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