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