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,IS*,IS*,PetscInt*,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 MatMPIDensePreallocation(Mat,PetscScalar[]); 741 EXTERN PetscErrorCode MatMPIBDiagSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscScalar*[]); 742 EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]); 743 EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]); 744 EXTERN PetscErrorCode MatMPIRowbsSetPreallocation(Mat,PetscInt,const PetscInt[]); 745 EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,PetscInt*[]); 746 EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,PetscInt*[]); 747 EXTERN PetscErrorCode MatAdicSetLocalFunction(Mat,void (*)(void)); 748 749 EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt); 750 751 EXTERN PetscErrorCode MatStoreValues(Mat); 752 EXTERN PetscErrorCode MatRetrieveValues(Mat); 753 754 EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*); 755 756 /* 757 These routines are not usually accessed directly, rather solving is 758 done through the KSP and PC interfaces. 759 */ 760 761 /*E 762 MatOrderingType - String with the name of a PETSc matrix ordering or the creation function 763 with an optional dynamic library name, for example 764 http://www.mcs.anl.gov/petsc/lib.a:orderingcreate() 765 766 Level: beginner 767 768 .seealso: MatGetOrdering() 769 E*/ 770 #define MatOrderingType char* 771 #define MATORDERING_NATURAL "natural" 772 #define MATORDERING_ND "nd" 773 #define MATORDERING_1WD "1wd" 774 #define MATORDERING_RCM "rcm" 775 #define MATORDERING_QMD "qmd" 776 #define MATORDERING_ROWLENGTH "rowlength" 777 #define MATORDERING_DSC_ND "dsc_nd" 778 #define MATORDERING_DSC_MMD "dsc_mmd" 779 #define MATORDERING_DSC_MDF "dsc_mdf" 780 #define MATORDERING_CONSTRAINED "constrained" 781 #define MATORDERING_IDENTITY "identity" 782 #define MATORDERING_REVERSE "reverse" 783 784 EXTERN PetscErrorCode MatGetOrdering(Mat,const MatOrderingType,IS*,IS*); 785 EXTERN PetscErrorCode MatOrderingRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatOrderingType,IS*,IS*)); 786 787 /*MC 788 MatOrderingRegisterDynamic - Adds a new sparse matrix ordering to the 789 matrix package. 790 791 Synopsis: 792 PetscErrorCode MatOrderingRegisterDynamic(char *name_ordering,char *path,char *name_create,PetscErrorCode (*routine_create)(MatOrdering)) 793 794 Not Collective 795 796 Input Parameters: 797 + sname - name of ordering (for example MATORDERING_ND) 798 . path - location of library where creation routine is 799 . name - name of function that creates the ordering type,a string 800 - function - function pointer that creates the ordering 801 802 Level: developer 803 804 If dynamic libraries are used, then the fourth input argument (function) 805 is ignored. 806 807 Sample usage: 808 .vb 809 MatOrderingRegisterDynamic("my_order",/home/username/my_lib/lib/libO/solaris/mylib.a, 810 "MyOrder",MyOrder); 811 .ve 812 813 Then, your partitioner can be chosen with the procedural interface via 814 $ MatOrderingSetType(part,"my_order) 815 or at runtime via the option 816 $ -pc_ilu_mat_ordering_type my_order 817 $ -pc_lu_mat_ordering_type my_order 818 819 ${PETSC_ARCH} and ${BOPT} occuring in pathname will be replaced with appropriate values. 820 821 .keywords: matrix, ordering, register 822 823 .seealso: MatOrderingRegisterDestroy(), MatOrderingRegisterAll() 824 M*/ 825 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 826 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,0) 827 #else 828 #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,d) 829 #endif 830 831 EXTERN PetscErrorCode MatOrderingRegisterDestroy(void); 832 EXTERN PetscErrorCode MatOrderingRegisterAll(const char[]); 833 extern PetscTruth MatOrderingRegisterAllCalled; 834 extern PetscFList MatOrderingList; 835 836 EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS); 837 838 /*S 839 MatFactorInfo - Data based into the matrix factorization routines 840 841 In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE 842 843 Notes: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC. 844 845 Level: developer 846 847 .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(), 848 MatFactorInfoInitialize() 849 850 S*/ 851 typedef struct { 852 PetscReal damping; /* scaling of identity added to matrix to prevent zero pivots */ 853 PetscReal shift; /* if true, shift until positive pivots */ 854 PetscReal shift_fraction; /* record shift fraction taken */ 855 PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */ 856 PetscReal dt; /* drop tolerance */ 857 PetscReal dtcol; /* tolerance for pivoting */ 858 PetscReal dtcount; /* maximum nonzeros to be allowed per row */ 859 PetscReal fill; /* expected fill; nonzeros in factored matrix/nonzeros in original matrix*/ 860 PetscReal levels; /* ICC/ILU(levels) */ 861 PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0 862 factorization may be faster if do not pivot */ 863 PetscReal zeropivot; /* pivot is called zero if less than this */ 864 } MatFactorInfo; 865 866 EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*); 867 EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,MatFactorInfo*); 868 EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,IS,MatFactorInfo*,Mat*); 869 EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat*); 870 EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,MatFactorInfo*); 871 EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,MatFactorInfo*); 872 EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,IS,IS,MatFactorInfo*,Mat*); 873 EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,IS,IS,MatFactorInfo*,Mat*); 874 EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,IS,MatFactorInfo*,Mat*); 875 EXTERN PetscErrorCode MatICCFactor(Mat,IS,MatFactorInfo*); 876 EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat*); 877 EXTERN PetscErrorCode MatILUDTFactor(Mat,MatFactorInfo*,IS,IS,Mat *); 878 EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*); 879 EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec); 880 EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec); 881 EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec); 882 EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec); 883 EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec); 884 EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec); 885 EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs); 886 887 EXTERN PetscErrorCode MatSetUnfactored(Mat); 888 889 /*E 890 MatSORType - What type of (S)SOR to perform 891 892 Level: beginner 893 894 May be bitwise ORd together 895 896 Any additions/changes here MUST also be made in include/finclude/petscmat.h 897 898 MatSORType may be bitwise ORd together, so do not change the numbers 899 900 .seealso: MatRelax(), MatPBRelax() 901 E*/ 902 typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3, 903 SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8, 904 SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16, 905 SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType; 906 EXTERN PetscErrorCode MatRelax(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec); 907 EXTERN PetscErrorCode MatPBRelax(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec); 908 909 /* 910 These routines are for efficiently computing Jacobians via finite differences. 911 */ 912 913 /*E 914 MatColoringType - String with the name of a PETSc matrix coloring or the creation function 915 with an optional dynamic library name, for example 916 http://www.mcs.anl.gov/petsc/lib.a:coloringcreate() 917 918 Level: beginner 919 920 .seealso: MatGetColoring() 921 E*/ 922 #define MatColoringType char* 923 #define MATCOLORING_NATURAL "natural" 924 #define MATCOLORING_SL "sl" 925 #define MATCOLORING_LF "lf" 926 #define MATCOLORING_ID "id" 927 928 EXTERN PetscErrorCode MatGetColoring(Mat,const MatColoringType,ISColoring*); 929 EXTERN PetscErrorCode MatColoringRegister(const char[],const char[],const char[],PetscErrorCode(*)(Mat,const MatColoringType,ISColoring *)); 930 931 /*MC 932 MatColoringRegisterDynamic - Adds a new sparse matrix coloring to the 933 matrix package. 934 935 Synopsis: 936 PetscErrorCode MatColoringRegisterDynamic(char *name_coloring,char *path,char *name_create,PetscErrorCode (*routine_create)(MatColoring)) 937 938 Not Collective 939 940 Input Parameters: 941 + sname - name of Coloring (for example MATCOLORING_SL) 942 . path - location of library where creation routine is 943 . name - name of function that creates the Coloring type, a string 944 - function - function pointer that creates the coloring 945 946 Level: developer 947 948 If dynamic libraries are used, then the fourth input argument (function) 949 is ignored. 950 951 Sample usage: 952 .vb 953 MatColoringRegisterDynamic("my_color",/home/username/my_lib/lib/libO/solaris/mylib.a, 954 "MyColor",MyColor); 955 .ve 956 957 Then, your partitioner can be chosen with the procedural interface via 958 $ MatColoringSetType(part,"my_color") 959 or at runtime via the option 960 $ -mat_coloring_type my_color 961 962 $PETSC_ARCH and $BOPT occuring in pathname will be replaced with appropriate values. 963 964 .keywords: matrix, Coloring, register 965 966 .seealso: MatColoringRegisterDestroy(), MatColoringRegisterAll() 967 M*/ 968 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 969 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,0) 970 #else 971 #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,d) 972 #endif 973 974 EXTERN PetscErrorCode MatColoringRegisterAll(const char[]); 975 extern PetscTruth MatColoringRegisterAllCalled; 976 EXTERN PetscErrorCode MatColoringRegisterDestroy(void); 977 EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*); 978 979 /*S 980 MatFDColoring - Object for computing a sparse Jacobian via finite differences 981 and coloring 982 983 Level: beginner 984 985 Concepts: coloring, sparse Jacobian, finite differences 986 987 .seealso: MatFDColoringCreate() 988 S*/ 989 typedef struct _p_MatFDColoring *MatFDColoring; 990 991 EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *); 992 EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring); 993 EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer); 994 EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*); 995 EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal); 996 EXTERN PetscErrorCode MatFDColoringSetFrequency(MatFDColoring,PetscInt); 997 EXTERN PetscErrorCode MatFDColoringGetFrequency(MatFDColoring,PetscInt*); 998 EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring); 999 EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,MatStructure*,void *); 1000 EXTERN PetscErrorCode MatFDColoringApplyTS(Mat,MatFDColoring,PetscReal,Vec,MatStructure*,void *); 1001 EXTERN PetscErrorCode MatFDColoringSetRecompute(MatFDColoring); 1002 EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec); 1003 EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,PetscInt*[]); 1004 /* 1005 These routines are for partitioning matrices: currently used only 1006 for adjacency matrix, MatCreateMPIAdj(). 1007 */ 1008 1009 /*S 1010 MatPartitioning - Object for managing the partitioning of a matrix or graph 1011 1012 Level: beginner 1013 1014 Concepts: partitioning 1015 1016 .seealso: MatPartitioningCreate(), MatPartitioningType 1017 S*/ 1018 typedef struct _p_MatPartitioning *MatPartitioning; 1019 1020 /*E 1021 MatPartitioningType - String with the name of a PETSc matrix partitioning or the creation function 1022 with an optional dynamic library name, for example 1023 http://www.mcs.anl.gov/petsc/lib.a:partitioningcreate() 1024 1025 Level: beginner 1026 1027 .seealso: MatPartitioningCreate(), MatPartitioning 1028 E*/ 1029 #define MatPartitioningType char* 1030 #define MAT_PARTITIONING_CURRENT "current" 1031 #define MAT_PARTITIONING_PARMETIS "parmetis" 1032 #define MAT_PARTITIONING_CHACO "chaco" 1033 #define MAT_PARTITIONING_JOSTLE "jostle" 1034 #define MAT_PARTITIONING_PARTY "party" 1035 #define MAT_PARTITIONING_SCOTCH "scotch" 1036 1037 1038 EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*); 1039 EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,const MatPartitioningType); 1040 EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt); 1041 EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat); 1042 EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]); 1043 EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []); 1044 EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*); 1045 EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning); 1046 1047 EXTERN PetscErrorCode MatPartitioningRegister(const char[],const char[],const char[],PetscErrorCode (*)(MatPartitioning)); 1048 1049 /*MC 1050 MatPartitioningRegisterDynamic - Adds a new sparse matrix partitioning to the 1051 matrix package. 1052 1053 Synopsis: 1054 PetscErrorCode MatPartitioningRegisterDynamic(char *name_partitioning,char *path,char *name_create,PetscErrorCode (*routine_create)(MatPartitioning)) 1055 1056 Not Collective 1057 1058 Input Parameters: 1059 + sname - name of partitioning (for example MAT_PARTITIONING_CURRENT) or parmetis 1060 . path - location of library where creation routine is 1061 . name - name of function that creates the partitioning type, a string 1062 - function - function pointer that creates the partitioning type 1063 1064 Level: developer 1065 1066 If dynamic libraries are used, then the fourth input argument (function) 1067 is ignored. 1068 1069 Sample usage: 1070 .vb 1071 MatPartitioningRegisterDynamic("my_part",/home/username/my_lib/lib/libO/solaris/mylib.a, 1072 "MyPartCreate",MyPartCreate); 1073 .ve 1074 1075 Then, your partitioner can be chosen with the procedural interface via 1076 $ MatPartitioningSetType(part,"my_part") 1077 or at runtime via the option 1078 $ -mat_partitioning_type my_part 1079 1080 $PETSC_ARCH and $BOPT occuring in pathname will be replaced with appropriate values. 1081 1082 .keywords: matrix, partitioning, register 1083 1084 .seealso: MatPartitioningRegisterDestroy(), MatPartitioningRegisterAll() 1085 M*/ 1086 #if defined(PETSC_USE_DYNAMIC_LIBRARIES) 1087 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,0) 1088 #else 1089 #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,d) 1090 #endif 1091 1092 EXTERN PetscErrorCode MatPartitioningRegisterAll(const char[]); 1093 extern PetscTruth MatPartitioningRegisterAllCalled; 1094 EXTERN PetscErrorCode MatPartitioningRegisterDestroy(void); 1095 1096 EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer); 1097 EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning); 1098 EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*); 1099 1100 EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning); 1101 1102 EXTERN PetscErrorCode MatPartitioningJostleSetCoarseLevel(MatPartitioning,PetscReal); 1103 EXTERN PetscErrorCode MatPartitioningJostleSetCoarseSequential(MatPartitioning); 1104 1105 typedef enum { MP_CHACO_MULTILEVEL_KL, MP_CHACO_SPECTRAL, MP_CHACO_LINEAR, 1106 MP_CHACO_RANDOM, MP_CHACO_SCATTERED } MPChacoGlobalType; 1107 EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType); 1108 typedef enum { MP_CHACO_KERNIGHAN_LIN, MP_CHACO_NONE } MPChacoLocalType; 1109 EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType); 1110 EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal); 1111 typedef enum { MP_CHACO_LANCZOS, MP_CHACO_RQI_SYMMLQ } MPChacoEigenType; 1112 EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType); 1113 EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal); 1114 EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt); 1115 1116 #define MP_PARTY_OPT "opt" 1117 #define MP_PARTY_LIN "lin" 1118 #define MP_PARTY_SCA "sca" 1119 #define MP_PARTY_RAN "ran" 1120 #define MP_PARTY_GBF "gbf" 1121 #define MP_PARTY_GCF "gcf" 1122 #define MP_PARTY_BUB "bub" 1123 #define MP_PARTY_DEF "def" 1124 EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char*); 1125 #define MP_PARTY_HELPFUL_SETS "hs" 1126 #define MP_PARTY_KERNIGHAN_LIN "kl" 1127 #define MP_PARTY_NONE "no" 1128 EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char*); 1129 EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal); 1130 EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscTruth); 1131 EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscTruth); 1132 1133 typedef enum { MP_SCOTCH_GREEDY, MP_SCOTCH_GPS, MP_SCOTCH_GR_GPS } MPScotchGlobalType; 1134 EXTERN PetscErrorCode MatPartitioningScotchSetArch(MatPartitioning,const char*); 1135 EXTERN PetscErrorCode MatPartitioningScotchSetMultilevel(MatPartitioning); 1136 EXTERN PetscErrorCode MatPartitioningScotchSetGlobal(MatPartitioning,MPScotchGlobalType); 1137 EXTERN PetscErrorCode MatPartitioningScotchSetCoarseLevel(MatPartitioning,PetscReal); 1138 EXTERN PetscErrorCode MatPartitioningScotchSetHostList(MatPartitioning,const char*); 1139 typedef enum { MP_SCOTCH_KERNIGHAN_LIN, MP_SCOTCH_NONE } MPScotchLocalType; 1140 EXTERN PetscErrorCode MatPartitioningScotchSetLocal(MatPartitioning,MPScotchLocalType); 1141 EXTERN PetscErrorCode MatPartitioningScotchSetMapping(MatPartitioning); 1142 EXTERN PetscErrorCode MatPartitioningScotchSetStrategy(MatPartitioning,char*); 1143 1144 /* 1145 If you add entries here you must also add them to finclude/petscmat.h 1146 */ 1147 typedef enum { MATOP_SET_VALUES=0, 1148 MATOP_GET_ROW=1, 1149 MATOP_RESTORE_ROW=2, 1150 MATOP_MULT=3, 1151 MATOP_MULT_ADD=4, 1152 MATOP_MULT_TRANSPOSE=5, 1153 MATOP_MULT_TRANSPOSE_ADD=6, 1154 MATOP_SOLVE=7, 1155 MATOP_SOLVE_ADD=8, 1156 MATOP_SOLVE_TRANSPOSE=9, 1157 MATOP_SOLVE_TRANSPOSE_ADD=10, 1158 MATOP_LUFACTOR=11, 1159 MATOP_CHOLESKYFACTOR=12, 1160 MATOP_RELAX=13, 1161 MATOP_TRANSPOSE=14, 1162 MATOP_GETINFO=15, 1163 MATOP_EQUAL=16, 1164 MATOP_GET_DIAGONAL=17, 1165 MATOP_DIAGONAL_SCALE=18, 1166 MATOP_NORM=19, 1167 MATOP_ASSEMBLY_BEGIN=20, 1168 MATOP_ASSEMBLY_END=21, 1169 MATOP_COMPRESS=22, 1170 MATOP_SET_OPTION=23, 1171 MATOP_ZERO_ENTRIES=24, 1172 MATOP_ZERO_ROWS=25, 1173 MATOP_LUFACTOR_SYMBOLIC=26, 1174 MATOP_LUFACTOR_NUMERIC=27, 1175 MATOP_CHOLESKY_FACTOR_SYMBOLIC=28, 1176 MATOP_CHOLESKY_FACTOR_NUMERIC=29, 1177 MATOP_SETUP_PREALLOCATION=30, 1178 MATOP_ILUFACTOR_SYMBOLIC=31, 1179 MATOP_ICCFACTOR_SYMBOLIC=32, 1180 MATOP_GET_ARRAY=33, 1181 MATOP_RESTORE_ARRAY=34, 1182 MATOP_DUPLCIATE=35, 1183 MATOP_FORWARD_SOLVE=36, 1184 MATOP_BACKWARD_SOLVE=37, 1185 MATOP_ILUFACTOR=38, 1186 MATOP_ICCFACTOR=39, 1187 MATOP_AXPY=40, 1188 MATOP_GET_SUBMATRICES=41, 1189 MATOP_INCREASE_OVERLAP=42, 1190 MATOP_GET_VALUES=43, 1191 MATOP_COPY=44, 1192 MATOP_PRINT_HELP=45, 1193 MATOP_SCALE=46, 1194 MATOP_SHIFT=47, 1195 MATOP_DIAGONAL_SHIFT=48, 1196 MATOP_ILUDT_FACTOR=49, 1197 MATOP_GET_BLOCK_SIZE=50, 1198 MATOP_GET_ROW_IJ=51, 1199 MATOP_RESTORE_ROW_IJ=52, 1200 MATOP_GET_COLUMN_IJ=53, 1201 MATOP_RESTORE_COLUMN_IJ=54, 1202 MATOP_FDCOLORING_CREATE=55, 1203 MATOP_COLORING_PATCH=56, 1204 MATOP_SET_UNFACTORED=57, 1205 MATOP_PERMUTE=58, 1206 MATOP_SET_VALUES_BLOCKED=59, 1207 MATOP_GET_SUBMATRIX=60, 1208 MATOP_DESTROY=61, 1209 MATOP_VIEW=62, 1210 MATOP_GET_MAPS=63, 1211 MATOP_USE_SCALED_FORM=64, 1212 MATOP_SCALE_SYSTEM=65, 1213 MATOP_UNSCALE_SYSTEM=66, 1214 MATOP_SET_LOCAL_TO_GLOBAL_MAP=67, 1215 MATOP_SET_VALUES_LOCAL=68, 1216 MATOP_ZERO_ROWS_LOCAL=69, 1217 MATOP_GET_ROW_MAX=70, 1218 MATOP_CONVERT=71, 1219 MATOP_SET_COLORING=72, 1220 MATOP_SET_VALUES_ADIC=73, 1221 MATOP_SET_VALUES_ADIFOR=74, 1222 MATOP_FD_COLORING_APPLY=75, 1223 MATOP_SET_FROM_OPTIONS=76, 1224 MATOP_MULT_CON=77, 1225 MATOP_MULT_TRANSPOSE_CON=78, 1226 MATOP_ILU_FACTOR_SYMBOLIC_CON=79, 1227 MATOP_PERMUTE_SPARSIFY=80, 1228 MATOP_MULT_MULTIPLE=81, 1229 MATOP_SOLVE_MULTIPLE=82, 1230 MATOP_GET_INERTIA=83, 1231 MATOP_LOAD=84, 1232 MATOP_IS_SYMMETRIC=85, 1233 MATOP_IS_HERMITIAN=86, 1234 MATOP_IS_STRUCTURALLY_SYMMETRIC=87, 1235 MATOP_PB_RELAX=88, 1236 MATOP_GET_VECS=89, 1237 MATOP_MAT_MULT=90, 1238 MATOP_MAT_MULT_SYMBOLIC=91, 1239 MATOP_MAT_MULT_NUMERIC=92, 1240 MATOP_PTAP=93, 1241 MATOP_PTAP_SYMBOLIC=94, 1242 MATOP_PTAP_NUMERIC=95, 1243 MATOP_MAT_MULTTRANSPOSE=96, 1244 MATOP_MAT_MULTTRANSPOSE_SYMBOLIC=97, 1245 MATOP_MAT_MULTTRANSPOSE_NUMERIC=98 1246 } MatOperation; 1247 EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscTruth*); 1248 EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void)); 1249 EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void)); 1250 EXTERN PetscErrorCode MatShellSetContext(Mat,void*); 1251 1252 /* 1253 Codes for matrices stored on disk. By default they are 1254 stored in a universal format. By changing the format with 1255 PetscViewerSetFormat(viewer,PETSC_VIEWER_BINARY_NATIVE); the matrices will 1256 be stored in a way natural for the matrix, for example dense matrices 1257 would be stored as dense. Matrices stored this way may only be 1258 read into matrices of the same time. 1259 */ 1260 #define MATRIX_BINARY_FORMAT_DENSE -1 1261 1262 EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal); 1263 EXTERN PetscErrorCode MatSeqAIJGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *); 1264 EXTERN PetscErrorCode MatMPIRowbsGetColor(Mat,ISColoring *); 1265 1266 EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*); 1267 1268 /*S 1269 MatNullSpace - Object that removes a null space from a vector, i.e. 1270 orthogonalizes the vector to a subsapce 1271 1272 Level: advanced 1273 1274 Concepts: matrix; linear operator, null space 1275 1276 Users manual sections: 1277 . sec_singular 1278 1279 .seealso: MatNullSpaceCreate() 1280 S*/ 1281 typedef struct _p_MatNullSpace* MatNullSpace; 1282 1283 EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscTruth,PetscInt,const Vec[],MatNullSpace*); 1284 EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace); 1285 EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec,Vec*); 1286 EXTERN PetscErrorCode MatNullSpaceAttach(Mat,MatNullSpace); 1287 EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat); 1288 1289 EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS); 1290 EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal); 1291 EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *); 1292 1293 1294 EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*); 1295 EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*); 1296 EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*); 1297 1298 EXTERN PetscErrorCode MatComputeExplicitOperator(Mat,Mat*); 1299 1300 EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec); 1301 1302 EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *); 1303 EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *); 1304 1305 PETSC_EXTERN_CXX_END 1306 #endif 1307