp(l)
// DfDp(l) required
const Thyra::ModelEvaluatorBase::DerivativeSupport dfdp_support =
modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DfDp, l);
const bool dxdp_linOpSupport =
dfdp_support.supports(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
const bool dxdp_mvJacSupport =
dfdp_support.supports(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM);
{
Thyra::ModelEvaluatorBase::DerivativeSupport dxdp_support;
if (dxdp_linOpSupport) {
dxdp_support.plus(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
}
if (dxdp_mvJacSupport) {
dxdp_support.plus(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM);
}
result.setSupports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, num_g_, l, dxdp_support);
}
// Response sensitivities: DgDp(j, l)
// DxDp(l) required
if (dxdp_linOpSupport || dxdp_mvJacSupport) {
for (int j = 0; j < num_g_; ++j) {
// DgDx(j) required
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdx_support =
modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDx, j);
const bool dgdx_linOpSupport =
dgdx_support.supports(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
const bool dgdx_mvGradSupport =
dgdx_support.supports(Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM);
if (dgdx_linOpSupport || dgdx_mvGradSupport) {
// Dgdp(j, l) required
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
Thyra::ModelEvaluatorBase::DerivativeSupport total_dgdp_support;
if (dgdp_support.supports(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP) &&
dgdx_linOpSupport && dxdp_linOpSupport) {
total_dgdp_support.plus(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
}
if (dxdp_mvJacSupport) {
if (dgdp_support.supports(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM)) {
total_dgdp_support.plus(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM);
}
if (dgdp_support.supports(Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM) &&
dgdx_mvGradSupport) {
total_dgdp_support.plus(Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM);
}
}
result.setSupports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l, total_dgdp_support);
}
}
}
}
}
return result;
}
template <typename Scalar>
const Thyra::ModelEvaluator<Scalar> &
Piro::SteadyStateSolver<Scalar>::getModel() const
{
return *model_;
}
template <typename Scalar>
int
Piro::SteadyStateSolver<Scalar>::num_p() const
{
return num_p_;
}
template <typename Scalar>
int
Piro::SteadyStateSolver<Scalar>::num_g() const
{
return num_g_;
}
template <typename Scalar>
void Piro::SteadyStateSolver<Scalar>::evalConvergedModel(
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& modelInArgs,
const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs) const
{
using Teuchos::RCP;
using Teuchos::rcp;
//int g_size = 0; // Commenting out since g_size is not used.
// Solution at convergence is the response at index num_g_
{
const RCP<Thyra::VectorBase<Scalar> > gx_out = outArgs.get_g(num_g_);
if (Teuchos::nonnull(gx_out)) {
//g_size = gx_out->space()->dim();
Thyra::copy(*modelInArgs.get_x(), gx_out.ptr());
}
}
// Setup output for final evalution of underlying model
Thyra::ModelEvaluatorBase::OutArgs<Scalar> modelOutArgs = model_->createOutArgs();
{
// Responses
for (int j = 0; j < num_g_; ++j) {
const RCP<Thyra::VectorBase<Scalar> > g_out = outArgs.get_g(j);
// Forward to underlying model
modelOutArgs.set_g(j, g_out);
}
// Jacobian
{
bool jacobianRequired = false;
for (int j = 0; j <= num_g_; ++j) { // resize
for (int l = 0; l < num_p_; ++l) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
outArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
if (!dgdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdp_deriv =
outArgs.get_DgDp(j, l);
if (!dgdp_deriv.isEmpty()) {
jacobianRequired = true;
}
}
}
}
if (jacobianRequired) {
const RCP<Thyra::LinearOpWithSolveBase<Scalar> > jacobian =
model_->create_W();
modelOutArgs.set_W(jacobian);
}
}
// DfDp derivatives
for (int l = 0; l < num_p_; ++l) {
Thyra::ModelEvaluatorBase::DerivativeSupport dfdp_request;
for (int j = 0; j <= num_g_; ++j) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
outArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
if (!dgdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdp_deriv =
outArgs.get_DgDp(j, l);
if (Teuchos::nonnull(dgdp_deriv.getLinearOp())) {
dfdp_request.plus(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
} else if (Teuchos::nonnull(dgdp_deriv.getMultiVector())) {
dfdp_request.plus(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM);
}
}
}
if (!dfdp_request.none()) {
Thyra::ModelEvaluatorBase::Derivative<Scalar> dfdp_deriv;
if (dfdp_request.supports(Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM)) {
dfdp_deriv = Thyra::create_DfDp_mv(*model_, l, Thyra::ModelEvaluatorBase::DERIV_MV_JACOBIAN_FORM);
} else if (dfdp_request.supports(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP)) {
dfdp_deriv = model_->create_DfDp_op(l);
}
modelOutArgs.set_DfDp(l, dfdp_deriv);
}
}
// DgDx derivatives
for (int j = 0; j < num_g_; ++j) {
Thyra::ModelEvaluatorBase::DerivativeSupport dgdx_request;
for (int l = 0; l < num_p_; ++l) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
outArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
if (!dgdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdp_deriv =
outArgs.get_DgDp(j, l);
if (!dgdp_deriv.isEmpty()) {
const bool dgdp_mvGrad_required =
Teuchos::nonnull(dgdp_deriv.getMultiVector()) &&
dgdp_deriv.getMultiVectorOrientation() == Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM;
if (dgdp_mvGrad_required) {
dgdx_request.plus(Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM);
} else {
dgdx_request.plus(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP);
}
}
}
}
if (!dgdx_request.none()) {
Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdx_deriv;
if (dgdx_request.supports(Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM)) {
dgdx_deriv = Thyra::create_DgDx_mv(*model_, j, Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM);
} else if (dgdx_request.supports(Thyra::ModelEvaluatorBase::DERIV_LINEAR_OP)) {
dgdx_deriv = model_->create_DgDx_op(j);
}
modelOutArgs.set_DgDx(j, dgdx_deriv);
}
}
// DgDp derivatives
for (int l = 0; l < num_p_; ++l) {
for (int j = 0; j < num_g_; ++j) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
outArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
if (!dgdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdp_deriv =
outArgs.get_DgDp(j, l);
Thyra::ModelEvaluatorBase::Derivative<Scalar> model_dgdp_deriv;
const RCP<Thyra::LinearOpBase<Scalar> > dgdp_op = dgdp_deriv.getLinearOp();
if (Teuchos::nonnull(dgdp_op)) {
model_dgdp_deriv = model_->create_DgDp_op(j, l);
} else {
model_dgdp_deriv = dgdp_deriv;
}
if (!model_dgdp_deriv.isEmpty()) {
modelOutArgs.set_DgDp(j, l, model_dgdp_deriv);
}
}
}
}
}
// Evaluate underlying model
model_->evalModel(modelInArgs, modelOutArgs);
// Assemble user-requested sensitivities
if (modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_W)) {
const RCP<Thyra::LinearOpWithSolveBase<Scalar> > jacobian =
modelOutArgs.get_W();
if (Teuchos::nonnull(jacobian)) {
for (int l = 0; l < num_p_; ++l) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dfdp_support =
modelOutArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DfDp, l);
if (!dfdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dfdp_deriv =
modelOutArgs.get_DfDp(l);
const RCP<Thyra::MultiVectorBase<Scalar> > dfdp_mv =
dfdp_deriv.getMultiVector();
RCP<Thyra::LinearOpBase<Scalar> > dfdp_op =
dfdp_deriv.getLinearOp();
if (Teuchos::is_null(dfdp_op)) {
dfdp_op = dfdp_mv;
}
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dxdp_deriv =
outArgs.get_DgDp(num_g_, l);
const RCP<Thyra::LinearOpBase<Scalar> > dxdp_op =
dxdp_deriv.getLinearOp();
const RCP<Thyra::MultiVectorBase<Scalar> > dxdp_mv =
dxdp_deriv.getMultiVector();
RCP<const Thyra::LinearOpBase<Scalar> > minus_dxdp_op;
RCP<Thyra::MultiVectorBase<Scalar> > minus_dxdp_mv;
if (Teuchos::nonnull(dfdp_mv)) {
if (Teuchos::nonnull(dxdp_mv)) {
minus_dxdp_mv = dxdp_mv; // Use user-provided object as temporary
} else {
minus_dxdp_mv =
Thyra::createMembers(model_->get_x_space(), model_->get_p_space(l));
minus_dxdp_op = minus_dxdp_mv;
}
}
if (Teuchos::is_null(minus_dxdp_op)) {
const RCP<const Thyra::LinearOpBase<Scalar> > dfdx_inv_op =
Thyra::inverse<Scalar>(jacobian);
minus_dxdp_op = Thyra::multiply<Scalar>(dfdx_inv_op, dfdp_op);
}
if (Teuchos::nonnull(minus_dxdp_mv)) {
Thyra::assign(minus_dxdp_mv.ptr(), Teuchos::ScalarTraits<Scalar>::zero());
const Thyra::SolveCriteria<Scalar> defaultSolveCriteria;
const Thyra::SolveStatus<Scalar> solveStatus =
Thyra::solve(
*jacobian,
Thyra::NOTRANS,
*dfdp_mv,
minus_dxdp_mv.ptr(),
Teuchos::ptr(&defaultSolveCriteria));
// AGS: Made this a warning instead of exception since it is 'just' post-processing
if (solveStatus.solveStatus == Thyra::SOLVE_STATUS_UNCONVERGED)
*(Teuchos::VerboseObjectBase::getDefaultOStream() ) <<
"\nWARNING: Linear Solver in sensitivity computation failed to fully converge\n"
<< " Accuracy of sensitivity calculations is less then requested." << std::endl;
}
// Solution sensitivities
if (Teuchos::nonnull(dxdp_mv)) {
minus_dxdp_mv = Teuchos::null; // Invalidates temporary
Thyra::scale(-Teuchos::ScalarTraits<Scalar>::one(), dxdp_mv.ptr());
} else if (Teuchos::nonnull(dxdp_op)) {
const RCP<Thyra::DefaultMultipliedLinearOp<Scalar> > dxdp_op_downcasted =
Teuchos::rcp_dynamic_cast<Thyra::DefaultMultipliedLinearOp<Scalar> >(dxdp_op);
TEUCHOS_TEST_FOR_EXCEPTION(
Teuchos::is_null(dxdp_op_downcasted),
std::invalid_argument,
"Illegal operator for DgDp(" <<
"j = " << num_g_ << ", " <<
"index l = " << l << ")\n");
const RCP<const Thyra::LinearOpBase<Scalar> > minus_id_op =
Thyra::scale<Scalar>(-Teuchos::ScalarTraits<Scalar>::one(), Thyra::identity(dfdp_op->domain()));
dxdp_op_downcasted->initialize(Teuchos::tuple(minus_dxdp_op, minus_id_op));
}
// Response sensitivities
for (int j = 0; j < num_g_; ++j) {
const Thyra::ModelEvaluatorBase::DerivativeSupport dgdp_support =
outArgs.supports(Thyra::ModelEvaluatorBase::OUT_ARG_DgDp, j, l);
if (!dgdp_support.none()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdp_deriv =
outArgs.get_DgDp(j, l);
if (!dgdp_deriv.isEmpty()) {
const Thyra::ModelEvaluatorBase::Derivative<Scalar> dgdx_deriv =
modelOutArgs.get_DgDx(j);
const RCP<const Thyra::MultiVectorBase<Scalar> > dgdx_mv =
dgdx_deriv.getMultiVector();
RCP<const Thyra::LinearOpBase<Scalar> > dgdx_op =
dgdx_deriv.getLinearOp();
if (Teuchos::is_null(dgdx_op)) {
dgdx_op = Thyra::adjoint<Scalar>(dgdx_mv);
}
const RCP<Thyra::LinearOpBase<Scalar> > dgdp_op =
dgdp_deriv.getLinearOp();
if (Teuchos::nonnull(dgdp_op)) {
const RCP<Thyra::DefaultAddedLinearOp<Scalar> > dgdp_op_downcasted =
Teuchos::rcp_dynamic_cast<Thyra::DefaultAddedLinearOp<Scalar> >(dgdp_op);
TEUCHOS_TEST_FOR_EXCEPTION(
Teuchos::is_null(dgdp_op_downcasted),
std::invalid_argument,
"Illegal operator for DgDp(" <<
"j = " << j << ", " <<
"index l = " << l << ")\n");
dgdp_op_downcasted->uninitialize();
const RCP<const Thyra::LinearOpBase<Scalar> > implicit_dgdp_op =
Thyra::multiply<Scalar>(
Thyra::scale<Scalar>(-Teuchos::ScalarTraits<Scalar>::one(), dgdx_op),
minus_dxdp_op);
const RCP<const Thyra::LinearOpBase<Scalar> > model_dgdp_op =
modelOutArgs.get_DgDp(j, l).getLinearOp();
Teuchos::Array<RCP<const Thyra::LinearOpBase<Scalar> > > op_args(2);
op_args[0] = model_dgdp_op;
op_args[1] = implicit_dgdp_op;
dgdp_op_downcasted->initialize(op_args);
}
const RCP<Thyra::MultiVectorBase<Scalar> > dgdp_mv =
dgdp_deriv.getMultiVector();
if (Teuchos::nonnull(dgdp_mv)) {
if (dgdp_deriv.getMultiVectorOrientation() == Thyra::ModelEvaluatorBase::DERIV_MV_GRADIENT_FORM) {
if (Teuchos::nonnull(dxdp_mv)) {
Thyra::apply(
*dxdp_mv,
Thyra::TRANS,
*dgdx_mv,
dgdp_mv.ptr(),
Teuchos::ScalarTraits<Scalar>::one(),
Teuchos::ScalarTraits<Scalar>::one());
} else {
Thyra::apply(
*minus_dxdp_mv,
Thyra::TRANS,
*dgdx_mv,
dgdp_mv.ptr(),
-Teuchos::ScalarTraits<Scalar>::one(),
Teuchos::ScalarTraits<Scalar>::one());
}
} else {
if (Teuchos::nonnull(dxdp_mv)) {
Thyra::apply(
*dgdx_op,
Thyra::NOTRANS,
*dxdp_mv,
dgdp_mv.ptr(),
Teuchos::ScalarTraits<Scalar>::one(),
Teuchos::ScalarTraits<Scalar>::one());
} else {
Thyra::apply(
*dgdx_op,
Thyra::NOTRANS,
*minus_dxdp_mv,
dgdp_mv.ptr(),
-Teuchos::ScalarTraits<Scalar>::one(),
Teuchos::ScalarTraits<Scalar>::one());
}
}
}
}
}
}
}
}
}
}
}
template <typename Scalar>
Teuchos::RCP<Thyra::LinearOpBase<Scalar> >
Piro::SteadyStateSolver<Scalar>::create_DgDp_op_impl(int j, int l) const
{
const Teuchos::Array<Teuchos::RCP<const Thyra::LinearOpBase<Scalar> > > dummy =
Teuchos::tuple(Thyra::zero<Scalar>(this->get_g_space(j), this->get_p_space(l)));
if (j == num_g_) {
return Thyra::defaultMultipliedLinearOp<Scalar>(dummy);
} else {
return Teuchos::rcp(new Thyra::DefaultAddedLinearOp<Scalar>(dummy));
}
}
#endif /*PIRO_STEADYSTATESOLVER_DEF_HPP*/
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