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Ifpack_ex_BlockRelaxation_LL.cpp
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28 
29 #include "Ifpack_ConfigDefs.h"
30 
31 #ifdef HAVE_MPI
32 #include "Epetra_MpiComm.h"
33 #else
34 #include "Epetra_SerialComm.h"
35 #endif
36 #include "Epetra_CrsMatrix.h"
37 #include "Epetra_MultiVector.h"
38 #include "Epetra_LinearProblem.h"
39 #include "Galeri_Maps.h"
40 #include "Galeri_CrsMatrices.h"
41 #include "Teuchos_ParameterList.hpp"
42 #include "Teuchos_RefCountPtr.hpp"
43 #include "AztecOO.h"
44 #include "Ifpack_AdditiveSchwarz.h"
45 #include "Ifpack_PointRelaxation.h"
46 #include "Ifpack_BlockRelaxation.h"
47 #include "Ifpack_SparseContainer.h"
48 #include "Ifpack_Amesos.h"
49 
50 int main(int argc, char *argv[])
51 {
52  // initialize MPI and Epetra communicator
53 #ifdef HAVE_MPI
54  MPI_Init(&argc,&argv);
55  Epetra_MpiComm Comm( MPI_COMM_WORLD );
56 #else
57  Epetra_SerialComm Comm;
58 #endif
59 
60  Teuchos::ParameterList GaleriList;
61 
62  // The problem is defined on a 2D grid, global size is nx * nx.
63  int nx = 30;
64  GaleriList.set("nx", nx);
65  GaleriList.set("ny", nx * Comm.NumProc());
66  GaleriList.set("mx", 1);
67  GaleriList.set("my", Comm.NumProc());
68  Teuchos::RefCountPtr<Epetra_Map> Map = Teuchos::rcp( Galeri::CreateMap64("Cartesian2D", Comm, GaleriList) );
69  Teuchos::RefCountPtr<Epetra_RowMatrix> A = Teuchos::rcp( Galeri::CreateCrsMatrix("Laplace2D", &*Map, GaleriList) );
70 
71  // =============================================================== //
72  // B E G I N N I N G O F I F P A C K C O N S T R U C T I O N //
73  // =============================================================== //
74 
76 
77  // builds an Ifpack_AdditiveSchwarz. This is templated with
78  // the local solvers, in this case Ifpack_BlockRelaxation.
79  // Ifpack_BlockRelaxation requires as a templated a container
80  // class. A container defines
81  // how to store the diagonal blocks. Two choices are available:
82  // Ifpack_DenseContainer (to store them as dense block,
83  // than use LAPACK' factorization to apply the inverse of
84  // each block), of Ifpack_SparseContainer (to store
85  // the diagonal block as Epetra_CrsMatrix's).
86  //
87  // Here, we use Ifpack_SparseContainer, which in turn is
88  // templated with the class to use to apply the inverse
89  // of each block. For example, we can use Ifpack_Amesos.
90 
91  // We still have to decide the overlap among the processes,
92  // and the overlap among the blocks. The two values
93  // can be different. The overlap among the blocks is
94  // considered only if block Jacobi is used.
95  int OverlapProcs = 2;
96  int OverlapBlocks = 0;
97 
98  // define the block below to use dense containers
99 #if 0
101 #else
103 #endif
104 
105  List.set("relaxation: type", "symmetric Gauss-Seidel");
106  List.set("partitioner: overlap", OverlapBlocks);
107 #ifdef HAVE_IFPACK_METIS
108  // use METIS to create the blocks. This requires --enable-ifpack-metis.
109  // If METIS is not installed, the user may select "linear".
110  List.set("partitioner: type", "metis");
111 #else
112  // or a simple greedy algorithm is METIS is not enabled
113  List.set("partitioner: type", "greedy");
114 #endif
115  // defines here the number of local blocks. If 1,
116  // and only one process is used in the computation, then
117  // the preconditioner must converge in one iteration.
118  List.set("partitioner: local parts", 4);
119 
120  // sets the parameters
121  IFPACK_CHK_ERR(Prec.SetParameters(List));
122 
123  // initialize the preconditioner.
124  IFPACK_CHK_ERR(Prec.Initialize());
125 
126  // Builds the preconditioners.
127  IFPACK_CHK_ERR(Prec.Compute());
128 
129  // =================================================== //
130  // E N D O F I F P A C K C O N S T R U C T I O N //
131  // =================================================== //
132 
133  // At this point, we need some additional objects
134  // to define and solve the linear system.
135 
136  // defines LHS and RHS
137  Epetra_Vector LHS(A->OperatorDomainMap());
138  Epetra_Vector RHS(A->OperatorDomainMap());
139 
140  LHS.PutScalar(0.0);
141  RHS.Random();
142 
143  // need an Epetra_LinearProblem to define AztecOO solver
144  Epetra_LinearProblem Problem(&*A,&LHS,&RHS);
145 
146  // now we can allocate the AztecOO solver
147  AztecOO Solver(Problem);
148 
149  // specify solver
150  Solver.SetAztecOption(AZ_solver,AZ_cg);
151  Solver.SetAztecOption(AZ_output,32);
152 
153  // HERE WE SET THE IFPACK PRECONDITIONER
154  Solver.SetPrecOperator(&Prec);
155 
156  // .. and here we solve
157  // NOTE: with one process, the solver must converge in
158  // one iteration.
159  Solver.Iterate(1550,1e-5);
160 
161 #ifdef HAVE_MPI
162  MPI_Finalize() ;
163 #endif
164 
165  return(EXIT_SUCCESS);
166 }
ParameterList & set(std::string const &name, T &&value, std::string const &docString="", RCP< const ParameterEntryValidator > const &validator=null)
static bool Solver
Definition: performance.cpp:70
virtual int Initialize()
Initialized the preconditioner.
TEUCHOS_DEPRECATED RCP< T > rcp(T *p, Dealloc_T dealloc, bool owns_mem)
Ifpack_AdditiveSchwarz: a class to define Additive Schwarz preconditioners of Epetra_RowMatrix&#39;s.
int main(int argc, char *argv[])
int NumProc() const
virtual int SetParameters(Teuchos::ParameterList &List)
Sets the parameters.
virtual int Compute()
Computes the preconditioner.
#define IFPACK_CHK_ERR(ifpack_err)
#define RHS(a)
Definition: MatGenFD.c:60