#include <Thyra_DefaultInverseModelEvaluator.hpp>
Inheritance diagram for Thyra::DefaultInverseModelEvaluator< Scalar >:

Constructors/initializers/accessors/utilities. | |
| DefaultInverseModelEvaluator () | |
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| void | initialize (const RCP< ModelEvaluator< Scalar > > &thyraModel) |
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| void | uninitialize (RCP< ModelEvaluator< Scalar > > *thyraModel) |
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Overridden from ParameterListAcceptor | |
| void | setParameterList (RCP< Teuchos::ParameterList > const ¶mList) |
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| RCP< Teuchos::ParameterList > | getNonconstParameterList () |
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| RCP< Teuchos::ParameterList > | unsetParameterList () |
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| RCP< const Teuchos::ParameterList > | getParameterList () const |
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| RCP< const Teuchos::ParameterList > | getValidParameters () const |
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Public functions overridden from Teuchos::Describable. | |
| std::string | description () const |
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Public functions overridden from ModelEvaulator. | |
| RCP< const VectorSpaceBase< Scalar > > | get_p_space (int l) const |
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| RCP< const VectorSpaceBase< Scalar > > | get_g_space (int j) const |
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| ModelEvaluatorBase::InArgs< Scalar > | createInArgs () const |
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Public Member Functions | |
| STANDARD_CONST_COMPOSITION_MEMBERS (VectorBase< Scalar >, observationTarget) | |
Observation target vector ot. | |
| STANDARD_CONST_COMPOSITION_MEMBERS (VectorBase< Scalar >, parameterBase) | |
Parameter base vector pt. | |
| STANDARD_CONST_COMPOSITION_MEMBERS (LinearOpBase< Scalar >, observationMatchWeightingOp) | |
Observation match weighting operator Q_o. | |
| STANDARD_CONST_COMPOSITION_MEMBERS (LinearOpBase< Scalar >, parameterRegularizationWeightingOp) | |
Parameter regulization weighting operator Q_p. | |
| STANDARD_NONCONST_COMPOSITION_MEMBERS (MultiVectorFileIOBase< Scalar >, observationTargetIO) | |
MultiVectorFileIOBase object used to read the observation target vector ot as directed by the parameter list. | |
| STANDARD_NONCONST_COMPOSITION_MEMBERS (MultiVectorFileIOBase< Scalar >, parameterBaseIO) | |
MultiVectorFileIOBase object used to read the parameter base vector pt as directed by the parameter list. | |
Related Functions | |
| (Note that these are not member functions.) | |
| RCP< DefaultInverseModelEvaluator< Scalar > > | defaultInverseModelEvaluator (const RCP< ModelEvaluator< Scalar > > &thyraModel) |
| Non-member constructor. | |
The following response function is added to the end of the supported response functions:
g_inv(x,p)
= g_(getUnderlyingModel()->Ng())(x,p,...)
= observationMultiplier * observationMatch(x,p)
+ parameterMultiplier * parameterRegularization(p)
where observationMatch(x,p) is some scalar-valued function that gives the match of some state observation, parameterRegularization(p) is some scaled valued function that regularizes the parameters, and observationMultiplier and parameterMultiplier are scalar constant multipliers for the state observation and the parameter regularization respectively.
The state observation matching function and the parameter regularization function can be defined in one of two ways.
If a symmetric positive definite linear operator Q_o is defined, then the state observation matching function is given as:
observationMatch(x,p) = 0.5 * diff_o(x,p)^T * Q_o * diff_o(x,p)
and if Q_o is not defined, then the state observation matching function is given as:
observationMatch(x,p) = (0.5/no) * diff_o(x,p)^T * diff_o(x,p)
where
diff_o(x,p) = o(x,p) - ot
where ot is the target vector for some observation (see below) and p is one of the parameter subvectors supported by the underlying model.
The observation function o(x,p) can be the state vector itself o(x,p) = x for obs_idx < 0, or can be any of the built-in response functions o(x,p) = g(obs_idx)(x,p) when 0 <= obs_idx < getUnderlyingModel()->Ng().
The parameter regularization function also has one of two definitions.
If a symmetric positive definite linear operator Q_p is defined, then the parameter regularization function is given as:
parameterRegularization(p) = 0.5 * diff_p(p)^T * Q_p * diff_p(p)
and if Q_p is not defined, then the parameter regularization function is given as:
parameterRegularization(p) = (0.5/np) * diff_p(p)^T * diff_p(p)
where
diff_p(p) = p - pt
where pt is a nomial parameter vector for which violations are penalized against.
Since this decorator class adds a response function, then this->Ng() == getUnderlyingModel()->Ng() + 1.
Let's consider the derivatives of this inverse function.
The first derivatives are given by:
d(g_inv)/d(x) = observationMultiplier * d(observationMatch)/d(x)
d(g_inv)/d(p) = observationMultiplier * d(observationMatch)/d(p)
+ parameterMultiplier * d(parameterRegularization)/d(p)
where the derivatives of observationMatch(x,p) and parameterRegularization(p) are given by:
/ diff_o(x,p)^T * Q_o * d(o)/d(x) : Q_o defined
d(observationMatch)/d(x) = |
\ (1/no) * diff_o(x,p)^T * d(o)/d(x) : Q_o not defined
/ diff_o(x,p)^T * Q_o * d(o)/d(p) : Q_o defined
d(observationMatch)/d(p) = |
\ (1/no) * diff_o(x,p)^T * d(o)/d(p) : Q_o not defined
/ diff_p(p)^T * Q_p : Q_p defined
d(parameterRegularization)/d(p) = |
\ (1/np) * diff_p(p)^T : Q_p not defined
Of course when obs_idx < -1 where o(x,p) = x then d(o)/d(x) = I and d(o)/d(p) = 0 which also gives d(observationMatch)/d(p) = 0.
Also, we typically want these derivatives in gradient form which gives:
d(g_inv)/d(x)^T = observationMultiplier * d(observationMatch)/d(x)^T
d(g_inv)/d(p)^T = observationMultiplier * d(observationMatch)/d(p)^T
+ parameterMultiplier * d(parameterRegularization)/d(p)^T
/ d(o)/d(x)^T * Q_o * diff_o(x,p) : Q_o defined
d(observationMatch)/d(x)^T = |
\ (1/no) * d(o)/d(x)^T * diff_o(x,p) : Q_o not defined
/ d(o)/d(p)^T * Q_o * diff_o(x,p) : Q_o defined
d(observationMatch)/d(p)^T = |
\ (1/no) * d(o)/d(p)^T * diff_o(x,p) : Q_o not defined
/ Q_p * diff_p(p) : Q_p defined
d(parameterRegularization)/d(p)^T = |
\ (1/np) * diff_p(p) : Q_p not defined
When obs_idx >= 0, this implementation currently requires that (DoDx^T) and (DoDp^T) be computed and returned by the underlying model as multi-vector objects. In the future, we really only need the action of DoDx^T and DoDp^T onto vectors as shown above.
Another feature supported by this class is the ability to tack on parameter regularization to an existing response function. This mode is enabled by setting the parameter "Observation Pass Through" to true. This results in the observation matching term to be defined as:
observationMatch(x,p) = o(x,p)
and has the derivatives:
d(observationMatch)/d(x)^T = d(o)/d(x)^T d(observationMatch)/d(p)^T = d(o)/d(p)^ T
Everything else about the above discussion.
Note: In this case, of course, the observation response function must have dimension 1.
Definition at line 246 of file Thyra_DefaultInverseModelEvaluator.hpp.
| Thyra::DefaultInverseModelEvaluator< Scalar >::DefaultInverseModelEvaluator | ( | ) |
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_CONST_COMPOSITION_MEMBERS | ( | VectorBase< Scalar > | , | |
| observationTarget | ||||
| ) |
Observation target vector ot.
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_CONST_COMPOSITION_MEMBERS | ( | VectorBase< Scalar > | , | |
| parameterBase | ||||
| ) |
Parameter base vector pt.
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_CONST_COMPOSITION_MEMBERS | ( | LinearOpBase< Scalar > | , | |
| observationMatchWeightingOp | ||||
| ) |
Observation match weighting operator Q_o.
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_CONST_COMPOSITION_MEMBERS | ( | LinearOpBase< Scalar > | , | |
| parameterRegularizationWeightingOp | ||||
| ) |
Parameter regulization weighting operator Q_p.
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_NONCONST_COMPOSITION_MEMBERS | ( | MultiVectorFileIOBase< Scalar > | , | |
| observationTargetIO | ||||
| ) |
MultiVectorFileIOBase object used to read the observation target vector ot as directed by the parameter list.
| Thyra::DefaultInverseModelEvaluator< Scalar >::STANDARD_NONCONST_COMPOSITION_MEMBERS | ( | MultiVectorFileIOBase< Scalar > | , | |
| parameterBaseIO | ||||
| ) |
MultiVectorFileIOBase object used to read the parameter base vector pt as directed by the parameter list.
| void Thyra::DefaultInverseModelEvaluator< Scalar >::initialize | ( | const RCP< ModelEvaluator< Scalar > > & | thyraModel | ) |
Reimplemented from Thyra::ModelEvaluatorDelegatorBase< Scalar >.
Definition at line 533 of file Thyra_DefaultInverseModelEvaluator.hpp.
| void Thyra::DefaultInverseModelEvaluator< Scalar >::uninitialize | ( | RCP< ModelEvaluator< Scalar > > * | thyraModel | ) |
| void Thyra::DefaultInverseModelEvaluator< Scalar >::setParameterList | ( | RCP< Teuchos::ParameterList > const & | paramList | ) |
Note that observationTargetIO() and parameterBaseIO() must be set before calling this function in order to use the parameter sublist to read in the vectors observationTarget() and parameterBase().
Definition at line 559 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< Teuchos::ParameterList > Thyra::DefaultInverseModelEvaluator< Scalar >::getNonconstParameterList | ( | ) | [virtual] |
Implements Teuchos::ParameterListAcceptor.
Definition at line 652 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< Teuchos::ParameterList > Thyra::DefaultInverseModelEvaluator< Scalar >::unsetParameterList | ( | ) | [virtual] |
Implements Teuchos::ParameterListAcceptor.
Definition at line 660 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< const Teuchos::ParameterList > Thyra::DefaultInverseModelEvaluator< Scalar >::getParameterList | ( | ) | const [virtual] |
Reimplemented from Teuchos::ParameterListAcceptor.
Definition at line 670 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< const Teuchos::ParameterList > Thyra::DefaultInverseModelEvaluator< Scalar >::getValidParameters | ( | ) | const [virtual] |
Note that observationTargetIO() and parameterBaseIO() must be set before calling this function in order to have the sublists added that will allow the vectors observationTarget() and parameterBase() to be read in latter when the parameter list is set..
Reimplemented from Teuchos::ParameterListAcceptor.
Definition at line 678 of file Thyra_DefaultInverseModelEvaluator.hpp.
| std::string Thyra::DefaultInverseModelEvaluator< Scalar >::description | ( | ) | const [virtual] |
Reimplemented from Teuchos::Describable.
Definition at line 765 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< const VectorSpaceBase< Scalar > > Thyra::DefaultInverseModelEvaluator< Scalar >::get_p_space | ( | int | l | ) | const [virtual] |
Reimplemented from Thyra::ModelEvaluatorDelegatorBase< Scalar >.
Definition at line 729 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< const VectorSpaceBase< Scalar > > Thyra::DefaultInverseModelEvaluator< Scalar >::get_g_space | ( | int | j | ) | const [virtual] |
Reimplemented from Thyra::ModelEvaluatorDelegatorBase< Scalar >.
Definition at line 741 of file Thyra_DefaultInverseModelEvaluator.hpp.
| ModelEvaluatorBase::InArgs< Scalar > Thyra::DefaultInverseModelEvaluator< Scalar >::createInArgs | ( | ) | const [virtual] |
Reimplemented from Thyra::ModelEvaluatorDelegatorBase< Scalar >.
Definition at line 753 of file Thyra_DefaultInverseModelEvaluator.hpp.
| RCP< DefaultInverseModelEvaluator< Scalar > > defaultInverseModelEvaluator | ( | const RCP< ModelEvaluator< Scalar > > & | thyraModel | ) | [related] |
1.4.7