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Stokhos::SGInverseModelEvaluator Class Reference

Nonlinear, inverse stochastic Galerkin ModelEvaluator. More...

#include <Stokhos_SGInverseModelEvaluator.hpp>

List of all members.

Public Member Functions

 SGInverseModelEvaluator (const Teuchos::RCP< EpetraExt::ModelEvaluator > &me, const Teuchos::Array< int > &sg_p_index_map, const Teuchos::Array< int > &sg_g_index_map, const Teuchos::Array< Teuchos::RCP< const Epetra_Map > > &base_g_maps)
Overridden from EpetraExt::ModelEvaluator .
Teuchos::RCP< const Epetra_Map > get_x_map () const
 Return solution vector map.
Teuchos::RCP< const Epetra_Map > get_f_map () const
 Return residual vector map.
Teuchos::RCP< const Epetra_Map > get_p_map (int l) const
 Return parameter vector map.
Teuchos::RCP< const Epetra_Map > get_g_map (int l) const
 Return response map.
Teuchos::RCP< const
Teuchos::Array< std::string > > 
get_p_names (int l) const
 Return array of parameter names.
Teuchos::RCP< const Epetra_Vector > get_p_init (int l) const
 Return initial parameters.
InArgs createInArgs () const
 Create InArgs.
OutArgs createOutArgs () const
 Create OutArgs.
void evalModel (const InArgs &inArgs, const OutArgs &outArgs) const
 Evaluate model on InArgs.

Protected Attributes

Teuchos::RCP
< EpetraExt::ModelEvaluator > 
me
 Underlying model evaluator.
Teuchos::Array< int > sg_p_index_map
 Mapping between stochastic block parameters and sg parameters.
Teuchos::Array< int > sg_g_index_map
 Mapping between stochastic block responses and sg responses.
Teuchos::Array< Teuchos::RCP
< const Epetra_Map > > 
base_g_maps
 Base maps of block g vectors.
int num_p
 Number of parameters.
int num_g
 Number of responses.
int num_p_sg
 Number of stochastic parameter vectors.
int num_g_sg
 Number of stochastic response vectors.

Detailed Description

Nonlinear, inverse stochastic Galerkin ModelEvaluator.

SGInverseModelEvaluator is an implementation of EpetraExt::ModelEvaluator that does the inverse of SGModelEvalutor, namely it takes SG versions of the p InArgs and g and dg/dp OutArgs, and converts them to block vectors that are passed to the underlying model evaluator. This allows block nonlinear problems to appear to SG problems.


The documentation for this class was generated from the following files:
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