1 /* 2 Include file for the matrix component of PETSc 3 */ 4 #pragma once 5 6 #include <petscvec.h> 7 8 /* SUBMANSEC = Mat */ 9 10 /*S 11 Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without 12 an explicit sparse representation (such as matrix-free operators). Also used to hold representations of graphs 13 for graph operations such as coloring, `MatColoringCreate()` 14 15 Level: beginner 16 17 Note: 18 See [](doc_matrix), [](ch_matrices) and `MatType` for available matrix types 19 20 .seealso: [](doc_matrix), [](ch_matrices), `MatCreate()`, `MatType`, `MatSetType()`, `MatDestroy()` 21 S*/ 22 typedef struct _p_Mat *Mat; 23 24 /*J 25 MatType - String with the name of a PETSc matrix type. These are all the matrix formats that PETSc provides. 26 27 Level: beginner 28 29 Notes: 30 [](doc_matrix) for a table of available matrix types 31 32 Use `MatSetType()` or the options database keys `-mat_type` or `-dm_mat_type` to set the matrix format to use for a given `Mat` 33 34 .seealso: [](doc_matrix), [](ch_matrices), `MatSetType()`, `Mat`, `MatSolverType`, `MatRegister()` 35 J*/ 36 typedef const char *MatType; 37 #define MATSAME "same" 38 #define MATMAIJ "maij" 39 #define MATSEQMAIJ "seqmaij" 40 #define MATMPIMAIJ "mpimaij" 41 #define MATKAIJ "kaij" 42 #define MATSEQKAIJ "seqkaij" 43 #define MATMPIKAIJ "mpikaij" 44 #define MATIS "is" 45 #define MATAIJ "aij" 46 #define MATSEQAIJ "seqaij" 47 #define MATMPIAIJ "mpiaij" 48 #define MATAIJCRL "aijcrl" 49 #define MATSEQAIJCRL "seqaijcrl" 50 #define MATMPIAIJCRL "mpiaijcrl" 51 #define MATAIJCUSPARSE "aijcusparse" 52 #define MATSEQAIJCUSPARSE "seqaijcusparse" 53 #define MATMPIAIJCUSPARSE "mpiaijcusparse" 54 #define MATAIJHIPSPARSE "aijhipsparse" 55 #define MATSEQAIJHIPSPARSE "seqaijhipsparse" 56 #define MATMPIAIJHIPSPARSE "mpiaijhipsparse" 57 #define MATAIJKOKKOS "aijkokkos" 58 #define MATSEQAIJKOKKOS "seqaijkokkos" 59 #define MATMPIAIJKOKKOS "mpiaijkokkos" 60 #define MATAIJVIENNACL "aijviennacl" 61 #define MATSEQAIJVIENNACL "seqaijviennacl" 62 #define MATMPIAIJVIENNACL "mpiaijviennacl" 63 #define MATAIJPERM "aijperm" 64 #define MATSEQAIJPERM "seqaijperm" 65 #define MATMPIAIJPERM "mpiaijperm" 66 #define MATAIJSELL "aijsell" 67 #define MATSEQAIJSELL "seqaijsell" 68 #define MATMPIAIJSELL "mpiaijsell" 69 #define MATAIJMKL "aijmkl" 70 #define MATSEQAIJMKL "seqaijmkl" 71 #define MATMPIAIJMKL "mpiaijmkl" 72 #define MATBAIJMKL "baijmkl" 73 #define MATSEQBAIJMKL "seqbaijmkl" 74 #define MATMPIBAIJMKL "mpibaijmkl" 75 #define MATSHELL "shell" 76 #define MATCENTERING "centering" 77 #define MATDENSE "dense" 78 #define MATDENSECUDA "densecuda" 79 #define MATDENSEHIP "densehip" 80 #define MATSEQDENSE "seqdense" 81 #define MATSEQDENSECUDA "seqdensecuda" 82 #define MATSEQDENSEHIP "seqdensehip" 83 #define MATMPIDENSE "mpidense" 84 #define MATMPIDENSECUDA "mpidensecuda" 85 #define MATMPIDENSEHIP "mpidensehip" 86 #define MATELEMENTAL "elemental" 87 #define MATSCALAPACK "scalapack" 88 #define MATBAIJ "baij" 89 #define MATSEQBAIJ "seqbaij" 90 #define MATMPIBAIJ "mpibaij" 91 #define MATMPIADJ "mpiadj" 92 #define MATSBAIJ "sbaij" 93 #define MATSEQSBAIJ "seqsbaij" 94 #define MATMPISBAIJ "mpisbaij" 95 #define MATMFFD "mffd" 96 #define MATNORMAL "normal" 97 #define MATNORMALHERMITIAN "normalh" 98 #define MATLRC "lrc" 99 #define MATSCATTER "scatter" 100 #define MATBLOCKMAT "blockmat" 101 #define MATCOMPOSITE "composite" 102 #define MATFFT "fft" 103 #define MATFFTW "fftw" 104 #define MATSEQCUFFT "seqcufft" 105 #define MATSEQHIPFFT "seqhipfft" 106 #define MATTRANSPOSEMAT PETSC_DEPRECATED_MACRO(3, 18, 0, "MATTRANSPOSEVIRTUAL", ) "transpose" 107 #define MATTRANSPOSEVIRTUAL "transpose" 108 #define MATHERMITIANTRANSPOSEVIRTUAL "hermitiantranspose" 109 #define MATSCHURCOMPLEMENT "schurcomplement" 110 #define MATPYTHON "python" 111 #define MATHYPRE "hypre" 112 #define MATHYPRESTRUCT "hyprestruct" 113 #define MATHYPRESSTRUCT "hypresstruct" 114 #define MATSUBMATRIX "submatrix" 115 #define MATLOCALREF "localref" 116 #define MATNEST "nest" 117 #define MATPREALLOCATOR "preallocator" 118 #define MATSELL "sell" 119 #define MATSEQSELL "seqsell" 120 #define MATMPISELL "mpisell" 121 #define MATSELLCUDA "sellcuda" 122 #define MATSEQSELLCUDA "seqsellcuda" 123 #define MATMPISELLCUDA "mpisellcuda" 124 #define MATSELLHIP "sellhip" 125 #define MATSEQSELLHIP "seqsellhip" 126 #define MATMPISELLHIP "mpisellhip" 127 #define MATDUMMY "dummy" 128 #define MATLMVM "lmvm" 129 #define MATLMVMDFP "lmvmdfp" 130 #define MATLMVMDDFP "lmvmddfp" 131 #define MATLMVMBFGS "lmvmbfgs" 132 #define MATLMVMDBFGS "lmvmdbfgs" 133 #define MATLMVMDQN "lmvmdqn" 134 #define MATLMVMSR1 "lmvmsr1" 135 #define MATLMVMBROYDEN "lmvmbroyden" 136 #define MATLMVMBADBROYDEN "lmvmbadbroyden" 137 #define MATLMVMSYMBROYDEN "lmvmsymbroyden" 138 #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden" 139 #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden" 140 #define MATCONSTANTDIAGONAL "constantdiagonal" 141 #define MATDIAGONAL "diagonal" 142 #define MATHTOOL "htool" 143 #define MATH2OPUS "h2opus" 144 145 /*J 146 MatSolverType - String with the name of a PETSc factorization-based matrix solver type. 147 148 For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc 149 150 Level: beginner 151 152 Note: 153 `MATSOLVERUMFPACK`, `MATSOLVERCHOLMOD`, `MATSOLVERKLU`, `MATSOLVERSPQR` form the SuiteSparse package; you can use `--download-suitesparse` as 154 a ./configure option to install them 155 156 .seealso: [](sec_matfactor), [](ch_matrices), `MatGetFactor()`, `PCFactorSetMatSolverType()`, `PCFactorGetMatSolverType()` 157 J*/ 158 typedef const char *MatSolverType; 159 #define MATSOLVERSUPERLU "superlu" 160 #define MATSOLVERSUPERLU_DIST "superlu_dist" 161 #define MATSOLVERSTRUMPACK "strumpack" 162 #define MATSOLVERUMFPACK "umfpack" 163 #define MATSOLVERCHOLMOD "cholmod" 164 #define MATSOLVERKLU "klu" 165 #define MATSOLVERELEMENTAL "elemental" 166 #define MATSOLVERSCALAPACK "scalapack" 167 #define MATSOLVERESSL "essl" 168 #define MATSOLVERLUSOL "lusol" 169 #define MATSOLVERMUMPS "mumps" 170 #define MATSOLVERMKL_PARDISO "mkl_pardiso" 171 #define MATSOLVERMKL_CPARDISO "mkl_cpardiso" 172 #define MATSOLVERPASTIX "pastix" 173 #define MATSOLVERMATLAB "matlab" 174 #define MATSOLVERPETSC "petsc" 175 #define MATSOLVERBAS "bas" 176 #define MATSOLVERCUSPARSE "cusparse" 177 #define MATSOLVERCUDA "cuda" 178 #define MATSOLVERHIPSPARSE "hipsparse" 179 #define MATSOLVERHIP "hip" 180 #define MATSOLVERKOKKOS "kokkos" 181 #define MATSOLVERSPQR "spqr" 182 #define MATSOLVERHTOOL "htool" 183 184 /*E 185 MatFactorType - indicates what type of factorization is requested 186 187 Values: 188 + `MAT_FACTOR_LU` - LU factorization 189 . `MAT_FACTOR_CHOLESKY` - Cholesky factorization 190 . `MAT_FACTOR_ILU` - ILU factorization 191 . `MAT_FACTOR_ICC` - incomplete Cholesky factorization 192 . `MAT_FACTOR_ILUDT` - ILU factorization with drop tolerance 193 - `MAT_FACTOR_QR` - QR factorization 194 195 Level: beginner 196 197 .seealso: [](ch_matrices), `MatSolverType`, `MatGetFactor()`, `MatGetFactorAvailable()`, `MatSolverTypeRegister()` 198 E*/ 199 typedef enum { 200 MAT_FACTOR_NONE, 201 MAT_FACTOR_LU, 202 MAT_FACTOR_CHOLESKY, 203 MAT_FACTOR_ILU, 204 MAT_FACTOR_ICC, 205 MAT_FACTOR_ILUDT, 206 MAT_FACTOR_QR, 207 MAT_FACTOR_NUM_TYPES 208 } MatFactorType; 209 PETSC_EXTERN const char *const MatFactorTypes[]; 210 211 PETSC_EXTERN PetscErrorCode MatGetFactor(Mat, MatSolverType, MatFactorType, Mat *); 212 PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat, MatSolverType, MatFactorType, PetscBool *); 213 PETSC_EXTERN PetscErrorCode MatFactorGetCanUseOrdering(Mat, PetscBool *); 214 PETSC_DEPRECATED_FUNCTION(3, 15, 0, "MatFactorGetCanUseOrdering()", ) static inline PetscErrorCode MatFactorGetUseOrdering(Mat A, PetscBool *b) 215 { 216 return MatFactorGetCanUseOrdering(A, b); 217 } 218 PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat, MatSolverType *); 219 PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat, MatFactorType *); 220 PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat, MatFactorType); 221 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatSolverFn(Mat, MatFactorType, Mat *); 222 PETSC_EXTERN_TYPEDEF typedef MatSolverFn *MatSolverFunction; 223 224 PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType, MatType, MatFactorType, MatSolverFn *); 225 PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType, MatType, MatFactorType, PetscBool *, PetscBool *, MatSolverFn **); 226 typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF(3, 9, 0, "MatSolverType", ); 227 PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeRegister()", ) static inline PetscErrorCode MatSolverPackageRegister(MatSolverType stype, MatType mtype, MatFactorType ftype, MatSolverFn *f) 228 { 229 return MatSolverTypeRegister(stype, mtype, ftype, f); 230 } 231 PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeGet()", ) static inline PetscErrorCode MatSolverPackageGet(MatSolverType stype, MatType mtype, MatFactorType ftype, PetscBool *foundmtype, PetscBool *foundstype, MatSolverFn **f) 232 { 233 return MatSolverTypeGet(stype, mtype, ftype, foundmtype, foundstype, f); 234 } 235 236 /*E 237 MatProductType - indicates what type of matrix product to compute 238 239 Values: 240 + `MATPRODUCT_AB` - product of two matrices 241 . `MATPRODUCT_AtB` - product of the transpose of a given matrix with a matrix 242 . `MATPRODUCT_ABt` - product of a matrix with the transpose of another given matrix 243 . `MATPRODUCT_PtAP` - the triple product of the transpose of a matrix with another matrix and itself 244 . `MATPRODUCT_RARt` - the triple product of a matrix, another matrix and the transpose of the first matrix 245 - `MATPRODUCT_ABC` - the product of three matrices 246 247 Level: beginner 248 249 .seealso: [](sec_matmatproduct), [](ch_matrices), `MatProductSetType()` 250 E*/ 251 typedef enum { 252 MATPRODUCT_UNSPECIFIED, 253 MATPRODUCT_AB, 254 MATPRODUCT_AtB, 255 MATPRODUCT_ABt, 256 MATPRODUCT_PtAP, 257 MATPRODUCT_RARt, 258 MATPRODUCT_ABC 259 } MatProductType; 260 PETSC_EXTERN const char *const MatProductTypes[]; 261 262 /*J 263 MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation 264 265 Level: beginner 266 267 .seealso: [](sec_matmatproduct), [](ch_matrices), `MatSetType()`, `Mat`, `MatProductSetAlgorithm()`, `MatProductType` 268 J*/ 269 typedef const char *MatProductAlgorithm; 270 #define MATPRODUCTALGORITHMDEFAULT "default" 271 #define MATPRODUCTALGORITHMSORTED "sorted" 272 #define MATPRODUCTALGORITHMSCALABLE "scalable" 273 #define MATPRODUCTALGORITHMSCALABLEFAST "scalable_fast" 274 #define MATPRODUCTALGORITHMHEAP "heap" 275 #define MATPRODUCTALGORITHMBHEAP "btheap" 276 #define MATPRODUCTALGORITHMLLCONDENSED "llcondensed" 277 #define MATPRODUCTALGORITHMROWMERGE "rowmerge" 278 #define MATPRODUCTALGORITHMOUTERPRODUCT "outerproduct" 279 #define MATPRODUCTALGORITHMATB "at*b" 280 #define MATPRODUCTALGORITHMRAP "rap" 281 #define MATPRODUCTALGORITHMNONSCALABLE "nonscalable" 282 #define MATPRODUCTALGORITHMSEQMPI "seqmpi" 283 #define MATPRODUCTALGORITHMBACKEND "backend" 284 #define MATPRODUCTALGORITHMOVERLAPPING "overlapping" 285 #define MATPRODUCTALGORITHMMERGED "merged" 286 #define MATPRODUCTALGORITHMALLATONCE "allatonce" 287 #define MATPRODUCTALGORITHMALLATONCEMERGED "allatonce_merged" 288 #define MATPRODUCTALGORITHMALLGATHERV "allgatherv" 289 #define MATPRODUCTALGORITHMCYCLIC "cyclic" 290 #define MATPRODUCTALGORITHMHYPRE "hypre" 291 292 PETSC_EXTERN PetscErrorCode MatProductCreate(Mat, Mat, Mat, Mat *); 293 PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat, Mat, Mat, Mat); 294 PETSC_EXTERN PetscErrorCode MatProductSetType(Mat, MatProductType); 295 PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat, MatProductAlgorithm); 296 PETSC_EXTERN PetscErrorCode MatProductGetAlgorithm(Mat, MatProductAlgorithm *); 297 PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat, PetscReal); 298 PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat); 299 PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat); 300 PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat); 301 PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat, Mat, Mat, Mat); 302 PETSC_EXTERN PetscErrorCode MatProductClear(Mat); 303 PETSC_EXTERN PetscErrorCode MatProductView(Mat, PetscViewer); 304 PETSC_EXTERN PetscErrorCode MatProductGetType(Mat, MatProductType *); 305 PETSC_EXTERN PetscErrorCode MatProductGetMats(Mat, Mat *, Mat *, Mat *); 306 307 /* Logging support */ 308 #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */ 309 PETSC_EXTERN PetscClassId MAT_CLASSID; 310 PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID; 311 PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID; 312 PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID; 313 PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID; 314 PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID; 315 PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID; 316 PETSC_EXTERN PetscClassId MATMFFD_CLASSID; 317 318 /*E 319 MatReuse - Indicates if matrices obtained from a previous call to `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatConvert()` or several other functions 320 are to be reused to store the new matrix values. 321 322 Values: 323 + `MAT_INITIAL_MATRIX` - create a new matrix 324 . `MAT_REUSE_MATRIX` - reuse the matrix created with a previous call that used `MAT_INITIAL_MATRIX` 325 . `MAT_INPLACE_MATRIX` - replace the first input matrix with the new matrix (not applicable to all functions) 326 - `MAT_IGNORE_MATRIX` - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions) 327 328 Level: beginner 329 330 .seealso: [](ch_matrices), `Mat`, `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatDestroyMatrices()`, `MatConvert()` 331 E*/ 332 typedef enum { 333 MAT_INITIAL_MATRIX, 334 MAT_REUSE_MATRIX, 335 MAT_IGNORE_MATRIX, 336 MAT_INPLACE_MATRIX 337 } MatReuse; 338 339 /*E 340 MatCreateSubMatrixOption - Indicates if matrices obtained from a call to `MatCreateSubMatrices()` 341 include the matrix values. Currently it is only used by `MatGetSeqNonzeroStructure()`. 342 343 Values: 344 + `MAT_DO_NOT_GET_VALUES` - do not copy the matrix values 345 - `MAT_GET_VALUES` - copy the matrix values 346 347 Level: developer 348 349 Developer Note: 350 Why is not just a boolean used for this information? 351 352 .seealso: [](ch_matrices), `Mat`, `MatDuplicateOption`, `PetscCopyMode`, `MatGetSeqNonzeroStructure()` 353 E*/ 354 typedef enum { 355 MAT_DO_NOT_GET_VALUES, 356 MAT_GET_VALUES 357 } MatCreateSubMatrixOption; 358 359 PETSC_EXTERN PetscErrorCode MatInitializePackage(void); 360 PETSC_EXTERN PetscErrorCode MatFinalizePackage(void); 361 362 PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm, Mat *); 363 PETSC_EXTERN PetscErrorCode MatCreateFromOptions(MPI_Comm, const char *, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *); 364 PETSC_EXTERN PetscErrorCode MatSetSizes(Mat, PetscInt, PetscInt, PetscInt, PetscInt); 365 PETSC_EXTERN PetscErrorCode MatSetType(Mat, MatType); 366 PETSC_EXTERN PetscErrorCode MatGetVecType(Mat, VecType *); 367 PETSC_EXTERN PetscErrorCode MatSetVecType(Mat, VecType); 368 PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat); 369 PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat, PetscObject, const char[]); 370 PETSC_EXTERN PetscErrorCode MatRegister(const char[], PetscErrorCode (*)(Mat)); 371 PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[], const char[], const char[]); 372 PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat, const char[]); 373 PETSC_EXTERN PetscErrorCode MatSetOptionsPrefixFactor(Mat, const char[]); 374 PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefixFactor(Mat, const char[]); 375 PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat, const char[]); 376 PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat, const char *[]); 377 PETSC_EXTERN PetscErrorCode MatGetState(Mat, PetscObjectState *); 378 PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat, PetscBool); 379 380 PETSC_EXTERN PetscFunctionList MatList; 381 PETSC_EXTERN PetscFunctionList MatColoringList; 382 PETSC_EXTERN PetscFunctionList MatPartitioningList; 383 384 /*E 385 MatStructure - Indicates if two matrices have the same nonzero structure 386 387 Values: 388 + `SAME_NONZERO_PATTERN` - the two matrices have identical nonzero patterns 389 . `DIFFERENT_NONZERO_PATTERN` - the two matrices may have different nonzero patterns 390 . `SUBSET_NONZERO_PATTERN` - the nonzero pattern of the second matrix is a subset of the nonzero pattern of the first matrix 391 - `UNKNOWN_NONZERO_PATTERN` - there is no known relationship between the nonzero patterns. In this case the implementations 392 may try to detect a relationship to optimize the operation 393 394 Level: beginner 395 396 Note: 397 Certain matrix operations (such as `MatAXPY()`) can run much faster if the sparsity pattern of the matrices are the same. But actually determining if 398 the patterns are the same may be costly. This provides a way for users who know something about the sparsity patterns to provide this information 399 to certain PETSc routines. 400 401 .seealso: [](ch_matrices), `Mat`, `MatCopy()`, `MatAXPY()`, `MatAYPX()` 402 E*/ 403 typedef enum { 404 DIFFERENT_NONZERO_PATTERN, 405 SUBSET_NONZERO_PATTERN, 406 SAME_NONZERO_PATTERN, 407 UNKNOWN_NONZERO_PATTERN 408 } MatStructure; 409 PETSC_EXTERN const char *const MatStructures[]; 410 411 #if defined PETSC_HAVE_MKL_SPARSE 412 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 413 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 414 PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 415 PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 416 #endif 417 418 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 419 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 420 421 PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 422 PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 423 PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat, PetscInt, const PetscInt[]); 424 PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 425 PETSC_EXTERN PetscErrorCode MatSeqSELLGetFillRatio(Mat, PetscReal *); 426 PETSC_EXTERN PetscErrorCode MatSeqSELLGetMaxSliceWidth(Mat, PetscInt *); 427 PETSC_EXTERN PetscErrorCode MatSeqSELLGetAvgSliceWidth(Mat, PetscReal *); 428 PETSC_EXTERN PetscErrorCode MatSeqSELLSetSliceHeight(Mat, PetscInt); 429 PETSC_EXTERN PetscErrorCode MatSeqSELLGetVarSliceSize(Mat, PetscReal *); 430 431 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 432 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 433 PETSC_EXTERN PetscErrorCode MatMPISELLGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *); 434 PETSC_EXTERN PetscErrorCode MatMPISELLGetSeqSELL(Mat, Mat *, Mat *, const PetscInt *[]); 435 436 PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *); 437 PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *); 438 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 439 PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 440 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *); 441 PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]); 442 PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArray(Mat, const PetscScalar[]); 443 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], PetscInt[], PetscInt[], PetscScalar[], Mat *); 444 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm, PetscInt, PetscInt, Mat, Mat, PetscInt *, Mat *); 445 446 PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 447 PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 448 PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *); 449 450 PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat, PetscCount, PetscInt[], PetscInt[]); 451 PETSC_EXTERN PetscErrorCode MatSetPreallocationCOOLocal(Mat, PetscCount, PetscInt[], PetscInt[]); 452 PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat, const PetscScalar[], InsertMode); 453 454 PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscInt[], Mat *); 455 PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 456 457 PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 458 PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *); 459 PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]); 460 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]); 461 PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscInt[], const PetscInt[]); 462 463 PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, void *, Mat *); 464 PETSC_EXTERN PetscErrorCode MatCreateCentering(MPI_Comm, PetscInt, PetscInt, Mat *); 465 PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat, Mat *); 466 PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat, Mat *); 467 PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat, Mat, Vec, Mat, Mat *); 468 PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat, Mat *, Mat *, Vec *, Mat *); 469 PETSC_EXTERN PetscErrorCode MatLRCSetMats(Mat, Mat, Mat, Vec, Mat); 470 PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, ISLocalToGlobalMapping, ISLocalToGlobalMapping, Mat *); 471 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 472 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 473 474 PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm, VecScatter, Mat *); 475 PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat, VecScatter); 476 PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat, VecScatter *); 477 PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt *, Mat *); 478 PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat, Mat); 479 PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat); 480 typedef enum { 481 MAT_COMPOSITE_MERGE_RIGHT, 482 MAT_COMPOSITE_MERGE_LEFT 483 } MatCompositeMergeType; 484 PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat, MatCompositeMergeType); 485 PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm, PetscInt, const Mat *, Mat *); 486 /*E 487 MatCompositeType - indicates what type of `MATCOMPOSITE` is used 488 489 Values: 490 + `MAT_COMPOSITE_ADDITIVE` - sum of matrices (default) 491 - `MAT_COMPOSITE_MULTIPLICATIVE` - product of matrices 492 493 Level: beginner 494 495 .seealso: [](ch_matrices), `MATCOMPOSITE`, `MatCompositeSetType()`, `MatCompositeGetType()` 496 E*/ 497 typedef enum { 498 MAT_COMPOSITE_ADDITIVE, 499 MAT_COMPOSITE_MULTIPLICATIVE 500 } MatCompositeType; 501 PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat, MatCompositeType); 502 PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat, MatCompositeType *); 503 PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat, MatStructure); 504 PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat, MatStructure *); 505 PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat, PetscInt *); 506 PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat, PetscInt, Mat *); 507 PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat, const PetscScalar *); 508 509 PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm, PetscInt, const PetscInt[], MatType, Mat *); 510 PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm, PetscInt, const PetscInt[], Mat *); 511 512 PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat, Mat *); 513 PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat, Mat *); 514 PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat, Mat *); 515 PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat, Mat *); 516 PETSC_EXTERN PetscErrorCode MatNormalGetMat(Mat, Mat *); 517 PETSC_EXTERN PetscErrorCode MatNormalHermitianGetMat(Mat, Mat *); 518 PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat, IS, IS, Mat *); 519 PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat, Mat, IS, IS); 520 PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat, IS, IS, Mat *); 521 PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar, Mat *); 522 PETSC_EXTERN PetscErrorCode MatCreateDiagonal(Vec, Mat *); 523 PETSC_EXTERN PetscErrorCode MatDiagonalGetDiagonal(Mat, Vec *); 524 PETSC_EXTERN PetscErrorCode MatDiagonalRestoreDiagonal(Mat, Vec *); 525 PETSC_EXTERN PetscErrorCode MatDiagonalGetInverseDiagonal(Mat, Vec *); 526 PETSC_EXTERN PetscErrorCode MatDiagonalRestoreInverseDiagonal(Mat, Vec *); 527 PETSC_EXTERN PetscErrorCode MatConstantDiagonalGetConstant(Mat, PetscScalar *); 528 PETSC_EXTERN PetscErrorCode MatGetCurrentMemType(Mat, PetscMemType *); 529 530 #if defined(PETSC_HAVE_HYPRE) 531 PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 532 #endif 533 534 PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat, const char[]); 535 PETSC_EXTERN PetscErrorCode MatPythonGetType(Mat, const char *[]); 536 PETSC_EXTERN PetscErrorCode MatPythonCreate(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const char[], Mat *); 537 538 PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat); 539 PETSC_EXTERN PetscErrorCode MatResetHash(Mat); 540 PETSC_EXTERN PetscErrorCode MatSetUp(Mat); 541 PETSC_EXTERN PetscErrorCode MatDestroy(Mat *); 542 PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat, PetscObjectState *); 543 544 PETSC_EXTERN PetscErrorCode MatConjugate(Mat); 545 PETSC_EXTERN PetscErrorCode MatRealPart(Mat); 546 PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat); 547 PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat, Mat *); 548 PETSC_EXTERN PetscErrorCode MatGetTrace(Mat, PetscScalar *); 549 PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat, const PetscScalar **); 550 PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat, PetscInt, const PetscInt *, PetscScalar *); 551 PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat, Mat); 552 PETSC_EXTERN PetscErrorCode MatInvertVariableBlockEnvelope(Mat, MatReuse, Mat *); 553 PETSC_EXTERN PetscErrorCode MatComputeVariableBlockEnvelope(Mat); 554 555 PETSC_EXTERN PetscErrorCode MatSetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 556 PETSC_EXTERN PetscErrorCode MatSetValuesIS(Mat, IS, IS, const PetscScalar[], InsertMode); 557 PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 558 PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat, PetscInt, const PetscScalar[]); 559 PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat, PetscInt, const PetscScalar[]); 560 PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat, PetscInt, PetscInt, PetscInt[], const PetscScalar[]); 561 PETSC_EXTERN PetscErrorCode MatSetRandom(Mat, PetscRandom); 562 563 /*S 564 MatStencil - Data structure (C struct) for storing information about rows and 565 columns of a matrix as indexed on an associated grid. These are arguments to `MatSetStencil()` and `MatSetBlockStencil()` 566 567 Level: beginner 568 569 Notes: 570 The i,j, and k represent the logical coordinates over the entire grid (for 2 and 1 dimensional problems the k and j entries are ignored). 571 The c represents the degrees of freedom at each grid point (the dof argument to `DMDASetDOF()`). If dof is 1 then this entry is ignored. 572 573 For stencil access to vectors see `DMDAVecGetArray()` 574 575 For staggered grids, see `DMStagStencil` 576 577 .seealso: [](ch_matrices), `Mat`, `MatSetValuesStencil()`, `MatSetStencil()`, `MatSetValuesBlockedStencil()`, `DMDAVecGetArray()` 578 `DMStagStencil` 579 S*/ 580 typedef struct { 581 PetscInt k, j, i, c; 582 } MatStencil; 583 584 PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode); 585 PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode); 586 PETSC_EXTERN PetscErrorCode MatSetStencil(Mat, PetscInt, const PetscInt[], const PetscInt[], PetscInt); 587 588 /*E 589 MatAssemblyType - Indicates if the process of setting values into the matrix is complete, and the matrix is ready for use 590 591 Values: 592 + `MAT_FLUSH_ASSEMBLY` - you will continue to put values into the matrix 593 - `MAT_FINAL_ASSEMBLY` - you wish to use the matrix with the values currently inserted 594 595 Level: beginner 596 597 .seealso: [](ch_matrices), `Mat`, `MatSetValues`, `MatAssemblyBegin()`, `MatAssemblyEnd()` 598 E*/ 599 typedef enum { 600 MAT_FLUSH_ASSEMBLY = 1, 601 MAT_FINAL_ASSEMBLY = 0 602 } MatAssemblyType; 603 604 PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat, MatAssemblyType); 605 PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat, MatAssemblyType); 606 PETSC_EXTERN PetscErrorCode MatAssembled(Mat, PetscBool *); 607 608 /*E 609 MatOption - Options that may be set for a matrix that indicate properties of the matrix or affect its behavior or storage 610 611 Level: beginner 612 613 Note: 614 See `MatSetOption()` for the use of the options 615 616 Developer Note: 617 Entries that are negative need not be called collectively by all processes. 618 619 .seealso: [](ch_matrices), `Mat`, `MatSetOption()` 620 E*/ 621 typedef enum { 622 MAT_OPTION_MIN = -3, 623 MAT_UNUSED_NONZERO_LOCATION_ERR = -2, 624 MAT_ROW_ORIENTED = -1, 625 MAT_SYMMETRIC = 1, 626 MAT_STRUCTURALLY_SYMMETRIC = 2, 627 MAT_FORCE_DIAGONAL_ENTRIES = 3, 628 MAT_IGNORE_OFF_PROC_ENTRIES = 4, 629 MAT_USE_HASH_TABLE = 5, 630 MAT_KEEP_NONZERO_PATTERN = 6, 631 MAT_IGNORE_ZERO_ENTRIES = 7, 632 MAT_USE_INODES = 8, 633 MAT_HERMITIAN = 9, 634 MAT_SYMMETRY_ETERNAL = 10, 635 MAT_NEW_NONZERO_LOCATION_ERR = 11, 636 MAT_IGNORE_LOWER_TRIANGULAR = 12, 637 MAT_ERROR_LOWER_TRIANGULAR = 13, 638 MAT_GETROW_UPPERTRIANGULAR = 14, 639 MAT_SPD = 15, 640 MAT_NO_OFF_PROC_ZERO_ROWS = 16, 641 MAT_NO_OFF_PROC_ENTRIES = 17, 642 MAT_NEW_NONZERO_LOCATIONS = 18, 643 MAT_NEW_NONZERO_ALLOCATION_ERR = 19, 644 MAT_SUBSET_OFF_PROC_ENTRIES = 20, 645 MAT_SUBMAT_SINGLEIS = 21, 646 MAT_STRUCTURE_ONLY = 22, 647 MAT_SORTED_FULL = 23, 648 MAT_FORM_EXPLICIT_TRANSPOSE = 24, 649 MAT_STRUCTURAL_SYMMETRY_ETERNAL = 25, 650 MAT_SPD_ETERNAL = 26, 651 MAT_OPTION_MAX = 27 652 } MatOption; 653 654 PETSC_EXTERN const char *const *MatOptions; 655 PETSC_EXTERN PetscErrorCode MatSetOption(Mat, MatOption, PetscBool); 656 PETSC_EXTERN PetscErrorCode MatGetOption(Mat, MatOption, PetscBool *); 657 PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat, Mat); 658 PETSC_EXTERN PetscErrorCode MatGetType(Mat, MatType *); 659 660 PETSC_EXTERN PetscErrorCode MatGetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]); 661 PETSC_EXTERN PetscErrorCode MatGetRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]); 662 PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]); 663 PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat); 664 PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat); 665 PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat, Vec, PetscInt); 666 PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat, PetscScalar *[]); 667 PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat, const PetscScalar *[]); 668 PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayWrite(Mat, PetscScalar *[]); 669 PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat, PetscScalar *[]); 670 PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat, const PetscScalar *[]); 671 PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayWrite(Mat, PetscScalar *[]); 672 PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat, PetscInt *); 673 PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 674 PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat, MatType); 675 PETSC_EXTERN PetscErrorCode MatSeqAIJKron(Mat, Mat, MatReuse, Mat *); 676 PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[], PetscErrorCode (*)(Mat, MatType, MatReuse, Mat *)); 677 PETSC_EXTERN PetscFunctionList MatSeqAIJList; 678 PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat, PetscScalar *[]); 679 PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat, PetscScalar *[]); 680 PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat, PetscScalar *[]); 681 PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat, PetscScalar *[]); 682 PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat, PetscScalar *[]); 683 PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat, PetscScalar *[]); 684 PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat, const PetscScalar[]); 685 PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat, const PetscScalar[]); 686 PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat); 687 PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat, const PetscScalar *[]); 688 PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat, const PetscScalar *[]); 689 PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat, PetscScalar *[]); 690 PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat, PetscScalar *[]); 691 PETSC_EXTERN PetscErrorCode MatDenseGetArrayAndMemType(Mat, PetscScalar *[], PetscMemType *); 692 PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayAndMemType(Mat, PetscScalar *[]); 693 PETSC_EXTERN PetscErrorCode MatDenseGetArrayReadAndMemType(Mat, const PetscScalar *[], PetscMemType *); 694 PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat, const PetscScalar *[]); 695 PETSC_EXTERN PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat, PetscScalar *[], PetscMemType *); 696 PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat, PetscScalar *[]); 697 PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat, PetscInt *); 698 PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat, PetscInt); 699 PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat, PetscInt *, PetscInt *); 700 PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat, PetscInt, PetscInt); 701 PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat, Mat, Mat); 702 PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat, PetscInt, const PetscInt[]); 703 PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat, PetscInt *, const PetscInt *[]); 704 PETSC_EXTERN PetscErrorCode MatSelectVariableBlockSizes(Mat, Mat, IS); 705 706 PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat, PetscInt, PetscScalar *[]); 707 PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat, PetscScalar *[]); 708 PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat, PetscInt, Vec *); 709 PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat, PetscInt, Vec *); 710 PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat, PetscInt, Vec *); 711 PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat, PetscInt, Vec *); 712 PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat, PetscInt, Vec *); 713 PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat, PetscInt, Vec *); 714 PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *); 715 PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat, Mat *); 716 717 PETSC_EXTERN PetscErrorCode MatMult(Mat, Vec, Vec); 718 PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat, Vec, Vec); 719 PETSC_EXTERN PetscErrorCode MatMultAdd(Mat, Vec, Vec, Vec); 720 PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat, Vec, Vec); 721 PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat, Vec, Vec); 722 PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat, Mat, PetscReal, PetscBool *); 723 PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat, Mat, PetscReal, PetscBool *); 724 PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat, Vec, Vec, Vec); 725 PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat, Vec, Vec, Vec); 726 PETSC_EXTERN PetscErrorCode MatMatSolve(Mat, Mat, Mat); 727 PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat, Mat, Mat); 728 PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat, Mat, Mat); 729 PETSC_EXTERN PetscErrorCode MatResidual(Mat, Vec, Vec, Vec); 730 731 /*E 732 MatDuplicateOption - Indicates if a duplicated sparse matrix should have 733 its numerical values copied over or just its nonzero structure. 734 735 Values: 736 + `MAT_DO_NOT_COPY_VALUES` - Create a matrix using the same nonzero pattern as the original matrix, 737 with zeros for the numerical values 738 . `MAT_COPY_VALUES` - Create a matrix with the same nonzero pattern as the original matrix 739 and with the same numerical values. 740 - `MAT_SHARE_NONZERO_PATTERN` - Create a matrix that shares the nonzero structure with the previous matrix 741 and does not copy it, using zeros for the numerical values. The parent and 742 child matrices will share their index (i and j) arrays, and you cannot 743 insert new nonzero entries into either matrix 744 745 Level: beginner 746 747 Note: 748 Many matrix types (including `MATSEQAIJ`) do not support the `MAT_SHARE_NONZERO_PATTERN` optimization; in 749 this case the behavior is as if `MAT_DO_NOT_COPY_VALUES` has been specified. 750 751 .seealso: [](ch_matrices), `Mat`, `MatDuplicate()` 752 E*/ 753 typedef enum { 754 MAT_DO_NOT_COPY_VALUES, 755 MAT_COPY_VALUES, 756 MAT_SHARE_NONZERO_PATTERN 757 } MatDuplicateOption; 758 759 PETSC_EXTERN PetscErrorCode MatConvert(Mat, MatType, MatReuse, Mat *); 760 PETSC_EXTERN PetscErrorCode MatDuplicate(Mat, MatDuplicateOption, Mat *); 761 762 PETSC_EXTERN PetscErrorCode MatCopy(Mat, Mat, MatStructure); 763 PETSC_EXTERN PetscErrorCode MatView(Mat, PetscViewer); 764 PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat, PetscReal, PetscBool *); 765 PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat, PetscBool *); 766 PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat, PetscReal, PetscBool *); 767 PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat, PetscBool *, PetscBool *); 768 PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat, PetscBool *, PetscBool *); 769 PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetricKnown(Mat, PetscBool *, PetscBool *); 770 PETSC_EXTERN PetscErrorCode MatIsSPDKnown(Mat, PetscBool *, PetscBool *); 771 PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat, PetscBool *, PetscInt *); 772 PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer); 773 774 PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *); 775 PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *); 776 PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *); 777 PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *); 778 779 /*S 780 MatInfo - Context of matrix information, used with `MatGetInfo()` 781 782 Level: intermediate 783 784 Fortran Note: 785 `MatInfo` is a derived type, use e.g. `matinfo%nz_allocated` to access its components. 786 787 .seealso: [](ch_matrices), `Mat`, `MatGetInfo()`, `MatInfoType` 788 S*/ 789 typedef struct { 790 PetscLogDouble block_size; /* block size */ 791 PetscLogDouble nz_allocated, nz_used, nz_unneeded; /* number of nonzeros */ 792 PetscLogDouble memory; /* memory allocated */ 793 PetscLogDouble assemblies; /* number of matrix assemblies called */ 794 PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */ 795 PetscLogDouble fill_ratio_given, fill_ratio_needed; /* fill ratio for LU/ILU */ 796 PetscLogDouble factor_mallocs; /* number of mallocs during factorization */ 797 } MatInfo; 798 799 /*E 800 MatInfoType - Indicates if you want information about the local part of the matrix, 801 the entire parallel matrix or the maximum over all the local parts. 802 803 Values: 804 + `MAT_LOCAL` - values for each MPI process part of the matrix 805 . `MAT_GLOBAL_MAX` - maximum of each value over all MPI processes 806 - `MAT_GLOBAL_SUM` - sum of each value over all MPI processes 807 808 Level: beginner 809 810 .seealso: [](ch_matrices), `MatGetInfo()`, `MatInfo` 811 E*/ 812 typedef enum { 813 MAT_LOCAL = 1, 814 MAT_GLOBAL_MAX = 2, 815 MAT_GLOBAL_SUM = 3 816 } MatInfoType; 817 PETSC_EXTERN PetscErrorCode MatGetInfo(Mat, MatInfoType, MatInfo *); 818 PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat, Vec); 819 PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat, Vec, PetscInt[]); 820 PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat, Vec, PetscInt[]); 821 PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat, Vec, PetscInt[]); 822 PETSC_EXTERN PetscErrorCode MatGetRowSumAbs(Mat, Vec); 823 PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat, Vec, PetscInt[]); 824 PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat, Vec); 825 PETSC_EXTERN PetscErrorCode MatTranspose(Mat, MatReuse, Mat *); 826 PETSC_EXTERN PetscErrorCode MatTransposeSymbolic(Mat, Mat *); 827 PETSC_EXTERN PetscErrorCode MatTransposeSetPrecursor(Mat, Mat); 828 PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat, MatReuse, Mat *); 829 PETSC_EXTERN PetscErrorCode MatPermute(Mat, IS, IS, Mat *); 830 PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat, Vec, Vec); 831 PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat, Vec, InsertMode); 832 833 PETSC_EXTERN PetscErrorCode MatEqual(Mat, Mat, PetscBool *); 834 PETSC_EXTERN PetscErrorCode MatMultEqual(Mat, Mat, PetscInt, PetscBool *); 835 PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat, Mat, PetscInt, PetscBool *); 836 PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat, Mat, PetscInt, PetscBool *); 837 PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *); 838 PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeEqual(Mat, Mat, PetscInt, PetscBool *); 839 PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *); 840 PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *); 841 PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *); 842 PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *); 843 PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *); 844 PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *); 845 PETSC_EXTERN PetscErrorCode MatIsLinear(Mat, PetscInt, PetscBool *); 846 847 PETSC_EXTERN PetscErrorCode MatNorm(Mat, NormType, PetscReal *); 848 PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat, NormType, PetscReal *); 849 PETSC_EXTERN PetscErrorCode MatGetColumnSums(Mat, PetscScalar *); 850 PETSC_EXTERN PetscErrorCode MatGetColumnSumsRealPart(Mat, PetscReal *); 851 PETSC_EXTERN PetscErrorCode MatGetColumnSumsImaginaryPart(Mat, PetscReal *); 852 PETSC_EXTERN PetscErrorCode MatGetColumnMeans(Mat, PetscScalar *); 853 PETSC_EXTERN PetscErrorCode MatGetColumnMeansRealPart(Mat, PetscReal *); 854 PETSC_EXTERN PetscErrorCode MatGetColumnMeansImaginaryPart(Mat, PetscReal *); 855 PETSC_EXTERN PetscErrorCode MatGetColumnReductions(Mat, PetscInt, PetscReal *); 856 PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat); 857 PETSC_EXTERN PetscErrorCode MatSetInf(Mat); 858 PETSC_EXTERN PetscErrorCode MatZeroRows(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec); 859 PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat, IS, PetscScalar, Vec, Vec); 860 PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec); 861 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec); 862 PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec); 863 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat, IS, PetscScalar, Vec, Vec); 864 865 PETSC_EXTERN PetscErrorCode MatGetSize(Mat, PetscInt *, PetscInt *); 866 PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat, PetscInt *, PetscInt *); 867 PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat, PetscInt *, PetscInt *); 868 PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat, const PetscInt **); 869 PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat, PetscInt *, PetscInt *); 870 PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat, const PetscInt **); 871 PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat, IS *, IS *); 872 873 PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]); 874 PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrices()", ) static inline PetscErrorCode MatGetSubMatrices(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[]) 875 { 876 return MatCreateSubMatrices(mat, n, irow, icol, scall, submat); 877 } 878 PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]); 879 PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatricesMPI()", ) static inline PetscErrorCode MatGetSubMatricesMPI(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[]) 880 { 881 return MatCreateSubMatricesMPI(mat, n, irow, icol, scall, submat); 882 } 883 PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt, Mat *[]); 884 PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt, Mat *[]); 885 PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat, IS, IS, MatReuse, Mat *); 886 PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrix()", ) static inline PetscErrorCode MatGetSubMatrix(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat) 887 { 888 return MatCreateSubMatrix(mat, isrow, iscol, cll, newmat); 889 } 890 PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat, IS, IS, Mat *); 891 PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat, IS, IS, Mat *); 892 PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat, Mat *); 893 PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat *); 894 895 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm, Mat, PetscInt, PetscInt, MatReuse, Mat *); 896 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm, Mat, PetscInt, PetscInt, Mat *); 897 PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat, Mat); 898 PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat, MatReuse, Mat *); 899 PETSC_EXTERN PetscErrorCode MatAIJGetLocalMat(Mat, Mat *); 900 PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *); 901 PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatMerge(Mat, MatReuse, IS *, Mat *); 902 PETSC_EXTERN PetscErrorCode MatMPIAIJGetNumberNonzeros(Mat, PetscCount *); 903 PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat, Mat, MatReuse, IS *, IS *, Mat *); 904 PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *, const PetscInt *[]); 905 906 PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat, PetscInt, IS[], PetscInt); 907 PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat, PetscInt, IS[], PetscInt); 908 PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat, PetscBool); 909 910 PETSC_EXTERN PetscErrorCode MatMatMult(Mat, Mat, MatReuse, PetscReal, Mat *); 911 912 PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat, Mat, Mat, MatReuse, PetscReal, Mat *); 913 PETSC_EXTERN PetscErrorCode MatGalerkin(Mat, Mat, Mat, MatReuse, PetscReal, Mat *); 914 915 PETSC_EXTERN PetscErrorCode MatPtAP(Mat, Mat, MatReuse, PetscReal, Mat *); 916 PETSC_EXTERN PetscErrorCode MatRARt(Mat, Mat, MatReuse, PetscReal, Mat *); 917 918 PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat, Mat, MatReuse, PetscReal, Mat *); 919 PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat, Mat, MatReuse, PetscReal, Mat *); 920 921 PETSC_EXTERN PetscErrorCode MatAXPY(Mat, PetscScalar, Mat, MatStructure); 922 PETSC_EXTERN PetscErrorCode MatAYPX(Mat, PetscScalar, Mat, MatStructure); 923 924 PETSC_EXTERN PetscErrorCode MatScale(Mat, PetscScalar); 925 PETSC_EXTERN PetscErrorCode MatShift(Mat, PetscScalar); 926 927 PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping, ISLocalToGlobalMapping); 928 PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *); 929 PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat, PetscLayout *, PetscLayout *); 930 PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat, PetscLayout, PetscLayout); 931 PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec); 932 PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat, IS, PetscScalar, Vec, Vec); 933 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec); 934 PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat, IS, PetscScalar, Vec, Vec); 935 PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]); 936 PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 937 PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 938 939 PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat, PetscInt, PetscInt); 940 PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat, PetscInt *, PetscInt *, PetscInt *, PetscInt *); 941 942 PETSC_EXTERN PetscErrorCode MatInterpolate(Mat, Vec, Vec); 943 PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat, Vec, Vec, Vec); 944 PETSC_EXTERN PetscErrorCode MatRestrict(Mat, Vec, Vec); 945 PETSC_EXTERN PetscErrorCode MatMatInterpolate(Mat, Mat, Mat *); 946 PETSC_EXTERN PetscErrorCode MatMatInterpolateAdd(Mat, Mat, Mat, Mat *); 947 PETSC_EXTERN PetscErrorCode MatMatRestrict(Mat, Mat, Mat *); 948 PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat, Vec *, Vec *); 949 PETSC_DEPRECATED_FUNCTION(3, 6, 0, "MatCreateVecs()", ) static inline PetscErrorCode MatGetVecs(Mat mat, Vec *x, Vec *y) 950 { 951 return MatCreateVecs(mat, x, y); 952 } 953 PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat, PetscInt, MPI_Comm, MatReuse, Mat *); 954 PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat, MPI_Comm, MatReuse, Mat *); 955 PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat, IS *); 956 PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat, IS *); 957 PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm, Mat, PetscInt, MatReuse, Mat *); 958 959 PETSC_EXTERN PetscErrorCode MatCopyHashToXAIJ(Mat A, Mat B); 960 /*@C 961 MatSetValue - Set a single entry into a matrix. 962 963 Not Collective 964 965 Input Parameters: 966 + mat - the matrix 967 . i - the row location of the entry 968 . j - the column location of the entry 969 . va - the value to insert 970 - mode - either `INSERT_VALUES` or `ADD_VALUES` 971 972 Level: beginner 973 974 Notes: 975 This value may be cached, so `MatAssemblyBegin()` and `MatAssemblyEnd()` 976 MUST be called after all calls to `MatSetValue()` have been completed. 977 978 For efficiency one should use `MatSetValues()` and set several values simultaneously. 979 980 .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `InsertMode`, `MatGetValue()`, `MatSetValues()`, 981 `MatSetValueLocal()`, `MatSetValuesLocal()` 982 @*/ 983 static inline PetscErrorCode MatSetValue(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode) 984 { 985 return MatSetValues(mat, 1, &i, 1, &j, &va, mode); 986 } 987 988 /*@C 989 MatGetValue - Gets a single value from a matrix 990 991 Not Collective; can only return a value owned by the given process 992 993 Input Parameters: 994 + mat - the matrix 995 . row - the row location of the entry 996 - col - the column location of the entry 997 998 Output Parameter: 999 . va - the value 1000 1001 Level: advanced 1002 1003 Notes: 1004 The matrix must have been assembled with `MatAssemblyBegin()` and `MatAssemblyEnd()` before this call 1005 1006 For efficiency one should use `MatGetValues()` and get several values simultaneously. 1007 1008 See notes for `MatGetValues()`. 1009 1010 .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `MatSetValue()`, `MatGetValuesLocal()`, `MatGetValues()` 1011 @*/ 1012 static inline PetscErrorCode MatGetValue(Mat mat, PetscInt row, PetscInt col, PetscScalar *va) 1013 { 1014 return MatGetValues(mat, 1, &row, 1, &col, va); 1015 } 1016 1017 /*@C 1018 MatSetValueLocal - Inserts or adds a single value into a matrix, using a local numbering of the nodes. 1019 1020 Not Collective 1021 1022 Input Parameters: 1023 + mat - the matrix 1024 . i - the row location of the entry 1025 . j - the column location of the entry 1026 . va - the value to insert 1027 - mode - either `INSERT_VALUES` or `ADD_VALUES` 1028 1029 Level: intermediate 1030 1031 Notes: 1032 For efficiency one should use `MatSetValuesLocal()` and set several values simultaneously. 1033 1034 See notes for `MatSetValuesLocal()` for additional information on when and how this function can be used. 1035 1036 .seealso: [](ch_matrices), `MatSetValue()`, `MatSetValuesLocal()` 1037 @*/ 1038 static inline PetscErrorCode MatSetValueLocal(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode) 1039 { 1040 return MatSetValuesLocal(mat, 1, &i, 1, &j, &va, mode); 1041 } 1042 1043 /*MC 1044 MatPreallocateBegin - Begins the block of code that will count the number of nonzeros per 1045 row in a matrix providing the data that one can use to correctly preallocate the matrix. 1046 1047 Synopsis: 1048 #include <petscmat.h> 1049 PetscErrorCode MatPreallocateBegin(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz) 1050 1051 Collective 1052 1053 Input Parameters: 1054 + comm - the communicator that will share the eventually allocated matrix 1055 . nrows - the number of LOCAL rows in the matrix 1056 - ncols - the number of LOCAL columns in the matrix 1057 1058 Output Parameters: 1059 + dnz - the array that will be passed to the matrix preallocation routines 1060 - onz - the other array passed to the matrix preallocation routines 1061 1062 Level: deprecated (since v3.19) 1063 1064 Notes: 1065 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1066 the use of this routine 1067 1068 This is a macro that handles its own error checking, it does not return an error code. 1069 1070 Do not malloc or free `dnz` and `onz`, that is handled internally by these routines 1071 1072 Developer Note: 1073 This is a MACRO, not a function, because it has a leading { that is closed by `PetscPreallocateFinalize()`. 1074 1075 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`, 1076 `MatPreallocateSymmetricSetLocalBlock()` 1077 M*/ 1078 #define MatPreallocateBegin(comm, nrows, ncols, dnz, onz) \ 1079 do { \ 1080 PetscInt __nrows = (nrows), __ncols = (ncols), __rstart, __end = 0; \ 1081 PetscInt PETSC_UNUSED __start; \ 1082 PetscCall(PetscCalloc2(__nrows, &(dnz), __nrows, &(onz))); \ 1083 PetscCallMPI(MPI_Scan(&__ncols, &__end, 1, MPIU_INT, MPI_SUM, comm)); \ 1084 __start = __end - __ncols; \ 1085 (void)__start; \ 1086 PetscCallMPI(MPI_Scan(&__nrows, &__rstart, 1, MPIU_INT, MPI_SUM, comm)); \ 1087 __rstart -= __nrows 1088 1089 #define MatPreallocateInitialize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateBegin()", ) MatPreallocateBegin(__VA_ARGS__) 1090 1091 /*MC 1092 MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1093 inserted using a local number of the rows and columns 1094 1095 Synopsis: 1096 #include <petscmat.h> 1097 PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1098 1099 Not Collective 1100 1101 Input Parameters: 1102 + map - the row mapping from local numbering to global numbering 1103 . nrows - the number of rows indicated 1104 . rows - the indices of the rows 1105 . cmap - the column mapping from local to global numbering 1106 . ncols - the number of columns in the matrix 1107 . cols - the columns indicated 1108 . dnz - the array that will be passed to the matrix preallocation routines 1109 - onz - the other array passed to the matrix preallocation routines 1110 1111 Level: deprecated (since v3.19) 1112 1113 Notes: 1114 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1115 the use of this routine 1116 1117 Do not malloc or free `dnz` and `onz`, that is handled internally by these routines 1118 1119 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()` 1120 `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocalRemoveDups()` 1121 M*/ 1122 #define MatPreallocateSetLocal(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \ 1123 PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApply(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApply(cmap, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));) 1124 1125 /*MC 1126 MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1127 inserted using a local number of the rows and columns. This version removes any duplicate columns in cols 1128 1129 Synopsis: 1130 #include <petscmat.h> 1131 PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1132 1133 Not Collective 1134 1135 Input Parameters: 1136 + map - the row mapping from local numbering to global numbering 1137 . nrows - the number of rows indicated 1138 . rows - the indices of the rows (these values are mapped to the global values) 1139 . cmap - the column mapping from local to global numbering 1140 . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found) 1141 . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed) 1142 . dnz - the array that will be passed to the matrix preallocation routines 1143 - onz - the other array passed to the matrix preallocation routines 1144 1145 Level: deprecated (since v3.19) 1146 1147 Notes: 1148 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1149 the use of this routine 1150 1151 Do not malloc or free `dnz` and `onz`, that is handled internally by these routines 1152 1153 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()` 1154 `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()` 1155 M*/ 1156 #define MatPreallocateSetLocalRemoveDups(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \ 1157 PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApply(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApply(cmap, ncols, cols, cols)); PetscCall(PetscSortRemoveDupsInt(&ncols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));) 1158 1159 /*MC 1160 MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1161 inserted using a local number of the rows and columns 1162 1163 Synopsis: 1164 #include <petscmat.h> 1165 PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1166 1167 Not Collective 1168 1169 Input Parameters: 1170 + map - the row mapping from local numbering to global numbering 1171 . nrows - the number of rows indicated 1172 . rows - the indices of the rows 1173 . cmap - the column mapping from local to global numbering 1174 . ncols - the number of columns in the matrix 1175 . cols - the columns indicated 1176 . dnz - the array that will be passed to the matrix preallocation routines 1177 - onz - the other array passed to the matrix preallocation routines 1178 1179 Level: deprecated (since v3.19) 1180 1181 Notes: 1182 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1183 the use of this routine 1184 1185 Do not malloc or free `dnz` and `onz`, that is handled internally by these routines 1186 1187 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()` 1188 `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()` 1189 M*/ 1190 #define MatPreallocateSetLocalBlock(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \ 1191 PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApplyBlock(rmap, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApplyBlock(cmap, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSet((rows)[__l], ncols, cols, dnz, onz));) 1192 1193 /*MC 1194 MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1195 inserted using a local number of the rows and columns 1196 1197 Synopsis: 1198 #include <petscmat.h> 1199 PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1200 1201 Not Collective 1202 1203 Input Parameters: 1204 + map - the mapping between local numbering and global numbering 1205 . nrows - the number of rows indicated 1206 . rows - the indices of the rows 1207 . ncols - the number of columns in the matrix 1208 . cols - the columns indicated 1209 . dnz - the array that will be passed to the matrix preallocation routines 1210 - onz - the other array passed to the matrix preallocation routines 1211 1212 Level: deprecated (since v3.19) 1213 1214 Notes: 1215 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1216 the use of this routine 1217 1218 Do not malloc or free `dnz` and `onz` that is handled internally by these routines 1219 1220 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()` 1221 `MatPreallocateBegin()`, `MatPreallocateSetLocal()` 1222 M*/ 1223 #define MatPreallocateSymmetricSetLocalBlock(map, nrows, rows, ncols, cols, dnz, onz) \ 1224 PetscMacroReturnStandard(PetscCall(ISLocalToGlobalMappingApplyBlock(map, nrows, rows, rows)); PetscCall(ISLocalToGlobalMappingApplyBlock(map, ncols, cols, cols)); for (PetscInt __l = 0; __l < nrows; __l++) PetscCall(MatPreallocateSymmetricSetBlock((rows)[__l], ncols, cols, dnz, onz));) 1225 1226 /*MC 1227 MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1228 inserted using a local number of the rows and columns 1229 1230 Synopsis: 1231 #include <petscmat.h> 1232 PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1233 1234 Not Collective 1235 1236 Input Parameters: 1237 + row - the row 1238 . ncols - the number of columns in the matrix 1239 - cols - the columns indicated 1240 1241 Output Parameters: 1242 + dnz - the array that will be passed to the matrix preallocation routines 1243 - onz - the other array passed to the matrix preallocation routines 1244 1245 Level: deprecated (since v3.19) 1246 1247 Notes: 1248 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1249 the use of this routine 1250 1251 Do not malloc or free `dnz` and `onz` that is handled internally by these routines 1252 1253 This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin(). 1254 1255 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()` 1256 `MatPreallocateBegin()`, `MatPreallocateSetLocal()` 1257 M*/ 1258 #define MatPreallocateSet(row, nc, cols, dnz, onz) \ 1259 PetscMacroReturnStandard(PetscCheck(row >= __rstart, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Trying to set preallocation for row %" PetscInt_FMT " less than first local row %" PetscInt_FMT, row, __rstart); PetscCheck(row < __rstart + __nrows, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Trying to set preallocation for row %" PetscInt_FMT " greater than last local row %" PetscInt_FMT, row, __rstart + __nrows - 1); for (PetscInt __i = 0; __i < nc; ++__i) { \ 1260 if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \ 1261 else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \ 1262 }) 1263 1264 /*MC 1265 MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be 1266 inserted using a local number of the rows and columns 1267 1268 Synopsis: 1269 #include <petscmat.h> 1270 PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz) 1271 1272 Not Collective 1273 1274 Input Parameters: 1275 + nrows - the number of rows indicated 1276 . rows - the indices of the rows 1277 . ncols - the number of columns in the matrix 1278 . cols - the columns indicated 1279 . dnz - the array that will be passed to the matrix preallocation routines 1280 - onz - the other array passed to the matrix preallocation routines 1281 1282 Level: deprecated (since v3.19) 1283 1284 Notes: 1285 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1286 the use of this routine 1287 1288 Do not malloc or free `dnz` and `onz` that is handled internally by these routines 1289 1290 This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin(). 1291 1292 .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateBegin()`, 1293 `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()` 1294 M*/ 1295 #define MatPreallocateSymmetricSetBlock(row, nc, cols, dnz, onz) \ 1296 PetscMacroReturnStandard(for (PetscInt __i = 0; __i < nc; __i++) { \ 1297 if (cols[__i] >= __end) onz[row - __rstart]++; \ 1298 else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \ 1299 }) 1300 1301 /*MC 1302 MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists 1303 1304 Synopsis: 1305 #include <petscmat.h> 1306 PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz) 1307 1308 Not Collective 1309 1310 Input Parameters: 1311 + A - matrix 1312 . row - row where values exist (must be local to this process) 1313 . ncols - number of columns 1314 . cols - columns with nonzeros 1315 . dnz - the array that will be passed to the matrix preallocation routines 1316 - onz - the other array passed to the matrix preallocation routines 1317 1318 Level: deprecated (since v3.19) 1319 1320 Notes: 1321 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1322 the use of this routine 1323 1324 Do not malloc or free `dnz` and `onz` that is handled internally by these routines 1325 1326 Developer Note: 1327 This is a MACRO, not a function, because it uses a bunch of variables private to the MatPreallocation.... routines. 1328 1329 .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`, 1330 `MatPreallocateSymmetricSetLocalBlock()` 1331 M*/ 1332 #define MatPreallocateLocation(A, row, ncols, cols, dnz, onz) (A ? MatSetValues(A, 1, &row, ncols, cols, NULL, INSERT_VALUES) : MatPreallocateSet(row, ncols, cols, dnz, onz)) 1333 1334 /*MC 1335 MatPreallocateEnd - Ends the block of code that will count the number of nonzeros per 1336 row in a matrix providing the data that one can use to correctly preallocate the matrix. 1337 1338 Synopsis: 1339 #include <petscmat.h> 1340 PetscErrorCode MatPreallocateEnd(PetscInt *dnz, PetscInt *onz) 1341 1342 Collective 1343 1344 Input Parameters: 1345 + dnz - the array that was be passed to the matrix preallocation routines 1346 - onz - the other array passed to the matrix preallocation routines 1347 1348 Level: deprecated (since v3.19) 1349 1350 Notes: 1351 This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than 1352 the use of this routine 1353 1354 Do not malloc or free `dnz` and `onz`, that is handled internally by these routines 1355 1356 Developer Note: 1357 This is a MACRO, not a function, because it closes the { started in MatPreallocateBegin(). 1358 1359 .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`, 1360 `MatPreallocateSymmetricSetLocalBlock()` 1361 M*/ 1362 #define MatPreallocateEnd(dnz, onz) \ 1363 PetscCall(PetscFree2(dnz, onz)); \ 1364 } \ 1365 while (0) 1366 1367 #define MatPreallocateFinalize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateEnd()", ) MatPreallocateEnd(__VA_ARGS__) 1368 1369 /* Routines unique to particular data structures */ 1370 PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat, void *); 1371 1372 PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat, IS *, IS *); 1373 PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat, PetscInt *, PetscInt *[], PetscInt *); 1374 1375 PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat, PetscInt[]); 1376 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat, PetscInt[]); 1377 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *); 1378 PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *); 1379 PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *); 1380 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *, PetscCount, PetscBool); 1381 1382 #define MAT_SKIP_ALLOCATION -4 1383 1384 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]); 1385 PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]); 1386 PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat, PetscInt, const PetscInt[]); 1387 PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat, PetscInt); 1388 1389 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 1390 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 1391 PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 1392 PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]); 1393 PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]); 1394 PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]); 1395 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]); 1396 PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat, PetscInt[], PetscInt[], PetscInt[]); 1397 PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat, Mat *); 1398 PETSC_EXTERN PetscErrorCode MatMPIAdjToSeqRankZero(Mat, Mat *); 1399 PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat, PetscScalar[]); 1400 PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat, PetscScalar[]); 1401 PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat, Mat *, Mat *, const PetscInt *[]); 1402 PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat, Mat *, Mat *, const PetscInt *[]); 1403 PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat, Mat *); 1404 1405 PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat, PetscInt *); 1406 PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat, PetscInt); 1407 PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatDenseSetLDA()", ) static inline PetscErrorCode MatSeqDenseSetLDA(Mat A, PetscInt lda) 1408 { 1409 return MatDenseSetLDA(A, lda); 1410 } 1411 PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat, Mat *); 1412 1413 PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]); 1414 1415 PETSC_EXTERN PetscErrorCode MatStoreValues(Mat); 1416 PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat); 1417 1418 PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat, IS *); 1419 PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat, IS *); 1420 /* 1421 These routines are not usually accessed directly, rather solving is 1422 done through the KSP and PC interfaces. 1423 */ 1424 1425 /*J 1426 MatOrderingType - String with the name of a PETSc matrix ordering. These orderings are most commonly used 1427 to reduce fill in sparse factorizations. 1428 1429 Level: beginner 1430 1431 Notes: 1432 If `MATORDERINGEXTERNAL` is used then PETSc does not compute an ordering and instead the external factorization solver package called utilizes one 1433 of its own. 1434 1435 There is no `MatOrdering` object, the ordering is obtained directly from the matrix with `MatGetOrdering()` 1436 1437 Developer Note: 1438 This API should be converted to an API similar to those for `MatColoring` and `MatPartitioning` 1439 1440 .seealso: [](ch_matrices), [](sec_graph), `MatGetFactor()`, `MatGetOrdering()`, `MatColoringType`, `MatPartitioningType`, `MatCoarsenType`, `MatCoarsenType`, 1441 `PCFactorSetOrderingType()` 1442 J*/ 1443 typedef const char *MatOrderingType; 1444 #define MATORDERINGNATURAL "natural" 1445 #define MATORDERINGND "nd" 1446 #define MATORDERING1WD "1wd" 1447 #define MATORDERINGRCM "rcm" 1448 #define MATORDERINGQMD "qmd" 1449 #define MATORDERINGROWLENGTH "rowlength" 1450 #define MATORDERINGWBM "wbm" 1451 #define MATORDERINGSPECTRAL "spectral" 1452 #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */ 1453 #define MATORDERINGMETISND "metisnd" /* only works if METIS is installed with PETSc */ 1454 #define MATORDERINGNATURAL_OR_ND "natural_or_nd" /* special coase used for Cholesky and ICC, allows ND when AIJ matrix is used but Natural when SBAIJ is used */ 1455 #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */ 1456 1457 PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat, MatOrderingType, IS *, IS *); 1458 PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList *); 1459 PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[], PetscErrorCode (*)(Mat, MatOrderingType, IS *, IS *)); 1460 PETSC_EXTERN PetscFunctionList MatOrderingList; 1461 1462 #include "petscmatcoarsen.h" 1463 1464 PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat, PetscReal, IS, IS); 1465 PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat, PetscReal, PetscBool, Mat *); 1466 1467 PETSC_EXTERN PetscErrorCode MatFactorGetPreferredOrdering(Mat, MatFactorType, MatOrderingType *); 1468 1469 /*S 1470 MatFactorShiftType - Type of numeric shift used for factorizations 1471 1472 Values: 1473 + `MAT_SHIFT_NONE` - do not shift the matrix diagonal entries 1474 . `MAT_SHIFT_NONZERO` - shift the entries to be non-zero 1475 . `MAT_SHIFT_POSITIVE_DEFINITE` - shift the entries to force the factorization to be positive definite 1476 - `MAT_SHIFT_INBLOCKS` - only shift the factors inside the small dense diagonal blocks of the matrix, for example with `MATBAIJ` 1477 1478 Level: intermediate 1479 1480 .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `PCFactorSetShiftType()` 1481 S*/ 1482 typedef enum { 1483 MAT_SHIFT_NONE, 1484 MAT_SHIFT_NONZERO, 1485 MAT_SHIFT_POSITIVE_DEFINITE, 1486 MAT_SHIFT_INBLOCKS 1487 } MatFactorShiftType; 1488 PETSC_EXTERN const char *const MatFactorShiftTypes[]; 1489 PETSC_EXTERN const char *const MatFactorShiftTypesDetail[]; 1490 1491 /*S 1492 MatFactorError - indicates what type of error was generated in a matrix factorization 1493 1494 Values: 1495 + `MAT_FACTOR_NOERROR` - there was no error during the factorization 1496 . `MAT_FACTOR_STRUCT_ZEROPIVOT` - there was a missing entry in a diagonal location of the matrix 1497 . `MAT_FACTOR_NUMERIC_ZEROPIVOT` - there was a (near) zero pivot during the factorization 1498 . `MAT_FACTOR_OUTMEMORY` - the factorization has run out of memory 1499 - `MAT_FACTOR_OTHER` - some other error has occurred. 1500 1501 Level: intermediate 1502 1503 Note: 1504 When a factorization is done in a preconditioner `PC` the error may be propagated up to a `PCFailedReason` or a `KSPConvergedReason` 1505 1506 .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `MatFactorGetError()`, `MatFactorGetErrorZeroPivot()`, `MatFactorClearError()`, 1507 `PCFailedReason`, `PCGetFailedReason()`, `KSPConvergedReason` 1508 S*/ 1509 typedef enum { 1510 MAT_FACTOR_NOERROR, 1511 MAT_FACTOR_STRUCT_ZEROPIVOT, 1512 MAT_FACTOR_NUMERIC_ZEROPIVOT, 1513 MAT_FACTOR_OUTMEMORY, 1514 MAT_FACTOR_OTHER 1515 } MatFactorError; 1516 1517 PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat, MatFactorError *); 1518 PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat); 1519 PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat, PetscReal *, PetscInt *); 1520 1521 /*S 1522 MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization 1523 1524 Level: developer 1525 1526 Note: 1527 You can use `MatFactorInfoInitialize()` to set default values. 1528 1529 Fortran Note: 1530 `MatFactorInfo` is a derived type, use e.g. `matfactorinfo%dt` to access its components. 1531 1532 .seealso: [](ch_matrices), `Mat`, `MatInfo`, `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatILUFactorSymbolic()`, `MatCholeskyFactorSymbolic()`, 1533 `MatICCFactorSymbolic()`, `MatICCFactor()`, `MatFactorInfoInitialize()` 1534 S*/ 1535 typedef struct { 1536 PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */ 1537 PetscReal usedt; 1538 PetscReal dt; /* drop tolerance */ 1539 PetscReal dtcol; /* tolerance for pivoting */ 1540 PetscReal dtcount; /* maximum nonzeros to be allowed per row */ 1541 PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */ 1542 PetscReal levels; /* ICC/ILU(levels) */ 1543 PetscReal pivotinblocks; /* BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0 factorization may be faster if do not pivot */ 1544 PetscReal zeropivot; /* pivot is called zero if less than this */ 1545 PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */ 1546 PetscReal shiftamount; /* how large the shift is */ 1547 PetscBool factoronhost; /* do factorization on host instead of device (for device matrix types) */ 1548 PetscBool solveonhost; /* do mat solve on host with the factor (for device matrix types) */ 1549 } MatFactorInfo; 1550 1551 PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo *); 1552 PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat, IS, const MatFactorInfo *); 1553 PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *); 1554 PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat, Mat, const MatFactorInfo *); 1555 PETSC_EXTERN PetscErrorCode MatLUFactor(Mat, IS, IS, const MatFactorInfo *); 1556 PETSC_EXTERN PetscErrorCode MatILUFactor(Mat, IS, IS, const MatFactorInfo *); 1557 PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *); 1558 PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *); 1559 PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *); 1560 PETSC_EXTERN PetscErrorCode MatICCFactor(Mat, IS, const MatFactorInfo *); 1561 PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat, Mat, const MatFactorInfo *); 1562 PETSC_EXTERN PetscErrorCode MatQRFactor(Mat, IS, const MatFactorInfo *); 1563 PETSC_EXTERN PetscErrorCode MatQRFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *); 1564 PETSC_EXTERN PetscErrorCode MatQRFactorNumeric(Mat, Mat, const MatFactorInfo *); 1565 PETSC_EXTERN PetscErrorCode MatGetInertia(Mat, PetscInt *, PetscInt *, PetscInt *); 1566 PETSC_EXTERN PetscErrorCode MatSolve(Mat, Vec, Vec); 1567 PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat, Vec, Vec); 1568 PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat, Vec, Vec); 1569 PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat, Vec, Vec, Vec); 1570 PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat, Vec, Vec); 1571 PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat, Vec, Vec, Vec); 1572 PETSC_EXTERN PetscErrorCode MatSolves(Mat, Vecs, Vecs); 1573 PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat); 1574 1575 typedef enum { 1576 MAT_FACTOR_SCHUR_UNFACTORED, 1577 MAT_FACTOR_SCHUR_FACTORED, 1578 MAT_FACTOR_SCHUR_INVERTED 1579 } MatFactorSchurStatus; 1580 PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat, IS); 1581 PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat, Mat *, MatFactorSchurStatus *); 1582 PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat, Mat *, MatFactorSchurStatus); 1583 PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat); 1584 PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat, Mat *, MatFactorSchurStatus *); 1585 PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat, Vec, Vec); 1586 PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat, Vec, Vec); 1587 PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat); 1588 1589 PETSC_EXTERN PetscErrorCode MatSeqDenseInvert(Mat); 1590 /*E 1591 MatSORType - What type of (S)SOR to perform 1592 1593 Values: 1594 + `SOR_FORWARD_SWEEP` - do a sweep from the first row of the matrix to the last 1595 . `SOR_BACKWARD_SWEEP` - do a sweep from the last row to the first 1596 . `SOR_SYMMETRIC_SWEEP` - do a sweep from the first row to the last and then back to the first 1597 . `SOR_LOCAL_FORWARD_SWEEP` - each MPI process does its own forward sweep with no communication 1598 . `SOR_LOCAL_BACKWARD_SWEEP` - each MPI process does its own backward sweep with no communication 1599 . `SOR_LOCAL_SYMMETRIC_SWEEP` - each MPI process does its own symmetric sweep with no communication 1600 . `SOR_ZERO_INITIAL_GUESS` - indicates the initial solution is zero so the sweep can avoid unneeded computation 1601 . `SOR_EISENSTAT` - apply the Eisentat application of SOR, see `PCEISENSTAT` 1602 . `SOR_APPLY_UPPER` - multiply by the upper triangular portion of the matrix 1603 - `SOR_APPLY_LOWER` - multiply by the lower triangular portion of the matrix 1604 1605 Level: beginner 1606 1607 Note: 1608 These may be bitwise ORd together 1609 1610 Developer Note: 1611 Since `MatSORType` may be bitwise ORd together, so do not change the numerical values below 1612 1613 .seealso: [](ch_matrices), `MatSOR()` 1614 E*/ 1615 typedef enum { 1616 SOR_FORWARD_SWEEP = 1, 1617 SOR_BACKWARD_SWEEP = 2, 1618 SOR_SYMMETRIC_SWEEP = 3, 1619 SOR_LOCAL_FORWARD_SWEEP = 4, 1620 SOR_LOCAL_BACKWARD_SWEEP = 8, 1621 SOR_LOCAL_SYMMETRIC_SWEEP = 12, 1622 SOR_ZERO_INITIAL_GUESS = 16, 1623 SOR_EISENSTAT = 32, 1624 SOR_APPLY_UPPER = 64, 1625 SOR_APPLY_LOWER = 128 1626 } MatSORType; 1627 PETSC_EXTERN PetscErrorCode MatSOR(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec); 1628 1629 /*S 1630 MatColoring - Object for managing the coloring of matrices. 1631 1632 Level: beginner 1633 1634 Notes: 1635 Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the 1636 matrix comes from via `DMCreateColoring()`. In general using the mesh produces a more optimal coloring (fewer colors). 1637 1638 Once a coloring is available `MatFDColoringCreate()` creates an object that can be used to efficiently compute Jacobians using that coloring. This 1639 same object can also be used to efficiently convert data created by Automatic Differentiation tools to PETSc sparse matrices. 1640 1641 .seealso: [](ch_matrices), [](sec_graph), `MatFDColoringCreate()`, `MatColoringWeightType`, `ISColoring`, `MatFDColoring`, `DMCreateColoring()`, `MatColoringCreate()`, 1642 `MatPartitioning`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`, `MatColoringSetWeightType()`, 1643 `MatColoringSetWeights()`, `MatCoarsenType`, `MatCoarsen` 1644 S*/ 1645 typedef struct _p_MatColoring *MatColoring; 1646 1647 /*J 1648 MatColoringType - String with the name of a PETSc matrix coloring 1649 1650 Level: beginner 1651 1652 .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatFDColoringCreate()`, `MatColoringSetType()`, `MatColoring` 1653 J*/ 1654 typedef const char *MatColoringType; 1655 #define MATCOLORINGJP "jp" 1656 #define MATCOLORINGPOWER "power" 1657 #define MATCOLORINGNATURAL "natural" 1658 #define MATCOLORINGSL "sl" 1659 #define MATCOLORINGLF "lf" 1660 #define MATCOLORINGID "id" 1661 #define MATCOLORINGGREEDY "greedy" 1662 1663 /*E 1664 MatColoringWeightType - Type of weight scheme used for the coloring algorithm 1665 1666 Values: 1667 + `MAT_COLORING_RANDOM` - Random weights 1668 . `MAT_COLORING_LEXICAL` - Lexical weighting based upon global numbering. 1669 - `MAT_COLORING_LF` - Last-first weighting. 1670 1671 Level: intermediate 1672 1673 .seealso: [](ch_matrices), `MatColoring`, `MatColoringCreate()`, `MatColoringSetWeightType()`, `MatColoringSetWeights()` 1674 E*/ 1675 typedef enum { 1676 MAT_COLORING_WEIGHT_RANDOM, 1677 MAT_COLORING_WEIGHT_LEXICAL, 1678 MAT_COLORING_WEIGHT_LF, 1679 MAT_COLORING_WEIGHT_SL 1680 } MatColoringWeightType; 1681 1682 PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat, MatColoring *); 1683 PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat, PetscInt, PetscInt *); 1684 PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring *); 1685 PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring, PetscViewer); 1686 PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring, MatColoringType); 1687 PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring); 1688 PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring, PetscInt); 1689 PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring, PetscInt *); 1690 PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring, PetscInt); 1691 PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring, PetscInt *); 1692 PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring, ISColoring *); 1693 PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[], PetscErrorCode (*)(MatColoring)); 1694 PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat, PetscInt, PetscInt, ISColoringValue[], ISColoring *); 1695 PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring, MatColoringWeightType); 1696 PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring, PetscReal *, PetscInt *); 1697 PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring, PetscReal **, PetscInt **lperm); 1698 PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring, ISColoring); 1699 PETSC_DEPRECATED_FUNCTION(3, 10, 0, "MatColoringTest()", ) static inline PetscErrorCode MatColoringTestValid(MatColoring matcoloring, ISColoring iscoloring) 1700 { 1701 return MatColoringTest(matcoloring, iscoloring); 1702 } 1703 PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat, ISColoring); 1704 1705 /*S 1706 MatFDColoring - Object for computing a sparse Jacobian via finite differences with coloring 1707 1708 Level: beginner 1709 1710 Options Database Key: 1711 . -snes_fd_coloring - cause the Jacobian needed by `SNES` to be computed via a use of this object 1712 1713 Note: 1714 This object is created utilizing a coloring provided by the `MatColoring` object or `DMCreateColoring()` 1715 1716 .seealso: [](ch_matrices), `Mat`, `MatFDColoringCreate()`, `MatFDColoringSetFunction()`, `MatColoring`, `DMCreateColoring()` 1717 S*/ 1718 typedef struct _p_MatFDColoring *MatFDColoring; 1719 1720 /*S 1721 MatFDColoringFn - Function provided to `MatFDColoringSetFunction()` that computes the function being differenced 1722 1723 Level: advanced 1724 1725 Calling Sequence: 1726 + snes - either a `SNES` object if used within `SNES` otherwise an unused parameter 1727 . in - the location where the Jacobian is to be computed 1728 . out - the location to put the computed function value 1729 - fctx - the function context passed into `MatFDColoringSetFunction()` 1730 1731 .seealso: [](ch_matrices), `Mat`, `MatCreateMFFD()`, `MatMFFDSetFunction()`, `MatMFFDiFn`, `MatMFFDiBaseFn` 1732 S*/ 1733 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatFDColoringFn(void *snes, Vec x, Vec y, void *fctx); 1734 1735 PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat, ISColoring, MatFDColoring *); 1736 PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring *); 1737 PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring, PetscViewer); 1738 PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring, MatFDColoringFn *, void *); 1739 PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring, MatFDColoringFn **, void **); 1740 PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring, PetscReal, PetscReal); 1741 PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring); 1742 PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat, MatFDColoring, Vec, void *); 1743 PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring, Vec); 1744 PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring, PetscInt *, const PetscInt *[]); 1745 PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat, ISColoring, MatFDColoring); 1746 PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring, PetscInt, PetscInt); 1747 PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat, MatFDColoring, const PetscScalar *); 1748 1749 /*S 1750 MatTransposeColoring - Object for computing a sparse matrix product $C = A*B^T$ via coloring 1751 1752 Level: developer 1753 1754 .seealso: [](ch_matrices), `Mat`, `MatProductType`, `MatTransposeColoringCreate()` 1755 S*/ 1756 typedef struct _p_MatTransposeColoring *MatTransposeColoring; 1757 1758 PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat, ISColoring, MatTransposeColoring *); 1759 PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring, Mat, Mat); 1760 PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring, Mat, Mat); 1761 PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring *); 1762 1763 /*S 1764 MatPartitioning - Object for managing the partitioning of a matrix or graph 1765 1766 Level: beginner 1767 1768 Note: 1769 There is also a `PetscPartitioner` object that provides the same functionality. It can utilize the `MatPartitioning` operations 1770 via `PetscPartitionerSetType`(p,`PETSCPARTITIONERMATPARTITIONING`) 1771 1772 Developer Note: 1773 It is an extra maintenance and documentation cost to have two objects with the same functionality. `PetscPartitioner` should be removed 1774 1775 .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioningType`, `MatColoring`, `MatGetOrdering()`, `MatOrderingType`, 1776 `MatCoarsenType`, `MatCoarsenType` 1777 S*/ 1778 typedef struct _p_MatPartitioning *MatPartitioning; 1779 1780 /*J 1781 MatPartitioningType - String with the name of a PETSc matrix partitioning 1782 1783 Level: beginner 1784 dm 1785 .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioning`, `MatPartitioningSetType()`, `MatColoringType`, `MatOrderingType`, 1786 `MatCoarsenType`, `MatCoarsenType` 1787 J*/ 1788 typedef const char *MatPartitioningType; 1789 #define MATPARTITIONINGCURRENT "current" 1790 #define MATPARTITIONINGAVERAGE "average" 1791 #define MATPARTITIONINGSQUARE "square" 1792 #define MATPARTITIONINGPARMETIS "parmetis" 1793 #define MATPARTITIONINGCHACO "chaco" 1794 #define MATPARTITIONINGPARTY "party" 1795 #define MATPARTITIONINGPTSCOTCH "ptscotch" 1796 #define MATPARTITIONINGHIERARCH "hierarch" 1797 1798 PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm, MatPartitioning *); 1799 PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning, MatPartitioningType); 1800 PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning, PetscInt); 1801 PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning, Mat); 1802 PETSC_EXTERN PetscErrorCode MatPartitioningSetNumberVertexWeights(MatPartitioning, PetscInt); 1803 PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning, const PetscInt[]); 1804 PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning, const PetscReal[]); 1805 PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning, PetscBool); 1806 PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning, PetscBool *); 1807 PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning, IS *); 1808 PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning, IS *); 1809 PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning, IS); 1810 PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning, IS *); 1811 PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning *); 1812 PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[], PetscErrorCode (*)(MatPartitioning)); 1813 PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning, PetscViewer); 1814 PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning, PetscObject, const char[]); 1815 PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning); 1816 PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning, MatPartitioningType *); 1817 1818 PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning); 1819 PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning); 1820 PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *); 1821 1822 typedef enum { 1823 MP_CHACO_MULTILEVEL = 1, 1824 MP_CHACO_SPECTRAL = 2, 1825 MP_CHACO_LINEAR = 4, 1826 MP_CHACO_RANDOM = 5, 1827 MP_CHACO_SCATTERED = 6 1828 } MPChacoGlobalType; 1829 PETSC_EXTERN const char *const MPChacoGlobalTypes[]; 1830 typedef enum { 1831 MP_CHACO_KERNIGHAN = 1, 1832 MP_CHACO_NONE = 2 1833 } MPChacoLocalType; 1834 PETSC_EXTERN const char *const MPChacoLocalTypes[]; 1835 typedef enum { 1836 MP_CHACO_LANCZOS = 0, 1837 MP_CHACO_RQI = 1 1838 } MPChacoEigenType; 1839 PETSC_EXTERN const char *const MPChacoEigenTypes[]; 1840 1841 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType); 1842 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning, MPChacoGlobalType *); 1843 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType); 1844 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning, MPChacoLocalType *); 1845 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning, PetscReal); 1846 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning, MPChacoEigenType); 1847 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning, MPChacoEigenType *); 1848 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal); 1849 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning, PetscReal *); 1850 PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt); 1851 PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning, PetscInt *); 1852 1853 #define MP_PARTY_OPT "opt" 1854 #define MP_PARTY_LIN "lin" 1855 #define MP_PARTY_SCA "sca" 1856 #define MP_PARTY_RAN "ran" 1857 #define MP_PARTY_GBF "gbf" 1858 #define MP_PARTY_GCF "gcf" 1859 #define MP_PARTY_BUB "bub" 1860 #define MP_PARTY_DEF "def" 1861 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char *); 1862 #define MP_PARTY_HELPFUL_SETS "hs" 1863 #define MP_PARTY_KERNIGHAN_LIN "kl" 1864 #define MP_PARTY_NONE "no" 1865 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char *); 1866 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning, PetscReal); 1867 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning, PetscBool); 1868 PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning, PetscBool); 1869 1870 typedef enum { 1871 MP_PTSCOTCH_DEFAULT, 1872 MP_PTSCOTCH_QUALITY, 1873 MP_PTSCOTCH_SPEED, 1874 MP_PTSCOTCH_BALANCE, 1875 MP_PTSCOTCH_SAFETY, 1876 MP_PTSCOTCH_SCALABILITY 1877 } MPPTScotchStrategyType; 1878 PETSC_EXTERN const char *const MPPTScotchStrategyTypes[]; 1879 1880 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning, PetscReal); 1881 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning, PetscReal *); 1882 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning, MPPTScotchStrategyType); 1883 PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning, MPPTScotchStrategyType *); 1884 1885 /* 1886 * hierarchical partitioning 1887 */ 1888 PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning, IS *); 1889 PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning, IS *); 1890 PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning, PetscInt); 1891 PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt); 1892 1893 PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat, PetscInt, Mat *); 1894 1895 /* 1896 If any of the enum values are changed, also update dMatOps dict at src/binding/petsc4py/src/petsc4py/PETSc/libpetsc4py.pyx 1897 */ 1898 typedef enum { 1899 MATOP_SET_VALUES = 0, 1900 MATOP_GET_ROW = 1, 1901 MATOP_RESTORE_ROW = 2, 1902 MATOP_MULT = 3, 1903 MATOP_MULT_ADD = 4, 1904 MATOP_MULT_TRANSPOSE = 5, 1905 MATOP_MULT_TRANSPOSE_ADD = 6, 1906 MATOP_SOLVE = 7, 1907 MATOP_SOLVE_ADD = 8, 1908 MATOP_SOLVE_TRANSPOSE = 9, 1909 MATOP_SOLVE_TRANSPOSE_ADD = 10, 1910 MATOP_LUFACTOR = 11, 1911 MATOP_CHOLESKYFACTOR = 12, 1912 MATOP_SOR = 13, 1913 MATOP_TRANSPOSE = 14, 1914 MATOP_GETINFO = 15, 1915 MATOP_EQUAL = 16, 1916 MATOP_GET_DIAGONAL = 17, 1917 MATOP_DIAGONAL_SCALE = 18, 1918 MATOP_NORM = 19, 1919 MATOP_ASSEMBLY_BEGIN = 20, 1920 MATOP_ASSEMBLY_END = 21, 1921 MATOP_SET_OPTION = 22, 1922 MATOP_ZERO_ENTRIES = 23, 1923 MATOP_ZERO_ROWS = 24, 1924 MATOP_LUFACTOR_SYMBOLIC = 25, 1925 MATOP_LUFACTOR_NUMERIC = 26, 1926 MATOP_CHOLESKY_FACTOR_SYMBOLIC = 27, 1927 MATOP_CHOLESKY_FACTOR_NUMERIC = 28, 1928 MATOP_SETUP = 29, 1929 MATOP_ILUFACTOR_SYMBOLIC = 30, 1930 MATOP_ICCFACTOR_SYMBOLIC = 31, 1931 MATOP_GET_DIAGONAL_BLOCK = 32, 1932 MATOP_SET_INF = 33, 1933 MATOP_DUPLICATE = 34, 1934 MATOP_FORWARD_SOLVE = 35, 1935 MATOP_BACKWARD_SOLVE = 36, 1936 MATOP_ILUFACTOR = 37, 1937 MATOP_ICCFACTOR = 38, 1938 MATOP_AXPY = 39, 1939 MATOP_CREATE_SUBMATRICES = 40, 1940 MATOP_INCREASE_OVERLAP = 41, 1941 MATOP_GET_VALUES = 42, 1942 MATOP_COPY = 43, 1943 MATOP_GET_ROW_MAX = 44, 1944 MATOP_SCALE = 45, 1945 MATOP_SHIFT = 46, 1946 MATOP_DIAGONAL_SET = 47, 1947 MATOP_ZERO_ROWS_COLUMNS = 48, 1948 MATOP_SET_RANDOM = 49, 1949 MATOP_GET_ROW_IJ = 50, 1950 MATOP_RESTORE_ROW_IJ = 51, 1951 MATOP_GET_COLUMN_IJ = 52, 1952 MATOP_RESTORE_COLUMN_IJ = 53, 1953 MATOP_FDCOLORING_CREATE = 54, 1954 MATOP_COLORING_PATCH = 55, 1955 MATOP_SET_UNFACTORED = 56, 1956 MATOP_PERMUTE = 57, 1957 MATOP_SET_VALUES_BLOCKED = 58, 1958 MATOP_CREATE_SUBMATRIX = 59, 1959 MATOP_DESTROY = 60, 1960 MATOP_VIEW = 61, 1961 MATOP_CONVERT_FROM = 62, 1962 MATOP_MATMAT_MULT_SYMBOLIC = 63, 1963 MATOP_MATMAT_MULT_NUMERIC = 64, 1964 MATOP_SET_LOCAL_TO_GLOBAL_MAP = 65, 1965 MATOP_SET_VALUES_LOCAL = 66, 1966 MATOP_ZERO_ROWS_LOCAL = 67, 1967 MATOP_GET_ROW_MAX_ABS = 68, 1968 MATOP_GET_ROW_MIN_ABS = 69, 1969 MATOP_CONVERT = 70, 1970 MATOP_HAS_OPERATION = 71, 1971 MATOP_FD_COLORING_APPLY = 72, 1972 MATOP_SET_FROM_OPTIONS = 73, 1973 MATOP_FIND_ZERO_DIAGONALS = 74, 1974 MATOP_MULT_MULTIPLE = 75, 1975 MATOP_SOLVE_MULTIPLE = 76, 1976 MATOP_GET_INERTIA = 77, 1977 MATOP_LOAD = 78, 1978 MATOP_IS_SYMMETRIC = 79, 1979 MATOP_IS_HERMITIAN = 80, 1980 MATOP_IS_STRUCTURALLY_SYMMETRIC = 81, 1981 MATOP_SET_VALUES_BLOCKEDLOCAL = 82, 1982 MATOP_CREATE_VECS = 83, 1983 MATOP_MAT_MULT_SYMBOLIC = 84, 1984 MATOP_MAT_MULT_NUMERIC = 85, 1985 MATOP_PTAP_NUMERIC = 86, 1986 MATOP_MAT_TRANSPOSE_MULT_SYMBO = 87, 1987 MATOP_MAT_TRANSPOSE_MULT_NUMER = 88, 1988 MATOP_BIND_TO_CPU = 89, 1989 MATOP_PRODUCTSETFROMOPTIONS = 90, 1990 MATOP_PRODUCTSYMBOLIC = 91, 1991 MATOP_PRODUCTNUMERIC = 92, 1992 MATOP_CONJUGATE = 93, 1993 MATOP_VIEW_NATIVE = 94, 1994 MATOP_SET_VALUES_ROW = 95, 1995 MATOP_REAL_PART = 96, 1996 MATOP_IMAGINARY_PART = 97, 1997 MATOP_GET_ROW_UPPER_TRIANGULAR = 98, 1998 MATOP_RESTORE_ROW_UPPER_TRIANG = 99, 1999 MATOP_MAT_SOLVE = 100, 2000 MATOP_MAT_SOLVE_TRANSPOSE = 101, 2001 MATOP_GET_ROW_MIN = 102, 2002 MATOP_GET_COLUMN_VECTOR = 103, 2003 MATOP_MISSING_DIAGONAL = 104, 2004 MATOP_GET_SEQ_NONZERO_STRUCTUR = 105, 2005 MATOP_CREATE = 106, 2006 MATOP_GET_GHOSTS = 107, 2007 MATOP_GET_LOCAL_SUB_MATRIX = 108, 2008 MATOP_RESTORE_LOCALSUB_MATRIX = 109, 2009 MATOP_MULT_DIAGONAL_BLOCK = 110, 2010 MATOP_HERMITIAN_TRANSPOSE = 111, 2011 MATOP_MULT_HERMITIAN_TRANSPOSE = 112, 2012 MATOP_MULT_HERMITIAN_TRANS_ADD = 113, 2013 MATOP_GET_MULTI_PROC_BLOCK = 114, 2014 MATOP_FIND_NONZERO_ROWS = 115, 2015 MATOP_GET_COLUMN_NORMS = 116, 2016 MATOP_INVERT_BLOCK_DIAGONAL = 117, 2017 MATOP_INVERT_VBLOCK_DIAGONAL = 118, 2018 MATOP_CREATE_SUB_MATRICES_MPI = 119, 2019 MATOP_SET_VALUES_BATCH = 120, 2020 MATOP_TRANSPOSE_MAT_MULT_SYMBO = 121, 2021 MATOP_TRANSPOSE_MAT_MULT_NUMER = 122, 2022 MATOP_TRANSPOSE_COLORING_CREAT = 123, 2023 MATOP_TRANS_COLORING_APPLY_SPT = 124, 2024 MATOP_TRANS_COLORING_APPLY_DEN = 125, 2025 MATOP_RART_NUMERIC = 126, 2026 MATOP_SET_BLOCK_SIZES = 127, 2027 MATOP_RESIDUAL = 128, 2028 MATOP_FDCOLORING_SETUP = 129, 2029 MATOP_FIND_OFFBLOCK_ENTRIES = 130, 2030 MATOP_MPICONCATENATESEQ = 131, 2031 MATOP_DESTROYSUBMATRICES = 132, 2032 MATOP_MAT_TRANSPOSE_SOLVE = 133, 2033 MATOP_GET_VALUES_LOCAL = 134, 2034 MATOP_CREATE_GRAPH = 135, 2035 MATOP_TRANSPOSE_SYMBOLIC = 136, 2036 MATOP_ELIMINATE_ZEROS = 137, 2037 MATOP_GET_ROW_SUM_ABS = 138, 2038 MATOP_GET_FACTOR = 139, 2039 MATOP_GET_BLOCK_DIAGONAL = 140, /* NOTE: caller of the two op functions owns the returned matrix */ 2040 MATOP_GET_VBLOCK_DIAGONAL = 141, /* and need to destroy it after use. */ 2041 MATOP_COPY_HASH_TO_XAIJ = 142, 2042 MATOP_GET_CURRENT_MEM_TYPE = 143, 2043 MATOP_ZERO_ROWS_COLUMNS_LOCAL = 144 2044 } MatOperation; 2045 2046 PETSC_EXTERN PetscErrorCode MatSetOperation(Mat, MatOperation, PetscErrorCodeFn *); 2047 PETSC_EXTERN PetscErrorCode MatGetOperation(Mat, MatOperation, PetscErrorCodeFn **); 2048 PETSC_EXTERN PetscErrorCode MatHasOperation(Mat, MatOperation, PetscBool *); 2049 PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat, PetscBool *); 2050 PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatProductClear()", ) static inline PetscErrorCode MatFreeIntermediateDataStructures(Mat A) 2051 { 2052 return MatProductClear(A); 2053 } 2054 PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat, MatOperation, PetscErrorCodeFn *); 2055 PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat, MatOperation, PetscErrorCodeFn **); 2056 PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat, void *); 2057 PETSC_EXTERN PetscErrorCode MatShellSetContextDestroy(Mat, PetscCtxDestroyFn *); 2058 PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat, VecType); 2059 PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *); 2060 PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *); 2061 PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat); 2062 PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType); 2063 PETSC_EXTERN PetscErrorCode MatIsShell(Mat, PetscBool *); 2064 2065 /* 2066 Codes for matrices stored on disk. By default they are 2067 stored in a universal format. By changing the format with 2068 PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will 2069 be stored in a way natural for the matrix, for example dense matrices 2070 would be stored as dense. Matrices stored this way may only be 2071 read into matrices of the same type. 2072 */ 2073 #define MATRIX_BINARY_FORMAT_DENSE -1 2074 2075 PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat, PetscReal); 2076 2077 PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat, MatType); 2078 PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]); 2079 PETSC_EXTERN PetscErrorCode MatISSetAllowRepeated(Mat, PetscBool); 2080 PETSC_EXTERN PetscErrorCode MatISGetAllowRepeated(Mat, PetscBool *); 2081 PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat, PetscBool); 2082 PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat, PetscBool); 2083 PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat, Mat *); 2084 PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat, Mat *); 2085 PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat, Mat); 2086 PETSC_EXTERN PetscErrorCode MatISGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *); 2087 2088 /*S 2089 MatNullSpace - Object that removes a null space from a vector, i.e. 2090 orthogonalizes the vector to a subspace 2091 2092 Level: advanced 2093 2094 .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()` 2095 S*/ 2096 typedef struct _p_MatNullSpace *MatNullSpace; 2097 2098 /*S 2099 MatNullSpaceRemoveFn - Function provided to `MatNullSpaceSetFunction()` that removes the null space from a vector 2100 2101 Level: advanced 2102 2103 Calling Sequence: 2104 + nsp - the `MatNullSpace` object 2105 . x - the vector from which to remove the null space 2106 - ctx - [optional] user-defined function context provided with `MatNullSpaceSetFunction()` 2107 2108 .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()` 2109 S*/ 2110 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatNullSpaceRemoveFn(MatNullSpace nsp, Vec x, void *ctx); 2111 2112 PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm, PetscBool, PetscInt, const Vec[], MatNullSpace *); 2113 PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace, MatNullSpaceRemoveFn *, void *); 2114 PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace *); 2115 PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace, Vec); 2116 PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *); 2117 PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *); 2118 PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat, MatNullSpace); 2119 PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat, MatNullSpace); 2120 PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat, MatNullSpace); 2121 PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat, MatNullSpace *); 2122 PETSC_EXTERN PetscErrorCode MatGetNullSpaces(PetscInt, Mat[], MatNullSpace *[]); 2123 PETSC_EXTERN PetscErrorCode MatRestoreNullSpaces(PetscInt, Mat[], MatNullSpace *[]); 2124 PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace, Mat, PetscBool *); 2125 PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace, PetscViewer); 2126 PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace, PetscBool *, PetscInt *, const Vec **); 2127 PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec, MatNullSpace *); 2128 2129 PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat, IS); 2130 PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat, PetscReal); 2131 PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat, PetscInt *); 2132 2133 PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat, PetscInt, Mat *); 2134 PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat, PetscInt, Mat *); 2135 PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat, Mat *); 2136 2137 PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat, MatType, Mat *); 2138 PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat, MatType, Mat *); 2139 2140 PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperator()", ) static inline PetscErrorCode MatComputeExplicitOperator(Mat A, Mat *B) 2141 { 2142 return MatComputeOperator(A, PETSC_NULLPTR, B); 2143 } 2144 PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperatorTranspose()", ) static inline PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A, Mat *B) 2145 { 2146 return MatComputeOperatorTranspose(A, PETSC_NULLPTR, B); 2147 } 2148 2149 PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat, PetscInt, PetscInt, const PetscScalar[], const PetscScalar[], Mat *); 2150 PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat, Mat *); 2151 PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat, PetscInt *, PetscInt *, PetscScalar **); 2152 PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat, PetscInt *, PetscInt *, const PetscScalar **); 2153 PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat, PetscScalar **); 2154 PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat, const PetscScalar **); 2155 PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat, PetscInt *, PetscInt *, PetscScalar **); 2156 PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat, PetscInt *, PetscInt *, const PetscScalar **); 2157 PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat, PetscScalar **); 2158 PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat, const PetscScalar **); 2159 PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat, Mat); 2160 PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat, PetscInt, PetscInt, const PetscScalar[]); 2161 PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat, PetscInt, PetscInt, const PetscScalar[]); 2162 PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat, PetscBool *); 2163 2164 PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat, Vec); 2165 2166 PETSC_EXTERN PetscErrorCode MatMFFDInitializePackage(void); 2167 PETSC_EXTERN PetscErrorCode MatMFFDFinalizePackage(void); 2168 2169 /*S 2170 MatMFFDFn - Function provided to `MatMFFDSetFunction()` that computes the function being differenced 2171 2172 Level: advanced 2173 2174 Calling Sequence: 2175 + ctx - [optional] user-defined function context provided with `MatMFFDSetFunction()` 2176 . x - input vector 2177 - y - output vector 2178 2179 .seealso: [](ch_matrices), `Mat`, `MatCreateMFFD()`, `MatMFFDSetFunction()`, `MatMFFDiFn`, `MatMFFDiBaseFn` 2180 S*/ 2181 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatMFFDFn(void *ctx, Vec x, Vec y); 2182 2183 /*S 2184 MatMFFDiFn - Function provided to `MatMFFDSetFunctioni()` that computes the function being differenced at a single point 2185 2186 Level: advanced 2187 2188 Calling Sequence: 2189 + ctx - [optional] user-defined function context provided with `MatMFFDSetFunction()` 2190 . i - the component of the vector to compute 2191 . x - input vector 2192 - result - the value of the function at that component (output) 2193 2194 .seealso: [](ch_matrices), `Mat`, `MatCreateMFFD()`, `MatMFFDSetFunction()`, `MatMFFDFn`, `MatMFFDiBaseFn` 2195 S*/ 2196 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatMFFDiFn(void *ctx, PetscInt i, Vec x, PetscScalar *result); 2197 2198 /*S 2199 MatMFFDiBaseFn - Function provided to `MatMFFDSetFunctioniBase()` that computes the base of the function evaluations 2200 that will be used for differencing 2201 2202 Level: advanced 2203 2204 Calling Sequence: 2205 + ctx - [optional] user-defined function context provided with `MatMFFDSetFunction()` 2206 - x - input base vector 2207 2208 .seealso: [](ch_matrices), `Mat`, `MatCreateMFFD()`, `MatMFFDSetFunction()`, `MatMFFDSetFunctioniBase()`, `MatMFFDFn`, `MatMFFDiFn` 2209 S*/ 2210 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatMFFDiBaseFn(void *ctx, Vec x); 2211 2212 /*S 2213 MatMFFDCheckhFn - Function provided to `MatMFFDSetCheckh()` that checks and possibly adjusts the value of `h` to ensure some property. 2214 that will be used for differencing 2215 2216 Level: advanced 2217 2218 Calling Sequence: 2219 + ctx - [optional] user-defined function context provided with `MatMFFDSetCheckh()` 2220 . x - input base vector 2221 . y - input step vector that the product is computed with 2222 - h - input tentative step, output possibly adjusted step 2223 2224 Note: 2225 `MatMFFDCheckPositivity()` is one such function 2226 2227 .seealso: [](ch_matrices), `Mat`, `MatCreateMFFD()`, `MatMFFDSetCheckh()`, `MatMFFDCheckPositivity()` 2228 S*/ 2229 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatMFFDCheckhFn(void *ctx, Vec x, Vec y, PetscScalar *h); 2230 2231 PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, Mat *); 2232 PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat, Vec, Vec); 2233 PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat, MatMFFDFn *, void *); 2234 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat, MatMFFDiFn *); 2235 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat, MatMFFDiBaseFn *); 2236 PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat, PetscScalar[], PetscInt); 2237 PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat); 2238 PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat, PetscReal); 2239 PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat, PetscInt); 2240 PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat, PetscScalar *); 2241 PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat, const char[]); 2242 PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void *, Vec, Vec, PetscScalar *); 2243 PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat, MatMFFDCheckhFn *, void *); 2244 2245 /*S 2246 MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free 2247 Jacobian vector products 2248 2249 Level: developer 2250 2251 Notes: 2252 `MATMFFD` is a specific `MatType` which uses the `MatMFFD` data structure 2253 2254 MatMFFD*() methods actually take the `Mat` as their first argument. Not a `MatMFFD` data structure 2255 2256 This functionality is often obtained using `MatCreateSNESMF()` or with `SNES` solvers using `-snes_mf` or `-snes_mf_operator` 2257 2258 .seealso: [](ch_matrices), `MatMFFDType`, `MATMFFD`, `MatCreateMFFD()`, `MatMFFDSetFuction()`, `MatMFFDSetType()`, `MatMFFDRegister()`, 2259 `MatCreateSNESMF()`, `SNES`, `-snes_mf`, `-snes_mf_operator` 2260 S*/ 2261 typedef struct _p_MatMFFD *MatMFFD; 2262 2263 /*J 2264 MatMFFDType - algorithm used to compute the `h` used in computing matrix-vector products via differencing of a function 2265 2266 Values: 2267 + `MATMFFD_DS` - an algorithm described by Dennis and Schnabel {cite}`dennis:83` 2268 - `MATMFFD_WP` - the Walker-Pernice {cite}`pw98` strategy. 2269 2270 Level: beginner 2271 2272 .seealso: [](ch_matrices), `MatMFFDSetType()`, `MatMFFDRegister()`, `MatMFFDSetFunction()`, `MatCreateMFFD()` 2273 J*/ 2274 typedef const char *MatMFFDType; 2275 #define MATMFFD_DS "ds" 2276 #define MATMFFD_WP "wp" 2277 2278 PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat, MatMFFDType); 2279 PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[], PetscErrorCode (*)(MatMFFD)); 2280 2281 PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat, PetscReal); 2282 PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat, PetscBool); 2283 2284 PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring, MatMFFDType); 2285 2286 PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *); 2287 PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *); 2288 2289 #ifdef PETSC_HAVE_H2OPUS 2290 PETSC_EXTERN_TYPEDEF typedef PetscScalar(MatH2OpusKernelFn)(PetscInt, PetscReal[], PetscReal[], void *); 2291 PETSC_EXTERN_TYPEDEF typedef MatH2OpusKernelFn *MatH2OpusKernel; 2292 2293 PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], PetscBool, MatH2OpusKernelFn *, void *, PetscReal, PetscInt, PetscInt, Mat *); 2294 PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromMat(Mat, PetscInt, const PetscReal[], PetscBool, PetscReal, PetscInt, PetscInt, PetscInt, PetscReal, Mat *); 2295 PETSC_EXTERN PetscErrorCode MatH2OpusSetSamplingMat(Mat, Mat, PetscInt, PetscReal); 2296 PETSC_EXTERN PetscErrorCode MatH2OpusOrthogonalize(Mat); 2297 PETSC_EXTERN PetscErrorCode MatH2OpusCompress(Mat, PetscReal); 2298 PETSC_EXTERN PetscErrorCode MatH2OpusSetNativeMult(Mat, PetscBool); 2299 PETSC_EXTERN PetscErrorCode MatH2OpusGetNativeMult(Mat, PetscBool *); 2300 PETSC_EXTERN PetscErrorCode MatH2OpusGetIndexMap(Mat, IS *); 2301 PETSC_EXTERN PetscErrorCode MatH2OpusMapVec(Mat, PetscBool, Vec, Vec *); 2302 PETSC_EXTERN PetscErrorCode MatH2OpusLowRankUpdate(Mat, Mat, Mat, PetscScalar); 2303 #endif 2304 2305 #ifdef PETSC_HAVE_HTOOL 2306 PETSC_EXTERN_TYPEDEF typedef PetscErrorCode MatHtoolKernelFn(PetscInt, PetscInt, PetscInt, const PetscInt *, const PetscInt *, PetscScalar *, void *); 2307 PETSC_EXTERN_TYPEDEF typedef MatHtoolKernelFn *MatHtoolKernel; 2308 2309 PETSC_EXTERN PetscErrorCode MatCreateHtoolFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], const PetscReal[], MatHtoolKernelFn *, void *, Mat *); 2310 PETSC_EXTERN PetscErrorCode MatHtoolSetKernel(Mat, MatHtoolKernelFn *, void *); 2311 PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationSource(Mat, IS *); 2312 PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationTarget(Mat, IS *); 2313 PETSC_EXTERN PetscErrorCode MatHtoolUsePermutation(Mat, PetscBool); 2314 PETSC_EXTERN PetscErrorCode MatHtoolUseRecompression(Mat, PetscBool); 2315 2316 /*E 2317 MatHtoolCompressorType - Indicates the type of compressor used by a `MATHTOOL` 2318 2319 Values: 2320 + `MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA` (default) - symmetric partial adaptive cross approximation 2321 . `MAT_HTOOL_COMPRESSOR_FULL_ACA` - full adaptive cross approximation 2322 - `MAT_HTOOL_COMPRESSOR_SVD` - singular value decomposition 2323 2324 Level: intermediate 2325 2326 .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolClusteringType` 2327 E*/ 2328 typedef enum { 2329 MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA, 2330 MAT_HTOOL_COMPRESSOR_FULL_ACA, 2331 MAT_HTOOL_COMPRESSOR_SVD 2332 } MatHtoolCompressorType; 2333 2334 /*E 2335 MatHtoolClusteringType - Indicates the type of clustering used by a `MATHTOOL` 2336 2337 Values: 2338 + `MAT_HTOOL_CLUSTERING_PCA_REGULAR` (default) - axis computed via principle component analysis, split uniformly 2339 . `MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC` - axis computed via principle component analysis, split barycentrically 2340 . `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR` - axis along the largest extent of the bounding box, split uniformly 2341 - `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC` - axis along the largest extent of the bounding box, split barycentrically 2342 2343 Level: intermediate 2344 2345 Note: 2346 Higher-dimensional clustering is not yet supported in Htool, but once it is, one should add BOUNDING_BOX_{2,3} types 2347 2348 .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolCompressorType` 2349 E*/ 2350 typedef enum { 2351 MAT_HTOOL_CLUSTERING_PCA_REGULAR, 2352 MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC, 2353 MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR, 2354 MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC 2355 } MatHtoolClusteringType; 2356 #endif 2357 2358 #ifdef PETSC_HAVE_MUMPS 2359 PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat, PetscInt, PetscInt); 2360 PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat, PetscInt, PetscInt *); 2361 PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat, PetscInt, PetscReal); 2362 PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat, PetscInt, PetscReal *); 2363 2364 PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat, PetscInt, PetscInt *); 2365 PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat, PetscInt, PetscInt *); 2366 PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat, PetscInt, PetscReal *); 2367 PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat, PetscInt, PetscReal *); 2368 PETSC_EXTERN PetscErrorCode MatMumpsGetNullPivots(Mat, PetscInt *, PetscInt **); 2369 PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat, Mat); 2370 PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat, Mat); 2371 PETSC_EXTERN PetscErrorCode MatMumpsSetBlk(Mat, PetscInt, const PetscInt[], const PetscInt[]); 2372 #else 2373 static inline PetscErrorCode MatMumpsSetIcntl(PETSC_UNUSED Mat F, PETSC_UNUSED PetscInt icntl, PETSC_UNUSED PetscInt ival) 2374 { 2375 return PETSC_SUCCESS; 2376 } 2377 static inline PetscErrorCode MatMumpsSetCntl(PETSC_UNUSED Mat F, PETSC_UNUSED PetscInt icntl, PETSC_UNUSED PetscReal val) 2378 { 2379 return PETSC_SUCCESS; 2380 } 2381 #endif 2382 2383 #ifdef PETSC_HAVE_MKL_PARDISO 2384 PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat, PetscInt, PetscInt); 2385 #endif 2386 2387 #ifdef PETSC_HAVE_MKL_CPARDISO 2388 PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat, PetscInt, PetscInt); 2389 #endif 2390 2391 #ifdef PETSC_HAVE_SUPERLU 2392 PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat, PetscReal); 2393 #endif 2394 2395 #ifdef PETSC_HAVE_SUPERLU_DIST 2396 PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat, PetscScalar *); 2397 #endif 2398 2399 #ifdef PETSC_HAVE_STRUMPACK 2400 /*E 2401 MatSTRUMPACKReordering - sparsity reducing ordering to be used in `MATSOLVERSTRUMPACK` 2402 2403 Values: 2404 + `MAT_STRUMPACK_NATURAL` - use the current ordering 2405 . `MAT_STRUMPACK_METIS` - use MeTis to compute an ordering 2406 . `MAT_STRUMPACK_PARMETIS` - use ParMeTis to compute an ordering 2407 . `MAT_STRUMPACK_SCOTCH` - use Scotch to compute an ordering 2408 . `MAT_STRUMPACK_PTSCOTCH` - use parallel Scotch to compute an ordering 2409 . `MAT_STRUMPACK_RCM` - use an RCM ordering 2410 . `MAT_STRUMPACK_GEOMETRIC` - use a geometric ordering (needs mesh info from user) 2411 . `MAT_STRUMPACK_AMD` - approximate minimum degree 2412 . `MAT_STRUMPACK_MMD` - multiple minimum degree 2413 . `MAT_STRUMPACK_AND` - approximate nested dissection 2414 . `MAT_STRUMPACK_MLF` - minimum local fill 2415 - `MAT_STRUMPACK_SPECTRAL` - spectral nested dissection 2416 2417 Level: intermediate 2418 2419 Developer Note: 2420 Should be called `MatSTRUMPACKReorderingType` 2421 2422 .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetReordering()` 2423 E*/ 2424 typedef enum { 2425 MAT_STRUMPACK_NATURAL, 2426 MAT_STRUMPACK_METIS, 2427 MAT_STRUMPACK_PARMETIS, 2428 MAT_STRUMPACK_SCOTCH, 2429 MAT_STRUMPACK_PTSCOTCH, 2430 MAT_STRUMPACK_RCM, 2431 MAT_STRUMPACK_GEOMETRIC, 2432 MAT_STRUMPACK_AMD, 2433 MAT_STRUMPACK_MMD, 2434 MAT_STRUMPACK_AND, 2435 MAT_STRUMPACK_MLF, 2436 MAT_STRUMPACK_SPECTRAL 2437 } MatSTRUMPACKReordering; 2438 2439 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat, MatSTRUMPACKReordering); 2440 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetReordering(Mat, MatSTRUMPACKReordering *); 2441 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricNxyz(Mat, PetscInt, PetscInt, PetscInt); 2442 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricComponents(Mat, PetscInt); 2443 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricWidth(Mat, PetscInt); 2444 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat, PetscBool); 2445 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetColPerm(Mat, PetscBool *); 2446 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGPU(Mat, PetscBool); 2447 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetGPU(Mat, PetscBool *); 2448 2449 /*E 2450 MatSTRUMPACKCompressionType - Compression used in the approximate sparse factorization solver `MATSOLVERSTRUMPACK` 2451 2452 Values: 2453 + `MAT_STRUMPACK_COMPRESSION_TYPE_NONE` - no compression, direct solver 2454 . `MAT_STRUMPACK_COMPRESSION_TYPE_HSS` - hierarchically semi-separable 2455 . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR` - block low rank 2456 . `MAT_STRUMPACK_COMPRESSION_TYPE_HODLR` - hierarchically off-diagonal low rank (requires ButterfyPACK support, configure with --download-butterflypack) 2457 . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR` - hybrid of BLR and HODLR (requires ButterfyPACK support, configure with --download-butterflypack) 2458 . `MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR` - hybrid of lossy (ZFP), BLR and HODLR (requires ButterfyPACK and ZFP support, configure with --download-butterflypack --download-zfp) 2459 . `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS` - lossless compression (requires ZFP support, configure with --download-zfp) 2460 - `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY` - lossy compression (requires ZFP support, configure with --download-zfp) 2461 2462 Level: intermediate 2463 2464 .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetCompression()` 2465 E*/ 2466 typedef enum { 2467 MAT_STRUMPACK_COMPRESSION_TYPE_NONE, 2468 MAT_STRUMPACK_COMPRESSION_TYPE_HSS, 2469 MAT_STRUMPACK_COMPRESSION_TYPE_BLR, 2470 MAT_STRUMPACK_COMPRESSION_TYPE_HODLR, 2471 MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR, 2472 MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR, 2473 MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS, 2474 MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY 2475 } MatSTRUMPACKCompressionType; 2476 2477 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompression(Mat, MatSTRUMPACKCompressionType); 2478 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompression(Mat, MatSTRUMPACKCompressionType *); 2479 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompRelTol(Mat, PetscReal); 2480 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompRelTol(Mat, PetscReal *); 2481 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompAbsTol(Mat, PetscReal); 2482 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompAbsTol(Mat, PetscReal *); 2483 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompMinSepSize(Mat, PetscInt); 2484 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompMinSepSize(Mat, PetscInt *); 2485 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLeafSize(Mat, PetscInt); 2486 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLeafSize(Mat, PetscInt *); 2487 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLossyPrecision(Mat, PetscInt); 2488 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLossyPrecision(Mat, PetscInt *); 2489 PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompButterflyLevels(Mat, PetscInt); 2490 PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompButterflyLevels(Mat, PetscInt *); 2491 #endif 2492 2493 PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat, PetscBool); 2494 PETSC_EXTERN PetscErrorCode MatBoundToCPU(Mat, PetscBool *); 2495 PETSC_DEPRECATED_FUNCTION(3, 13, 0, "MatBindToCPU()", ) static inline PetscErrorCode MatPinToCPU(Mat A, PetscBool flg) 2496 { 2497 return MatBindToCPU(A, flg); 2498 } 2499 PETSC_EXTERN PetscErrorCode MatSetBindingPropagates(Mat, PetscBool); 2500 PETSC_EXTERN PetscErrorCode MatGetBindingPropagates(Mat, PetscBool *); 2501 2502 #ifdef PETSC_HAVE_CUDA 2503 /*E 2504 MatCUSPARSEStorageFormat - indicates the storage format for `MATAIJCUSPARSE` (GPU) 2505 matrices. 2506 2507 Values: 2508 + `MAT_CUSPARSE_CSR` - Compressed Sparse Row 2509 . `MAT_CUSPARSE_ELL` - Ellpack (requires CUDA 4.2 or later). 2510 - `MAT_CUSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later). 2511 2512 Level: intermediate 2513 2514 .seealso: [](ch_matrices), `MATAIJCUSPARSE`, `MatCUSPARSESetFormat()`, `MatCUSPARSEFormatOperation` 2515 E*/ 2516 2517 typedef enum { 2518 MAT_CUSPARSE_CSR, 2519 MAT_CUSPARSE_ELL, 2520 MAT_CUSPARSE_HYB 2521 } MatCUSPARSEStorageFormat; 2522 2523 /* these will be strings associated with enumerated type defined above */ 2524 PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[]; 2525 2526 /*E 2527 MatCUSPARSEFormatOperation - indicates the operation of `MATAIJCUSPARSE` (GPU) 2528 matrices whose operation should use a particular storage format. 2529 2530 Values: 2531 + `MAT_CUSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()` 2532 . `MAT_CUSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()` 2533 . `MAT_CUSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()` 2534 - `MAT_CUSPARSE_ALL` - sets the storage format for all `MATAIJCUSPARSE` (GPU) matrices 2535 2536 Level: intermediate 2537 2538 .seealso: [](ch_matrices), `MatCUSPARSESetFormat()`, `MatCUSPARSEStorageFormat` 2539 E*/ 2540 typedef enum { 2541 MAT_CUSPARSE_MULT_DIAG, 2542 MAT_CUSPARSE_MULT_OFFDIAG, 2543 MAT_CUSPARSE_MULT, 2544 MAT_CUSPARSE_ALL 2545 } MatCUSPARSEFormatOperation; 2546 2547 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2548 PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2549 PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat, MatCUSPARSEFormatOperation, MatCUSPARSEStorageFormat); 2550 PETSC_EXTERN PetscErrorCode MatCUSPARSESetUseCPUSolve(Mat, PetscBool); 2551 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetIJ(Mat, PetscBool, const int **, const int **); 2552 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreIJ(Mat, PetscBool, const int **, const int **); 2553 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayRead(Mat, const PetscScalar **); 2554 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayRead(Mat, const PetscScalar **); 2555 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayWrite(Mat, PetscScalar **); 2556 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayWrite(Mat, PetscScalar **); 2557 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArray(Mat, PetscScalar **); 2558 PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArray(Mat, PetscScalar **); 2559 2560 PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *); 2561 PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *); 2562 PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat, PetscScalar **); 2563 PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat, const PetscScalar **); 2564 PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat, PetscScalar **); 2565 PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat, PetscScalar **); 2566 PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat, const PetscScalar **); 2567 PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat, PetscScalar **); 2568 PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat, const PetscScalar *); 2569 PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat, const PetscScalar *); 2570 PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat); 2571 PETSC_EXTERN PetscErrorCode MatDenseCUDASetPreallocation(Mat, PetscScalar *); 2572 2573 PETSC_EXTERN PetscErrorCode MatCreateSeqSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2574 PETSC_EXTERN PetscErrorCode MatCreateSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2575 #endif 2576 2577 #ifdef PETSC_HAVE_HIP 2578 /*E 2579 MatHIPSPARSEStorageFormat - indicates the storage format for `MATAIJHIPSPARSE` (GPU) 2580 matrices. 2581 2582 Values: 2583 + `MAT_HIPSPARSE_CSR` - Compressed Sparse Row 2584 . `MAT_HIPSPARSE_ELL` - Ellpack 2585 - `MAT_HIPSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format 2586 2587 Level: intermediate 2588 2589 .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEFormatOperation` 2590 E*/ 2591 2592 typedef enum { 2593 MAT_HIPSPARSE_CSR, 2594 MAT_HIPSPARSE_ELL, 2595 MAT_HIPSPARSE_HYB 2596 } MatHIPSPARSEStorageFormat; 2597 2598 /* these will be strings associated with enumerated type defined above */ 2599 PETSC_EXTERN const char *const MatHIPSPARSEStorageFormats[]; 2600 2601 /*E 2602 MatHIPSPARSEFormatOperation - indicates the operation of `MATAIJHIPSPARSE` (GPU) 2603 matrices whose operation should use a particular storage format. 2604 2605 Values: 2606 + `MAT_HIPSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()` 2607 . `MAT_HIPSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()` 2608 . `MAT_HIPSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()` 2609 - `MAT_HIPSPARSE_ALL` - sets the storage format for all HIPSPARSE (GPU) matrices 2610 2611 Level: intermediate 2612 2613 .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEStorageFormat` 2614 E*/ 2615 typedef enum { 2616 MAT_HIPSPARSE_MULT_DIAG, 2617 MAT_HIPSPARSE_MULT_OFFDIAG, 2618 MAT_HIPSPARSE_MULT, 2619 MAT_HIPSPARSE_ALL 2620 } MatHIPSPARSEFormatOperation; 2621 2622 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2623 PETSC_EXTERN PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2624 PETSC_EXTERN PetscErrorCode MatHIPSPARSESetFormat(Mat, MatHIPSPARSEFormatOperation, MatHIPSPARSEStorageFormat); 2625 PETSC_EXTERN PetscErrorCode MatHIPSPARSESetUseCPUSolve(Mat, PetscBool); 2626 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetIJ(Mat, PetscBool, const int **, const int **); 2627 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreIJ(Mat, PetscBool, const int **, const int **); 2628 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayRead(Mat, const PetscScalar **); 2629 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayRead(Mat, const PetscScalar **); 2630 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayWrite(Mat, PetscScalar **); 2631 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayWrite(Mat, PetscScalar **); 2632 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArray(Mat, PetscScalar **); 2633 PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArray(Mat, PetscScalar **); 2634 2635 PETSC_EXTERN PetscErrorCode MatCreateDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *); 2636 PETSC_EXTERN PetscErrorCode MatCreateSeqDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *); 2637 PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayWrite(Mat, PetscScalar **); 2638 PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayRead(Mat, const PetscScalar **); 2639 PETSC_EXTERN PetscErrorCode MatDenseHIPGetArray(Mat, PetscScalar **); 2640 PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayWrite(Mat, PetscScalar **); 2641 PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayRead(Mat, const PetscScalar **); 2642 PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArray(Mat, PetscScalar **); 2643 PETSC_EXTERN PetscErrorCode MatDenseHIPPlaceArray(Mat, const PetscScalar *); 2644 PETSC_EXTERN PetscErrorCode MatDenseHIPReplaceArray(Mat, const PetscScalar *); 2645 PETSC_EXTERN PetscErrorCode MatDenseHIPResetArray(Mat); 2646 PETSC_EXTERN PetscErrorCode MatDenseHIPSetPreallocation(Mat, PetscScalar *); 2647 PETSC_EXTERN PetscErrorCode MatCreateSeqSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2648 PETSC_EXTERN PetscErrorCode MatCreateSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2649 #endif 2650 2651 #if defined(PETSC_HAVE_VIENNACL) 2652 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2653 PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2654 #endif 2655 2656 #if PetscDefined(HAVE_KOKKOS) 2657 PETSC_EXTERN PetscErrorCode MatCreateAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *); 2658 PETSC_EXTERN PetscErrorCode MatCreateSeqAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *); 2659 #endif 2660 2661 #if defined(PETSC_HAVE_FFTW) 2662 PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat, Vec, Vec); 2663 PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat, Vec, Vec); 2664 PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat, Vec *, Vec *, Vec *); 2665 #endif 2666 2667 #if defined(PETSC_HAVE_SCALAPACK) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE)) 2668 PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *); 2669 PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat, PetscInt, PetscInt); 2670 PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat, PetscInt *, PetscInt *); 2671 #endif 2672 2673 PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm, PetscInt, const IS[], PetscInt, const IS[], const Mat[], Mat *); 2674 PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat, PetscInt *, PetscInt *); 2675 PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat, IS[], IS[]); 2676 PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat, IS[], IS[]); 2677 PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat, PetscInt *, PetscInt *, Mat ***); 2678 PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat, PetscInt, PetscInt, Mat *); 2679 PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat, VecType); 2680 PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat, PetscInt, const IS[], PetscInt, const IS[], const Mat[]); 2681 PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat, PetscInt, PetscInt, Mat); 2682 2683 PETSC_EXTERN PetscErrorCode MatFilter(Mat, PetscReal, PetscBool, PetscBool); 2684 PETSC_DEPRECATED_FUNCTION(3, 20, 0, "MatFilter()", ) static inline PetscErrorCode MatChop(Mat A, PetscReal tol) 2685 { 2686 return MatFilter(A, tol, PETSC_FALSE, PETSC_FALSE); 2687 } 2688 PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat, PetscReal, PetscInt *); 2689 2690 PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat, PetscInt, PetscInt *, IS **); 2691 2692 PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat, PetscBool, Mat); 2693 2694 PETSC_EXTERN PetscErrorCode MatHeaderMerge(Mat, Mat *); 2695 PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat, Mat *); 2696 2697 PETSC_EXTERN PetscErrorCode MatSeqAIJGetCSRAndMemType(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *); 2698 2699 PETSC_EXTERN PetscErrorCode MatCreateGraph(Mat, PetscBool, PetscBool, PetscReal, PetscInt, PetscInt[], Mat *); 2700 PETSC_EXTERN PetscErrorCode MatEliminateZeros(Mat, PetscBool); 2701 2702 PETSC_EXTERN PetscErrorCode MatCreateDenseFromVecType(MPI_Comm, VecType, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar *, Mat *); 2703 2704 PETSC_EXTERN PetscErrorCode MatSetHPL(Mat, int); 2705 #define PETSCBMHPL "hpl" 2706 2707 PETSC_EXTERN PetscErrorCode MatDFischer(Mat, Vec, Vec, Vec, Vec, Vec, Vec, Vec, Vec); 2708