xref: /petsc/include/petscmat.h (revision 770ba9b70756f805e2f35c818f540b6c3dfb3c2a)
1 /*
2      Include file for the matrix component of PETSc
3 */
4 #ifndef __PETSCMAT_H
5 #define __PETSCMAT_H
6 #include "petscvec.h"
7 PETSC_EXTERN_CXX_BEGIN
8 
9 /*S
10      Mat - Abstract PETSc matrix object
11 
12    Level: beginner
13 
14   Concepts: matrix; linear operator
15 
16 .seealso:  MatCreate(), MatType, MatSetType()
17 S*/
18 typedef struct _p_Mat*           Mat;
19 
20 /*E
21     MatType - String with the name of a PETSc matrix or the creation function
22        with an optional dynamic library name, for example
23        http://www.mcs.anl.gov/petsc/lib.a:mymatcreate()
24 
25    Level: beginner
26 
27 .seealso: MatSetType(), Mat
28 E*/
29 #define MATSAME            "same"
30 #define MATSEQMAIJ         "seqmaij"
31 #define MATMPIMAIJ         "mpimaij"
32 #define MATMAIJ            "maij"
33 #define MATIS              "is"
34 #define MATMPIROWBS        "mpirowbs"
35 #define MATSEQAIJ          "seqaij"
36 #define MATMPIAIJ          "mpiaij"
37 #define MATAIJ             "aij"
38 #define MATSHELL           "shell"
39 #define MATSEQBDIAG        "seqbdiag"
40 #define MATMPIBDIAG        "mpibdiag"
41 #define MATBDIAG           "bdiag"
42 #define MATSEQDENSE        "seqdense"
43 #define MATMPIDENSE        "mpidense"
44 #define MATDENSE           "dense"
45 #define MATSEQBAIJ         "seqbaij"
46 #define MATMPIBAIJ         "mpibaij"
47 #define MATBAIJ            "baij"
48 #define MATMPIADJ          "mpiadj"
49 #define MATSEQSBAIJ        "seqsbaij"
50 #define MATMPISBAIJ        "mpisbaij"
51 #define MATSBAIJ           "sbaij"
52 #define MATDAAD            "daad"
53 #define MATMFFD            "mffd"
54 #define MATNORMAL          "normal"
55 #define MATSEQAIJSPOOLES   "seqaijspooles"
56 #define MATMPIAIJSPOOLES   "mpiaijspooles"
57 #define MATSEQSBAIJSPOOLES "seqsbaijspooles"
58 #define MATMPISBAIJSPOOLES "mpisbaijspooles"
59 #define MATAIJSPOOLES      "aijspooles"
60 #define MATSBAIJSPOOLES    "sbaijspooles"
61 #define MATSUPERLU         "superlu"
62 #define MATSUPERLU_DIST    "superlu_dist"
63 #define MATUMFPACK         "umfpack"
64 #define MATESSL            "essl"
65 #define MATLUSOL           "lusol"
66 #define MATAIJMUMPS        "aijmumps"
67 #define MATSBAIJMUMPS      "sbaijmumps"
68 #define MATDSCPACK         "dscpack"
69 #define MATMATLAB          "matlab"
70 #define MatType char*
71 
72 /* Logging support */
73 #define    MAT_FILE_COOKIE 1211216    /* used to indicate matrices in binary files */
74 extern PetscCookie MAT_COOKIE, MATSNESMFCTX_COOKIE, MAT_FDCOLORING_COOKIE, MAT_PARTITIONING_COOKIE, MAT_NULLSPACE_COOKIE;
75 extern PetscEvent  MAT_Mult, MAT_MultMatrixFree, MAT_Mults, MAT_MultConstrained, MAT_MultAdd, MAT_MultTranspose;
76 extern PetscEvent  MAT_MultTransposeConstrained, MAT_MultTransposeAdd, MAT_Solve, MAT_Solves, MAT_SolveAdd, MAT_SolveTranspose;
77 extern PetscEvent  MAT_SolveTransposeAdd, MAT_Relax, MAT_ForwardSolve, MAT_BackwardSolve, MAT_LUFactor, MAT_LUFactorSymbolic;
78 extern PetscEvent  MAT_LUFactorNumeric, MAT_CholeskyFactor, MAT_CholeskyFactorSymbolic, MAT_CholeskyFactorNumeric, MAT_ILUFactor;
79 extern PetscEvent  MAT_ILUFactorSymbolic, MAT_ICCFactorSymbolic, MAT_Copy, MAT_Convert, MAT_Scale, MAT_AssemblyBegin;
80 extern PetscEvent  MAT_AssemblyEnd, MAT_SetValues, MAT_GetValues, MAT_GetRow, MAT_GetSubMatrices, MAT_GetColoring, MAT_GetOrdering;
81 extern PetscEvent  MAT_IncreaseOverlap, MAT_Partitioning, MAT_ZeroEntries, MAT_Load, MAT_View, MAT_AXPY, MAT_FDColoringCreate;
82 extern PetscEvent  MAT_FDColoringApply, MAT_Transpose, MAT_FDColoringFunction;
83 extern PetscEvent  MAT_MatMult, MAT_MatMultSymbolic, MAT_MatMultNumeric;
84 extern PetscEvent  MAT_PtAP, MAT_PtAPSymbolic, MAT_PtAPNumeric;
85 extern PetscEvent  MAT_MatMultTranspose, MAT_MatMultTransposeSymbolic, MAT_MatMultTransposeNumeric;
86 
87 EXTERN PetscErrorCode MatInitializePackage(char *);
88 
89 EXTERN PetscErrorCode MatCreate(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
90 EXTERN PetscErrorCode MatSetType(Mat,const MatType);
91 EXTERN PetscErrorCode MatSetFromOptions(Mat);
92 EXTERN PetscErrorCode MatSetUpPreallocation(Mat);
93 EXTERN PetscErrorCode MatRegisterAll(const char[]);
94 EXTERN PetscErrorCode MatRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat));
95 
96 /*MC
97    MatRegisterDynamic - Adds a new matrix type
98 
99    Synopsis:
100    PetscErrorCode MatRegisterDynamic(char *name,char *path,char *name_create,PetscErrorCode (*routine_create)(Mat))
101 
102    Not Collective
103 
104    Input Parameters:
105 +  name - name of a new user-defined matrix type
106 .  path - path (either absolute or relative) the library containing this solver
107 .  name_create - name of routine to create method context
108 -  routine_create - routine to create method context
109 
110    Notes:
111    MatRegisterDynamic() may be called multiple times to add several user-defined solvers.
112 
113    If dynamic libraries are used, then the fourth input argument (routine_create)
114    is ignored.
115 
116    Sample usage:
117 .vb
118    MatRegisterDynamic("my_mat",/home/username/my_lib/lib/libO/solaris/mylib.a,
119                "MyMatCreate",MyMatCreate);
120 .ve
121 
122    Then, your solver can be chosen with the procedural interface via
123 $     MatSetType(Mat,"my_mat")
124    or at runtime via the option
125 $     -mat_type my_mat
126 
127    Level: advanced
128 
129    Notes: ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values.
130          If your function is not being put into a shared library then use VecRegister() instead
131 
132 .keywords: Mat, register
133 
134 .seealso: MatRegisterAll(), MatRegisterDestroy()
135 
136 M*/
137 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
138 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,0)
139 #else
140 #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,d)
141 #endif
142 
143 extern PetscTruth MatRegisterAllCalled;
144 extern PetscFList MatList;
145 
146 EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
147 EXTERN PetscErrorCode MatCreateMPIDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
148 EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
149 EXTERN PetscErrorCode MatCreateMPIAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
150 EXTERN PetscErrorCode MatCreateMPIRowbs(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
151 EXTERN PetscErrorCode MatCreateSeqBDiag(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscScalar*[],Mat*);
152 EXTERN PetscErrorCode MatCreateMPIBDiag(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscScalar*[],Mat*);
153 EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
154 EXTERN PetscErrorCode MatCreateMPIBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
155 EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
156 EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
157 EXTERN PetscErrorCode MatCreateMPISBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
158 EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
159 EXTERN PetscErrorCode MatCreateAdic(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,void (*)(void),Mat*);
160 EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
161 EXTERN PetscErrorCode MatDestroy(Mat);
162 
163 EXTERN PetscErrorCode MatPrintHelp(Mat);
164 EXTERN PetscErrorCode MatGetPetscMaps(Mat,PetscMap*,PetscMap*);
165 
166 /* ------------------------------------------------------------*/
167 EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
168 EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
169 
170 /*S
171      MatStencil - Data structure (C struct) for storing information about a single row or
172         column of a matrix as index on an associated grid.
173 
174    Level: beginner
175 
176   Concepts: matrix; linear operator
177 
178 .seealso:  MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockStencil()
179 S*/
180 typedef struct {
181   PetscInt k,j,i,c;
182 } MatStencil;
183 
184 EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
185 EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
186 EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
187 
188 EXTERN PetscErrorCode MatSetColoring(Mat,ISColoring);
189 EXTERN PetscErrorCode MatSetValuesAdic(Mat,void*);
190 EXTERN PetscErrorCode MatSetValuesAdifor(Mat,PetscInt,void*);
191 
192 /*E
193     MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
194      to continue to add values to it
195 
196     Level: beginner
197 
198 .seealso: MatAssemblyBegin(), MatAssemblyEnd()
199 E*/
200 typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
201 EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
202 EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
203 EXTERN PetscErrorCode MatAssembled(Mat,PetscTruth*);
204 
205 extern PetscInt    MatSetValue_Row, MatSetValue_Column;
206 extern PetscScalar MatSetValue_Value;
207 
208 /*MC
209    MatSetValue - Set a single entry into a matrix.
210 
211    Synopsis:
212    PetscErrorCode MatSetValue(Mat m,PetscInt row,PetscInt col,PetscScalar value,InsertMode mode);
213 
214    Not collective
215 
216    Input Parameters:
217 +  m - the matrix
218 .  row - the row location of the entry
219 .  col - the column location of the entry
220 .  value - the value to insert
221 -  mode - either INSERT_VALUES or ADD_VALUES
222 
223    Notes:
224    For efficiency one should use MatSetValues() and set several or many
225    values simultaneously if possible.
226 
227    Level: beginner
228 
229 .seealso: MatSetValues(), MatSetValueLocal()
230 M*/
231 #define MatSetValue(v,i,j,va,mode) \
232   ((MatSetValue_Row = i,MatSetValue_Column = j,MatSetValue_Value = va,0) || \
233    MatSetValues(v,1,&MatSetValue_Row,1,&MatSetValue_Column,&MatSetValue_Value,mode))
234 
235 #define MatGetValue(v,i,j,va) \
236   ((MatSetValue_Row = i,MatSetValue_Column = j,0) || \
237    MatGetValues(v,1,&MatSetValue_Row,1,&MatSetValue_Column,&va))
238 
239 #define MatSetValueLocal(v,i,j,va,mode) \
240   ((MatSetValue_Row = i,MatSetValue_Column = j,MatSetValue_Value = va,0) || \
241    MatSetValuesLocal(v,1,&MatSetValue_Row,1,&MatSetValue_Column,&MatSetValue_Value,mode))
242 
243 /*E
244     MatOption - Options that may be set for a matrix and its behavior or storage
245 
246     Level: beginner
247 
248    Any additions/changes here MUST also be made in include/finclude/petscmat.h
249 
250 .seealso: MatSetOption()
251 E*/
252 typedef enum {MAT_ROW_ORIENTED=1,MAT_COLUMN_ORIENTED=2,MAT_ROWS_SORTED=4,
253               MAT_COLUMNS_SORTED=8,MAT_NO_NEW_NONZERO_LOCATIONS=16,
254               MAT_YES_NEW_NONZERO_LOCATIONS=32,MAT_SYMMETRIC=64,
255               MAT_STRUCTURALLY_SYMMETRIC=65,MAT_NO_NEW_DIAGONALS=66,
256               MAT_YES_NEW_DIAGONALS=67,MAT_INODE_LIMIT_1=68,MAT_INODE_LIMIT_2=69,
257               MAT_INODE_LIMIT_3=70,MAT_INODE_LIMIT_4=71,MAT_INODE_LIMIT_5=72,
258               MAT_IGNORE_OFF_PROC_ENTRIES=73,MAT_ROWS_UNSORTED=74,
259               MAT_COLUMNS_UNSORTED=75,MAT_NEW_NONZERO_LOCATION_ERR=76,
260               MAT_NEW_NONZERO_ALLOCATION_ERR=77,MAT_USE_HASH_TABLE=78,
261               MAT_KEEP_ZEROED_ROWS=79,MAT_IGNORE_ZERO_ENTRIES=80,MAT_USE_INODES=81,
262               MAT_DO_NOT_USE_INODES=82,MAT_NOT_SYMMETRIC=83,MAT_HERMITIAN=84,
263               MAT_NOT_STRUCTURALLY_SYMMETRIC=85,MAT_NOT_HERMITIAN=86,
264               MAT_SYMMETRY_ETERNAL=87,MAT_NOT_SYMMETRY_ETERNAL=88,
265               MAT_USE_COMPRESSEDROW=89,MAT_DO_NOT_USE_COMPRESSEDROW=90} MatOption;
266 EXTERN PetscErrorCode MatSetOption(Mat,MatOption);
267 EXTERN PetscErrorCode MatGetType(Mat,MatType*);
268 
269 EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
270 EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
271 EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
272 EXTERN PetscErrorCode MatGetColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
273 EXTERN PetscErrorCode MatRestoreColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
274 EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
275 EXTERN PetscErrorCode MatGetArray(Mat,PetscScalar *[]);
276 EXTERN PetscErrorCode MatRestoreArray(Mat,PetscScalar *[]);
277 EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
278 EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
279 
280 EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
281 EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
282 EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
283 EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscTruth*);
284 EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
285 EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
286 EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
287 
288 /*E
289     MatDuplicateOption - Indicates if a duplicated sparse matrix should have
290   its numerical values copied over or just its nonzero structure.
291 
292     Level: beginner
293 
294    Any additions/changes here MUST also be made in include/finclude/petscmat.h
295 
296 .seealso: MatDuplicate()
297 E*/
298 typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES} MatDuplicateOption;
299 
300 EXTERN PetscErrorCode MatConvertRegister(const char[],const char[],const char[],PetscErrorCode (*)(Mat,MatType,Mat*));
301 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
302 #define MatConvertRegisterDynamic(a,b,c,d) MatConvertRegister(a,b,c,0)
303 #else
304 #define MatConvertRegisterDynamic(a,b,c,d) MatConvertRegister(a,b,c,d)
305 #endif
306 EXTERN PetscErrorCode        MatConvertRegisterAll(const char[]);
307 EXTERN PetscErrorCode        MatConvertRegisterDestroy(void);
308 extern PetscTruth MatConvertRegisterAllCalled;
309 extern PetscFList MatConvertList;
310 EXTERN PetscErrorCode        MatConvert(Mat,const MatType,Mat*);
311 EXTERN PetscErrorCode        MatDuplicate(Mat,MatDuplicateOption,Mat*);
312 
313 /*E
314     MatStructure - Indicates if the matrix has the same nonzero structure
315 
316     Level: beginner
317 
318    Any additions/changes here MUST also be made in include/finclude/petscmat.h
319 
320 .seealso: MatCopy(), KSPSetOperators(), PCSetOperators()
321 E*/
322 typedef enum {SAME_NONZERO_PATTERN,DIFFERENT_NONZERO_PATTERN,SAME_PRECONDITIONER,SUBSET_NONZERO_PATTERN} MatStructure;
323 
324 EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
325 EXTERN PetscErrorCode MatView(Mat,PetscViewer);
326 EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscTruth*);
327 EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscTruth*,PetscTruth*);
328 EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscTruth*,PetscTruth*);
329 EXTERN PetscErrorCode MatLoad(PetscViewer,const MatType,Mat*);
330 
331 EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscTruth,PetscInt*,PetscInt *[],PetscInt *[],PetscTruth *);
332 EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscTruth,PetscInt *,PetscInt *[],PetscInt *[],PetscTruth *);
333 EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscTruth,PetscInt*,PetscInt *[],PetscInt *[],PetscTruth *);
334 EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscTruth,PetscInt *,PetscInt *[],PetscInt *[],PetscTruth *);
335 
336 /*S
337      MatInfo - Context of matrix information, used with MatGetInfo()
338 
339    In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
340 
341    Level: intermediate
342 
343   Concepts: matrix^nonzero information
344 
345 .seealso:  MatGetInfo(), MatInfoType
346 S*/
347 typedef struct {
348   PetscLogDouble rows_global,columns_global;         /* number of global rows and columns */
349   PetscLogDouble rows_local,columns_local;           /* number of local rows and columns */
350   PetscLogDouble block_size;                         /* block size */
351   PetscLogDouble nz_allocated,nz_used,nz_unneeded;   /* number of nonzeros */
352   PetscLogDouble memory;                             /* memory allocated */
353   PetscLogDouble assemblies;                         /* number of matrix assemblies called */
354   PetscLogDouble mallocs;                            /* number of mallocs during MatSetValues() */
355   PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
356   PetscLogDouble factor_mallocs;                     /* number of mallocs during factorization */
357 } MatInfo;
358 
359 /*E
360     MatInfoType - Indicates if you want information about the local part of the matrix,
361      the entire parallel matrix or the maximum over all the local parts.
362 
363     Level: beginner
364 
365    Any additions/changes here MUST also be made in include/finclude/petscmat.h
366 
367 .seealso: MatGetInfo(), MatInfo
368 E*/
369 typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
370 EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
371 EXTERN PetscErrorCode MatValid(Mat,PetscTruth*);
372 EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
373 EXTERN PetscErrorCode MatGetRowMax(Mat,Vec);
374 EXTERN PetscErrorCode MatTranspose(Mat,Mat*);
375 EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat *);
376 EXTERN PetscErrorCode MatPermuteSparsify(Mat,PetscInt,PetscReal,PetscReal,IS,IS,Mat *);
377 EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
378 EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
379 EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscTruth*);
380 EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscTruth*);
381 EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscTruth*);
382 
383 EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal *);
384 EXTERN PetscErrorCode MatZeroEntries(Mat);
385 EXTERN PetscErrorCode MatZeroRows(Mat,IS,const PetscScalar*);
386 EXTERN PetscErrorCode MatZeroColumns(Mat,IS,const PetscScalar*);
387 
388 EXTERN PetscErrorCode MatUseScaledForm(Mat,PetscTruth);
389 EXTERN PetscErrorCode MatScaleSystem(Mat,Vec,Vec);
390 EXTERN PetscErrorCode MatUnScaleSystem(Mat,Vec,Vec);
391 
392 EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
393 EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
394 EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
395 
396 /*E
397     MatReuse - Indicates if matrices obtained from a previous call to MatGetSubMatrices()
398      or MatGetSubMatrix() are to be reused to store the new matrix values.
399 
400     Level: beginner
401 
402    Any additions/changes here MUST also be made in include/finclude/petscmat.h
403 
404 .seealso: MatGetSubMatrices(), MatGetSubMatrix(), MatDestroyMatrices()
405 E*/
406 typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX} MatReuse;
407 EXTERN PetscErrorCode MatGetSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
408 EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
409 EXTERN PetscErrorCode MatGetSubMatrix(Mat,IS,IS,PetscInt,MatReuse,Mat *);
410 EXTERN PetscErrorCode MatMerge(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
411 EXTERN PetscErrorCode MatMerge_SeqsToMPI(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
412 EXTERN PetscErrorCode MatMerge_SeqsToMPISymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
413 EXTERN PetscErrorCode MatMerge_SeqsToMPINumeric(Mat,Mat);
414 EXTERN PetscErrorCode MatDestroy_MPIAIJ_SeqsToMPI(Mat);
415 EXTERN PetscErrorCode MatGetLocalMat(Mat,MatReuse,Mat*);
416 EXTERN PetscErrorCode MatGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
417 EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,PetscInt*,Mat*);
418 EXTERN PetscErrorCode MatGetBrowsOfAoCols(Mat,Mat,MatReuse,PetscInt**,PetscScalar**,Mat*);
419 
420 EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
421 
422 EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
423 EXTERN PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
424 EXTERN PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat);
425 
426 EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
427 EXTERN PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*);
428 EXTERN PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat);
429 
430 EXTERN PetscErrorCode MatMatMultTranspose(Mat,Mat,MatReuse,PetscReal,Mat*);
431 EXTERN PetscErrorCode MatMatMultTransposeSymbolic(Mat,Mat,PetscReal,Mat*);
432 EXTERN PetscErrorCode MatMatMultTransposeNumeric(Mat,Mat,Mat);
433 
434 EXTERN PetscErrorCode MatAXPY(const PetscScalar *,Mat,Mat,MatStructure);
435 EXTERN PetscErrorCode MatAYPX(const PetscScalar *,Mat,Mat);
436 EXTERN PetscErrorCode MatCompress(Mat);
437 
438 EXTERN PetscErrorCode MatScale(const PetscScalar *,Mat);
439 EXTERN PetscErrorCode MatShift(const PetscScalar *,Mat);
440 
441 EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping);
442 EXTERN PetscErrorCode MatSetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping);
443 EXTERN PetscErrorCode MatZeroRowsLocal(Mat,IS,const PetscScalar*);
444 EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
445 EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
446 
447 EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
448 EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
449 
450 EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
451 EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
452 EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
453 EXTERN PetscErrorCode MatGetVecs(Mat,Vec*,Vec*);
454 
455 /*MC
456    MatPreallocInitialize - Begins the block of code that will count the number of nonzeros per
457        row in a matrix providing the data that one can use to correctly preallocate the matrix.
458 
459    Synopsis:
460    PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
461 
462    Collective on MPI_Comm
463 
464    Input Parameters:
465 +  comm - the communicator that will share the eventually allocated matrix
466 .  nrows - the number of LOCAL rows in the matrix
467 -  ncols - the number of LOCAL columns in the matrix
468 
469    Output Parameters:
470 +  dnz - the array that will be passed to the matrix preallocation routines
471 -  ozn - the other array passed to the matrix preallocation routines
472 
473 
474    Level: intermediate
475 
476    Notes:
477    See the chapter in the users manual on performance for more details
478 
479    Do not malloc or free dnz and onz, that is handled internally by these routines
480 
481    Use MatPreallocateInitializeSymmetric() for symmetric matrices (MPISBAIJ matrices)
482 
483   Concepts: preallocation^Matrix
484 
485 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
486           MatPreallocateInitializeSymmetric(), MatPreallocateSymmetricSetLocal()
487 M*/
488 #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
489 { \
490   PetscErrorCode _4_ierr; PetscInt __tmp = (nrows),__ctmp = (ncols),__rstart,__start,__end; \
491   _4_ierr = PetscMalloc(2*__tmp*sizeof(PetscInt),&dnz);CHKERRQ(_4_ierr);onz = dnz + __tmp;\
492   _4_ierr = PetscMemzero(dnz,2*__tmp*sizeof(PetscInt));CHKERRQ(_4_ierr);\
493   _4_ierr = MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ctmp;\
494   _4_ierr = MPI_Scan(&__tmp,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __tmp;
495 
496 /*MC
497    MatPreallocSymmetricInitialize - Begins the block of code that will count the number of nonzeros per
498        row in a matrix providing the data that one can use to correctly preallocate the matrix.
499 
500    Synopsis:
501    PetscErrorCode MatPreallocateSymmetricInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
502 
503    Collective on MPI_Comm
504 
505    Input Parameters:
506 +  comm - the communicator that will share the eventually allocated matrix
507 .  nrows - the number of LOCAL rows in the matrix
508 -  ncols - the number of LOCAL columns in the matrix
509 
510    Output Parameters:
511 +  dnz - the array that will be passed to the matrix preallocation routines
512 -  ozn - the other array passed to the matrix preallocation routines
513 
514 
515    Level: intermediate
516 
517    Notes:
518    See the chapter in the users manual on performance for more details
519 
520    Do not malloc or free dnz and onz, that is handled internally by these routines
521 
522   Concepts: preallocation^Matrix
523 
524 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
525           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal()
526 M*/
527 #define MatPreallocateSymmetricInitialize(comm,nrows,ncols,dnz,onz) 0; \
528 { \
529   PetscErrorCode _4_ierr; PetscInt __tmp = (nrows),__ctmp = (ncols),__rstart,__end; \
530   _4_ierr = PetscMalloc(2*__tmp*sizeof(PetscInt),&dnz);CHKERRQ(_4_ierr);onz = dnz + __tmp;\
531   _4_ierr = PetscMemzero(dnz,2*__tmp*sizeof(PetscInt));CHKERRQ(_4_ierr);\
532   _4_ierr = MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr);\
533   _4_ierr = MPI_Scan(&__tmp,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __tmp;
534 
535 /*MC
536    MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
537        inserted using a local number of the rows and columns
538 
539    Synopsis:
540    PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
541 
542    Not Collective
543 
544    Input Parameters:
545 +  map - the mapping between local numbering and global numbering
546 .  nrows - the number of rows indicated
547 .  rows - the indices of the rows
548 .  ncols - the number of columns in the matrix
549 .  cols - the columns indicated
550 .  dnz - the array that will be passed to the matrix preallocation routines
551 -  ozn - the other array passed to the matrix preallocation routines
552 
553 
554    Level: intermediate
555 
556    Notes:
557    See the chapter in the users manual on performance for more details
558 
559    Do not malloc or free dnz and onz, that is handled internally by these routines
560 
561   Concepts: preallocation^Matrix
562 
563 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
564           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal()
565 M*/
566 #define MatPreallocateSetLocal(map,nrows,rows,ncols,cols,dnz,onz) 0;\
567 {\
568   PetscInt __l;\
569   _4_ierr = ISLocalToGlobalMappingApply(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
570   _4_ierr = ISLocalToGlobalMappingApply(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
571   for (__l=0;__l<nrows;__l++) {\
572     _4_ierr = MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
573   }\
574 }
575 
576 /*MC
577    MatPreallocateSymmetricSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
578        inserted using a local number of the rows and columns
579 
580    Synopsis:
581    PetscErrorCode MatPreallocateSymmetricSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
582 
583    Not Collective
584 
585    Input Parameters:
586 +  map - the mapping between local numbering and global numbering
587 .  nrows - the number of rows indicated
588 .  rows - the indices of the rows
589 .  ncols - the number of columns in the matrix
590 .  cols - the columns indicated
591 .  dnz - the array that will be passed to the matrix preallocation routines
592 -  ozn - the other array passed to the matrix preallocation routines
593 
594 
595    Level: intermediate
596 
597    Notes:
598    See the chapter in the users manual on performance for more details
599 
600    Do not malloc or free dnz and onz that is handled internally by these routines
601 
602   Concepts: preallocation^Matrix
603 
604 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
605           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
606 M*/
607 #define MatPreallocateSymmetricSetLocal(map,nrows,rows,ncols,cols,dnz,onz) 0;\
608 {\
609   PetscInt __l;\
610   _4_ierr = ISLocalToGlobalMappingApply(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
611   _4_ierr = ISLocalToGlobalMappingApply(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
612   for (__l=0;__l<nrows;__l++) {\
613     _4_ierr = MatPreallocateSymmetricSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
614   }\
615 }
616 
617 /*MC
618    MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
619        inserted using a local number of the rows and columns
620 
621    Synopsis:
622    PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
623 
624    Not Collective
625 
626    Input Parameters:
627 +  nrows - the number of rows indicated
628 .  rows - the indices of the rows
629 .  ncols - the number of columns in the matrix
630 -  cols - the columns indicated
631 
632    Output Parameters:
633 +  dnz - the array that will be passed to the matrix preallocation routines
634 -  ozn - the other array passed to the matrix preallocation routines
635 
636 
637    Level: intermediate
638 
639    Notes:
640    See the chapter in the users manual on performance for more details
641 
642    Do not malloc or free dnz and onz that is handled internally by these routines
643 
644   Concepts: preallocation^Matrix
645 
646 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
647           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
648 M*/
649 #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
650 { PetscInt __i; \
651   for (__i=0; __i<nc; __i++) {\
652     if (cols[__i] < __start || cols[__i] >= __end) onz[row - __rstart]++; \
653   }\
654   dnz[row - __rstart] = nc - onz[row - __rstart];\
655 }
656 
657 /*MC
658    MatPreallocateSymmetricSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
659        inserted using a local number of the rows and columns
660 
661    Synopsis:
662    PetscErrorCode MatPreallocateSymmetricSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
663 
664    Not Collective
665 
666    Input Parameters:
667 +  nrows - the number of rows indicated
668 .  rows - the indices of the rows
669 .  ncols - the number of columns in the matrix
670 .  cols - the columns indicated
671 .  dnz - the array that will be passed to the matrix preallocation routines
672 -  ozn - the other array passed to the matrix preallocation routines
673 
674 
675    Level: intermediate
676 
677    Notes:
678    See the chapter in the users manual on performance for more details
679 
680    Do not malloc or free dnz and onz that is handled internally by these routines
681 
682   Concepts: preallocation^Matrix
683 
684 .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateInitialize(),
685           MatPreallocateInitialize(), MatPreallocateSymmetricSetLocal(), MatPreallocateSetLocal()
686 M*/
687 #define MatPreallocateSymmetricSet(row,nc,cols,dnz,onz) 0;\
688 { PetscInt __i; \
689   for (__i=0; __i<nc; __i++) {\
690     if (cols[__i] >= __end) onz[row - __rstart]++; \
691     else if (cols[__i] >= row) dnz[row - __rstart]++;\
692   }\
693 }
694 
695 /*MC
696    MatPreallocFinalize - Ends the block of code that will count the number of nonzeros per
697        row in a matrix providing the data that one can use to correctly preallocate the matrix.
698 
699    Synopsis:
700    PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
701 
702    Collective on MPI_Comm
703 
704    Input Parameters:
705 +  dnz - the array that will be passed to the matrix preallocation routines
706 -  ozn - the other array passed to the matrix preallocation routines
707 
708 
709    Level: intermediate
710 
711    Notes:
712    See the chapter in the users manual on performance for more details
713 
714    Do not malloc or free dnz and onz that is handled internally by these routines
715 
716   Concepts: preallocation^Matrix
717 
718 .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSet(), MatPreallocateSetLocal(),
719           MatPreallocateSymmetricInitialize(), MatPreallocateSymmetricSetLocal()
720 M*/
721 #define MatPreallocateFinalize(dnz,onz) 0;_4_ierr = PetscFree(dnz);CHKERRQ(_4_ierr);}
722 
723 
724 
725 /* Routines unique to particular data structures */
726 EXTERN PetscErrorCode MatShellGetContext(Mat,void **);
727 
728 EXTERN PetscErrorCode MatBDiagGetData(Mat,PetscInt*,PetscInt*,PetscInt*[],PetscInt*[],PetscScalar***);
729 EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
730 EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
731 EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
732 
733 EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
734 EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
735 EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
736 EXTERN PetscErrorCode MatSeqDensePreallocation(Mat,PetscScalar[]);
737 EXTERN PetscErrorCode MatSeqBDiagSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscScalar*[]);
738 EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
739 
740 EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
741 EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
742 EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
743 EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
744 EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
745 EXTERN PetscErrorCode MatMPIDensePreallocation(Mat,PetscScalar[]);
746 EXTERN PetscErrorCode MatMPIBDiagSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscScalar*[]);
747 EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
748 EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
749 EXTERN PetscErrorCode MatMPIRowbsSetPreallocation(Mat,PetscInt,const PetscInt[]);
750 EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,PetscInt*[]);
751 EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,PetscInt*[]);
752 EXTERN PetscErrorCode MatAdicSetLocalFunction(Mat,void (*)(void));
753 
754 EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
755 
756 EXTERN PetscErrorCode MatStoreValues(Mat);
757 EXTERN PetscErrorCode MatRetrieveValues(Mat);
758 
759 EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
760 
761 /*
762   These routines are not usually accessed directly, rather solving is
763   done through the KSP and PC interfaces.
764 */
765 
766 /*E
767     MatOrderingType - String with the name of a PETSc matrix ordering or the creation function
768        with an optional dynamic library name, for example
769        http://www.mcs.anl.gov/petsc/lib.a:orderingcreate()
770 
771    Level: beginner
772 
773 .seealso: MatGetOrdering()
774 E*/
775 #define MatOrderingType char*
776 #define MATORDERING_NATURAL   "natural"
777 #define MATORDERING_ND        "nd"
778 #define MATORDERING_1WD       "1wd"
779 #define MATORDERING_RCM       "rcm"
780 #define MATORDERING_QMD       "qmd"
781 #define MATORDERING_ROWLENGTH "rowlength"
782 #define MATORDERING_DSC_ND    "dsc_nd"
783 #define MATORDERING_DSC_MMD   "dsc_mmd"
784 #define MATORDERING_DSC_MDF   "dsc_mdf"
785 #define MATORDERING_CONSTRAINED "constrained"
786 #define MATORDERING_IDENTITY  "identity"
787 #define MATORDERING_REVERSE   "reverse"
788 
789 EXTERN PetscErrorCode MatGetOrdering(Mat,const MatOrderingType,IS*,IS*);
790 EXTERN PetscErrorCode MatOrderingRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatOrderingType,IS*,IS*));
791 
792 /*MC
793    MatOrderingRegisterDynamic - Adds a new sparse matrix ordering to the
794                                matrix package.
795 
796    Synopsis:
797    PetscErrorCode MatOrderingRegisterDynamic(char *name_ordering,char *path,char *name_create,PetscErrorCode (*routine_create)(MatOrdering))
798 
799    Not Collective
800 
801    Input Parameters:
802 +  sname - name of ordering (for example MATORDERING_ND)
803 .  path - location of library where creation routine is
804 .  name - name of function that creates the ordering type,a string
805 -  function - function pointer that creates the ordering
806 
807    Level: developer
808 
809    If dynamic libraries are used, then the fourth input argument (function)
810    is ignored.
811 
812    Sample usage:
813 .vb
814    MatOrderingRegisterDynamic("my_order",/home/username/my_lib/lib/libO/solaris/mylib.a,
815                "MyOrder",MyOrder);
816 .ve
817 
818    Then, your partitioner can be chosen with the procedural interface via
819 $     MatOrderingSetType(part,"my_order)
820    or at runtime via the option
821 $     -pc_ilu_mat_ordering_type my_order
822 $     -pc_lu_mat_ordering_type my_order
823 
824    ${PETSC_ARCH} occuring in pathname will be replaced with appropriate values.
825 
826 .keywords: matrix, ordering, register
827 
828 .seealso: MatOrderingRegisterDestroy(), MatOrderingRegisterAll()
829 M*/
830 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
831 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,0)
832 #else
833 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,d)
834 #endif
835 
836 EXTERN PetscErrorCode        MatOrderingRegisterDestroy(void);
837 EXTERN PetscErrorCode        MatOrderingRegisterAll(const char[]);
838 extern PetscTruth MatOrderingRegisterAllCalled;
839 extern PetscFList MatOrderingList;
840 
841 EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
842 
843 /*S
844    MatFactorInfo - Data based into the matrix factorization routines
845 
846    In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE
847 
848    Notes: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
849 
850    Level: developer
851 
852 .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
853           MatFactorInfoInitialize()
854 
855 S*/
856 typedef struct {
857   PetscReal     damping;        /* scaling of identity added to matrix to prevent zero pivots */
858   PetscReal     shift;          /* if true, shift until positive pivots */
859   PetscReal     shift_fraction; /* record shift fraction taken */
860   PetscReal     diagonal_fill;  /* force diagonal to fill in if initially not filled */
861   PetscReal     dt;             /* drop tolerance */
862   PetscReal     dtcol;          /* tolerance for pivoting */
863   PetscReal     dtcount;        /* maximum nonzeros to be allowed per row */
864   PetscReal     fill;           /* expected fill; nonzeros in factored matrix/nonzeros in original matrix*/
865   PetscReal     levels;         /* ICC/ILU(levels) */
866   PetscReal     pivotinblocks;  /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
867                                    factorization may be faster if do not pivot */
868   PetscReal     zeropivot;      /* pivot is called zero if less than this */
869 } MatFactorInfo;
870 
871 EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
872 EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,MatFactorInfo*);
873 EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,IS,MatFactorInfo*,Mat*);
874 EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat*);
875 EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,MatFactorInfo*);
876 EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,MatFactorInfo*);
877 EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,IS,IS,MatFactorInfo*,Mat*);
878 EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,IS,IS,MatFactorInfo*,Mat*);
879 EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,IS,MatFactorInfo*,Mat*);
880 EXTERN PetscErrorCode MatICCFactor(Mat,IS,MatFactorInfo*);
881 EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat*);
882 EXTERN PetscErrorCode MatILUDTFactor(Mat,MatFactorInfo*,IS,IS,Mat *);
883 EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
884 EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
885 EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
886 EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
887 EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
888 EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
889 EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
890 EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
891 
892 EXTERN PetscErrorCode MatSetUnfactored(Mat);
893 
894 /*E
895     MatSORType - What type of (S)SOR to perform
896 
897     Level: beginner
898 
899    May be bitwise ORd together
900 
901    Any additions/changes here MUST also be made in include/finclude/petscmat.h
902 
903    MatSORType may be bitwise ORd together, so do not change the numbers
904 
905 .seealso: MatRelax(), MatPBRelax()
906 E*/
907 typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
908               SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
909               SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
910               SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
911 EXTERN PetscErrorCode MatRelax(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
912 EXTERN PetscErrorCode MatPBRelax(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
913 
914 /*
915     These routines are for efficiently computing Jacobians via finite differences.
916 */
917 
918 /*E
919     MatColoringType - String with the name of a PETSc matrix coloring or the creation function
920        with an optional dynamic library name, for example
921        http://www.mcs.anl.gov/petsc/lib.a:coloringcreate()
922 
923    Level: beginner
924 
925 .seealso: MatGetColoring()
926 E*/
927 #define MatColoringType char*
928 #define MATCOLORING_NATURAL "natural"
929 #define MATCOLORING_SL      "sl"
930 #define MATCOLORING_LF      "lf"
931 #define MATCOLORING_ID      "id"
932 
933 EXTERN PetscErrorCode MatGetColoring(Mat,const MatColoringType,ISColoring*);
934 EXTERN PetscErrorCode MatColoringRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatColoringType,ISColoring *));
935 
936 /*MC
937    MatColoringRegisterDynamic - Adds a new sparse matrix coloring to the
938                                matrix package.
939 
940    Synopsis:
941    PetscErrorCode MatColoringRegisterDynamic(char *name_coloring,char *path,char *name_create,PetscErrorCode (*routine_create)(MatColoring))
942 
943    Not Collective
944 
945    Input Parameters:
946 +  sname - name of Coloring (for example MATCOLORING_SL)
947 .  path - location of library where creation routine is
948 .  name - name of function that creates the Coloring type, a string
949 -  function - function pointer that creates the coloring
950 
951    Level: developer
952 
953    If dynamic libraries are used, then the fourth input argument (function)
954    is ignored.
955 
956    Sample usage:
957 .vb
958    MatColoringRegisterDynamic("my_color",/home/username/my_lib/lib/libO/solaris/mylib.a,
959                "MyColor",MyColor);
960 .ve
961 
962    Then, your partitioner can be chosen with the procedural interface via
963 $     MatColoringSetType(part,"my_color")
964    or at runtime via the option
965 $     -mat_coloring_type my_color
966 
967    $PETSC_ARCH occuring in pathname will be replaced with appropriate values.
968 
969 .keywords: matrix, Coloring, register
970 
971 .seealso: MatColoringRegisterDestroy(), MatColoringRegisterAll()
972 M*/
973 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
974 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,0)
975 #else
976 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,d)
977 #endif
978 
979 extern PetscTruth MatColoringRegisterAllCalled;
980 
981 EXTERN PetscErrorCode        MatColoringRegisterAll(const char[]);
982 EXTERN PetscErrorCode        MatColoringRegisterDestroy(void);
983 EXTERN PetscErrorCode        MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
984 
985 /*S
986      MatFDColoring - Object for computing a sparse Jacobian via finite differences
987         and coloring
988 
989    Level: beginner
990 
991   Concepts: coloring, sparse Jacobian, finite differences
992 
993 .seealso:  MatFDColoringCreate()
994 S*/
995 typedef struct _p_MatFDColoring *MatFDColoring;
996 
997 EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
998 EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring);
999 EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1000 EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1001 EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1002 EXTERN PetscErrorCode MatFDColoringSetFrequency(MatFDColoring,PetscInt);
1003 EXTERN PetscErrorCode MatFDColoringGetFrequency(MatFDColoring,PetscInt*);
1004 EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1005 EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,MatStructure*,void *);
1006 EXTERN PetscErrorCode MatFDColoringApplyTS(Mat,MatFDColoring,PetscReal,Vec,MatStructure*,void *);
1007 EXTERN PetscErrorCode MatFDColoringSetRecompute(MatFDColoring);
1008 EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1009 EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,PetscInt*[]);
1010 /*
1011     These routines are for partitioning matrices: currently used only
1012   for adjacency matrix, MatCreateMPIAdj().
1013 */
1014 
1015 /*S
1016      MatPartitioning - Object for managing the partitioning of a matrix or graph
1017 
1018    Level: beginner
1019 
1020   Concepts: partitioning
1021 
1022 .seealso:  MatPartitioningCreate(), MatPartitioningType
1023 S*/
1024 typedef struct _p_MatPartitioning *MatPartitioning;
1025 
1026 /*E
1027     MatPartitioningType - String with the name of a PETSc matrix partitioning or the creation function
1028        with an optional dynamic library name, for example
1029        http://www.mcs.anl.gov/petsc/lib.a:partitioningcreate()
1030 
1031    Level: beginner
1032 
1033 .seealso: MatPartitioningCreate(), MatPartitioning
1034 E*/
1035 #define MatPartitioningType char*
1036 #define MAT_PARTITIONING_CURRENT  "current"
1037 #define MAT_PARTITIONING_SQUARE   "square"
1038 #define MAT_PARTITIONING_PARMETIS "parmetis"
1039 #define MAT_PARTITIONING_CHACO    "chaco"
1040 #define MAT_PARTITIONING_JOSTLE   "jostle"
1041 #define MAT_PARTITIONING_PARTY    "party"
1042 #define MAT_PARTITIONING_SCOTCH   "scotch"
1043 
1044 
1045 EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1046 EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,const MatPartitioningType);
1047 EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1048 EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1049 EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1050 EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1051 EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1052 EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning);
1053 
1054 EXTERN PetscErrorCode MatPartitioningRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatPartitioning));
1055 
1056 /*MC
1057    MatPartitioningRegisterDynamic - Adds a new sparse matrix partitioning to the
1058    matrix package.
1059 
1060    Synopsis:
1061    PetscErrorCode MatPartitioningRegisterDynamic(char *name_partitioning,char *path,char *name_create,PetscErrorCode (*routine_create)(MatPartitioning))
1062 
1063    Not Collective
1064 
1065    Input Parameters:
1066 +  sname - name of partitioning (for example MAT_PARTITIONING_CURRENT) or parmetis
1067 .  path - location of library where creation routine is
1068 .  name - name of function that creates the partitioning type, a string
1069 -  function - function pointer that creates the partitioning type
1070 
1071    Level: developer
1072 
1073    If dynamic libraries are used, then the fourth input argument (function)
1074    is ignored.
1075 
1076    Sample usage:
1077 .vb
1078    MatPartitioningRegisterDynamic("my_part",/home/username/my_lib/lib/libO/solaris/mylib.a,
1079                "MyPartCreate",MyPartCreate);
1080 .ve
1081 
1082    Then, your partitioner can be chosen with the procedural interface via
1083 $     MatPartitioningSetType(part,"my_part")
1084    or at runtime via the option
1085 $     -mat_partitioning_type my_part
1086 
1087    $PETSC_ARCH occuring in pathname will be replaced with appropriate values.
1088 
1089 .keywords: matrix, partitioning, register
1090 
1091 .seealso: MatPartitioningRegisterDestroy(), MatPartitioningRegisterAll()
1092 M*/
1093 #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
1094 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,0)
1095 #else
1096 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,d)
1097 #endif
1098 
1099 extern PetscTruth MatPartitioningRegisterAllCalled;
1100 
1101 EXTERN PetscErrorCode MatPartitioningRegisterAll(const char[]);
1102 EXTERN PetscErrorCode MatPartitioningRegisterDestroy(void);
1103 
1104 EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1105 EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1106 EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
1107 
1108 EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1109 
1110 EXTERN PetscErrorCode MatPartitioningJostleSetCoarseLevel(MatPartitioning,PetscReal);
1111 EXTERN PetscErrorCode MatPartitioningJostleSetCoarseSequential(MatPartitioning);
1112 
1113 typedef enum { MP_CHACO_MULTILEVEL_KL, MP_CHACO_SPECTRAL, MP_CHACO_LINEAR,
1114     MP_CHACO_RANDOM, MP_CHACO_SCATTERED } MPChacoGlobalType;
1115 EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType);
1116 typedef enum { MP_CHACO_KERNIGHAN_LIN, MP_CHACO_NONE } MPChacoLocalType;
1117 EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType);
1118 EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1119 typedef enum { MP_CHACO_LANCZOS, MP_CHACO_RQI_SYMMLQ } MPChacoEigenType;
1120 EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1121 EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal);
1122 EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt);
1123 
1124 #define MP_PARTY_OPT "opt"
1125 #define MP_PARTY_LIN "lin"
1126 #define MP_PARTY_SCA "sca"
1127 #define MP_PARTY_RAN "ran"
1128 #define MP_PARTY_GBF "gbf"
1129 #define MP_PARTY_GCF "gcf"
1130 #define MP_PARTY_BUB "bub"
1131 #define MP_PARTY_DEF "def"
1132 EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char*);
1133 #define MP_PARTY_HELPFUL_SETS "hs"
1134 #define MP_PARTY_KERNIGHAN_LIN "kl"
1135 #define MP_PARTY_NONE "no"
1136 EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char*);
1137 EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1138 EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscTruth);
1139 EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscTruth);
1140 
1141 typedef enum { MP_SCOTCH_GREEDY, MP_SCOTCH_GPS, MP_SCOTCH_GR_GPS } MPScotchGlobalType;
1142 EXTERN PetscErrorCode MatPartitioningScotchSetArch(MatPartitioning,const char*);
1143 EXTERN PetscErrorCode MatPartitioningScotchSetMultilevel(MatPartitioning);
1144 EXTERN PetscErrorCode MatPartitioningScotchSetGlobal(MatPartitioning,MPScotchGlobalType);
1145 EXTERN PetscErrorCode MatPartitioningScotchSetCoarseLevel(MatPartitioning,PetscReal);
1146 EXTERN PetscErrorCode MatPartitioningScotchSetHostList(MatPartitioning,const char*);
1147 typedef enum { MP_SCOTCH_KERNIGHAN_LIN, MP_SCOTCH_NONE } MPScotchLocalType;
1148 EXTERN PetscErrorCode MatPartitioningScotchSetLocal(MatPartitioning,MPScotchLocalType);
1149 EXTERN PetscErrorCode MatPartitioningScotchSetMapping(MatPartitioning);
1150 EXTERN PetscErrorCode MatPartitioningScotchSetStrategy(MatPartitioning,char*);
1151 
1152 /*
1153     If you add entries here you must also add them to finclude/petscmat.h
1154 */
1155 typedef enum { MATOP_SET_VALUES=0,
1156                MATOP_GET_ROW=1,
1157                MATOP_RESTORE_ROW=2,
1158                MATOP_MULT=3,
1159                MATOP_MULT_ADD=4,
1160                MATOP_MULT_TRANSPOSE=5,
1161                MATOP_MULT_TRANSPOSE_ADD=6,
1162                MATOP_SOLVE=7,
1163                MATOP_SOLVE_ADD=8,
1164                MATOP_SOLVE_TRANSPOSE=9,
1165                MATOP_SOLVE_TRANSPOSE_ADD=10,
1166                MATOP_LUFACTOR=11,
1167                MATOP_CHOLESKYFACTOR=12,
1168                MATOP_RELAX=13,
1169                MATOP_TRANSPOSE=14,
1170                MATOP_GETINFO=15,
1171                MATOP_EQUAL=16,
1172                MATOP_GET_DIAGONAL=17,
1173                MATOP_DIAGONAL_SCALE=18,
1174                MATOP_NORM=19,
1175                MATOP_ASSEMBLY_BEGIN=20,
1176                MATOP_ASSEMBLY_END=21,
1177                MATOP_COMPRESS=22,
1178                MATOP_SET_OPTION=23,
1179                MATOP_ZERO_ENTRIES=24,
1180                MATOP_ZERO_ROWS=25,
1181                MATOP_LUFACTOR_SYMBOLIC=26,
1182                MATOP_LUFACTOR_NUMERIC=27,
1183                MATOP_CHOLESKY_FACTOR_SYMBOLIC=28,
1184                MATOP_CHOLESKY_FACTOR_NUMERIC=29,
1185                MATOP_SETUP_PREALLOCATION=30,
1186                MATOP_ILUFACTOR_SYMBOLIC=31,
1187                MATOP_ICCFACTOR_SYMBOLIC=32,
1188                MATOP_GET_ARRAY=33,
1189                MATOP_RESTORE_ARRAY=34,
1190                MATOP_DUPLCIATE=35,
1191                MATOP_FORWARD_SOLVE=36,
1192                MATOP_BACKWARD_SOLVE=37,
1193                MATOP_ILUFACTOR=38,
1194                MATOP_ICCFACTOR=39,
1195                MATOP_AXPY=40,
1196                MATOP_GET_SUBMATRICES=41,
1197                MATOP_INCREASE_OVERLAP=42,
1198                MATOP_GET_VALUES=43,
1199                MATOP_COPY=44,
1200                MATOP_PRINT_HELP=45,
1201                MATOP_SCALE=46,
1202                MATOP_SHIFT=47,
1203                MATOP_DIAGONAL_SHIFT=48,
1204                MATOP_ILUDT_FACTOR=49,
1205                MATOP_GET_BLOCK_SIZE=50,
1206                MATOP_GET_ROW_IJ=51,
1207                MATOP_RESTORE_ROW_IJ=52,
1208                MATOP_GET_COLUMN_IJ=53,
1209                MATOP_RESTORE_COLUMN_IJ=54,
1210                MATOP_FDCOLORING_CREATE=55,
1211                MATOP_COLORING_PATCH=56,
1212                MATOP_SET_UNFACTORED=57,
1213                MATOP_PERMUTE=58,
1214                MATOP_SET_VALUES_BLOCKED=59,
1215                MATOP_GET_SUBMATRIX=60,
1216                MATOP_DESTROY=61,
1217                MATOP_VIEW=62,
1218                MATOP_GET_MAPS=63,
1219                MATOP_USE_SCALED_FORM=64,
1220                MATOP_SCALE_SYSTEM=65,
1221                MATOP_UNSCALE_SYSTEM=66,
1222                MATOP_SET_LOCAL_TO_GLOBAL_MAP=67,
1223                MATOP_SET_VALUES_LOCAL=68,
1224                MATOP_ZERO_ROWS_LOCAL=69,
1225                MATOP_GET_ROW_MAX=70,
1226                MATOP_CONVERT=71,
1227                MATOP_SET_COLORING=72,
1228                MATOP_SET_VALUES_ADIC=73,
1229                MATOP_SET_VALUES_ADIFOR=74,
1230                MATOP_FD_COLORING_APPLY=75,
1231                MATOP_SET_FROM_OPTIONS=76,
1232                MATOP_MULT_CON=77,
1233                MATOP_MULT_TRANSPOSE_CON=78,
1234                MATOP_ILU_FACTOR_SYMBOLIC_CON=79,
1235                MATOP_PERMUTE_SPARSIFY=80,
1236                MATOP_MULT_MULTIPLE=81,
1237                MATOP_SOLVE_MULTIPLE=82,
1238                MATOP_GET_INERTIA=83,
1239                MATOP_LOAD=84,
1240                MATOP_IS_SYMMETRIC=85,
1241                MATOP_IS_HERMITIAN=86,
1242                MATOP_IS_STRUCTURALLY_SYMMETRIC=87,
1243                MATOP_PB_RELAX=88,
1244                MATOP_GET_VECS=89,
1245                MATOP_MAT_MULT=90,
1246                MATOP_MAT_MULT_SYMBOLIC=91,
1247                MATOP_MAT_MULT_NUMERIC=92,
1248                MATOP_PTAP=93,
1249                MATOP_PTAP_SYMBOLIC=94,
1250                MATOP_PTAP_NUMERIC=95,
1251                MATOP_MAT_MULTTRANSPOSE=96,
1252                MATOP_MAT_MULTTRANSPOSE_SYMBOLIC=97,
1253                MATOP_MAT_MULTTRANSPOSE_NUMERIC=98
1254              } MatOperation;
1255 EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscTruth*);
1256 EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1257 EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1258 EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1259 
1260 /*
1261    Codes for matrices stored on disk. By default they are
1262  stored in a universal format. By changing the format with
1263  PetscViewerSetFormat(viewer,PETSC_VIEWER_BINARY_NATIVE); the matrices will
1264  be stored in a way natural for the matrix, for example dense matrices
1265  would be stored as dense. Matrices stored this way may only be
1266  read into matrices of the same time.
1267 */
1268 #define MATRIX_BINARY_FORMAT_DENSE -1
1269 
1270 EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1271 EXTERN PetscErrorCode MatSeqAIJGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
1272 EXTERN PetscErrorCode MatMPIRowbsGetColor(Mat,ISColoring *);
1273 
1274 EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1275 
1276 /*S
1277      MatNullSpace - Object that removes a null space from a vector, i.e.
1278          orthogonalizes the vector to a subsapce
1279 
1280    Level: advanced
1281 
1282   Concepts: matrix; linear operator, null space
1283 
1284   Users manual sections:
1285 .   sec_singular
1286 
1287 .seealso:  MatNullSpaceCreate()
1288 S*/
1289 typedef struct _p_MatNullSpace* MatNullSpace;
1290 
1291 EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscTruth,PetscInt,const Vec[],MatNullSpace*);
1292 EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace);
1293 EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec,Vec*);
1294 EXTERN PetscErrorCode MatNullSpaceAttach(Mat,MatNullSpace);
1295 EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat);
1296 
1297 EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1298 EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1299 EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1300 
1301 
1302 EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1303 EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1304 EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1305 
1306 EXTERN PetscErrorCode MatComputeExplicitOperator(Mat,Mat*);
1307 
1308 EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1309 
1310 EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1311 EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1312 
1313 PETSC_EXTERN_CXX_END
1314 #endif
1315