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Stokhos_SGPreconditionerFactory.cpp
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41 
42 #include "Stokhos_ConfigDefs.h"
52 #include "Teuchos_Assert.hpp"
53 
56  params(params_)
57 {
58  prec_method = params->get("Preconditioner Method", "Mean-based");
59 }
60 
61 bool
64 {
65  return prec_method != "None";
66 }
67 
71  const Teuchos::RCP<const Stokhos::OrthogPolyBasis<int,double> >& sg_basis,
73  const Teuchos::RCP<const Epetra_Map>& base_map,
74  const Teuchos::RCP<const Epetra_Map>& sg_map)
75 {
77 
78  if (prec_method == "Mean-based") {
80  buildMeanPreconditionerFactory();
82  sg_comm, sg_basis, epetraCijk,
83  base_map, sg_map, prec_factory,
84  params));
85  }
86  else if (prec_method == "Approximate Gauss-Seidel") {
88  buildMeanPreconditionerFactory();
90  sg_comm, sg_basis, epetraCijk,
91  base_map, sg_map, prec_factory,
92  params));
93  }
94  else if (prec_method == "Approximate Jacobi") {
96  buildMeanPreconditionerFactory();
98  sg_comm, sg_basis, epetraCijk,
99  base_map, sg_map, prec_factory,
100  params));
101  }
102  else if (prec_method == "Approximate Schur Complement") {
104  buildMeanPreconditionerFactory();
106  sg_comm, sg_basis, epetraCijk,
107  base_map, sg_map, prec_factory,
108  params));
109  }
110 #ifdef HAVE_STOKHOS_NOX
111  else if (prec_method == "Gauss-Seidel") {
113  params->get< Teuchos::RCP<NOX::Epetra::LinearSystem> >("Deterministic Solver");
114  sg_prec = Teuchos::rcp(new Stokhos::GaussSeidelPreconditioner(
115  sg_comm, sg_basis, epetraCijk,
116  base_map, sg_map, det_solver,
117  params));
118  }
119 #endif
120  else if (prec_method == "Kronecker Product") {
122  buildMeanPreconditionerFactory();
123  std::string G_prec_name =
124  params->get("G Preconditioner Type", "Ifpack");
126  Teuchos::rcp(&(params->sublist("G Preconditioner Parameters")),false);
129  G_prec_params));
131  sg_comm, sg_basis, epetraCijk, base_map, sg_map,
132  mean_prec_factory, G_prec_factory, params));
133  }
134  else if (prec_method == "Fully Assembled") {
135  std::string prec_name =
136  params->get("Fully Assembled Preconditioner Type", "Ifpack");
138  Teuchos::rcp(&(params->sublist("Fully Assembled Preconditioner Parameters")),false);
140  Teuchos::rcp(new Stokhos::PreconditionerFactory(prec_name, prec_params));
142  prec_factory, params));
143  }
144  else if (prec_method == "None")
145  sg_prec = Teuchos::null;
146  else
147  TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error,
148  "Error! Unknown preconditioner method " << prec_method
149  << "." << std::endl);
150 
151  return sg_prec;
152 }
153 
157 {
158  std::string prec_name =
159  params->get("Mean Preconditioner Type", "Ifpack");
161  Teuchos::rcp(&params->sublist("Mean Preconditioner Parameters"),false);
162  return Teuchos::rcp(new Stokhos::PreconditionerFactory(prec_name,
163  precParams));
164 }
A stochastic preconditioner based on applying one iteration of approximate Gauss-Seidel.
A stochastic preconditioner based on applying two iterations of approximate Jacobi.
T & get(ParameterList &l, const std::string &name)
A stochastic preconditioner based on applying the inverse of the mean.
#define TEUCHOS_TEST_FOR_EXCEPTION(throw_exception_test, Exception, msg)
T * get() const
A stochastic preconditioner based on applying a preconditioner to the fully assembled operator...
TEUCHOS_DEPRECATED RCP< T > rcp(T *p, Dealloc_T dealloc, bool owns_mem)
virtual bool isPrecSupported() const
Return whether a preconditioner will be supported.
SGPreconditionerFactory(const Teuchos::RCP< Teuchos::ParameterList > &params)
Constructor.
virtual Teuchos::RCP< Stokhos::SGPreconditioner > build(const Teuchos::RCP< const EpetraExt::MultiComm > &sg_comm, const Teuchos::RCP< const Stokhos::OrthogPolyBasis< int, double > > &sg_basis, const Teuchos::RCP< const Stokhos::EpetraSparse3Tensor > &epetraCijk, const Teuchos::RCP< const Epetra_Map > &base_map, const Teuchos::RCP< const Epetra_Map > &sg_map)
Build preconditioner operator.
Teuchos::RCP< Teuchos::ParameterList > params
Preconditioner parameters.
Teuchos::RCP< Stokhos::AbstractPreconditionerFactory > buildMeanPreconditionerFactory()
Build preconditioner factory for mean.
An class for building preconditioners.
std::string prec_method
Preconditioner method.
A stochastic preconditioner based on applying the approximate Schur complement preconditioner as defi...
An Epetra operator representing applying the mean in a block stochastic Galerkin expansion.