xref: /petsc/include/petscmat.h (revision 2e7729f58b5451bb0bf4b49a70efaee73a32b7c6)
1 /*
2      Include file for the matrix component of PETSc
3 */
4 #ifndef __PETSCMAT_H
5 #define __PETSCMAT_H
6 #include "petscvec.h"
7 
8 /*S
9      Mat - Abstract PETSc matrix object
10 
11    Level: beginner
12 
13   Concepts: matrix; linear operator
14 
15 .seealso:  MatCreate(), MatType, MatSetType()
16 S*/
17 typedef struct _p_Mat*           Mat;
18 
19 /*J
20     MatType - String with the name of a PETSc matrix or the creation function
21        with an optional dynamic library name, for example
22        http://www.mcs.anl.gov/petsc/lib.a:mymatcreate()
23 
24    Level: beginner
25 
26 .seealso: MatSetType(), Mat, MatSolverPackage
27 J*/
28 #define MatType char*
29 #define MATSAME            "same"
30 #define MATMAIJ            "maij"
31 #define MATSEQMAIJ         "seqmaij"
32 #define MATMPIMAIJ         "mpimaij"
33 #define MATIS              "is"
34 #define MATAIJ             "aij"
35 #define MATSEQAIJ          "seqaij"
36 #define MATSEQAIJPTHREAD   "seqaijpthread"
37 #define MATAIJPTHREAD      "aijpthread"
38 #define MATMPIAIJ          "mpiaij"
39 #define MATAIJCRL          "aijcrl"
40 #define MATSEQAIJCRL       "seqaijcrl"
41 #define MATMPIAIJCRL       "mpiaijcrl"
42 #define MATAIJCUSP         "aijcusp"
43 #define MATSEQAIJCUSP      "seqaijcusp"
44 #define MATMPIAIJCUSP      "mpiaijcusp"
45 #define MATAIJCUSPARSE     "aijcusparse"
46 #define MATSEQAIJCUSPARSE  "seqaijcusparse"
47 #define MATMPIAIJCUSPARSE  "mpiaijcusparse"
48 #define MATAIJPERM         "aijperm"
49 #define MATSEQAIJPERM      "seqaijperm"
50 #define MATMPIAIJPERM      "mpiaijperm"
51 #define MATSHELL           "shell"
52 #define MATDENSE           "dense"
53 #define MATSEQDENSE        "seqdense"
54 #define MATMPIDENSE        "mpidense"
55 #define MATELEMENTAL       "elemental"
56 #define MATBAIJ            "baij"
57 #define MATSEQBAIJ         "seqbaij"
58 #define MATMPIBAIJ         "mpibaij"
59 #define MATMPIADJ          "mpiadj"
60 #define MATSBAIJ           "sbaij"
61 #define MATSEQSBAIJ        "seqsbaij"
62 #define MATMPISBAIJ        "mpisbaij"
63 #define MATSEQBSTRM        "seqbstrm"
64 #define MATMPIBSTRM        "mpibstrm"
65 #define MATBSTRM           "bstrm"
66 #define MATSEQSBSTRM       "seqsbstrm"
67 #define MATMPISBSTRM       "mpisbstrm"
68 #define MATSBSTRM          "sbstrm"
69 #define MATDAAD            "daad"
70 #define MATMFFD            "mffd"
71 #define MATNORMAL          "normal"
72 #define MATLRC             "lrc"
73 #define MATSCATTER         "scatter"
74 #define MATBLOCKMAT        "blockmat"
75 #define MATCOMPOSITE       "composite"
76 #define MATFFT             "fft"
77 #define MATFFTW            "fftw"
78 #define MATSEQCUFFT        "seqcufft"
79 #define MATTRANSPOSEMAT    "transpose"
80 #define MATSCHURCOMPLEMENT "schurcomplement"
81 #define MATPYTHON          "python"
82 #define MATHYPRESTRUCT     "hyprestruct"
83 #define MATHYPRESSTRUCT    "hypresstruct"
84 #define MATSUBMATRIX       "submatrix"
85 #define MATLOCALREF        "localref"
86 #define MATNEST            "nest"
87 #define MATIJ              "ij"
88 
89 /*J
90     MatSolverPackage - String with the name of a PETSc matrix solver type.
91 
92     For example: "petsc" indicates what PETSc provides, "superlu" indicates either
93        SuperLU or SuperLU_Dist etc.
94 
95 
96    Level: beginner
97 
98 .seealso: MatGetFactor(), Mat, MatSetType(), MatType
99 J*/
100 #define MatSolverPackage char*
101 #define MATSOLVERSPOOLES      "spooles"
102 #define MATSOLVERSUPERLU      "superlu"
103 #define MATSOLVERSUPERLU_DIST "superlu_dist"
104 #define MATSOLVERUMFPACK      "umfpack"
105 #define MATSOLVERCHOLMOD      "cholmod"
106 #define MATSOLVERESSL         "essl"
107 #define MATSOLVERLUSOL        "lusol"
108 #define MATSOLVERMUMPS        "mumps"
109 #define MATSOLVERPASTIX       "pastix"
110 #define MATSOLVERMATLAB       "matlab"
111 #define MATSOLVERPETSC        "petsc"
112 #define MATSOLVERPLAPACK      "plapack"
113 #define MATSOLVERBAS          "bas"
114 #define MATSOLVERCUSPARSE     "cusparse"
115 #define MATSOLVERBSTRM        "bstrm"
116 #define MATSOLVERSBSTRM       "sbstrm"
117 
118 /*E
119     MatFactorType - indicates what type of factorization is requested
120 
121     Level: beginner
122 
123    Any additions/changes here MUST also be made in include/finclude/petscmat.h
124 
125 .seealso: MatSolverPackage, MatGetFactor()
126 E*/
127 typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
128 PETSC_EXTERN const char *const MatFactorTypes[];
129 
130 PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,const MatSolverPackage,MatFactorType,Mat*);
131 PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,const MatSolverPackage,MatFactorType,PetscBool *);
132 PETSC_EXTERN PetscErrorCode MatFactorGetSolverPackage(Mat,const MatSolverPackage*);
133 PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
134 
135 /* Logging support */
136 #define    MAT_FILE_CLASSID 1211216    /* used to indicate matrices in binary files */
137 PETSC_EXTERN PetscClassId MAT_CLASSID;
138 PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
139 PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
140 PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
141 PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
142 PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
143 PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
144 
145 /*E
146     MatReuse - Indicates if matrices obtained from a previous call to MatGetSubMatrices()
147      or MatGetSubMatrix() are to be reused to store the new matrix values. For MatConvert() is used to indicate
148      that the input matrix is to be replaced with the converted matrix.
149 
150     Level: beginner
151 
152    Any additions/changes here MUST also be made in include/finclude/petscmat.h
153 
154 .seealso: MatGetSubMatrices(), MatGetSubMatrix(), MatDestroyMatrices(), MatConvert()
155 E*/
156 typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX} MatReuse;
157 
158 /*E
159     MatGetSubMatrixOption - Indicates if matrices obtained from a call to MatGetSubMatrices()
160      include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().
161 
162     Level: beginner
163 
164 .seealso: MatGetSeqNonzerostructure()
165 E*/
166 typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatGetSubMatrixOption;
167 
168 PETSC_EXTERN PetscErrorCode MatInitializePackage(const char[]);
169 
170 PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
171 PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
172 PETSC_EXTERN PetscErrorCode MatSetType(Mat,const MatType);
173 PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
174 PETSC_EXTERN PetscErrorCode MatRegisterAll(const char[]);
175 PETSC_EXTERN PetscErrorCode MatRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat));
176 PETSC_EXTERN PetscErrorCode MatRegisterBaseName(const char[],const char[],const char[]);
177 PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
178 PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
179 PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
180 
181 /*MC
182    MatRegisterDynamic - Adds a new matrix type
183 
184    Synopsis:
185    PetscErrorCode MatRegisterDynamic(const char *name,const char *path,const char *name_create,PetscErrorCode (*routine_create)(Mat))
186 
187    Not Collective
188 
189    Input Parameters:
190 +  name - name of a new user-defined matrix type
191 .  path - path (either absolute or relative) the library containing this solver
192 .  name_create - name of routine to create method context
193 -  routine_create - routine to create method context
194 
195    Notes:
196    MatRegisterDynamic() may be called multiple times to add several user-defined solvers.
197 
198    If dynamic libraries are used, then the fourth input argument (routine_create)
199    is ignored.
200 
201    Sample usage:
202 .vb
203    MatRegisterDynamic("my_mat",/home/username/my_lib/lib/libO/solaris/mylib.a,
204                "MyMatCreate",MyMatCreate);
205 .ve
206 
207    Then, your solver can be chosen with the procedural interface via
208 $     MatSetType(Mat,"my_mat")
209    or at runtime via the option
210 $     -mat_type my_mat
211 
212    Level: advanced
213 
214    Notes: ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values.
215          If your function is not being put into a shared library then use VecRegister() instead
216 
217 .keywords: Mat, register
218 
219 .seealso: MatRegisterAll(), MatRegisterDestroy()
220 
221 M*/
222 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
223 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,0)
224 #else
225 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,d)
226 #endif
227 
228 PETSC_EXTERN PetscBool MatRegisterAllCalled;
229 PETSC_EXTERN PetscFList MatList;
230 PETSC_EXTERN PetscFList MatColoringList;
231 PETSC_EXTERN PetscFList MatPartitioningList;
232 PETSC_EXTERN PetscFList MatCoarsenList;
233 
234 /*E
235     MatStructure - Indicates if the matrix has the same nonzero structure
236 
237     Level: beginner
238 
239    Any additions/changes here MUST also be made in include/finclude/petscmat.h
240 
241 .seealso: MatCopy(), KSPSetOperators(), PCSetOperators()
242 E*/
243 typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN,SAME_PRECONDITIONER} MatStructure;
244 
245 PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
246 PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
247 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
248 PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
249 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
250 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
251 
252 PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
253 PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
254 PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
255 
256 PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
257 PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
258 
259 PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
260 PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
261 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
262 PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*);
263 
264 PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
265 PETSC_EXTERN PetscErrorCode MatCreateAdic(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,void (*)(void),Mat*);
266 PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
267 PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Mat,Mat*);
268 PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,Mat*);
269 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
270 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
271 
272 PETSC_EXTERN PetscErrorCode MatCreateSeqBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
273 PETSC_EXTERN PetscErrorCode MatCreateMPIBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
274 PETSC_EXTERN PetscErrorCode MatCreateSeqSBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
275 PETSC_EXTERN PetscErrorCode MatCreateMPISBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
276 
277 PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
278 PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
279 PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
280 PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
281 PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
282 PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
283 PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
284 typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
285 PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
286 
287 PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],const MatType,Mat*);
288 PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);
289 
290 PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
291 PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,Mat*);
292 PETSC_EXTERN PetscErrorCode MatSubMatrixUpdate(Mat,Mat,IS,IS);
293 PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
294 
295 PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);
296 
297 PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
298 PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
299 
300 PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
301 PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
302 PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
303 PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
304 PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
305 PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
306 
307 /* ------------------------------------------------------------*/
308 PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
309 PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
310 PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
311 PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
312 PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
313 
314 /*S
315      MatStencil - Data structure (C struct) for storing information about a single row or
316         column of a matrix as indexed on an associated grid.
317 
318    Fortran usage is different, see MatSetValuesStencil() for details.
319 
320    Level: beginner
321 
322   Concepts: matrix; linear operator
323 
324 .seealso:  MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil()
325 S*/
326 typedef struct {
327   PetscInt k,j,i,c;
328 } MatStencil;
329 
330 PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
331 PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
332 PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
333 
334 PETSC_EXTERN PetscErrorCode MatSetColoring(Mat,ISColoring);
335 PETSC_EXTERN PetscErrorCode MatSetValuesAdic(Mat,void*);
336 PETSC_EXTERN PetscErrorCode MatSetValuesAdifor(Mat,PetscInt,void*);
337 
338 /*E
339     MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
340      to continue to add values to it
341 
342     Level: beginner
343 
344 .seealso: MatAssemblyBegin(), MatAssemblyEnd()
345 E*/
346 typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
347 PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
348 PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
349 PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);
350 
351 
352 
353 /*E
354     MatOption - Options that may be set for a matrix and its behavior or storage
355 
356     Level: beginner
357 
358    Any additions/changes here MUST also be made in include/finclude/petscmat.h
359 
360 .seealso: MatSetOption()
361 E*/
362 typedef enum {MAT_ROW_ORIENTED,MAT_NEW_NONZERO_LOCATIONS,
363               MAT_SYMMETRIC,
364               MAT_STRUCTURALLY_SYMMETRIC,
365               MAT_NEW_DIAGONALS,MAT_IGNORE_OFF_PROC_ENTRIES,
366               MAT_NEW_NONZERO_LOCATION_ERR,
367               MAT_NEW_NONZERO_ALLOCATION_ERR,MAT_USE_HASH_TABLE,
368               MAT_KEEP_NONZERO_PATTERN,MAT_IGNORE_ZERO_ENTRIES,
369               MAT_USE_INODES,
370               MAT_HERMITIAN,
371               MAT_SYMMETRY_ETERNAL,
372               MAT_CHECK_COMPRESSED_ROW,
373               MAT_IGNORE_LOWER_TRIANGULAR,MAT_ERROR_LOWER_TRIANGULAR,
374               MAT_GETROW_UPPERTRIANGULAR,MAT_UNUSED_NONZERO_LOCATION_ERR,
375               MAT_SPD,MAT_NO_OFF_PROC_ENTRIES,MAT_NO_OFF_PROC_ZERO_ROWS,
376               NUM_MAT_OPTIONS} MatOption;
377 
378 PETSC_EXTERN const char *MatOptions[];
379 PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool );
380 PETSC_EXTERN PetscErrorCode MatGetType(Mat,const MatType*);
381 
382 PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
383 PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
384 PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
385 PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
386 PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
387 PETSC_EXTERN PetscErrorCode MatGetColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
388 PETSC_EXTERN PetscErrorCode MatRestoreColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
389 PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
390 PETSC_EXTERN PetscErrorCode MatGetArray(Mat,PetscScalar *[]);
391 PETSC_EXTERN PetscErrorCode MatRestoreArray(Mat,PetscScalar *[]);
392 PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
393 PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
394 PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
395 PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
396 PETSC_EXTERN PetscErrorCode MatSetNThreads(Mat,PetscInt);
397 PETSC_EXTERN PetscErrorCode MatGetNThreads(Mat,PetscInt*);
398 
399 PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
400 PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
401 PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
402 PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
403 PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
404 PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
405 PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
406 PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
407 PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
408 PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
409 PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
410 PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
411 
412 /*E
413     MatDuplicateOption - Indicates if a duplicated sparse matrix should have
414   its numerical values copied over or just its nonzero structure.
415 
416     Level: beginner
417 
418    Any additions/changes here MUST also be made in include/finclude/petscmat.h
419 
420 $   MAT_SHARE_NONZERO_PATTERN - the i and j arrays in the new matrix will be shared with the original matrix
421 $                               this also triggers the MAT_DO_NOT_COPY_VALUES option. This is used when you
422 $                               have several matrices with the same nonzero pattern.
423 
424 .seealso: MatDuplicate()
425 E*/
426 typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;
427 
428 PETSC_EXTERN PetscErrorCode MatConvert(Mat,const MatType,MatReuse,Mat*);
429 PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);
430 
431 
432 PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
433 PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
434 PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
435 PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
436 PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
437 PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
438 PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
439 PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool  *,PetscInt *);
440 PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
441 
442 PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,PetscInt *[],PetscInt *[],PetscBool  *);
443 PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,PetscInt *[],PetscInt *[],PetscBool  *);
444 PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,PetscInt *[],PetscInt *[],PetscBool  *);
445 PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,PetscInt *[],PetscInt *[],PetscBool  *);
446 
447 /*S
448      MatInfo - Context of matrix information, used with MatGetInfo()
449 
450    In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
451 
452    Level: intermediate
453 
454   Concepts: matrix^nonzero information
455 
456 .seealso:  MatGetInfo(), MatInfoType
457 S*/
458 typedef struct {
459   PetscLogDouble block_size;                         /* block size */
460   PetscLogDouble nz_allocated,nz_used,nz_unneeded;   /* number of nonzeros */
461   PetscLogDouble memory;                             /* memory allocated */
462   PetscLogDouble assemblies;                         /* number of matrix assemblies called */
463   PetscLogDouble mallocs;                            /* number of mallocs during MatSetValues() */
464   PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
465   PetscLogDouble factor_mallocs;                     /* number of mallocs during factorization */
466 } MatInfo;
467 
468 /*E
469     MatInfoType - Indicates if you want information about the local part of the matrix,
470      the entire parallel matrix or the maximum over all the local parts.
471 
472     Level: beginner
473 
474    Any additions/changes here MUST also be made in include/finclude/petscmat.h
475 
476 .seealso: MatGetInfo(), MatInfo
477 E*/
478 typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
479 PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
480 PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
481 PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
482 PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
483 PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
484 PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
485 PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
486 PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
487 PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
488 PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat *);
489 PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
490 PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
491 PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool *);
492 PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool *);
493 PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool *);
494 PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool *);
495 PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool *);
496 
497 PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal *);
498 PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal *);
499 PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
500 PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
501 PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
502 PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
503 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
504 PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
505 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);
506 
507 PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
508 PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
509 PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
510 PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
511 PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
512 PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
513 PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);
514 
515 PETSC_EXTERN PetscErrorCode MatGetSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
516 PETSC_EXTERN PetscErrorCode MatGetSubMatricesParallel(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
517 PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
518 PETSC_EXTERN PetscErrorCode MatGetSubMatrix(Mat,IS,IS,MatReuse,Mat *);
519 PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
520 PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
521 PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
522 PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);
523 
524 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJ(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
525 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,Mat*);
526 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJNumeric(MPI_Comm,Mat,PetscInt,Mat);
527 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
528 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
529 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
530 PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
531 PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
532 PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
533 #if defined (PETSC_USE_CTABLE)
534 PETSC_EXTERN PetscErrorCode MatGetCommunicationStructs(Mat, Vec *, PetscTable *, VecScatter *);
535 #else
536 PETSC_EXTERN PetscErrorCode MatGetCommunicationStructs(Mat, Vec *, PetscInt *[], VecScatter *);
537 #endif
538 PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);
539 
540 PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
541 
542 PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
543 PETSC_EXTERN PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
544 PETSC_EXTERN PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat);
545 
546 PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
547 PETSC_EXTERN PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*);
548 PETSC_EXTERN PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat);
549 PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
550 PETSC_EXTERN PetscErrorCode MatRARtSymbolic(Mat,Mat,PetscReal,Mat*);
551 PETSC_EXTERN PetscErrorCode MatRARtNumeric(Mat,Mat,Mat);
552 
553 PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
554 PETSC_EXTERN PetscErrorCode MatTransposetMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
555 PETSC_EXTERN PetscErrorCode MatTransposetMatMultNumeric(Mat,Mat,Mat);
556 PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
557 PETSC_EXTERN PetscErrorCode MatMatTransposeMultSymbolic(Mat,Mat,PetscReal,Mat*);
558 PETSC_EXTERN PetscErrorCode MatMatTransposeMultNumeric(Mat,Mat,Mat);
559 
560 PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
561 PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);
562 
563 PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
564 PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);
565 
566 PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
567 PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
568 PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
569 PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
570 PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
571 PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
572 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
573 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
574 PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
575 PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
576 
577 PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
578 PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
579 
580 PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
581 PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
582 PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
583 PETSC_EXTERN PetscErrorCode MatGetVecs(Mat,Vec*,Vec*);
584 PETSC_EXTERN PetscErrorCode MatGetRedundantMatrix(Mat,PetscInt,MPI_Comm,PetscInt,MatReuse,Mat*);
585 PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
586 PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
587 
588 /*MC
589    MatSetValue - Set a single entry into a matrix.
590 
591    Not collective
592 
593    Input Parameters:
594 +  m - the matrix
595 .  row - the row location of the entry
596 .  col - the column location of the entry
597 .  value - the value to insert
598 -  mode - either INSERT_VALUES or ADD_VALUES
599 
600    Notes:
601    For efficiency one should use MatSetValues() and set several or many
602    values simultaneously if possible.
603 
604    Level: beginner
605 
606 .seealso: MatSetValues(), MatSetValueLocal()
607 M*/
608 PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}
609 
610 PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}
611 
612 PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}
613 
614 /*MC
615    MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
616        row in a matrix providing the data that one can use to correctly preallocate the matrix.
617 
618    Synopsis:
619    PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
620 
621    Collective on MPI_Comm
622 
623    Input Parameters:
624 +  comm - the communicator that will share the eventually allocated matrix
625 .  nrows - the number of LOCAL rows in the matrix
626 -  ncols - the number of LOCAL columns in the matrix
627 
628    Output Parameters:
629 +  dnz - the array that will be passed to the matrix preallocation routines
630 -  ozn - the other array passed to the matrix preallocation routines
631 
632 
633    Level: intermediate
634 
635    Notes:
636     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
637 
638    Do not malloc or free dnz and onz, that is handled internally by these routines
639 
640    Use MatPreallocateInitializeSymmetric() for symmetric matrices (MPISBAIJ matrices)
641 
642    This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().
643 
644   Concepts: preallocation^Matrix
645 
646 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
647           MatPreallocateInitializeSymmetric(), MatPreallocateSymmetricSetLocal()
648 M*/
649 #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
650 { \
651   PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ctmp = (ncols),__rstart,__start,__end; \
652   _4_ierr = PetscMalloc2(__nrows,PetscInt,&dnz,__nrows,PetscInt,&onz);CHKERRQ(_4_ierr); \
653   _4_ierr = PetscMemzero(dnz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr);\
654   _4_ierr = PetscMemzero(onz,__nrows*sizeof(PetscInt));CHKERRQ(_4_ierr); __start = 0; __end = __start; \
655   _4_ierr = MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ctmp;\
656   _4_ierr = MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows;
657 
658 /*MC
659    MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
660        inserted using a local number of the rows and columns
661 
662    Synopsis:
663    PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
664 
665    Not Collective
666 
667    Input Parameters:
668 +  map - the row mapping from local numbering to global numbering
669 .  nrows - the number of rows indicated
670 .  rows - the indices of the rows
671 .  cmap - the column mapping from local to global numbering
672 .  ncols - the number of columns in the matrix
673 .  cols - the columns indicated
674 .  dnz - the array that will be passed to the matrix preallocation routines
675 -  ozn - the other array passed to the matrix preallocation routines
676 
677 
678    Level: intermediate
679 
680    Notes:
681     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
682 
683    Do not malloc or free dnz and onz, that is handled internally by these routines
684 
685   Concepts: preallocation^Matrix
686 
687 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
688           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal()
689 M*/
690 #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
691 {\
692   PetscInt __l;\
693   _4_ierr = ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
694   _4_ierr = ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
695   for (__l=0;__l<nrows;__l++) {\
696     _4_ierr = MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
697   }\
698 }
699 
700 /*MC
701    MatPreallocateSymmetricSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
702        inserted using a local number of the rows and columns
703 
704    Synopsis:
705    PetscErrorCode MatPreallocateSymmetricSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
706 
707    Not Collective
708 
709    Input Parameters:
710 +  map - the mapping between local numbering and global numbering
711 .  nrows - the number of rows indicated
712 .  rows - the indices of the rows
713 .  ncols - the number of columns in the matrix
714 .  cols - the columns indicated
715 .  dnz - the array that will be passed to the matrix preallocation routines
716 -  ozn - the other array passed to the matrix preallocation routines
717 
718 
719    Level: intermediate
720 
721    Notes:
722     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
723 
724    Do not malloc or free dnz and onz that is handled internally by these routines
725 
726   Concepts: preallocation^Matrix
727 
728 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
729           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
730 M*/
731 #define MatPreallocateSymmetricSetLocal(map,nrows,rows,ncols,cols,dnz,onz) 0;\
732 {\
733   PetscInt __l;\
734   _4_ierr = ISLocalToGlobalMappingApply(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
735   _4_ierr = ISLocalToGlobalMappingApply(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
736   for (__l=0;__l<nrows;__l++) {\
737     _4_ierr = MatPreallocateSymmetricSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
738   }\
739 }
740 
741 /*MC
742    MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
743        inserted using a local number of the rows and columns
744 
745    Synopsis:
746    PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
747 
748    Not Collective
749 
750    Input Parameters:
751 +  row - the row
752 .  ncols - the number of columns in the matrix
753 -  cols - the columns indicated
754 
755    Output Parameters:
756 +  dnz - the array that will be passed to the matrix preallocation routines
757 -  ozn - the other array passed to the matrix preallocation routines
758 
759 
760    Level: intermediate
761 
762    Notes:
763     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
764 
765    Do not malloc or free dnz and onz that is handled internally by these routines
766 
767    This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
768 
769   Concepts: preallocation^Matrix
770 
771 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
772           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
773 M*/
774 #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
775 { PetscInt __i; \
776   if (row < __rstart) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D less than first local row %D",row,__rstart);\
777   if (row >= __rstart+__nrows) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D greater than last local row %D",row,__rstart+__nrows-1);\
778   for (__i=0; __i<nc; __i++) {\
779     if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
780     else dnz[row - __rstart]++;\
781   }\
782 }
783 
784 /*MC
785    MatPreallocateSymmetricSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
786        inserted using a local number of the rows and columns
787 
788    Synopsis:
789    PetscErrorCode MatPreallocateSymmetricSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
790 
791    Not Collective
792 
793    Input Parameters:
794 +  nrows - the number of rows indicated
795 .  rows - the indices of the rows
796 .  ncols - the number of columns in the matrix
797 .  cols - the columns indicated
798 .  dnz - the array that will be passed to the matrix preallocation routines
799 -  ozn - the other array passed to the matrix preallocation routines
800 
801 
802    Level: intermediate
803 
804    Notes:
805     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
806 
807    Do not malloc or free dnz and onz that is handled internally by these routines
808 
809    This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
810 
811   Concepts: preallocation^Matrix
812 
813 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
814           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
815 M*/
816 #define MatPreallocateSymmetricSet(row,nc,cols,dnz,onz) 0;\
817 { PetscInt __i; \
818   for (__i=0; __i<nc; __i++) {\
819     if (cols[__i] >= __end) onz[row - __rstart]++; \
820     else if (cols[__i] >= row) dnz[row - __rstart]++;\
821   }\
822 }
823 
824 /*MC
825    MatPreallocateLocation -  An alternative to MatPreallocationSet() that puts the nonzero locations into the matrix if it exists
826 
827    Synopsis:
828    PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
829 
830    Not Collective
831 
832    Input Parameters:
833 .  A - matrix
834 .  row - row where values exist (must be local to this process)
835 .  ncols - number of columns
836 .  cols - columns with nonzeros
837 .  dnz - the array that will be passed to the matrix preallocation routines
838 -  ozn - the other array passed to the matrix preallocation routines
839 
840 
841    Level: intermediate
842 
843    Notes:
844     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
845 
846    Do not malloc or free dnz and onz that is handled internally by these routines
847 
848    This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
849 
850   Concepts: preallocation^Matrix
851 
852 .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
853           MatPreallocateSymmetricSetLocal()
854 M*/
855 #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0;if (A) {ierr = MatSetValues(A,1,&row,ncols,cols,PETSC_NULL,INSERT_VALUES);CHKERRQ(ierr);} else {ierr =  MatPreallocateSet(row,ncols,cols,dnz,onz);CHKERRQ(ierr);}
856 
857 
858 /*MC
859    MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
860        row in a matrix providing the data that one can use to correctly preallocate the matrix.
861 
862    Synopsis:
863    PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
864 
865    Collective on MPI_Comm
866 
867    Input Parameters:
868 +  dnz - the array that was be passed to the matrix preallocation routines
869 -  ozn - the other array passed to the matrix preallocation routines
870 
871 
872    Level: intermediate
873 
874    Notes:
875     See the <A href="../../docs/manual.pdf#nameddest=ch_performance">Hints for Performance Improvment</A> chapter in the users manual for more details.
876 
877    Do not malloc or free dnz and onz that is handled internally by these routines
878 
879    This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().
880 
881   Concepts: preallocation^Matrix
882 
883 .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
884           MatPreallocateSymmetricSetLocal()
885 M*/
886 #define MatPreallocateFinalize(dnz,onz) 0;_4_ierr = PetscFree2(dnz,onz);CHKERRQ(_4_ierr);}
887 
888 
889 
890 /* Routines unique to particular data structures */
891 PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);
892 
893 PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
894 PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
895 
896 PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
897 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
898 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
899 PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
900 PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
901 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);
902 
903 #define MAT_SKIP_ALLOCATION -4
904 
905 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
906 PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
907 PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
908 
909 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
910 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
911 PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
912 PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
913 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
914 PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
915 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
916 PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
917 PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
918 PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
919 PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,PetscInt*[]);
920 PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,PetscInt*[]);
921 PETSC_EXTERN PetscErrorCode MatAdicSetLocalFunction(Mat,void (*)(void));
922 PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);
923 
924 PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
925 PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);
926 
927 PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
928 PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
929 
930 PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
931 
932 PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
933 /*
934   These routines are not usually accessed directly, rather solving is
935   done through the KSP and PC interfaces.
936 */
937 
938 /*J
939     MatOrderingType - String with the name of a PETSc matrix ordering or the creation function
940        with an optional dynamic library name, for example
941        http://www.mcs.anl.gov/petsc/lib.a:orderingcreate()
942 
943    Level: beginner
944 
945    Cannot use const because the PC objects manipulate the string
946 
947 .seealso: MatGetOrdering()
948 J*/
949 #define MatOrderingType char*
950 #define MATORDERINGNATURAL     "natural"
951 #define MATORDERINGND          "nd"
952 #define MATORDERING1WD         "1wd"
953 #define MATORDERINGRCM         "rcm"
954 #define MATORDERINGQMD         "qmd"
955 #define MATORDERINGROWLENGTH   "rowlength"
956 #define MATORDERINGAMD         "amd"            /* only works if UMFPACK is installed with PETSc */
957 
958 PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,const MatOrderingType,IS*,IS*);
959 PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFList *list);
960 PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatOrderingType,IS*,IS*));
961 
962 /*MC
963    MatOrderingRegisterDynamic - Adds a new sparse matrix ordering to the matrix package.
964 
965    Synopsis:
966    PetscErrorCode MatOrderingRegisterDynamic(const char *name_ordering,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatOrdering))
967 
968    Not Collective
969 
970    Input Parameters:
971 +  sname - name of ordering (for example MATORDERINGND)
972 .  path - location of library where creation routine is
973 .  name - name of function that creates the ordering type,a string
974 -  function - function pointer that creates the ordering
975 
976    Level: developer
977 
978    If dynamic libraries are used, then the fourth input argument (function)
979    is ignored.
980 
981    Sample usage:
982 .vb
983    MatOrderingRegisterDynamic("my_order",/home/username/my_lib/lib/libO/solaris/mylib.a,
984                "MyOrder",MyOrder);
985 .ve
986 
987    Then, your partitioner can be chosen with the procedural interface via
988 $     MatOrderingSetType(part,"my_order)
989    or at runtime via the option
990 $     -pc_factor_mat_ordering_type my_order
991 
992    ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values.
993 
994 .keywords: matrix, ordering, register
995 
996 .seealso: MatOrderingRegisterDestroy(), MatOrderingRegisterAll()
997 M*/
998 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
999 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,0)
1000 #else
1001 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,d)
1002 #endif
1003 
1004 PETSC_EXTERN PetscErrorCode MatOrderingRegisterDestroy(void);
1005 PETSC_EXTERN PetscErrorCode MatOrderingRegisterAll(const char[]);
1006 PETSC_EXTERN PetscBool MatOrderingRegisterAllCalled;
1007 PETSC_EXTERN PetscFList MatOrderingList;
1008 
1009 PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
1010 
1011 /*S
1012     MatFactorShiftType - Numeric Shift.
1013 
1014    Level: beginner
1015 
1016 S*/
1017 typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
1018 PETSC_EXTERN const char *const MatFactorShiftTypes[];
1019 
1020 /*S
1021    MatFactorInfo - Data passed into the matrix factorization routines
1022 
1023    In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
1024 $     MatFactorInfo  info(MAT_FACTORINFO_SIZE)
1025 
1026    Notes: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
1027 
1028       You can use MatFactorInfoInitialize() to set default values.
1029 
1030    Level: developer
1031 
1032 .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1033           MatFactorInfoInitialize()
1034 
1035 S*/
1036 typedef struct {
1037   PetscReal     diagonal_fill;  /* force diagonal to fill in if initially not filled */
1038   PetscReal     usedt;
1039   PetscReal     dt;             /* drop tolerance */
1040   PetscReal     dtcol;          /* tolerance for pivoting */
1041   PetscReal     dtcount;        /* maximum nonzeros to be allowed per row */
1042   PetscReal     fill;           /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1043   PetscReal     levels;         /* ICC/ILU(levels) */
1044   PetscReal     pivotinblocks;  /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1045                                    factorization may be faster if do not pivot */
1046   PetscReal     zeropivot;      /* pivot is called zero if less than this */
1047   PetscReal     shifttype;      /* type of shift added to matrix factor to prevent zero pivots */
1048   PetscReal     shiftamount;     /* how large the shift is */
1049 } MatFactorInfo;
1050 
1051 PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1052 PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1053 PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1054 PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1055 PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1056 PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1057 PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1058 PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1059 PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1060 PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1061 PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1062 PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1063 PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1064 PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1065 PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1066 PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1067 PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1068 PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1069 PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1070 
1071 PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1072 
1073 /*E
1074     MatSORType - What type of (S)SOR to perform
1075 
1076     Level: beginner
1077 
1078    May be bitwise ORd together
1079 
1080    Any additions/changes here MUST also be made in include/finclude/petscmat.h
1081 
1082    MatSORType may be bitwise ORd together, so do not change the numbers
1083 
1084 .seealso: MatSOR()
1085 E*/
1086 typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1087               SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1088               SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1089               SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1090 PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
1091 
1092 /*
1093     These routines are for efficiently computing Jacobians via finite differences.
1094 */
1095 
1096 /*J
1097     MatColoringType - String with the name of a PETSc matrix coloring or the creation function
1098        with an optional dynamic library name, for example
1099        http://www.mcs.anl.gov/petsc/lib.a:coloringcreate()
1100 
1101    Level: beginner
1102 
1103 .seealso: MatGetColoring()
1104 J*/
1105 #define MatColoringType char*
1106 #define MATCOLORINGNATURAL "natural"
1107 #define MATCOLORINGSL      "sl"
1108 #define MATCOLORINGLF      "lf"
1109 #define MATCOLORINGID      "id"
1110 
1111 PETSC_EXTERN PetscErrorCode MatGetColoring(Mat,const MatColoringType,ISColoring*);
1112 PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,MatColoringType,ISColoring *));
1113 
1114 /*MC
1115    MatColoringRegisterDynamic - Adds a new sparse matrix coloring to the
1116                                matrix package.
1117 
1118    Synopsis:
1119    PetscErrorCode MatColoringRegisterDynamic(const char *name_coloring,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatColoring))
1120 
1121    Not Collective
1122 
1123    Input Parameters:
1124 +  sname - name of Coloring (for example MATCOLORINGSL)
1125 .  path - location of library where creation routine is
1126 .  name - name of function that creates the Coloring type, a string
1127 -  function - function pointer that creates the coloring
1128 
1129    Level: developer
1130 
1131    If dynamic libraries are used, then the fourth input argument (function)
1132    is ignored.
1133 
1134    Sample usage:
1135 .vb
1136    MatColoringRegisterDynamic("my_color",/home/username/my_lib/lib/libO/solaris/mylib.a,
1137                "MyColor",MyColor);
1138 .ve
1139 
1140    Then, your partitioner can be chosen with the procedural interface via
1141 $     MatColoringSetType(part,"my_color")
1142    or at runtime via the option
1143 $     -mat_coloring_type my_color
1144 
1145    $PETSC_ARCH occuring in pathname will be replaced with appropriate values.
1146 
1147 .keywords: matrix, Coloring, register
1148 
1149 .seealso: MatColoringRegisterDestroy(), MatColoringRegisterAll()
1150 M*/
1151 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
1152 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,0)
1153 #else
1154 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,d)
1155 #endif
1156 
1157 PETSC_EXTERN PetscBool MatColoringRegisterAllCalled;
1158 
1159 PETSC_EXTERN PetscErrorCode MatColoringRegisterAll(const char[]);
1160 PETSC_EXTERN PetscErrorCode MatColoringRegisterDestroy(void);
1161 PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1162 
1163 /*S
1164      MatFDColoring - Object for computing a sparse Jacobian via finite differences
1165         and coloring
1166 
1167    Level: beginner
1168 
1169   Concepts: coloring, sparse Jacobian, finite differences
1170 
1171 .seealso:  MatFDColoringCreate()
1172 S*/
1173 typedef struct _p_MatFDColoring* MatFDColoring;
1174 
1175 PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1176 PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1177 PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1178 PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1179 PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1180 PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1181 PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1182 PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,MatStructure*,void *);
1183 PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1184 PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,PetscInt*[]);
1185 
1186 /*S
1187      MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1188 
1189    Level: beginner
1190 
1191   Concepts: coloring, sparse matrix product
1192 
1193 .seealso:  MatTransposeColoringCreate()
1194 S*/
1195 typedef struct _p_MatTransposeColoring* MatTransposeColoring;
1196 
1197 PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1198 PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1199 PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1200 PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);
1201 
1202 /*
1203     These routines are for partitioning matrices: currently used only
1204   for adjacency matrix, MatCreateMPIAdj().
1205 */
1206 
1207 /*S
1208      MatPartitioning - Object for managing the partitioning of a matrix or graph
1209 
1210    Level: beginner
1211 
1212   Concepts: partitioning
1213 
1214 .seealso:  MatPartitioningCreate(), MatPartitioningType
1215 S*/
1216 typedef struct _p_MatPartitioning* MatPartitioning;
1217 
1218 /*J
1219     MatPartitioningType - String with the name of a PETSc matrix partitioning or the creation function
1220        with an optional dynamic library name, for example
1221        http://www.mcs.anl.gov/petsc/lib.a:partitioningcreate()
1222 
1223    Level: beginner
1224 dm
1225 .seealso: MatPartitioningCreate(), MatPartitioning
1226 J*/
1227 #define MatPartitioningType char*
1228 #define MATPARTITIONINGCURRENT  "current"
1229 #define MATPARTITIONINGSQUARE   "square"
1230 #define MATPARTITIONINGPARMETIS "parmetis"
1231 #define MATPARTITIONINGCHACO    "chaco"
1232 #define MATPARTITIONINGPARTY    "party"
1233 #define MATPARTITIONINGPTSCOTCH "ptscotch"
1234 
1235 
1236 PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1237 PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,const MatPartitioningType);
1238 PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1239 PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1240 PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1241 PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1242 PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1243 PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1244 
1245 PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatPartitioning));
1246 
1247 /*MC
1248    MatPartitioningRegisterDynamic - Adds a new sparse matrix partitioning to the
1249    matrix package.
1250 
1251    Synopsis:
1252    PetscErrorCode MatPartitioningRegisterDynamic(const char *name_partitioning,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatPartitioning))
1253 
1254    Not Collective
1255 
1256    Input Parameters:
1257 +  sname - name of partitioning (for example MATPARTITIONINGCURRENT) or parmetis
1258 .  path - location of library where creation routine is
1259 .  name - name of function that creates the partitioning type, a string
1260 -  function - function pointer that creates the partitioning type
1261 
1262    Level: developer
1263 
1264    If dynamic libraries are used, then the fourth input argument (function)
1265    is ignored.
1266 
1267    Sample usage:
1268 .vb
1269    MatPartitioningRegisterDynamic("my_part",/home/username/my_lib/lib/libO/solaris/mylib.a,
1270                "MyPartCreate",MyPartCreate);
1271 .ve
1272 
1273    Then, your partitioner can be chosen with the procedural interface via
1274 $     MatPartitioningSetType(part,"my_part")
1275    or at runtime via the option
1276 $     -mat_partitioning_type my_part
1277 
1278    $PETSC_ARCH occuring in pathname will be replaced with appropriate values.
1279 
1280 .keywords: matrix, partitioning, register
1281 
1282 .seealso: MatPartitioningRegisterDestroy(), MatPartitioningRegisterAll()
1283 M*/
1284 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
1285 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,0)
1286 #else
1287 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,d)
1288 #endif
1289 
1290 PETSC_EXTERN PetscBool MatPartitioningRegisterAllCalled;
1291 
1292 PETSC_EXTERN PetscErrorCode MatPartitioningRegisterAll(const char[]);
1293 PETSC_EXTERN PetscErrorCode MatPartitioningRegisterDestroy(void);
1294 
1295 PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1296 PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1297 PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,const MatPartitioningType*);
1298 
1299 PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1300 PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1301 
1302 typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1303 PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1304 typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1305 PETSC_EXTERN const char *const MPChacoLocalTypes[];
1306 typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1307 PETSC_EXTERN const char *const MPChacoEigenTypes[];
1308 
1309 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1310 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1311 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1312 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1313 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1314 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1315 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1316 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1317 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1318 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1319 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);
1320 
1321 #define MP_PARTY_OPT "opt"
1322 #define MP_PARTY_LIN "lin"
1323 #define MP_PARTY_SCA "sca"
1324 #define MP_PARTY_RAN "ran"
1325 #define MP_PARTY_GBF "gbf"
1326 #define MP_PARTY_GCF "gcf"
1327 #define MP_PARTY_BUB "bub"
1328 #define MP_PARTY_DEF "def"
1329 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1330 #define MP_PARTY_HELPFUL_SETS "hs"
1331 #define MP_PARTY_KERNIGHAN_LIN "kl"
1332 #define MP_PARTY_NONE "no"
1333 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1334 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1335 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1336 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);
1337 
1338 typedef enum { MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1339 PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1340 
1341 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1342 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1343 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1344 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);
1345 
1346 /*
1347     These routines are for coarsening matrices:
1348 */
1349 
1350 /*S
1351      MatCoarsen - Object for managing the coarsening of a graph (symmetric matrix)
1352 
1353    Level: beginner
1354 
1355   Concepts: coarsen
1356 
1357 .seealso:  MatCoarsenCreate), MatCoarsenType
1358 S*/
1359 typedef struct _p_MatCoarsen* MatCoarsen;
1360 
1361 /*J
1362     MatCoarsenType - String with the name of a PETSc matrix coarsen or the creation function
1363        with an optional dynamic library name, for example
1364        http://www.mcs.anl.gov/petsc/lib.a:coarsencreate()
1365 
1366    Level: beginner
1367 dm
1368 .seealso: MatCoarsenCreate(), MatCoarsen
1369 J*/
1370 #define MatCoarsenType char*
1371 #define MATCOARSENMIS  "mis"
1372 #define MATCOARSENHEM  "hem"
1373 
1374 /* linked list for aggregates */
1375 typedef struct _PetscCDIntNd{
1376   struct _PetscCDIntNd *next;
1377   PetscInt   gid;
1378 }PetscCDIntNd;
1379 
1380 /* only used by node pool */
1381 typedef struct _PetscCDArrNd{
1382   struct _PetscCDArrNd *next;
1383   struct _PetscCDIntNd *array;
1384 }PetscCDArrNd;
1385 
1386 typedef struct _PetscCoarsenData{
1387   /* node pool */
1388   PetscCDArrNd  pool_list;
1389   PetscCDIntNd *new_node;
1390   PetscInt   new_left;
1391   PetscInt   chk_sz;
1392   PetscCDIntNd *extra_nodes;
1393   /* Array of lists */
1394   PetscCDIntNd **array;
1395   PetscInt size;
1396   /* cache a Mat for communication data */
1397   Mat mat;
1398   /* cache IS of removed equations */
1399   IS removedIS;
1400 }PetscCoarsenData;
1401 
1402 PETSC_EXTERN PetscErrorCode MatCoarsenCreate(MPI_Comm,MatCoarsen*);
1403 PETSC_EXTERN PetscErrorCode MatCoarsenSetType(MatCoarsen,const MatCoarsenType);
1404 PETSC_EXTERN PetscErrorCode MatCoarsenSetAdjacency(MatCoarsen,Mat);
1405 PETSC_EXTERN PetscErrorCode MatCoarsenSetGreedyOrdering(MatCoarsen,const IS);
1406 PETSC_EXTERN PetscErrorCode MatCoarsenSetStrictAggs(MatCoarsen,PetscBool);
1407 PETSC_EXTERN PetscErrorCode MatCoarsenSetVerbose(MatCoarsen,PetscInt);
1408 PETSC_EXTERN PetscErrorCode MatCoarsenGetData( MatCoarsen, PetscCoarsenData ** );
1409 PETSC_EXTERN PetscErrorCode MatCoarsenApply(MatCoarsen);
1410 PETSC_EXTERN PetscErrorCode MatCoarsenDestroy(MatCoarsen*);
1411 
1412 PETSC_EXTERN PetscErrorCode MatCoarsenRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatCoarsen));
1413 
1414 /*MC
1415    MatCoarsenRegisterDynamic - Adds a new sparse matrix coarsen to the
1416    matrix package.
1417 
1418    Synopsis:
1419    PetscErrorCode MatCoarsenRegisterDynamic(const char *name_coarsen,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatCoarsen))
1420 
1421    Not Collective
1422 
1423    Input Parameters:
1424 +  sname - name of coarsen (for example MATCOARSENMIS)
1425 .  path - location of library where creation routine is
1426 .  name - name of function that creates the coarsen type, a string
1427 -  function - function pointer that creates the coarsen type
1428 
1429    Level: developer
1430 
1431    If dynamic libraries are used, then the fourth input argument (function)
1432    is ignored.
1433 
1434    Sample usage:
1435 .vb
1436    MatCoarsenRegisterDynamic("my_agg",/home/username/my_lib/lib/libO/solaris/mylib.a,
1437                "MyAggCreate",MyAggCreate);
1438 .ve
1439 
1440    Then, your aggregator can be chosen with the procedural interface via
1441 $     MatCoarsenSetType(agg,"my_agg")
1442    or at runtime via the option
1443 $     -mat_coarsen_type my_agg
1444 
1445    $PETSC_ARCH occuring in pathname will be replaced with appropriate values.
1446 
1447 .keywords: matrix, coarsen, register
1448 
1449 .seealso: MatCoarsenRegisterDestroy(), MatCoarsenRegisterAll()
1450 M*/
1451 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
1452 #define MatCoarsenRegisterDynamic(a,b,c,d) MatCoarsenRegister(a,b,c,0)
1453 #else
1454 #define MatCoarsenRegisterDynamic(a,b,c,d) MatCoarsenRegister(a,b,c,d)
1455 #endif
1456 
1457 PETSC_EXTERN PetscBool MatCoarsenRegisterAllCalled;
1458 
1459 PETSC_EXTERN PetscErrorCode MatCoarsenRegisterAll(const char[]);
1460 PETSC_EXTERN PetscErrorCode MatCoarsenRegisterDestroy(void);
1461 
1462 PETSC_EXTERN PetscErrorCode MatCoarsenView(MatCoarsen,PetscViewer);
1463 PETSC_EXTERN PetscErrorCode MatCoarsenSetFromOptions(MatCoarsen);
1464 PETSC_EXTERN PetscErrorCode MatCoarsenGetType(MatCoarsen,const MatCoarsenType*);
1465 
1466 
1467 PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1468 PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);
1469 
1470 /*
1471     If you add entries here you must also add them to finclude/petscmat.h
1472 */
1473 typedef enum { MATOP_SET_VALUES=0,
1474                MATOP_GET_ROW=1,
1475                MATOP_RESTORE_ROW=2,
1476                MATOP_MULT=3,
1477                MATOP_MULT_ADD=4,
1478                MATOP_MULT_TRANSPOSE=5,
1479                MATOP_MULT_TRANSPOSE_ADD=6,
1480                MATOP_SOLVE=7,
1481                MATOP_SOLVE_ADD=8,
1482                MATOP_SOLVE_TRANSPOSE=9,
1483                MATOP_SOLVE_TRANSPOSE_ADD=10,
1484                MATOP_LUFACTOR=11,
1485                MATOP_CHOLESKYFACTOR=12,
1486                MATOP_SOR=13,
1487                MATOP_TRANSPOSE=14,
1488                MATOP_GETINFO=15,
1489                MATOP_EQUAL=16,
1490                MATOP_GET_DIAGONAL=17,
1491                MATOP_DIAGONAL_SCALE=18,
1492                MATOP_NORM=19,
1493                MATOP_ASSEMBLY_BEGIN=20,
1494                MATOP_ASSEMBLY_END=21,
1495                MATOP_SET_OPTION=22,
1496                MATOP_ZERO_ENTRIES=23,
1497                MATOP_ZERO_ROWS=24,
1498                MATOP_LUFACTOR_SYMBOLIC=25,
1499                MATOP_LUFACTOR_NUMERIC=26,
1500                MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1501                MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1502                MATOP_SETUP_PREALLOCATION=29,
1503                MATOP_ILUFACTOR_SYMBOLIC=30,
1504                MATOP_ICCFACTOR_SYMBOLIC=31,
1505                MATOP_GET_ARRAY=32,
1506                MATOP_RESTORE_ARRAY=33,
1507                MATOP_DUPLICATE=34,
1508                MATOP_FORWARD_SOLVE=35,
1509                MATOP_BACKWARD_SOLVE=36,
1510                MATOP_ILUFACTOR=37,
1511                MATOP_ICCFACTOR=38,
1512                MATOP_AXPY=39,
1513                MATOP_GET_SUBMATRICES=40,
1514                MATOP_INCREASE_OVERLAP=41,
1515                MATOP_GET_VALUES=42,
1516                MATOP_COPY=43,
1517                MATOP_GET_ROW_MAX=44,
1518                MATOP_SCALE=45,
1519                MATOP_SHIFT=46,
1520                MATOP_DIAGONAL_SET=47,
1521                MATOP_ILUDT_FACTOR=48,
1522                MATOP_SET_BLOCK_SIZE=49,
1523                MATOP_GET_ROW_IJ=50,
1524                MATOP_RESTORE_ROW_IJ=51,
1525                MATOP_GET_COLUMN_IJ=52,
1526                MATOP_RESTORE_COLUMN_IJ=53,
1527                MATOP_FDCOLORING_CREATE=54,
1528                MATOP_COLORING_PATCH=55,
1529                MATOP_SET_UNFACTORED=56,
1530                MATOP_PERMUTE=57,
1531                MATOP_SET_VALUES_BLOCKED=58,
1532                MATOP_GET_SUBMATRIX=59,
1533                MATOP_DESTROY=60,
1534                MATOP_VIEW=61,
1535                MATOP_CONVERT_FROM=62,
1536                MATOP_USE_SCALED_FORM=63,
1537                MATOP_SCALE_SYSTEM=64,
1538                MATOP_UNSCALE_SYSTEM=65,
1539                MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1540                MATOP_SET_VALUES_LOCAL=67,
1541                MATOP_ZERO_ROWS_LOCAL=68,
1542                MATOP_GET_ROW_MAX_ABS=69,
1543                MATOP_GET_ROW_MIN_ABS=70,
1544                MATOP_CONVERT=71,
1545                MATOP_SET_COLORING=72,
1546                MATOP_SET_VALUES_ADIC=73,
1547                MATOP_SET_VALUES_ADIFOR=74,
1548                MATOP_FD_COLORING_APPLY=75,
1549                MATOP_SET_FROM_OPTIONS=76,
1550                MATOP_MULT_CON=77,
1551                MATOP_MULT_TRANSPOSE_CON=78,
1552                MATOP_PERMUTE_SPARSIFY=79,
1553                MATOP_MULT_MULTIPLE=80,
1554                MATOP_SOLVE_MULTIPLE=81,
1555                MATOP_GET_INERTIA=82,
1556                MATOP_LOAD=83,
1557                MATOP_IS_SYMMETRIC=84,
1558                MATOP_IS_HERMITIAN=85,
1559                MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1560                MATOP_DUMMY=87,
1561                MATOP_GET_VECS=88,
1562                MATOP_MAT_MULT=89,
1563                MATOP_MAT_MULT_SYMBOLIC=90,
1564                MATOP_MAT_MULT_NUMERIC=91,
1565                MATOP_PTAP=92,
1566                MATOP_PTAP_SYMBOLIC=93,
1567                MATOP_PTAP_NUMERIC=94,
1568                MATOP_MAT_MULTTRANSPOSE=95,
1569                MATOP_MAT_MULTTRANSPOSE_SYM=96,
1570                MATOP_MAT_MULTTRANSPOSE_NUM=97,
1571                MATOP_PTAP_SYMBOLIC_SEQAIJ=98,
1572                MATOP_PTAP_NUMERIC_SEQAIJ=99,
1573                MATOP_PTAP_SYMBOLIC_MPIAIJ=100,
1574                MATOP_PTAP_NUMERIC_MPIAIJ=101,
1575                MATOP_CONJUGATE=102,
1576                MATOP_SET_SIZES=103,
1577                MATOP_SET_VALUES_ROW=104,
1578                MATOP_REAL_PART=105,
1579                MATOP_IMAG_PART=106,
1580                MATOP_GET_ROW_UTRIANGULAR=107,
1581                MATOP_RESTORE_ROW_UTRIANGULAR=108,
1582                MATOP_MATSOLVE=109,
1583                MATOP_GET_REDUNDANTMATRIX=110,
1584                MATOP_GET_ROW_MIN=111,
1585                MATOP_GET_COLUMN_VEC=112,
1586                MATOP_MISSING_DIAGONAL=113,
1587                MATOP_MATGETSEQNONZEROSTRUCTURE=114,
1588                MATOP_CREATE=115,
1589                MATOP_GET_GHOSTS=116,
1590                MATOP_GET_LOCALSUBMATRIX=117,
1591                MATOP_RESTORE_LOCALSUBMATRIX=118,
1592                MATOP_MULT_DIAGONAL_BLOCK=119,
1593                MATOP_HERMITIANTRANSPOSE=120,
1594                MATOP_MULTHERMITIANTRANSPOSE=121,
1595                MATOP_MULTHERMITIANTRANSPOSEADD=122,
1596                MATOP_GETMULTIPROCBLOCK=123,
1597                MATOP_GETCOLUMNNORMS=125,
1598 	       MATOP_GET_SUBMATRICES_PARALLEL=128,
1599                MATOP_SET_VALUES_BATCH=129,
1600                MATOP_TRANSPOSEMATMULT=130,
1601                MATOP_TRANSPOSEMATMULT_SYMBOLIC=131,
1602                MATOP_TRANSPOSEMATMULT_NUMERIC=132,
1603                MATOP_TRANSPOSECOLORING_CREATE=133,
1604                MATOP_TRANSCOLORING_APPLY_SPTODEN=134,
1605                MATOP_TRANSCOLORING_APPLY_DENTOSP=135,
1606                MATOP_RARt=136,
1607                MATOP_RARt_SYMBOLIC=137,
1608                MATOP_RARt_NUMERIC=138,
1609                MATOP_SET_BLOCK_SIZES=139,
1610                MATOP_AYPX=140
1611              } MatOperation;
1612 PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool *);
1613 PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1614 PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1615 PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1616 
1617 /*
1618    Codes for matrices stored on disk. By default they are
1619    stored in a universal format. By changing the format with
1620    PetscViewerSetFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1621    be stored in a way natural for the matrix, for example dense matrices
1622    would be stored as dense. Matrices stored this way may only be
1623    read into matrices of the same type.
1624 */
1625 #define MATRIX_BINARY_FORMAT_DENSE -1
1626 
1627 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1628 PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1629 PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1630 
1631 /*S
1632      MatNullSpace - Object that removes a null space from a vector, i.e.
1633          orthogonalizes the vector to a subsapce
1634 
1635    Level: advanced
1636 
1637   Concepts: matrix; linear operator, null space
1638 
1639   Users manual sections:
1640 .   sec_singular
1641 
1642 .seealso:  MatNullSpaceCreate()
1643 S*/
1644 typedef struct _p_MatNullSpace* MatNullSpace;
1645 
1646 PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1647 PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1648 PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1649 PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec,Vec*);
1650 PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1651 PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1652 PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1653 PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1654 PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool  *);
1655 PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1656 PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1657 PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);
1658 
1659 PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1660 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1661 PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1662 PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);
1663 
1664 PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1665 PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1666 PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1667 
1668 PETSC_EXTERN PetscErrorCode MatComputeExplicitOperator(Mat,Mat*);
1669 
1670 PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1671 
1672 PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1673 PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1674 PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1675 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1676 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1677 PETSC_EXTERN PetscErrorCode MatMFFDAddNullSpace(Mat,MatNullSpace);
1678 PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1679 PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1680 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1681 PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1682 PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1683 PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1684 PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1685 PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);
1686 
1687 /*S
1688     MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1689               Jacobian vector products
1690 
1691     Notes: MATMFFD is a specific MatType which uses the MatMFFD data structure
1692 
1693            MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure
1694 
1695     Level: developer
1696 
1697 .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1698 S*/
1699 typedef struct _p_MatMFFD* MatMFFD;
1700 
1701 /*J
1702     MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function
1703 
1704    Level: beginner
1705 
1706 .seealso: MatMFFDSetType(), MatMFFDRegister()
1707 J*/
1708 #define MatMFFDType char*
1709 #define MATMFFD_DS  "ds"
1710 #define MATMFFD_WP  "wp"
1711 
1712 PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,const MatMFFDType);
1713 PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatMFFD));
1714 
1715 /*MC
1716    MatMFFDRegisterDynamic - Adds a method to the MatMFFD registry.
1717 
1718    Synopsis:
1719    PetscErrorCode MatMFFDRegisterDynamic(const char *name_solver,const char *path,const char *name_create,PetscErrorCode (*routine_create)(MatMFFD))
1720 
1721    Not Collective
1722 
1723    Input Parameters:
1724 +  name_solver - name of a new user-defined compute-h module
1725 .  path - path (either absolute or relative) the library containing this solver
1726 .  name_create - name of routine to create method context
1727 -  routine_create - routine to create method context
1728 
1729    Level: developer
1730 
1731    Notes:
1732    MatMFFDRegisterDynamic() may be called multiple times to add several user-defined solvers.
1733 
1734    If dynamic libraries are used, then the fourth input argument (routine_create)
1735    is ignored.
1736 
1737    Sample usage:
1738 .vb
1739    MatMFFDRegisterDynamic("my_h",/home/username/my_lib/lib/libO/solaris/mylib.a,
1740                "MyHCreate",MyHCreate);
1741 .ve
1742 
1743    Then, your solver can be chosen with the procedural interface via
1744 $     MatMFFDSetType(mfctx,"my_h")
1745    or at runtime via the option
1746 $     -snes_mf_type my_h
1747 
1748 .keywords: MatMFFD, register
1749 
1750 .seealso: MatMFFDRegisterAll(), MatMFFDRegisterDestroy()
1751 M*/
1752 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
1753 #define MatMFFDRegisterDynamic(a,b,c,d) MatMFFDRegister(a,b,c,0)
1754 #else
1755 #define MatMFFDRegisterDynamic(a,b,c,d) MatMFFDRegister(a,b,c,d)
1756 #endif
1757 
1758 PETSC_EXTERN PetscErrorCode MatMFFDRegisterAll(const char[]);
1759 PETSC_EXTERN PetscErrorCode MatMFFDRegisterDestroy(void);
1760 PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1761 PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );
1762 
1763 
1764 PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1765 PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1766 
1767 /*
1768    PETSc interface to MUMPS
1769 */
1770 #ifdef PETSC_HAVE_MUMPS
1771 PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1772 #endif
1773 
1774 /*
1775    PETSc interface to SUPERLU
1776 */
1777 #ifdef PETSC_HAVE_SUPERLU
1778 PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1779 #endif
1780 
1781 #if defined PETSC_HAVE_TXPETSCGPU
1782 
1783 /*EC
1784     MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1785     matrices.
1786 
1787     Not Collective
1788 
1789 +   MAT_CUSPARSE_CSR : Compressed Sparse Row
1790 .   MAT_CUSPARSE_ELL : Ellpack
1791 -   MAT_CUSPARSE_HYB : Hybrid, a combination of Ellpack and Coordinate format.
1792 
1793     Level: intermediate
1794 
1795    Any additions/changes here MUST also be made in include/finclude/petscmat.h
1796 
1797 .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1798 E*/
1799 
1800 typedef enum {
1801   MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB}
1802   MatCUSPARSEStorageFormat;
1803 
1804 /* these will be strings associated with enumerated type defined above */
1805 PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
1806 
1807 /*EC
1808     MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1809     matrices whose operation should use a particular storage format.
1810 
1811     Not Collective
1812 
1813 +   MAT_CUSPARSE_MULT_DIAG : sets the storage format for the diagonal matrix in the parallel MatMult
1814 .   MAT_CUSPARSE_MULT_OFFDIAG : sets the storage format for the offdiagonal matrix in the parallel MatMult
1815 .   MAT_CUSPARSE_MULT = 0x3 : sets the storage format for the entire matrix in the serial (single GPU) MatMult
1816 .   MAT_CUSPARSE_SOLVE = 0x4 : sets the storage format for the triangular factors in the serial (single GPU) MatSolve
1817 -   MAT_CUSPARSE_ALL = 0x7 : sets the storage format for all CUSPARSE (GPU) matrices
1818 
1819     Level: intermediate
1820 
1821 .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1822 E*/
1823 typedef enum {
1824   MAT_CUSPARSE_MULT_DIAG = 0x1,
1825   MAT_CUSPARSE_MULT_OFFDIAG = 0x2,
1826   MAT_CUSPARSE_MULT = 0x3,
1827   MAT_CUSPARSE_SOLVE = 0x4,
1828   MAT_CUSPARSE_ALL = 0x7
1829 } MatCUSPARSEFormatOperation;
1830 
1831 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1832 PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1833 PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1834 
1835 #endif
1836 
1837 #if defined(PETSC_HAVE_CUSP)
1838 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1839 PETSC_EXTERN PetscErrorCode MatCreateAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1840 
1841 #ifdef PETSC_HAVE_TXPETSCGPU
1842 /*EC
1843     MatCUSPStorageFormat - indicates the storage format for CUSP (GPU)
1844     matrices.
1845 
1846     Not Collective
1847 
1848 +   MAT_CUSP_CSR Compressed Sparse Row),
1849 .   MAT_CUSP_DIA (diagonal)
1850 -   MAT_CUSP_ELL (Ellpack)
1851 
1852     Level: intermediate
1853 
1854    Any additions/changes here MUST also be made in include/finclude/petscmat.h
1855 
1856 .seealso: MatCUSPSetFormat(), MatCUSPFormatOperation
1857 E*/
1858 typedef enum {
1859   MAT_CUSP_CSR, MAT_CUSP_DIA, MAT_CUSP_ELL}
1860   MatCUSPStorageFormat;
1861 
1862 /* these will be strings associated with enumerated type defined above */
1863 PETSC_EXTERN const char *const MatCUSPStorageFormats[];
1864 
1865 /*EC
1866     MatCUSPFormatOperation - indicates the operation of CUSP (GPU)
1867     matrices whose operation should use a particular storage format.
1868 
1869     Not Collective
1870 
1871 +   MAT_CUSP_MULT_DIAG : sets the storage format for the diagonal matrix in the parallel MatMult
1872 .   MAT_CUSP_MULT_OFFDIAG : sets the storage format for the offdiagonal matrix in the parallel MatMult
1873 .   MAT_CUSP_MULT = 0x3 : sets the storage format for the entire matrix in the serial (single GPU) MatMult
1874 .   MAT_CUSP_SOLVE = 0x4 : sets the storage format for the triangular factors in the serial (single GPU) MatSolve
1875 -   MAT_CUSP_ALL = 0x7 : sets the storage format for all CUSP (GPU) matrices
1876 
1877     Level: intermediate
1878 
1879    Any additions/changes here MUST also be made in include/finclude/petscmat.h
1880 
1881 .seealso: MatCUSPSetFormat(), MatCUSPStorageFormat
1882 E*/
1883 typedef enum {
1884   MAT_CUSP_MULT_DIAG = 0x1,
1885   MAT_CUSP_MULT_OFFDIAG = 0x2,
1886   MAT_CUSP_MULT = 0x3,
1887   MAT_CUSP_SOLVE = 0x4,
1888   MAT_CUSP_ALL = 0x7
1889 } MatCUSPFormatOperation;
1890 
1891 PETSC_EXTERN PetscErrorCode MatCUSPSetFormat(Mat,MatCUSPFormatOperation,MatCUSPStorageFormat);
1892 #endif
1893 #endif
1894 
1895 /*
1896    PETSc interface to FFTW
1897 */
1898 #if defined(PETSC_HAVE_FFTW)
1899 PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1900 PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1901 PETSC_EXTERN PetscErrorCode MatGetVecsFFTW(Mat,Vec*,Vec*,Vec*);
1902 #endif
1903 
1904 #if defined(PETSC_HAVE_ELEMENTAL)
1905 PETSC_EXTERN PetscErrorCode PetscElementalInitializePackage(const char*);
1906 PETSC_EXTERN PetscErrorCode PetscElementalFinalizePackage(void);
1907 #endif
1908 
1909 PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1910 PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1911 PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1912 PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1913 PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1914 PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1915 PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,const VecType);
1916 PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1917 PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);
1918 
1919 /*
1920  MatIJ:
1921  An unweighted directed pseudograph
1922  An interpretation of this matrix as a (pseudo)graph allows us to define additional operations on it:
1923  A MatIJ can act on sparse arrays: arrays of indices, or index arrays of integers, scalars, or integer-scalar pairs
1924  by mapping the indices to the indices connected to them by the (pseudo)graph ed
1925  */
1926 typedef enum {MATIJ_LOCAL, MATIJ_GLOBAL} MatIJIndexType;
1927 PETSC_EXTERN PetscErrorCode MatIJSetMultivalued(Mat, PetscBool);
1928 PETSC_EXTERN PetscErrorCode MatIJGetMultivalued(Mat, PetscBool*);
1929 PETSC_EXTERN PetscErrorCode MatIJSetEdges(Mat, PetscInt, const PetscInt*, const PetscInt*);
1930 PETSC_EXTERN PetscErrorCode MatIJGetEdges(Mat, PetscInt *, PetscInt **, PetscInt **);
1931 PETSC_EXTERN PetscErrorCode MatIJSetEdgesIS(Mat, IS, IS);
1932 PETSC_EXTERN PetscErrorCode MatIJGetEdgesIS(Mat, IS*, IS*);
1933 PETSC_EXTERN PetscErrorCode MatIJGetRowSizes(Mat, MatIJIndexType, PetscInt, const PetscInt *, PetscInt **);
1934 PETSC_EXTERN PetscErrorCode MatIJGetMinRowSize(Mat, PetscInt *);
1935 PETSC_EXTERN PetscErrorCode MatIJGetMaxRowSize(Mat, PetscInt *);
1936 PETSC_EXTERN PetscErrorCode MatIJGetSupport(Mat,  PetscInt *, PetscInt **);
1937 PETSC_EXTERN PetscErrorCode MatIJGetSupportIS(Mat, IS *);
1938 PETSC_EXTERN PetscErrorCode MatIJGetImage(Mat, PetscInt*, PetscInt**);
1939 PETSC_EXTERN PetscErrorCode MatIJGetImageIS(Mat, IS *);
1940 PETSC_EXTERN PetscErrorCode MatIJGetSupportSize(Mat, PetscInt *);
1941 PETSC_EXTERN PetscErrorCode MatIJGetImageSize(Mat, PetscInt *);
1942 
1943 PETSC_EXTERN PetscErrorCode MatIJBinRenumber(Mat, Mat*);
1944 
1945 PETSC_EXTERN PetscErrorCode MatIJMap(Mat, MatIJIndexType, PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*, MatIJIndexType,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**);
1946 PETSC_EXTERN PetscErrorCode MatIJBin(Mat, MatIJIndexType, PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**);
1947 PETSC_EXTERN PetscErrorCode MatIJBinMap(Mat,Mat, MatIJIndexType,PetscInt,const PetscInt*,const PetscInt*,const PetscScalar*,MatIJIndexType,PetscInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt**);
1948 
1949 #endif
1950