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// ***********************************************************************
//
// Rythmos Package
// Copyright (2006) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 2.1 of the
// License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301
// USA
// Questions? Contact Todd S. Coffey (tscoffe@sandia.gov)
//
// ***********************************************************************
//@HEADER
#ifndef RYTHMOS_FORWARD_SENSITIVITY_STEPPER_HPP
#define RYTHMOS_FORWARD_SENSITIVITY_STEPPER_HPP
#include "Rythmos_StepperBase.hpp"
#include "Rythmos_StepperHelpers.hpp"
#include "Rythmos_ForwardSensitivityModelEvaluatorBase.hpp"
#include "Rythmos_ForwardSensitivityImplicitModelEvaluator.hpp"
#include "Rythmos_ForwardSensitivityExplicitModelEvaluator.hpp"
#include "Rythmos_StateAndForwardSensitivityModelEvaluator.hpp"
#include "Rythmos_SolverAcceptingStepperBase.hpp"
#include "Rythmos_IntegratorBase.hpp"
#include "Rythmos_SingleResidualModelEvaluatorBase.hpp"
#include "Thyra_ModelEvaluatorHelpers.hpp"
#include "Thyra_LinearNonlinearSolver.hpp"
#include "Thyra_ProductVectorBase.hpp"
#include "Thyra_AssertOp.hpp"
#include "Teuchos_ParameterListAcceptorDefaultBase.hpp"
#include "Teuchos_VerboseObjectParameterListHelpers.hpp"
#include "Teuchos_ConstNonconstObjectContainer.hpp"
#include "Teuchos_Assert.hpp"
#include "Teuchos_as.hpp"
namespace Rythmos {
/** \brief Foward sensitivity stepper concrete subclass.
*
* This class provides a very general implemenation of a forward sensitivity
* stepper.
*
* \section Rythmos_ForwardSensitivityStepper_intro_sec Introduction
*
* The most general form of the parameterized state equation is:
\verbatim
f(x_dot(t),x(t),p) = 0, over t = [t0,tf]
x(t0) = x_init(p)
\endverbatim
* As shown above, the parameters <tt>p</tt> are assumed to be steady state
* parameters and can enter through the intial condition and/or through the
* DAE equation itself. This class also supports a form of the problem where
* parameters <tt>p</tt> are only assumed to bin the initial condition
* <tt>x_init(p)</tt> and not in the state equation. In this case, you can
* just drop out all of the terms <tt>d(f)/d(p)</tt> shown in the equations
* below because they are zero.
*
* The forward sensitivity equations that are solved along with the state
* equation, written in multi-vector form, are:
\verbatim
d(f)/d(x_dot)*S_dot + d(f)/d(x)*S + d(f)/d(p) = 0, over t = [t0,tf]
S(t0) = d(x_init)/d(p)
\endverbatim
* where <tt>S</tt> is a multi-vector with <tt>np</tt> columns where each
* column <tt>S(:,j) = d(x)/d(p_j)</tt> is the sensitivity of <tt>x(t)</tt>
* with respect to the <tt>p_j</tt> parameter.
*
* The forward sensitivity equations are a DAE and must be solved using a time
* integrator. Conceptually, the state plus forward sensitivity system can be
* throught of as a big composite DAE model of the form:
\verbatim
f_bar(x_bar_dot(t),x_bar(t)) = 0, over t = [t0,tf]
x_bar(t0) = x_bar_init
\endverbatim
* where
\verbatim
x_bar = [ x; s_bar ]
s_bar = [ S(:,0); S(:,0); ...; S(:,np-1) ]
\endverbatim
* and <tt>f_bar(...)</tt> is the obvious concatenated state and sensitivity
* system. See the class <tt>StateAndForwardSensitivityModelEvaluatorBase</tt>
* for a description of how to get at the components of <tt>x</tt>,
* <tt>s_bar</tt>, and <tt>S</tt> given <tt>x_bar</tt>.
*
* The <tt>InterpolationBufferBase</tt> interface implemented by this class is
* defined with respect to the full composite solution vector <tt>x_bar</tt>
* which is returned as a product vector with two components. The first
* component is <tt>x</tt>. The second component is another product vector
* for the implicit concatenation of the columns of the sensitivities shown as
* <tt>s_bar</tt> above. The <tt>s_bar</tt> product vector is really
* implemented directly as a multi-vector and represents an efficient way to
* represent the forward sensitivities. Therefore, through the interpolation
* buffer interface function <tt>getPoints()</tt> a client can access the
* state and the sensitivities at any point in the range of the current
* timestep.
*
* Note that this class does not implement the function <tt>setModel()</tt>
* since any arbitrary combined state + sensitivity model can not be
* supported.
*
* \section Rythmos_ForwardSensitivityStepper_details_sec Implementation Details
*
* There are a variety of ways that one can go about implementing a state
* plus forward sensitivity stepper. Three ways for doing this are described
* in the report "Design of New DASPK for Sensitivity Analysis" by Shengtai Li
* and Linda Petzold. The three ways are the <em>simultaneous corrector</em>,
* the <em>staggered direct</em> and the <em>staggered corrector</em> methods.
*
* The <em>simultaneous corrector</em> method would be equivalent to forming
* one big ModelEvaluator for the state and sensitivities where the "state"
* variables would be the <tt>x_bar</tt> variables described above and then
* this big system would be solved with a single stepper object and as single
* nonlinear solver. The advantage of this approach is that it makes great
* reuse of all of the timestepping software. Also, by being able to
* specialize the nonlinear solver (which you can't do in most software) you
* could set up the nonlinear solver to first solve the nonlinear state
* timestep equation, and then solve the linear sensitivity equations. The
* problem with this approach would be that it would be very wasteful if the
* timestep had to be cut back in order to reduce the local truncation error
* of the state solution. This would result in the sensitivity solution being
* thrown away for each cut-back iteration. Because of this fundamental
* problem, we have not implemented the simultaneous corrector method.
* Actually, we are not really sure why anyone implements ths method.
*
* The <em>staggered direct</em> and <em>staggered corrector</em> methods are
* similar in several ways. In each method, the state timestep is first fully
* solved (including any stepsize reduction iterations that are needed) and
* then the sensitivities are solved, taking advantage of the pre-computed
* state timestep Jacobian. One difference between the two methods is that in
* the staggered direct method, the sensitivities are solved for directly.
* This can result in numerical accuracy problems and does not allow the reuse
* of an inexact solve when a direct factorization is used. In the staggered
* corrector method, an implicit corrector solve is used to compute the change
* in the sensitivity variables using a Newton method. This results in better
* numerical stability and allows the reuse of an old Jacobian and
* factorization in the Newton method. However, if an exact Jacobian is used
* for the solve, then the Newton method will converge in one iteration
* (assuming the linear solver tolerance is made tight enough) with no harm
* done.
*
* Because of the advantages of the staggered corrector method over the other
* methods, the staggered corrector method is what is implemented in this
* stepper class. However, the term "corrector" is not really appropriate to
* be used in the context of this class since this class does not have to
* assume anything about how timesteps are computed and does not care if a
* predictor/corrector method is used or not.
*
* While this class does provide a full ModelEvaluator for the full state plus
* forward sensitivity DAE <tt>f_bar(x_bar_hat,x_bar)</tt> it is not solved
* all at one time as described above. Instead, the step is solved first for
* the state equation and then a ModelEvaluator for just the linear forward
* sensitivity equations is formed and is solved over the same time step as
* the forward solve.
*
* Currently, timestep control is not performed for the forward sensitivity
* variables. In the future, however, it would not be too difficult to allow
* for the timestep to be reduced for the sensitivity variables but this would
* require a "undoStep()" operation be implimented for the state stepper
* object and this is not currently supported by the <tt>StepperBase</tt>
* interface.
*
*
* 2007/15/21: rabart: ToDo: This class only works for implicit models and
* steppers right now but it would be easy to get this to work for explicit
* steppers and models later with a little work. With an explicit method and
* model, we don't need to reuse W_tilde so this is easier in a way!
*
* ToDo: Finish documentation!
*/
template<class Scalar>
class ForwardSensitivityStepper
: virtual public StepperBase<Scalar>,
virtual public Teuchos::ParameterListAcceptorDefaultBase
{
public:
/** \brief . */
typedef typename Teuchos::ScalarTraits<Scalar>::magnitudeType ScalarMag;
/** \name Constructors, Intializers, Misc. */
//@{
/** \brief Constructs to uninitialized. */
ForwardSensitivityStepper();
/** \brief Intialize for synced state and sens steppers.
*
* \param stateModel [in,persisting] The ModelEvaluator that defines the
* parameterized state model <tt>f(x_dot,x,p)</tt>.
*
* \param p_index [in] The index of the parameter subvector in
* <tt>stateModel</tt> for which sensitivities will be computed for.
*
* \param baseStatePoint [in] Whatever input arguments are needed to define
* the state of the model including the parameters except x, x_dot, and t!
*
* \param stateStepper [in,persisting] The stepper object that will be used
* to advance the state solution <tt>x(t)</tt>. This stepper need not be
* setup with a model or a nonlinear timestep solver. All this stepper
* object needs is to be given its parameters to determine exactly what
* timestepping algorithm will be employed. The model and the timestep
* solver objects will be set internally.
*
* \param stateTimeStepSolver [in,persisting] The nonlinear solver object
* that is used to solve for the state timestep equation. This is needed to
* extract the Jacobian matrix that is used in the sensitivity model. If
* the stepper is not an implicit stepper and does not use an implicit time
* step solver, then this argument should be left null.
*
* \param sensStepper [in,persisting] The stepper object that will be used
* to advance the sensitivity solution <tt>S(t)</tt>. This stepper need not
* be setup with a model or a nonlinear timestep solver. All this stepper
* object needs is to be given its parameters to determine exactly what
* timestepping algorithm will be employed. The model and the timestep
* solver objects will be set internally. If this argument is null, then
* the <tt>stateStepper</tt> object will be cloned to generate this stepper
* object. The most common use cases should just pass in
* <tt>Teuchos::null</tt> and just use the identical stepper as the state
* stepper. However, this argument allows a client to specialize exactly
* what the sensitivity stepper does and therefore this hook is allowed.
*
* \param sensTimeStepSolver [in,persisting] The nonlinear solver object
* that is used to solve for the (linear) sensitivity timestep equation. If
* the stepper is not an implicit stepper and does not use an implicit
* timestep solver, then this argument can be left null. If the stepper is
* implicit, and this argument is left null, then a
* <tt>Thyra::LinearNonlinearSolver</tt> object will be created and used.
* The most common use cases should just pass in <tt>Teuchos::null</tt> and
* just use the simple linear nonlinear solver to will perform just a single
* linear solve. However, this argument allows a client to specialize
* exactly what the nonlinear solver in the sensitivity stepper does and
* therefore this hook is exposed to clients.
*
* Here <tt>*this</tt> is set up to synchronize the state and sensitivity
* solvers. Currently, error control is only done by the state stepper and
* not the sensitivity stepper but the overall implementation has a high
* degree of resuse and will therefore compute sensitivities quite fast.
*/
void initializeSyncedSteppers(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper = Teuchos::null,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver = Teuchos::null
);
/** \brief Intialize for synced state and sens steppers for an
* initial-condition only parametrized sensitivity problem.
*
* \param stateModel [in,persisting] See initializeSyncedSteppers().
*
* \param p_space [in] The vector space for the parameterized initial
* condition parameters.
*
* \param baseStatePoint [in] See initializeSyncedSteppers().
*
* \param stateStepper [in,persisting] See initializeSyncedSteppers().
*
* \param stateTimeStepSolver [in,persisting] See initializeSyncedSteppers().
*
* \param sensStepper [in,persisting] See initializeSyncedSteppers().
*
* \param sensTimeStepSolver [in,persisting] See initializeSyncedSteppers().
*
* Here <tt>*this</tt> is set up to synchronize the state and sensitivity
* solvers for an initial-condition only forward sensitivity problem.
* Currently, error control is only done by the state stepper and not the
* sensitivity stepper but the overall implementation has a high degree of
* resuse and will therefore compute sensitivities quite fast.
*/
void initializeSyncedSteppersInitCondOnly(
const RCP<const Thyra::ModelEvaluator<Scalar> >& stateModel,
const RCP<const Thyra::VectorSpaceBase<Scalar> >& p_space,
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& stateBasePoint,
const RCP<StepperBase<Scalar> >& stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> >& stateTimeStepSolver,
const RCP<StepperBase<Scalar> >& sensStepper = Teuchos::null,
const RCP<Thyra::NonlinearSolverBase<Scalar> >& sensTimeStepSolver = Teuchos::null
);
/** \brief Intialize for decoupled state and sens steppers.
*
* \param stateModel [in,persisting] See <tt>initializeSyncedSteppers()</tt>.
*
* \param p_index [in] See <tt>initializeSyncedSteppers()</tt>.
*
* \param baseStatePoint [in] See <tt>initializeSyncedSteppers()</tt>.
*
* \param stateStepper [in,persisting] See
* <tt>initializeSyncedSteppers()</tt>.
*
* \param stateTimeStepSolver [in,persisting] See
* <tt>initializeSyncedSteppers()</tt>.
*
* \param stateIntegrator [in,persisting] The intergrator that will be used
* to integrate the state given <tt>stateStepper</tt>. This integrator must
* be set up with a trailing interpolation buffer in order to be able to
* allow for complete flexibility in how the time steps for the sens
* equations are solved.
*
* \param finalTime [in] The final time for the state integrator. This is
* needed to initialize <tt>stateIntegrator</tt> with <tt>stateStepper</tt>.
*
* \param sensStepper [in,persisting] See
* <tt>initializeSyncedSteppers()</tt>.
*
* \param sensTimeStepSolver [in,persisting] See
* <tt>initializeSyncedSteppers()</tt>.
*
* Here <tt>*this</tt> is set up to run the state and sens steppers
* completely independently; each with the their own error control
* strategies. The state stepper in driven through the state integrator
* which in turn is driven by the ForwardSensitivityModelEvaluatorBase that is
* driven by the sens stepper.
*/
void initializeDecoupledSteppers(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<IntegratorBase<Scalar> > &stateIntegrator,
const Scalar &finalTime,
const RCP<StepperBase<Scalar> > &sensStepper = Teuchos::null,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver = Teuchos::null
);
/** \brief Return if the state model is const-only or not. */
bool stateModelIsConst() const;
/** \brief Return the state model that was passed into an initialize
* function.
*/
RCP<const Thyra::ModelEvaluator<Scalar> >
getStateModel() const;
/** \brief Return the state stepper that was passed into an initialize
* function.
*/
RCP<StepperBase<Scalar> >
getNonconstStateStepper();
/** \brief Return the forward sensitivity model evaluator object that got
* created internally when the initialize function was called.
*/
RCP<const ForwardSensitivityModelEvaluatorBase<Scalar> >
getFwdSensModel() const;
/** \brief Return the state and forward sensitivity model evaluator object
* that got created internally when the nitialize function was called.
*
* This is also the same model returned by the function <tt>getModel()</tt>,
* except through it's concrete subclass type.
*/
RCP<const StateAndForwardSensitivityModelEvaluator<Scalar> >
getStateAndFwdSensModel() const;
//@}
/** \name Overridden from Teuchos::ParameterListAcceptor */
//@{
/** \brief . */
void setParameterList(RCP<Teuchos::ParameterList> const& paramList);
/** \brief . */
RCP<const Teuchos::ParameterList> getValidParameters() const;
//@}
/** \name Overridden from StepperBase */
//@{
/** \brief Returns false. */
bool acceptsModel() const;
/** \brief Throws exception. */
void setModel(
const RCP<const Thyra::ModelEvaluator<Scalar> >& model
);
/** \brief Throws exception. */
void setNonconstModel(
const RCP<Thyra::ModelEvaluator<Scalar> >& model
);
/** \brief Returns <tt>getStateAndFwdSensModel()</tt>.
*
* Warning, currently the returned model does not implement evalModel(...)
* or define a W object. It is just used for getting the spaces and for
* creating an InArgs object for setting the initial condition.
*/
RCP<const Thyra::ModelEvaluator<Scalar> > getModel() const;
/** \brief . */
RCP<Thyra::ModelEvaluator<Scalar> > getNonconstModel();
// RAB: ToDo: 2007/05/15: I need to talk with Todd about potentially
// removing the setModel() and getModel() functions from the StepperBase
// interface. In the case of this forward sensitivity solver, I am not sure
// that it makes a lot of sense to define a model. This surely will not be
// the model that a generic client would expect. The assumption I am sure
// would be that this model has the same space for x as the interpolation
// buffer but that is not true in this case.
/** \brief Sets the full initial condition for <tt>x_bar = [ x; s_bar] </tt>
* and <tt>x_bar_dot = [ x_dot; s_bar_dot ]</tt> as well as the initial time
* and the parameter values.
*
* The InArgs object must be created using
* <tt>this->getModel()->createInArgs()</tt> and then populated with the
* initial values. The product vectors for <tt>x_bar</tt> and
* <tt>x_bar_dot</tt> can be created using
* <tt>this->getStateAndFwdSensModel()->create_x_bar_vec(...)</tt>. All of
* the input objects in <tt>state_and_sens_ic</tt> will be cloned and
* therefore no memory of the objects in <tt>state_and_sens_ic</tt> will be
* retained after calling this function.
*/
void setInitialCondition(
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &state_and_sens_ic
);
/** \brief . */
Thyra::ModelEvaluatorBase::InArgs<Scalar> getInitialCondition() const;
/** \brief . */
Scalar takeStep( Scalar dt, StepSizeType stepType );
/** \brief . */
const StepStatus<Scalar> getStepStatus() const;
//@}
/** \name Overridden from InterpolationBufferBase */
//@{
/** \brief Returns the space for <tt>x_bar</tt> and <tt>x_bar_dot</tt>.
*
* This space is a nested product vector space as described above. Dynamic
* casting is required to get at the <tt>ProductVectorSapceBase</tt> and
* <tt>ProductVectorBase</tt> intefaces.
*/
RCP<const Thyra::VectorSpaceBase<Scalar> >
get_x_space() const;
/** \brief . */
void addPoints(
const Array<Scalar>& time_vec,
const Array<Teuchos::RCP<const Thyra::VectorBase<Scalar> > >& x_vec,
const Array<Teuchos::RCP<const Thyra::VectorBase<Scalar> > >& xdot_vec
);
/** \brief . */
TimeRange<Scalar> getTimeRange() const;
/** \brief . */
void getPoints(
const Array<Scalar>& time_vec,
Array<RCP<const Thyra::VectorBase<Scalar> > >* x_vec,
Array<RCP<const Thyra::VectorBase<Scalar> > >* xdot_vec,
Array<ScalarMag>* accuracy_vec
) const;
/** \brief . */
void getNodes(Array<Scalar>* time_vec) const;
/** \brief . */
void removeNodes(Array<Scalar>& time_vec);
/** \brief . */
int getOrder() const;
//@}
/** \name Deprecated. */
//@{
/** \brief Deprecated. */
void initialize(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper = Teuchos::null,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver = Teuchos::null
)
{
initializeSyncedSteppers(
stateModel, p_index, stateBasePoint, stateStepper, stateTimeStepSolver,
sensStepper, sensTimeStepSolver
);
}
//@}
private:
// ///////////////////
// Private types
typedef Teuchos::ConstNonconstObjectContainer<Thyra::ModelEvaluator<Scalar> > CNCME;
// /////////////////////////
// Private data members
bool forceUpToDateW_;
CNCME stateModel_;
Thyra::ModelEvaluatorBase::InArgs<Scalar> stateBasePoint_;
RCP<StepperBase<Scalar> > stateStepper_;
RCP<Thyra::NonlinearSolverBase<Scalar> > stateTimeStepSolver_;
RCP<IntegratorBase<Scalar> > stateIntegrator_;
Scalar finalTime_;
Thyra::ModelEvaluatorBase::InArgs<Scalar> stateAndSensBasePoint_;
RCP<StepperBase<Scalar> > sensStepper_;
RCP<Thyra::NonlinearSolverBase<Scalar> > sensTimeStepSolver_;
bool isSingleResidualStepper_;
RCP<ForwardSensitivityModelEvaluatorBase<Scalar> > sensModel_;
RCP<StateAndForwardSensitivityModelEvaluator<Scalar> > stateAndSensModel_;
Thyra::ModelEvaluatorBase::InArgs<Scalar> stateBasePoint_t_;
static const std::string forceUpToDateW_name_;
static const bool forceUpToDateW_default_;
// /////////////////////////
// Private member functions
// Common initialization helper
//
// Preconditions:
// (*) p_index >=0 or nonnull(p_space) == true
//
void initializeCommon(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const RCP<const Thyra::VectorSpaceBase<Scalar> > &p_space,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver
);
Scalar takeSyncedStep( Scalar dt, StepSizeType stepType );
Scalar takeDecoupledStep( Scalar dt, StepSizeType stepType );
};
// 2009/09/05: rabartl: ToDo: To fix the const and non-const handling of the
// stateModel in this class is going to be a lot of work but here is what
// needs to be done:
//
// (*) Duplicate each function that sets the stateModel, one for const and one
// for non-const.
//
// (*) Create a single a private version for each of these functions that
// accepts a Teuchos::ConstNonconstObjectContainer<> object and will implement
// the guts of the set up same as the existing functions.
//
// (*) Get all of the concrete StepperBase subclasses to implement the
// setModel(const RCP<const ME>&) and modelIsConst() functions and get them to
// use the Teuchos::ConstNonconstObjectContainer<> class as described above.
// This should be pretty easy as the only function that needs to be addressed
// in most cases is just the setModel(...) function.
//
/** \brief Nonmember constructor.
*
* \relates ForwardSensitivityStepper
*/
template<class Scalar>
inline
RCP<ForwardSensitivityStepper<Scalar> >
forwardSensitivityStepper()
{
return Teuchos::rcp(new ForwardSensitivityStepper<Scalar>());
}
/** \brief Nonmember constructor.
*
* \relates ForwardSensitivityStepper
*/
template<class Scalar>
inline
RCP<ForwardSensitivityStepper<Scalar> >
forwardSensitivityStepper(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper = Teuchos::null,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver = Teuchos::null
)
{
RCP<ForwardSensitivityStepper<Scalar> >
fwdSensStepper = Teuchos::rcp(new ForwardSensitivityStepper<Scalar>());
fwdSensStepper->initializeSyncedSteppers(
stateModel, p_index, stateBasePoint, stateStepper, stateTimeStepSolver );
return fwdSensStepper;
}
/** \brief Return the index of the parameter subvector in the underlying state
* model.
*
* \relates ForwardSensitivityStepper
*/
template<class Scalar>
int getParameterIndex(
const ForwardSensitivityStepper<Scalar> &fwdSensStepper
)
{
return fwdSensStepper.getFwdSensModel()->get_p_index();
}
/** \brief Set up default initial conditions for the state and sensitivity
* stepper with default zero initial conditions for the sensitivity
* quantities.
*
* \relates ForwardSensitivityStepper
*/
template<class Scalar>
inline
Thyra::ModelEvaluatorBase::InArgs<Scalar>
createStateAndSensInitialCondition(
const ForwardSensitivityStepper<Scalar> &fwdSensStepper,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &state_ic,
const RCP<const Thyra::MultiVectorBase<Scalar> > S_init = Teuchos::null,
const RCP<const Thyra::MultiVectorBase<Scalar> > S_dot_init = Teuchos::null
)
{
using Teuchos::outArg;
using Thyra::assign;
typedef Thyra::ModelEvaluatorBase MEB;
RCP<const Thyra::VectorBase<Scalar> > s_bar_init;
if (nonnull(S_init)) {
s_bar_init = create_s_bar_given_S(*fwdSensStepper.getFwdSensModel(), S_init);
}
else {
RCP<Thyra::VectorBase<Scalar> > s_bar_init_loc =
createMember(fwdSensStepper.getFwdSensModel()->get_x_space());
assign( outArg(*s_bar_init_loc), 0.0 );
s_bar_init = s_bar_init_loc;
}
RCP<const Thyra::VectorBase<Scalar> > s_bar_dot_init;
if (nonnull(S_dot_init)) {
s_bar_dot_init = create_s_bar_given_S(*fwdSensStepper.getFwdSensModel(), S_dot_init);
}
else {
RCP<Thyra::VectorBase<Scalar> > s_bar_dot_init_loc =
createMember(fwdSensStepper.getFwdSensModel()->get_x_space());
assign( outArg(*s_bar_dot_init_loc), 0.0 );
s_bar_dot_init = s_bar_dot_init_loc;
}
RCP<const Rythmos::StateAndForwardSensitivityModelEvaluator<Scalar> >
stateAndSensModel = fwdSensStepper.getStateAndFwdSensModel();
MEB::InArgs<Scalar>
state_and_sens_ic = fwdSensStepper.getModel()->createInArgs();
// Copy time, parameters etc.
state_and_sens_ic.setArgs(state_ic);
// Set initial condition for x_bar = [ x; s_bar ]
state_and_sens_ic.set_x(
stateAndSensModel->create_x_bar_vec(state_ic.get_x(), s_bar_init)
);
// Set initial condition for x_bar_dot = [ x_dot; s_bar_dot ]
state_and_sens_ic.set_x_dot(
stateAndSensModel->create_x_bar_vec(state_ic.get_x_dot(), s_bar_dot_init)
);
return state_and_sens_ic;
}
/** \brief Extract out the initial condition for just the state model given
* the initial condition for the state and sensitivity model.
*
* \relates ForwardSensitivityStepper
*/
template<class Scalar>
inline
Thyra::ModelEvaluatorBase::InArgs<Scalar>
extractStateInitialCondition(
const ForwardSensitivityStepper<Scalar> &fwdSensStepper,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &state_and_sens_ic
)
{
using Thyra::productVectorBase;
typedef Thyra::ModelEvaluatorBase MEB;
MEB::InArgs<Scalar>
state_ic = fwdSensStepper.getStateModel()->createInArgs();
// Copy time, parameters etc.
state_ic.setArgs(state_and_sens_ic);
state_ic.set_x(
productVectorBase(state_and_sens_ic.get_x())->getVectorBlock(0));
state_ic.set_x_dot(
productVectorBase(state_and_sens_ic.get_x_dot())->getVectorBlock(0));
return state_ic;
}
//
// Implementation
//
// Static members
template<class Scalar>
const std::string ForwardSensitivityStepper<Scalar>::forceUpToDateW_name_
= "Force Up-To-Date Jacobian";
template<class Scalar>
const bool ForwardSensitivityStepper<Scalar>::forceUpToDateW_default_
= true;
// Constructors, Intializers, Misc.
template<class Scalar>
ForwardSensitivityStepper<Scalar>::ForwardSensitivityStepper()
:forceUpToDateW_(false),
isSingleResidualStepper_(false)
{}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::initializeSyncedSteppers(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver
)
{
initializeCommon( stateModel, p_index, Teuchos::null, stateBasePoint, stateStepper,
stateTimeStepSolver, sensStepper, sensTimeStepSolver );
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::initializeSyncedSteppersInitCondOnly(
const RCP<const Thyra::ModelEvaluator<Scalar> >& stateModel,
const RCP<const Thyra::VectorSpaceBase<Scalar> >& p_space,
const Thyra::ModelEvaluatorBase::InArgs<Scalar>& stateBasePoint,
const RCP<StepperBase<Scalar> >& stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> >& stateTimeStepSolver,
const RCP<StepperBase<Scalar> >& sensStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> >& sensTimeStepSolver
)
{
initializeCommon(stateModel, -1, p_space, stateBasePoint, stateStepper,
stateTimeStepSolver, sensStepper, sensTimeStepSolver );
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::initializeDecoupledSteppers(
const RCP<const Thyra::ModelEvaluator<Scalar> > &stateModel,
const int p_index,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<IntegratorBase<Scalar> > &stateIntegrator,
const Scalar &finalTime,
const RCP<StepperBase<Scalar> > &sensStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver
)
{
TEUCHOS_ASSERT(nonnull(stateIntegrator));
initializeCommon( stateModel, p_index, Teuchos::null, stateBasePoint, stateStepper,
stateTimeStepSolver, sensStepper, sensTimeStepSolver );
stateIntegrator_ = stateIntegrator;
finalTime_ = finalTime;
}
template<class Scalar>
bool ForwardSensitivityStepper<Scalar>::stateModelIsConst() const
{
return stateModel_.isConst();
}
template<class Scalar>
RCP<const Thyra::ModelEvaluator<Scalar> >
ForwardSensitivityStepper<Scalar>::getStateModel() const
{
return stateModel_.getConstObj();
}
template<class Scalar>
RCP<StepperBase<Scalar> >
ForwardSensitivityStepper<Scalar>::getNonconstStateStepper()
{
return stateStepper_;
}
template<class Scalar>
RCP<const ForwardSensitivityModelEvaluatorBase<Scalar> >
ForwardSensitivityStepper<Scalar>::getFwdSensModel() const
{
return sensModel_;
}
template<class Scalar>
RCP<const StateAndForwardSensitivityModelEvaluator<Scalar> >
ForwardSensitivityStepper<Scalar>::getStateAndFwdSensModel() const
{
return stateAndSensModel_;
}
// Overridden from Teuchos::ParameterListAcceptor
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::setParameterList(
RCP<Teuchos::ParameterList> const& paramList
)
{
TEUCHOS_TEST_FOR_EXCEPT(is_null(paramList));
paramList->validateParameters(*getValidParameters());
this->setMyParamList(paramList);
forceUpToDateW_ = paramList->get(forceUpToDateW_name_,forceUpToDateW_default_);
Teuchos::readVerboseObjectSublist(&*paramList,this);
}
template<class Scalar>
RCP<const Teuchos::ParameterList>
ForwardSensitivityStepper<Scalar>::getValidParameters() const
{
static RCP<const ParameterList> validPL;
if (is_null(validPL) ) {
RCP<ParameterList> pl = Teuchos::parameterList();
pl->set( forceUpToDateW_name_, forceUpToDateW_default_,
"If set to true, then the Jacobian matrix W used in the\n"
"state timestep equation will be forced to be up to date\n"
"with the final value for x for the nonlinear solve. If\n"
"you are willing to live with slightly less accurate sensitivities\n"
"then set this to false."
);
Teuchos::setupVerboseObjectSublist(&*pl);
validPL = pl;
}
return validPL;
}
// Overridden from StepperBase
template<class Scalar>
bool ForwardSensitivityStepper<Scalar>::acceptsModel() const
{
return false;
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::setModel(
const RCP<const Thyra::ModelEvaluator<Scalar> >& model
)
{
TEUCHOS_TEST_FOR_EXCEPT_MSG( true,
"Error, this stepper subclass does not accept a model"
" as defined by the StepperBase interface!");
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::setNonconstModel(
const RCP<Thyra::ModelEvaluator<Scalar> >& model
)
{
TEUCHOS_TEST_FOR_EXCEPT_MSG( true,
"Error, this stepper subclass does not accept a model"
" as defined by the StepperBase interface!");
}
template<class Scalar>
RCP<const Thyra::ModelEvaluator<Scalar> >
ForwardSensitivityStepper<Scalar>::getModel() const
{
return stateAndSensModel_;
}
template<class Scalar>
RCP<Thyra::ModelEvaluator<Scalar> >
ForwardSensitivityStepper<Scalar>::getNonconstModel()
{
return stateAndSensModel_;
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::setInitialCondition(
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &state_and_sens_ic
)
{
typedef Thyra::ModelEvaluatorBase MEB;
stateAndSensBasePoint_ = state_and_sens_ic;
// Get the product vectors for x_bar = [ x; s_bar ] and x_bar_dot
TEUCHOS_TEST_FOR_EXCEPTION(
is_null(state_and_sens_ic.get_x()), std::logic_error,
"Error, the initial condition for x_bar = [ x; s_bar ] can not be null!" );
const RCP<const Thyra::ProductVectorBase<Scalar> >
x_bar_init = Thyra::productVectorBase<Scalar>(
state_and_sens_ic.get_x()
);
RCP<const Thyra::ProductVectorBase<Scalar> > x_bar_dot_init;
if (state_and_sens_ic.supports(MEB::IN_ARG_x_dot)) {
x_bar_dot_init = Thyra::productVectorBase<Scalar>(
state_and_sens_ic.get_x_dot()
);
}
// Remove x and x_dot from state_and_sens_ic_in to avoid cloning x and x dot!
Thyra::ModelEvaluatorBase::InArgs<Scalar>
state_and_sens_ic_no_x = state_and_sens_ic;
state_and_sens_ic_no_x.set_x(Teuchos::null);
if (state_and_sens_ic_no_x.supports(MEB::IN_ARG_x_dot)) {
state_and_sens_ic_no_x.set_x_dot(Teuchos::null);
}
// Set initial condition for the state
MEB::InArgs<Scalar> state_ic = stateModel_->createInArgs();
state_ic.setArgs(state_and_sens_ic_no_x,true,true); // Set time, parameters etc.
state_ic.set_x(x_bar_init->getVectorBlock(0)->clone_v());
if (state_ic.supports(MEB::IN_ARG_x_dot)) {
state_ic.set_x_dot(
!is_null(x_bar_dot_init)
? x_bar_dot_init->getVectorBlock(0)->clone_v()
: Teuchos::null
);
}
stateStepper_->setInitialCondition(state_ic);
// Set up the integrator if needed
//if (!is_null(stateIntegrator_)) {
// stateIntegrator_->setStepper( stateStepper_, finalTime_ );
// sensModel_->setStateIntegrator( stateIntegrator_, state_ic );
//}
// Set initial condition for the sensitivities
MEB::InArgs<Scalar> sens_ic = sensModel_->createInArgs();
sens_ic.setArgs(state_and_sens_ic_no_x,true,true); // Set time etc.
sens_ic.set_x(x_bar_init->getVectorBlock(1)->clone_v());
if (sens_ic.supports(MEB::IN_ARG_x_dot)) {
sens_ic.set_x_dot(
!is_null(x_bar_dot_init)
? x_bar_dot_init->getVectorBlock(1)->clone_v()
: Teuchos::null
);
}
sensStepper_->setInitialCondition(sens_ic);
}
template<class Scalar>
Thyra::ModelEvaluatorBase::InArgs<Scalar>
ForwardSensitivityStepper<Scalar>::getInitialCondition() const
{
return stateAndSensBasePoint_;
}
template<class Scalar>
Scalar
ForwardSensitivityStepper<Scalar>::takeStep(
Scalar dt, StepSizeType stepType
)
{
RYTHMOS_FUNC_TIME_MONITOR("Rythmos:ForwardSensitivityStepper::takeStep");
if (!is_null(stateIntegrator_)) {
return takeDecoupledStep(dt,stepType);
}
return takeSyncedStep(dt,stepType);
}
template<class Scalar>
const StepStatus<Scalar>
ForwardSensitivityStepper<Scalar>::getStepStatus() const
{
const StepStatus<Scalar> sensStepStatus = sensStepper_->getStepStatus();
StepStatus<Scalar> stepStatus;
stepStatus.message = sensStepStatus.message;
stepStatus.stepStatus = sensStepStatus.stepStatus;
stepStatus.stepLETStatus = sensStepStatus.stepLETStatus;
stepStatus.stepSize = sensStepStatus.stepSize;
stepStatus.order = sensStepStatus.order;
stepStatus.time = sensStepStatus.time;
stepStatus.stepLETValue = sensStepStatus.stepLETValue;
stepStatus.extraParameters = sensStepStatus.extraParameters;
if (is_null(stateIntegrator_)) {
const StepStatus<Scalar>
stateStepStatus = stateStepper_->getStepStatus();
if (!is_null(stateStepStatus.solution) && !is_null(sensStepStatus.solution))
stepStatus.solution = stateAndSensModel_->create_x_bar_vec(
stateStepStatus.solution, sensStepStatus.solution
);
if (!is_null(stateStepStatus.solutionDot) && !is_null(sensStepStatus.solutionDot))
stepStatus.solutionDot = stateAndSensModel_->create_x_bar_vec(
stateStepStatus.solutionDot, sensStepStatus.solutionDot
);
}
return stepStatus;
}
// Overridden from InterpolationBufferBase
template<class Scalar>
RCP<const Thyra::VectorSpaceBase<Scalar> >
ForwardSensitivityStepper<Scalar>::get_x_space() const
{
return stateAndSensModel_->get_x_space();
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::addPoints(
const Array<Scalar>& time_vec,
const Array<Teuchos::RCP<const Thyra::VectorBase<Scalar> > >& x_vec,
const Array<Teuchos::RCP<const Thyra::VectorBase<Scalar> > >& xdot_vec
)
{
TEUCHOS_TEST_FOR_EXCEPT("Not implemented addPoints(...) yet but we could if we wanted!");
}
template<class Scalar>
TimeRange<Scalar>
ForwardSensitivityStepper<Scalar>::getTimeRange() const
{
return sensStepper_->getTimeRange();
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::getPoints(
const Array<Scalar>& time_vec,
Array<RCP<const Thyra::VectorBase<Scalar> > >* x_bar_vec,
Array<RCP<const Thyra::VectorBase<Scalar> > >* x_bar_dot_vec,
Array<ScalarMag>* accuracy_vec
) const
{
using Teuchos::as;
#ifdef HAVE_RYTHMOS_DEBUG
TEUCHOS_TEST_FOR_EXCEPT( as<int>(time_vec.size()) == 0 );
#endif
const int numTimePoints = time_vec.size();
if (x_bar_vec)
x_bar_vec->clear();
if (x_bar_dot_vec)
x_bar_dot_vec->clear();
Array<RCP<const Thyra::VectorBase<Scalar> > >
x_vec, x_dot_vec;
if (!is_null(stateIntegrator_)) {
stateIntegrator_->getPoints(
time_vec,
x_bar_vec ? &x_vec: 0,
x_bar_dot_vec ? &x_dot_vec: 0,
0 // Ignoring accuracy from state for now!
);
}
else {
stateStepper_->getPoints(
time_vec,
x_bar_vec ? &x_vec: 0,
x_bar_dot_vec ? &x_dot_vec: 0,
0 // Ignoring accuracy from state for now!
);
}
Array<RCP<const Thyra::VectorBase<Scalar> > >
s_bar_vec, s_bar_dot_vec;
sensStepper_->getPoints(
time_vec,
x_bar_vec ? &s_bar_vec: 0,
x_bar_dot_vec ? &s_bar_dot_vec: 0,
accuracy_vec
);
if ( x_bar_vec ) {
for ( int i = 0; i < numTimePoints; ++i ) {
x_bar_vec->push_back(
stateAndSensModel_->create_x_bar_vec(x_vec[i],s_bar_vec[i])
);
}
}
if ( x_bar_dot_vec ) {
for ( int i = 0; i < numTimePoints; ++i ) {
x_bar_dot_vec->push_back(
stateAndSensModel_->create_x_bar_vec(x_dot_vec[i],s_bar_dot_vec[i])
);
}
}
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::getNodes(
Array<Scalar>* time_vec
) const
{
TEUCHOS_ASSERT( time_vec != NULL );
time_vec->clear();
if (is_null(stateIntegrator_) && is_null(stateStepper_)) {
return;
}
if (!is_null(stateIntegrator_)) {
stateIntegrator_->getNodes(time_vec);
}
else {
stateStepper_->getNodes(time_vec);
}
}
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::removeNodes(
Array<Scalar>& time_vec
)
{
TEUCHOS_TEST_FOR_EXCEPT("Not implemented yet but we can!");
}
template<class Scalar>
int ForwardSensitivityStepper<Scalar>::getOrder() const
{
return sensStepper_->getOrder();
// Note: This assumes that stateStepper will have the same order!
}
// private
template<class Scalar>
void ForwardSensitivityStepper<Scalar>::initializeCommon(
const RCP<const Thyra::ModelEvaluator<Scalar> >& stateModel,
const int p_index,
const RCP<const Thyra::VectorSpaceBase<Scalar> > &p_space,
const Thyra::ModelEvaluatorBase::InArgs<Scalar> &stateBasePoint,
const RCP<StepperBase<Scalar> > &stateStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &stateTimeStepSolver,
const RCP<StepperBase<Scalar> > &sensStepper,
const RCP<Thyra::NonlinearSolverBase<Scalar> > &sensTimeStepSolver
)
{
using Teuchos::rcp_implicit_cast;
using Teuchos::rcp_dynamic_cast;
typedef Thyra::ModelEvaluatorBase MEB;
//
// Validate input
//
TEUCHOS_ASSERT( p_index >= 0 || nonnull(p_space) );
if (nonnull(p_space)) {
TEUCHOS_ASSERT_EQUALITY(p_index, -1);
}
if (p_index >= 0) {
TEUCHOS_ASSERT(is_null(p_space));
}
TEUCHOS_TEST_FOR_EXCEPT( is_null(stateModel) );
TEUCHOS_TEST_FOR_EXCEPT( is_null(stateStepper) );
if (stateStepper->isImplicit()) {
TEUCHOS_TEST_FOR_EXCEPT( is_null(stateTimeStepSolver) ); // allow to be null for explicit methods
}
//
// Create the sensModel which will do some more validation
//
RCP<ForwardSensitivityModelEvaluatorBase<Scalar> > sensModel;
MEB::InArgs<Scalar> stateModelInArgs = stateModel->createInArgs();
if (stateModelInArgs.supports(MEB::IN_ARG_x_dot)) {
// Implicit DE formulation
sensModel = Teuchos::rcp(new ForwardSensitivityImplicitModelEvaluator<Scalar>);
}
else {
// Explicit DE formulation
sensModel = Teuchos::rcp(new ForwardSensitivityExplicitModelEvaluator<Scalar>);
}
if (p_index >= 0) {
sensModel->initializeStructure(stateModel, p_index);
}
else {
sensModel->initializeStructureInitCondOnly(stateModel, p_space);
}
//
// Get the input objects
//
stateModel_.initialize(stateModel);
stateBasePoint_ = stateBasePoint;
stateStepper_ = stateStepper;
stateTimeStepSolver_ = stateTimeStepSolver;
sensModel_ = sensModel;
stateAndSensModel_ = Teuchos::rcp(new StateAndForwardSensitivityModelEvaluator<Scalar>);
stateAndSensModel_->initializeStructure(sensModel_);
if (!is_null(sensStepper)) {
sensStepper_ = sensStepper;
}
else {
sensStepper_ = stateStepper_->cloneStepperAlgorithm();
TEUCHOS_TEST_FOR_EXCEPTION(
is_null(sensStepper_), std::logic_error,
"Error, if the client does not pass in a stepper for the senitivity\n"
"equations then the stateStepper object must support cloning to create\n"
"the sensitivity stepper!"
);
}
if (!is_null(sensTimeStepSolver)) {
sensTimeStepSolver_ = sensTimeStepSolver;
}
else {
RCP<Thyra::LinearNonlinearSolver<Scalar> >
linearNonlinearSolver(new Thyra::LinearNonlinearSolver<Scalar>);
// ToDo: Set tolerance on the nonlinear solver???
sensTimeStepSolver_ = linearNonlinearSolver;
}
//
// Setup the steppers
//
isSingleResidualStepper_ = true; // ToDo: Add dynamic cast on
// stateTimeStepSolver to check this!
setStepperModel(Teuchos::inOutArg(*stateStepper_),stateModel_);
if (stateStepper_->isImplicit()) {
rcp_dynamic_cast<SolverAcceptingStepperBase<Scalar> >(
stateStepper_,true)->setSolver(stateTimeStepSolver_);
}
sensStepper_->setModel(sensModel_);
if (sensStepper_->isImplicit()) {
rcp_dynamic_cast<SolverAcceptingStepperBase<Scalar> >(
sensStepper_,true)->setSolver(sensTimeStepSolver_);
}
stateBasePoint_t_ = stateModel_->createInArgs();
// 2007/05/18: rabartl: ToDo: Move the above initialization code to give
// setInitializeCondition(...) a chance to set the initial condition.
}
template<class Scalar>
Scalar ForwardSensitivityStepper<Scalar>::takeSyncedStep(
Scalar dt, StepSizeType stepType
)
{
RYTHMOS_FUNC_TIME_MONITOR_DIFF("Rythmos:ForwardSensitivityStepper::takeStep: synced",
TopLevel);
using Teuchos::as;
typedef Teuchos::ScalarTraits<Scalar> ST;
typedef Teuchos::VerboseObjectTempState<InterpolationBufferBase<Scalar> > VOTSIBB;
RCP<Teuchos::FancyOStream> out = this->getOStream();
Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
const bool lowTrace =
( !is_null(out) && as<int>(verbLevel) >= as<int>(Teuchos::VERB_LOW) );
const bool mediumTrace =
( !is_null(out) && as<int>(verbLevel) >= as<int>(Teuchos::VERB_MEDIUM) );
Teuchos::OSTab tab(out);
if (lowTrace) {
*out
<< "\nEntering " << TypeNameTraits<ForwardSensitivityStepper<Scalar> >::name()
<< "::takeSyncedStep("<<dt<<","<<toString(stepType)<<") ...\n";
}
//
// A) Compute the state timestep
//
if (lowTrace) {
*out
<< "\nTaking state step using stepper : "
<< stateStepper_->description() << "\n";
}
Scalar state_dt = -1.0;
{
RYTHMOS_FUNC_TIME_MONITOR("Rythmos:ForwardSensitivityStepper::takeStep: stateStep");
VOTSIBB stateStepper_outputTempState(stateStepper_,out,verbLevel);
state_dt = stateStepper_->takeStep(dt,stepType);
}
if (state_dt < Scalar(-ST::one())) {
if (lowTrace)
*out << "\nThe state stepper has failed so return a failed timestep!\n";
return state_dt;
}
{
RYTHMOS_FUNC_TIME_MONITOR("Rythmos:ForwardSensitivityStepper::takeStep: updateSensModel");
// Set up the sensitivity model for this timestep
sensModel_->initializePointState(Teuchos::inOutArg(*stateStepper_),forceUpToDateW_);
}
//
// C) Compute the sensitivity timestep for the exact same timestep as was
// used for the state solve.
//
if (lowTrace) {
*out
<< "\nTaking sensitivity step using stepper : "
<< sensStepper_->description() << "\n";
}
Scalar sens_dt = -1.0;
{
RYTHMOS_FUNC_TIME_MONITOR("Rythmos:ForwardSensitivityStepper::takeStep: sensStep");
// Copy the step control data to make sure that the sensStepper takes the
// same type of step that the statStepper took. This is needed to ensure
// that the W matrix is the same for one.
sensStepper_->setStepControlData(*stateStepper_);
VOTSIBB sensStepper_outputTempState(sensStepper_,out,verbLevel);
sens_dt = sensStepper_->takeStep(state_dt,STEP_TYPE_FIXED);
}
if (mediumTrace) {
const StepStatus<Scalar> sensStepStatus = sensStepper_->getStepStatus();
*out << "\nSensitivity step status:\n" << sensStepStatus;
}
TEUCHOS_TEST_FOR_EXCEPTION(
sens_dt != state_dt, std::logic_error,
"Error, the sensitivity step failed for some reason. We should\n"
"just return a negative step size and reject the step but currently\n"
"there is no way to roll back the state timestep it for back to\n"
"the status before this function was called!"
);
// 2007/05/18: rabartl: ToDo: If stepType == STEP_TYPE_VARIABLE and the state
// timestep sucessed but the sensitivity timestep failed, then we need to
// really throw an excpetion because there is nothing that we can really do
// here!
// 2007/05/18: rabartl: ToDo: Replace the above std::logic_error type with
// a Rythmos::CatastrophicFailure or just use Thyra::CatastrophicFailure!
if (lowTrace) {
*out
<< "\nLeaving " << TypeNameTraits<ForwardSensitivityStepper<Scalar> >::name()
<< "::takeSyncedStep("<<dt<<","<<toString(stepType)<<") ...\n";
}
return state_dt;
}
template<class Scalar>
Scalar ForwardSensitivityStepper<Scalar>::takeDecoupledStep(
Scalar dt, StepSizeType stepType
)
{
RYTHMOS_FUNC_TIME_MONITOR("Rythmos:ForwardSensitivityStepper::takeStep: decoupled");
using Teuchos::as;
typedef Teuchos::VerboseObjectTempState<InterpolationBufferBase<Scalar> > VOTSIBB;
RCP<Teuchos::FancyOStream> out = this->getOStream();
Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
const bool lowTrace =
( !is_null(out) && as<int>(verbLevel) >= as<int>(Teuchos::VERB_LOW) );
const bool mediumTrace =
( !is_null(out) && as<int>(verbLevel) >= as<int>(Teuchos::VERB_MEDIUM) );
Teuchos::OSTab tab(out);
if (lowTrace) {
*out
<< "\nEntering " << TypeNameTraits<ForwardSensitivityStepper<Scalar> >::name()
<< "::takeDecoupledStep("<<dt<<","<<toString(stepType)<<") ...\n";
}
//
// A) Take the sens timestep
//
if (lowTrace) {
*out
<< "\nTaking sensitivity step using stepper : "
<< sensStepper_->description() << "\n";
}
Scalar sens_dt = -1.0;
VOTSIBB sensStepper_outputTempState(sensStepper_,out,verbLevel);
sens_dt = sensStepper_->takeStep(dt,stepType);
if (mediumTrace) {
const StepStatus<Scalar> sensStepStatus = sensStepper_->getStepStatus();
*out << "\nSensitivity step status:\n" << sensStepStatus;
}
//
// B) Wipe out all state interp buffer info before this sens timestep
//
//TEUCHOS_TEST_FOR_EXCEPT(true);
if (lowTrace) {
*out
<< "\nLeaving " << TypeNameTraits<ForwardSensitivityStepper<Scalar> >::name()
<< "::takeDecoupledStep("<<dt<<","<<toString(stepType)<<") ...\n";
}
return sens_dt;
}
} // namespace Rythmos
#endif //RYTHMOS_FORWARD_SENSITIVITY_STEPPER_HPP
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