Actual source code: petscmat.h
1: /*
2: Include file for the matrix component of PETSc
3: */
4: #ifndef PETSCMAT_H
5: #define PETSCMAT_H
7: #include <petscvec.h>
9: /* SUBMANSEC = Mat */
11: /*S
12: Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without
13: an explicit sparse representation (such as matrix-free operators)
15: Level: beginner
17: Note:
18: See [](doc_matrix), [](ch_matrices) and `MatType` for available matrix types
20: .seealso: [](doc_matrix), [](ch_matrices), `MatCreate()`, `MatType`, `MatSetType()`, `MatDestroy()`
21: S*/
22: typedef struct _p_Mat *Mat;
24: /*J
25: MatType - String with the name of a PETSc matrix type
27: Level: beginner
29: Note:
30: [](doc_matrix) for a table of available matrix types
32: .seealso: [](doc_matrix), [](ch_matrices), `MatSetType()`, `Mat`, `MatSolverType`, `MatRegister()`
33: J*/
34: typedef const char *MatType;
35: #define MATSAME "same"
36: #define MATMAIJ "maij"
37: #define MATSEQMAIJ "seqmaij"
38: #define MATMPIMAIJ "mpimaij"
39: #define MATKAIJ "kaij"
40: #define MATSEQKAIJ "seqkaij"
41: #define MATMPIKAIJ "mpikaij"
42: #define MATIS "is"
43: #define MATAIJ "aij"
44: #define MATSEQAIJ "seqaij"
45: #define MATMPIAIJ "mpiaij"
46: #define MATAIJCRL "aijcrl"
47: #define MATSEQAIJCRL "seqaijcrl"
48: #define MATMPIAIJCRL "mpiaijcrl"
49: #define MATAIJCUSPARSE "aijcusparse"
50: #define MATSEQAIJCUSPARSE "seqaijcusparse"
51: #define MATMPIAIJCUSPARSE "mpiaijcusparse"
52: #define MATAIJHIPSPARSE "aijhipsparse"
53: #define MATSEQAIJHIPSPARSE "seqaijhipsparse"
54: #define MATMPIAIJHIPSPARSE "mpiaijhipsparse"
55: #define MATAIJKOKKOS "aijkokkos"
56: #define MATSEQAIJKOKKOS "seqaijkokkos"
57: #define MATMPIAIJKOKKOS "mpiaijkokkos"
58: #define MATAIJVIENNACL "aijviennacl"
59: #define MATSEQAIJVIENNACL "seqaijviennacl"
60: #define MATMPIAIJVIENNACL "mpiaijviennacl"
61: #define MATAIJPERM "aijperm"
62: #define MATSEQAIJPERM "seqaijperm"
63: #define MATMPIAIJPERM "mpiaijperm"
64: #define MATAIJSELL "aijsell"
65: #define MATSEQAIJSELL "seqaijsell"
66: #define MATMPIAIJSELL "mpiaijsell"
67: #define MATAIJMKL "aijmkl"
68: #define MATSEQAIJMKL "seqaijmkl"
69: #define MATMPIAIJMKL "mpiaijmkl"
70: #define MATBAIJMKL "baijmkl"
71: #define MATSEQBAIJMKL "seqbaijmkl"
72: #define MATMPIBAIJMKL "mpibaijmkl"
73: #define MATSHELL "shell"
74: #define MATCENTERING "centering"
75: #define MATDENSE "dense"
76: #define MATDENSECUDA "densecuda"
77: #define MATDENSEHIP "densehip"
78: #define MATSEQDENSE "seqdense"
79: #define MATSEQDENSECUDA "seqdensecuda"
80: #define MATSEQDENSEHIP "seqdensehip"
81: #define MATMPIDENSE "mpidense"
82: #define MATMPIDENSECUDA "mpidensecuda"
83: #define MATMPIDENSEHIP "mpidensehip"
84: #define MATELEMENTAL "elemental"
85: #define MATSCALAPACK "scalapack"
86: #define MATBAIJ "baij"
87: #define MATSEQBAIJ "seqbaij"
88: #define MATMPIBAIJ "mpibaij"
89: #define MATMPIADJ "mpiadj"
90: #define MATSBAIJ "sbaij"
91: #define MATSEQSBAIJ "seqsbaij"
92: #define MATMPISBAIJ "mpisbaij"
93: #define MATMFFD "mffd"
94: #define MATNORMAL "normal"
95: #define MATNORMALHERMITIAN "normalh"
96: #define MATLRC "lrc"
97: #define MATSCATTER "scatter"
98: #define MATBLOCKMAT "blockmat"
99: #define MATCOMPOSITE "composite"
100: #define MATFFT "fft"
101: #define MATFFTW "fftw"
102: #define MATSEQCUFFT "seqcufft"
103: #define MATSEQHIPFFT "seqhipfft"
104: #define MATTRANSPOSEMAT PETSC_DEPRECATED_MACRO("GCC warning \"MATTRANSPOSEMAT macro is deprecated use MATTRANSPOSEVIRTUAL (since version 3.18)\"") "transpose"
105: #define MATTRANSPOSEVIRTUAL "transpose"
106: #define MATHERMITIANTRANSPOSEVIRTUAL "hermitiantranspose"
107: #define MATSCHURCOMPLEMENT "schurcomplement"
108: #define MATPYTHON "python"
109: #define MATHYPRE "hypre"
110: #define MATHYPRESTRUCT "hyprestruct"
111: #define MATHYPRESSTRUCT "hypresstruct"
112: #define MATSUBMATRIX "submatrix"
113: #define MATLOCALREF "localref"
114: #define MATNEST "nest"
115: #define MATPREALLOCATOR "preallocator"
116: #define MATSELL "sell"
117: #define MATSEQSELL "seqsell"
118: #define MATMPISELL "mpisell"
119: #define MATDUMMY "dummy"
120: #define MATLMVM "lmvm"
121: #define MATLMVMDFP "lmvmdfp"
122: #define MATLMVMBFGS "lmvmbfgs"
123: #define MATLMVMSR1 "lmvmsr1"
124: #define MATLMVMBROYDEN "lmvmbroyden"
125: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
126: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
127: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
128: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
129: #define MATCONSTANTDIAGONAL "constantdiagonal"
130: #define MATHTOOL "htool"
131: #define MATH2OPUS "h2opus"
133: /*J
134: MatSolverType - String with the name of a PETSc factorization based matrix solver type.
136: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
138: Level: beginner
140: Note:
141: `MATSOLVERUMFPACK`, `MATSOLVERCHOLMOD`, `MATSOLVERKLU`, `MATSOLVERSPQR` form the SuiteSparse package; you can use `--download-suitesparse` as
142: a ./configure option to install them
144: .seealso: [](sec_matfactor), [](ch_matrices), `MatGetFactor()`, `PCFactorSetMatSolverType()`, `PCFactorGetMatSolverType()`
145: J*/
146: typedef const char *MatSolverType;
147: #define MATSOLVERSUPERLU "superlu"
148: #define MATSOLVERSUPERLU_DIST "superlu_dist"
149: #define MATSOLVERSTRUMPACK "strumpack"
150: #define MATSOLVERUMFPACK "umfpack"
151: #define MATSOLVERCHOLMOD "cholmod"
152: #define MATSOLVERKLU "klu"
153: #define MATSOLVERSPARSEELEMENTAL "sparseelemental"
154: #define MATSOLVERELEMENTAL "elemental"
155: #define MATSOLVERSCALAPACK "scalapack"
156: #define MATSOLVERESSL "essl"
157: #define MATSOLVERLUSOL "lusol"
158: #define MATSOLVERMUMPS "mumps"
159: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
160: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
161: #define MATSOLVERPASTIX "pastix"
162: #define MATSOLVERMATLAB "matlab"
163: #define MATSOLVERPETSC "petsc"
164: #define MATSOLVERBAS "bas"
165: #define MATSOLVERCUSPARSE "cusparse"
166: #define MATSOLVERCUSPARSEBAND "cusparseband"
167: #define MATSOLVERCUDA "cuda"
168: #define MATSOLVERHIPSPARSE "hipsparse"
169: #define MATSOLVERHIPSPARSEBAND "hipsparseband"
170: #define MATSOLVERHIP "hip"
171: #define MATSOLVERKOKKOS "kokkos"
172: #define MATSOLVERKOKKOSDEVICE "kokkosdevice"
173: #define MATSOLVERSPQR "spqr"
175: /*E
176: MatFactorType - indicates what type of factorization is requested
178: Values:
179: + `MAT_FACTOR_LU` - LU factorization
180: . `MAT_FACTOR_CHOLESKY` - Cholesky factorization
181: . `MAT_FACTOR_ILU` - ILU factorization
182: . `MAT_FACTOR_ICC` - incomplete Cholesky factorization
183: . `MAT_FACTOR_ILUDT` - ILU factorization with drop tolerance
184: - `MAT_FACTOR_QR` - QR factorization
186: Level: beginner
188: .seealso: [](ch_matrices), `MatSolverType`, `MatGetFactor()`, `MatGetFactorAvailable()`, `MatSolverTypeRegister()`
189: E*/
190: typedef enum {
191: MAT_FACTOR_NONE,
192: MAT_FACTOR_LU,
193: MAT_FACTOR_CHOLESKY,
194: MAT_FACTOR_ILU,
195: MAT_FACTOR_ICC,
196: MAT_FACTOR_ILUDT,
197: MAT_FACTOR_QR,
198: MAT_FACTOR_NUM_TYPES
199: } MatFactorType;
200: PETSC_EXTERN const char *const MatFactorTypes[];
202: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat, MatSolverType, MatFactorType, Mat *);
203: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat, MatSolverType, MatFactorType, PetscBool *);
204: PETSC_EXTERN PetscErrorCode MatFactorGetCanUseOrdering(Mat, PetscBool *);
205: PETSC_DEPRECATED_FUNCTION("Use MatFactorGetCanUseOrdering() (since version 3.15)") static inline PetscErrorCode MatFactorGetUseOrdering(Mat A, PetscBool *b)
206: {
207: return MatFactorGetCanUseOrdering(A, b);
208: }
209: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat, MatSolverType *);
210: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat, MatFactorType *);
211: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat, MatFactorType);
212: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatSolverFunction)(Mat, MatFactorType, Mat *);
213: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType, MatType, MatFactorType, MatSolverFunction);
214: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType, MatType, MatFactorType, PetscBool *, PetscBool *, MatSolverFunction *);
215: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF("Use MatSolverType (since version 3.9)");
216: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeRegister() (since version 3.9)") static inline PetscErrorCode MatSolverPackageRegister(MatSolverType stype, MatType mtype, MatFactorType ftype, MatSolverFunction f)
217: {
218: return MatSolverTypeRegister(stype, mtype, ftype, f);
219: }
220: PETSC_DEPRECATED_FUNCTION("Use MatSolverTypeGet() (since version 3.9)") static inline PetscErrorCode MatSolverPackageGet(MatSolverType stype, MatType mtype, MatFactorType ftype, PetscBool *foundmtype, PetscBool *foundstype, MatSolverFunction *f)
221: {
222: return MatSolverTypeGet(stype, mtype, ftype, foundmtype, foundstype, f);
223: }
225: /*E
226: MatProductType - indicates what type of matrix product is requested
228: Values:
229: + `MATPRODUCT_AB` - product of two matrices
230: . `MATPRODUCT_AtB` - product of the transpose of a given matrix with a matrix
231: . `MATPRODUCT_ABt` - product of a matrix with the transpose of another given matrix
232: . `MATPRODUCT_PtAP` - the triple product of the transpose of a matrix with another matrix and itself
233: . `MATPRODUCT_RARt` - the triple product of a matrix, another matrix and the transpose of the first matrix
234: - `MATPRODUCT_ABC` - the product of three matrices
236: Level: beginner
238: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatProductSetType()`
239: E*/
240: typedef enum {
241: MATPRODUCT_UNSPECIFIED = 0,
242: MATPRODUCT_AB,
243: MATPRODUCT_AtB,
244: MATPRODUCT_ABt,
245: MATPRODUCT_PtAP,
246: MATPRODUCT_RARt,
247: MATPRODUCT_ABC
248: } MatProductType;
249: PETSC_EXTERN const char *const MatProductTypes[];
251: /*J
252: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
254: Level: beginner
256: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatSetType()`, `Mat`, `MatProductSetAlgorithm()`, `MatProductType`
257: J*/
258: typedef const char *MatProductAlgorithm;
259: #define MATPRODUCTALGORITHMDEFAULT "default"
260: #define MATPRODUCTALGORITHMSORTED "sorted"
261: #define MATPRODUCTALGORITHMSCALABLE "scalable"
262: #define MATPRODUCTALGORITHMSCALABLEFAST "scalable_fast"
263: #define MATPRODUCTALGORITHMHEAP "heap"
264: #define MATPRODUCTALGORITHMBHEAP "btheap"
265: #define MATPRODUCTALGORITHMLLCONDENSED "llcondensed"
266: #define MATPRODUCTALGORITHMROWMERGE "rowmerge"
267: #define MATPRODUCTALGORITHMOUTERPRODUCT "outerproduct"
268: #define MATPRODUCTALGORITHMATB "at*b"
269: #define MATPRODUCTALGORITHMRAP "rap"
270: #define MATPRODUCTALGORITHMNONSCALABLE "nonscalable"
271: #define MATPRODUCTALGORITHMSEQMPI "seqmpi"
272: #define MATPRODUCTALGORITHMBACKEND "backend"
273: #define MATPRODUCTALGORITHMOVERLAPPING "overlapping"
274: #define MATPRODUCTALGORITHMMERGED "merged"
275: #define MATPRODUCTALGORITHMALLATONCE "allatonce"
276: #define MATPRODUCTALGORITHMALLATONCEMERGED "allatonce_merged"
277: #define MATPRODUCTALGORITHMALLGATHERV "allgatherv"
278: #define MATPRODUCTALGORITHMCYCLIC "cyclic"
279: #if defined(PETSC_HAVE_HYPRE)
280: #define MATPRODUCTALGORITHMHYPRE "hypre"
281: #endif
283: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat, Mat, Mat, Mat *);
284: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat, Mat, Mat, Mat);
285: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat, MatProductType);
286: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat, MatProductAlgorithm);
287: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat, PetscReal);
288: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
289: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
290: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
291: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat, Mat, Mat, Mat);
292: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
293: PETSC_EXTERN PetscErrorCode MatProductView(Mat, PetscViewer);
294: PETSC_EXTERN PetscErrorCode MatProductGetType(Mat, MatProductType *);
295: PETSC_EXTERN PetscErrorCode MatProductGetMats(Mat, Mat *, Mat *, Mat *);
297: /* Logging support */
298: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
299: PETSC_EXTERN PetscClassId MAT_CLASSID;
300: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
301: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
302: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
303: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
304: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
305: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
306: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
308: /*E
309: MatReuse - Indicates if matrices obtained from a previous call to `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatConvert()` or several other functions
310: are to be reused to store the new matrix values.
312: Values:
313: + `MAT_INITIAL_MATRIX` - create a new matrix
314: . `MAT_REUSE_MATRIX` - reuse the matrix created with a previous call that used `MAT_INITIAL_MATRIX`
315: . `MAT_INPLACE_MATRIX` - replace the first input matrix with the new matrix (not applicable to all functions)
316: - `MAT_IGNORE_MATRIX` - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
318: Level: beginner
320: .seealso: [](ch_matrices), `Mat`, `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatDestroyMatrices()`, `MatConvert()`
321: E*/
322: typedef enum {
323: MAT_INITIAL_MATRIX,
324: MAT_REUSE_MATRIX,
325: MAT_IGNORE_MATRIX,
326: MAT_INPLACE_MATRIX
327: } MatReuse;
329: /*E
330: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to `MatCreateSubMatrices()`
331: include the matrix values. Currently it is only used by `MatGetSeqNonzeroStructure()`.
333: Level: developer
335: Values:
336: + `MAT_DO_NOT_GET_VALUES` - do not copy the matrix values
337: - `MAT_GET_VALUES` - copy the matrix values
339: Developer Note:
340: Why is not just a boolean used for this information?
342: .seealso: [](ch_matrices), `Mat`, `MatDuplicateOption`, `PetscCopyMode`, `MatGetSeqNonzeroStructure()`
343: E*/
344: typedef enum {
345: MAT_DO_NOT_GET_VALUES,
346: MAT_GET_VALUES
347: } MatCreateSubMatrixOption;
349: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
351: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm, Mat *);
352: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat, PetscInt, PetscInt, PetscInt, PetscInt);
353: PETSC_EXTERN PetscErrorCode MatSetType(Mat, MatType);
354: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat, VecType *);
355: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat, VecType);
356: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
357: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat, PetscObject, const char[]);
358: PETSC_EXTERN PetscErrorCode MatRegister(const char[], PetscErrorCode (*)(Mat));
359: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[], const char[], const char[]);
360: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat, const char[]);
361: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefixFactor(Mat, const char[]);
362: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefixFactor(Mat, const char[]);
363: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat, const char[]);
364: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat, const char *[]);
365: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat, PetscBool);
367: PETSC_EXTERN PetscFunctionList MatList;
368: PETSC_EXTERN PetscFunctionList MatColoringList;
369: PETSC_EXTERN PetscFunctionList MatPartitioningList;
371: /*E
372: MatStructure - Indicates if two matrices have the same nonzero structure
374: Values:
375: + `SAME_NONZERO_PATTERN` - the two matrices have identical nonzero patterns
376: . `DIFFERENT_NONZERO_PATTERN` - the two matrices may have different nonzero patterns
377: . `SUBSET_NONZERO_PATTERN` - the nonzero pattern of the second matrix is a subset of the nonzero pattern of the first matrix
378: - `UNKNOWN_NONZERO_PATTERN` - there is no known relationship between the nonzero patterns. In this case the implementations
379: may try to detect a relationship to optimize the operation
381: Level: beginner
383: .seealso: [](ch_matrices), `Mat`, `MatCopy()`, `MatAXPY()`, `MatAYPX()`
384: E*/
385: typedef enum {
386: DIFFERENT_NONZERO_PATTERN,
387: SUBSET_NONZERO_PATTERN,
388: SAME_NONZERO_PATTERN,
389: UNKNOWN_NONZERO_PATTERN
390: } MatStructure;
391: PETSC_EXTERN const char *const MatStructures[];
393: #if defined PETSC_HAVE_MKL_SPARSE
394: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
395: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
396: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
397: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
398: #endif
400: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
401: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
402: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat, PetscInt, const PetscInt[]);
403: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
405: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
406: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
407: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
408: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
409: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
410: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
411: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArray(Mat, const PetscScalar[]);
412: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], PetscInt[], PetscInt[], PetscScalar[], Mat *);
413: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm, Mat, Mat, const PetscInt[], Mat *);
415: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
416: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
417: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
419: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat, PetscCount, PetscInt[], PetscInt[]);
420: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOOLocal(Mat, PetscCount, PetscInt[], PetscInt[]);
421: PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat, const PetscScalar[], InsertMode);
423: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscInt[], Mat *);
424: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
426: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
427: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
428: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
429: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
430: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscInt[], const PetscInt[]);
432: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, void *, Mat *);
433: PETSC_EXTERN PetscErrorCode MatCreateCentering(MPI_Comm, PetscInt, PetscInt, Mat *);
434: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat, Mat *);
435: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat, Mat *);
436: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat, Mat, Vec, Mat, Mat *);
437: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat, Mat *, Mat *, Vec *, Mat *);
438: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, ISLocalToGlobalMapping, ISLocalToGlobalMapping, Mat *);
439: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
440: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
442: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm, VecScatter, Mat *);
443: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat, VecScatter);
444: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat, VecScatter *);
445: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt *, Mat *);
446: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat, Mat);
447: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
448: typedef enum {
449: MAT_COMPOSITE_MERGE_RIGHT,
450: MAT_COMPOSITE_MERGE_LEFT
451: } MatCompositeMergeType;
452: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat, MatCompositeMergeType);
453: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm, PetscInt, const Mat *, Mat *);
454: typedef enum {
455: MAT_COMPOSITE_ADDITIVE,
456: MAT_COMPOSITE_MULTIPLICATIVE
457: } MatCompositeType;
458: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat, MatCompositeType);
459: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat, MatCompositeType *);
460: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat, MatStructure);
461: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat, MatStructure *);
462: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat, PetscInt *);
463: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat, PetscInt, Mat *);
464: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat, const PetscScalar *);
466: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm, PetscInt, const PetscInt[], MatType, Mat *);
467: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm, PetscInt, const PetscInt[], Mat *);
469: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat, Mat *);
470: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat, Mat *);
471: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat, Mat *);
472: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat, Mat *);
473: PETSC_EXTERN PetscErrorCode MatNormalGetMat(Mat, Mat *);
474: PETSC_EXTERN PetscErrorCode MatNormalHermitianGetMat(Mat, Mat *);
475: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat, IS, IS, Mat *);
476: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat, Mat, IS, IS);
477: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat, IS, IS, Mat *);
478: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar, Mat *);
480: #if defined(PETSC_HAVE_HYPRE)
481: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
482: #endif
484: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat, const char[]);
485: PETSC_EXTERN PetscErrorCode MatPythonGetType(Mat, const char *[]);
487: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
488: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
489: PETSC_EXTERN PetscErrorCode MatDestroy(Mat *);
490: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat, PetscObjectState *);
492: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
493: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
494: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
495: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat, Mat *);
496: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat, PetscScalar *);
497: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat, const PetscScalar **);
498: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat, PetscInt, const PetscInt *, PetscScalar *);
499: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat, Mat);
500: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockEnvelope(Mat, MatReuse, Mat *);
502: PETSC_EXTERN PetscErrorCode MatSetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
503: PETSC_EXTERN PetscErrorCode MatSetValuesIS(Mat, IS, IS, const PetscScalar[], InsertMode);
504: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
505: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat, PetscInt, const PetscScalar[]);
506: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat, PetscInt, const PetscScalar[]);
507: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat, PetscInt, PetscInt, PetscInt[], const PetscScalar[]);
508: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat, PetscRandom);
510: /*S
511: MatStencil - Data structure (C struct) for storing information about rows and
512: columns of a matrix as indexed on an associated grid. These are arguments to `MatSetStencil()` and `MatSetBlockStencil()`
514: Level: beginner
516: Notes:
517: 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).
518: The c represents the the degrees of freedom at each grid point (the dof argument to `DMDASetDOF()`). If dof is 1 then this entry is ignored.
520: For stencil access to vectors see `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`.
522: For staggered grids, see `DMStagStencil`
524: Fortran Note:
525: See `MatSetValuesStencil()` for details.
527: .seealso: [](ch_matrices), `Mat`, `MatSetValuesStencil()`, `MatSetStencil()`, `MatSetValuesBlockedStencil()`, `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`,
528: `DMStagStencil`
529: S*/
530: typedef struct {
531: PetscInt k, j, i, c;
532: } MatStencil;
534: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
535: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
536: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat, PetscInt, const PetscInt[], const PetscInt[], PetscInt);
538: /*E
539: MatAssemblyType - Indicates if the process of setting values into the matrix is complete, and the matrix is ready for use
541: Values:
542: + `MAT_FLUSH_ASSEMBLY` - you will continue to put values into the matrix
543: - `MAT_FINAL_ASSEMBLY` - you wish to use the matrix with the values currently inserted
545: Level: beginner
547: .seealso: [](ch_matrices), `Mat`, `MatSetValues`, `MatAssemblyBegin()`, `MatAssemblyEnd()`
548: E*/
549: typedef enum {
550: MAT_FLUSH_ASSEMBLY = 1,
551: MAT_FINAL_ASSEMBLY = 0
552: } MatAssemblyType;
553: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat, MatAssemblyType);
554: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat, MatAssemblyType);
555: PETSC_EXTERN PetscErrorCode MatAssembled(Mat, PetscBool *);
557: /*E
558: MatOption - Options that may be set for a matrix that indicate properties of the matrix or affect its behavior or storage
560: Level: beginner
562: Note:
563: See `MatSetOption()` for the use of the options
565: Developer Note:
566: Entries that are negative need not be called collectively by all processes.
568: .seealso: [](ch_matrices), `Mat`, `MatSetOption()`
569: E*/
570: typedef enum {
571: MAT_OPTION_MIN = -3,
572: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
573: MAT_ROW_ORIENTED = -1,
574: MAT_SYMMETRIC = 1,
575: MAT_STRUCTURALLY_SYMMETRIC = 2,
576: MAT_FORCE_DIAGONAL_ENTRIES = 3,
577: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
578: MAT_USE_HASH_TABLE = 5,
579: MAT_KEEP_NONZERO_PATTERN = 6,
580: MAT_IGNORE_ZERO_ENTRIES = 7,
581: MAT_USE_INODES = 8,
582: MAT_HERMITIAN = 9,
583: MAT_SYMMETRY_ETERNAL = 10,
584: MAT_NEW_NONZERO_LOCATION_ERR = 11,
585: MAT_IGNORE_LOWER_TRIANGULAR = 12,
586: MAT_ERROR_LOWER_TRIANGULAR = 13,
587: MAT_GETROW_UPPERTRIANGULAR = 14,
588: MAT_SPD = 15,
589: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
590: MAT_NO_OFF_PROC_ENTRIES = 17,
591: MAT_NEW_NONZERO_LOCATIONS = 18,
592: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
593: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
594: MAT_SUBMAT_SINGLEIS = 21,
595: MAT_STRUCTURE_ONLY = 22,
596: MAT_SORTED_FULL = 23,
597: MAT_FORM_EXPLICIT_TRANSPOSE = 24,
598: MAT_STRUCTURAL_SYMMETRY_ETERNAL = 25,
599: MAT_SPD_ETERNAL = 26,
600: MAT_OPTION_MAX = 27
601: } MatOption;
603: PETSC_EXTERN const char *const *MatOptions;
604: PETSC_EXTERN PetscErrorCode MatSetOption(Mat, MatOption, PetscBool);
605: PETSC_EXTERN PetscErrorCode MatGetOption(Mat, MatOption, PetscBool *);
606: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat, Mat);
607: PETSC_EXTERN PetscErrorCode MatGetType(Mat, MatType *);
609: PETSC_EXTERN PetscErrorCode MatGetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
610: PETSC_EXTERN PetscErrorCode MatGetRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
611: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
612: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
613: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
614: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat, Vec, PetscInt);
615: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat, PetscScalar *[]);
616: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat, const PetscScalar *[]);
617: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayWrite(Mat, PetscScalar *[]);
618: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat, PetscScalar *[]);
619: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat, const PetscScalar *[]);
620: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayWrite(Mat, PetscScalar *[]);
621: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat, PetscInt *);
622: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
623: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat, MatType);
624: PETSC_EXTERN PetscErrorCode MatSeqAIJKron(Mat, Mat, MatReuse, Mat *);
625: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[], PetscErrorCode (*)(Mat, MatType, MatReuse, Mat *));
626: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
627: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat, PetscScalar *[]);
628: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat, PetscScalar *[]);
629: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat, PetscScalar *[]);
630: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat, PetscScalar *[]);
631: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat, PetscScalar *[]);
632: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat, PetscScalar *[]);
633: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat, const PetscScalar[]);
634: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat, const PetscScalar[]);
635: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
636: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat, const PetscScalar *[]);
637: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat, const PetscScalar *[]);
638: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat, PetscScalar *[]);
639: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat, PetscScalar *[]);
640: PETSC_EXTERN PetscErrorCode MatDenseGetArrayAndMemType(Mat, PetscScalar *[], PetscMemType *);
641: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayAndMemType(Mat, PetscScalar *[]);
642: PETSC_EXTERN PetscErrorCode MatDenseGetArrayReadAndMemType(Mat, const PetscScalar *[], PetscMemType *);
643: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat, const PetscScalar *[]);
644: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat, PetscScalar *[], PetscMemType *);
645: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat, PetscScalar *[]);
646: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat, PetscInt *);
647: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat, PetscInt);
648: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat, PetscInt *, PetscInt *);
649: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat, PetscInt, PetscInt);
650: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat, Mat, Mat);
651: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat, PetscInt, PetscInt *);
652: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat, PetscInt *, const PetscInt **);
654: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat, PetscInt, PetscScalar *[]);
655: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat, PetscScalar *[]);
656: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat, PetscInt, Vec *);
657: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat, PetscInt, Vec *);
658: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat, PetscInt, Vec *);
659: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat, PetscInt, Vec *);
660: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat, PetscInt, Vec *);
661: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat, PetscInt, Vec *);
662: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
663: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat, Mat *);
665: PETSC_EXTERN PetscErrorCode MatMult(Mat, Vec, Vec);
666: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat, Vec, Vec);
667: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat, Vec, Vec, Vec);
668: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat, Vec, Vec);
669: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat, Vec, Vec);
670: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat, Mat, PetscReal, PetscBool *);
671: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat, Mat, PetscReal, PetscBool *);
672: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat, Vec, Vec, Vec);
673: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat, Vec, Vec, Vec);
674: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat, Mat, Mat);
675: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat, Mat, Mat);
676: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat, Mat, Mat);
677: PETSC_EXTERN PetscErrorCode MatResidual(Mat, Vec, Vec, Vec);
679: /*E
680: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
681: its numerical values copied over or just its nonzero structure.
683: Values:
684: + `MAT_DO_NOT_COPY_VALUES` - Create a matrix using the same nonzero pattern as the original matrix,
685: with zeros for the numerical values
686: . `MAT_COPY_VALUES` - Create a matrix with the same nonzero pattern as the original matrix
687: and with the same numerical values.
688: - `MAT_SHARE_NONZERO_PATTERN` - Create a matrix that shares the nonzero structure with the previous matrix
689: and does not copy it, using zeros for the numerical values. The parent and
690: child matrices will share their index (i and j) arrays, and you cannot
691: insert new nonzero entries into either matrix
693: Level: beginner
695: Note:
696: Many matrix types (including `MATSEQAIJ`) do not support the `MAT_SHARE_NONZERO_PATTERN` optimization; in
697: this case the behavior is as if `MAT_DO_NOT_COPY_VALUES` has been specified.
699: .seealso: [](ch_matrices), `Mat`, `MatDuplicate()`
700: E*/
701: typedef enum {
702: MAT_DO_NOT_COPY_VALUES,
703: MAT_COPY_VALUES,
704: MAT_SHARE_NONZERO_PATTERN
705: } MatDuplicateOption;
707: PETSC_EXTERN PetscErrorCode MatConvert(Mat, MatType, MatReuse, Mat *);
708: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat, MatDuplicateOption, Mat *);
710: PETSC_EXTERN PetscErrorCode MatCopy(Mat, Mat, MatStructure);
711: PETSC_EXTERN PetscErrorCode MatView(Mat, PetscViewer);
712: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat, PetscReal, PetscBool *);
713: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat, PetscBool *);
714: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat, PetscReal, PetscBool *);
715: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat, PetscBool *, PetscBool *);
716: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat, PetscBool *, PetscBool *);
717: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetricKnown(Mat, PetscBool *, PetscBool *);
718: PETSC_EXTERN PetscErrorCode MatIsSPDKnown(Mat, PetscBool *, PetscBool *);
719: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat, PetscBool *, PetscInt *);
720: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
722: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
723: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
724: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
725: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
727: /*S
728: MatInfo - Context of matrix information, used with `MatGetInfo()`
730: Level: intermediate
732: Fortran Note:
733: Information is stored as a double-precision array of dimension `MAT_INFO_SIZE`
735: .seealso: [](ch_matrices), `Mat`, `MatGetInfo()`, `MatInfoType`
736: S*/
737: typedef struct {
738: PetscLogDouble block_size; /* block size */
739: PetscLogDouble nz_allocated, nz_used, nz_unneeded; /* number of nonzeros */
740: PetscLogDouble memory; /* memory allocated */
741: PetscLogDouble assemblies; /* number of matrix assemblies called */
742: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
743: PetscLogDouble fill_ratio_given, fill_ratio_needed; /* fill ratio for LU/ILU */
744: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
745: } MatInfo;
747: /*E
748: MatInfoType - Indicates if you want information about the local part of the matrix,
749: the entire parallel matrix or the maximum over all the local parts.
751: Values:
752: + `MAT_LOCAL` - values for each MPI process part of the matrix
753: . `MAT_GLOBAL_MAX` - maximum of each value over all MPI processes
754: - `MAT_GLOBAL_SUM` - sum of each value over all MPI processes
756: Level: beginner
758: .seealso: [](ch_matrices), `MatGetInfo()`, `MatInfo`
759: E*/
760: typedef enum {
761: MAT_LOCAL = 1,
762: MAT_GLOBAL_MAX = 2,
763: MAT_GLOBAL_SUM = 3
764: } MatInfoType;
765: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat, MatInfoType, MatInfo *);
766: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat, Vec);
767: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat, Vec, PetscInt[]);
768: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat, Vec, PetscInt[]);
769: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat, Vec, PetscInt[]);
770: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat, Vec, PetscInt[]);
771: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat, Vec);
772: PETSC_EXTERN PetscErrorCode MatTranspose(Mat, MatReuse, Mat *);
773: PETSC_EXTERN PetscErrorCode MatTransposeSymbolic(Mat, Mat *);
774: PETSC_EXTERN PetscErrorCode MatTransposeSetPrecursor(Mat, Mat);
775: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat, MatReuse, Mat *);
776: PETSC_EXTERN PetscErrorCode MatPermute(Mat, IS, IS, Mat *);
777: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat, Vec, Vec);
778: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat, Vec, InsertMode);
780: PETSC_EXTERN PetscErrorCode MatEqual(Mat, Mat, PetscBool *);
781: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat, Mat, PetscInt, PetscBool *);
782: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat, Mat, PetscInt, PetscBool *);
783: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
784: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
785: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
786: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
787: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
788: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
789: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
790: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
791: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
792: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat, PetscInt, PetscBool *);
794: PETSC_EXTERN PetscErrorCode MatNorm(Mat, NormType, PetscReal *);
795: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat, NormType, PetscReal *);
796: PETSC_EXTERN PetscErrorCode MatGetColumnSums(Mat, PetscScalar *);
797: PETSC_EXTERN PetscErrorCode MatGetColumnSumsRealPart(Mat, PetscReal *);
798: PETSC_EXTERN PetscErrorCode MatGetColumnSumsImaginaryPart(Mat, PetscReal *);
799: PETSC_EXTERN PetscErrorCode MatGetColumnMeans(Mat, PetscScalar *);
800: PETSC_EXTERN PetscErrorCode MatGetColumnMeansRealPart(Mat, PetscReal *);
801: PETSC_EXTERN PetscErrorCode MatGetColumnMeansImaginaryPart(Mat, PetscReal *);
802: PETSC_EXTERN PetscErrorCode MatGetColumnReductions(Mat, PetscInt, PetscReal *);
803: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
804: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
805: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
806: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat, IS, PetscScalar, Vec, Vec);
807: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
808: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
809: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
810: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat, IS, PetscScalar, Vec, Vec);
812: PETSC_EXTERN PetscErrorCode MatGetSize(Mat, PetscInt *, PetscInt *);
813: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat, PetscInt *, PetscInt *);
814: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat, PetscInt *, PetscInt *);
815: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat, const PetscInt **);
816: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat, PetscInt *, PetscInt *);
817: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat, const PetscInt **);
818: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat, IS *, IS *);
820: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
821: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrices() (since version 3.8)") static inline PetscErrorCode MatGetSubMatrices(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
822: {
823: return MatCreateSubMatrices(mat, n, irow, icol, scall, submat);
824: }
825: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
826: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatricesMPI() (since version 3.8)") static inline PetscErrorCode MatGetSubMatricesMPI(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
827: {
828: return MatCreateSubMatricesMPI(mat, n, irow, icol, scall, submat);
829: }
830: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt, Mat *[]);
831: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt, Mat *[]);
832: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat, IS, IS, MatReuse, Mat *);
833: PETSC_DEPRECATED_FUNCTION("Use MatCreateSubMatrix() (since version 3.8)") static inline PetscErrorCode MatGetSubMatrix(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat)
834: {
835: return MatCreateSubMatrix(mat, isrow, iscol, cll, newmat);
836: }
837: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat, IS, IS, Mat *);
838: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat, IS, IS, Mat *);
839: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat, Mat *);
840: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat *);
842: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm, Mat, PetscInt, PetscInt, MatReuse, Mat *);
843: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm, Mat, PetscInt, PetscInt, Mat *);
844: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat, Mat);
845: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat, MatReuse, Mat *);
846: PETSC_EXTERN PetscErrorCode MatAIJGetLocalMat(Mat, Mat *);
847: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
848: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatMerge(Mat, MatReuse, IS *, Mat *);
849: PETSC_EXTERN PetscErrorCode MatMPIAIJGetNumberNonzeros(Mat, PetscCount *);
850: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat, Mat, MatReuse, IS *, IS *, Mat *);
851: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *, const PetscInt *[]);
853: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat, PetscInt, IS[], PetscInt);
854: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat, PetscInt n, IS is[], PetscInt ov);
855: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat, PetscBool);
857: PETSC_EXTERN PetscErrorCode MatMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
859: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
860: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
862: PETSC_EXTERN PetscErrorCode MatPtAP(Mat, Mat, MatReuse, PetscReal, Mat *);
863: PETSC_EXTERN PetscErrorCode MatRARt(Mat, Mat, MatReuse, PetscReal, Mat *);
865: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
866: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat, Mat, MatReuse, PetscReal, Mat *);
868: PETSC_EXTERN PetscErrorCode MatAXPY(Mat, PetscScalar, Mat, MatStructure);
869: PETSC_EXTERN PetscErrorCode MatAYPX(Mat, PetscScalar, Mat, MatStructure);
871: PETSC_EXTERN PetscErrorCode MatScale(Mat, PetscScalar);
872: PETSC_EXTERN PetscErrorCode MatShift(Mat, PetscScalar);
874: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping, ISLocalToGlobalMapping);
875: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
876: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat, PetscLayout *, PetscLayout *);
877: PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat, PetscLayout, PetscLayout);
878: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
879: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
880: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
881: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
882: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
883: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
884: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
886: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat, PetscInt, PetscInt);
887: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat, PetscInt *, PetscInt *, PetscInt *, PetscInt *);
889: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat, Vec, Vec);
890: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat, Vec, Vec, Vec);
891: PETSC_EXTERN PetscErrorCode MatRestrict(Mat, Vec, Vec);
892: PETSC_EXTERN PetscErrorCode MatMatInterpolate(Mat, Mat, Mat *);
893: PETSC_EXTERN PetscErrorCode MatMatInterpolateAdd(Mat, Mat, Mat, Mat *);
894: PETSC_EXTERN PetscErrorCode MatMatRestrict(Mat, Mat, Mat *);
895: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat, Vec *, Vec *);
896: PETSC_DEPRECATED_FUNCTION("Use MatCreateVecs() (since version 3.6)") static inline PetscErrorCode MatGetVecs(Mat mat, Vec *x, Vec *y)
897: {
898: return MatCreateVecs(mat, x, y);
899: }
900: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat, PetscInt, MPI_Comm, MatReuse, Mat *);
901: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat, MPI_Comm, MatReuse, Mat *);
902: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat, IS *);
903: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat, IS *);
904: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
906: /*MC
907: MatSetValue - Set a single entry into a matrix.
909: This value may be cached, so `MatAssemblyBegin()` and `MatAssemblyEnd()`
910: MUST be called after all calls to `MatSetValue()` have been completed.
912: Synopsis:
913: #include <petscmat.h>
914: PetscErrorCode MatSetValue(Mat m,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode)
916: Not Collective
918: Input Parameters:
919: + m - the matrix
920: . i - the row location of the entry
921: . j - the column location of the entry
922: . va - the value to insert
923: - mode - either `INSERT_VALUES` or `ADD_VALUES`
925: Level: beginner
927: Note:
928: For efficiency one should use `MatSetValues()` and set several values simultaneously.
930: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd`, `InsertMode`, `MatGetValue()`, `MatSetValues()`,
931: `MatSetValueLocal()`, `MatSetValuesLocal()`
932: M*/
933: static inline PetscErrorCode MatSetValue(Mat m, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
934: {
935: return MatSetValues(m, 1, &i, 1, &j, &va, mode);
936: }
938: /*@C
939: MatGetValue - Gets a single value from a matrix
941: Not Collective; can only return a value owned by the given process
943: Input Parameters:
944: + mat - the matrix
945: . row - the row location of the entry
946: - col - the column location of the entry
948: Output Parameter:
949: . va - the value
951: Level: advanced
953: Notes:
954: The matrix must have been assembled with `MatAssemblyBegin()` and `MatAssemblyEnd` before this call
956: For efficiency one should use `MatGetValues()` and get several values simultaneously.
958: See notes for `MatGetValues()`.
960: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd`, `MatSetValue()`, `MatGetValueLocal()`, `MatGetValues()`
961: @*/
962: static inline PetscErrorCode MatGetValue(Mat mat, PetscInt row, PetscInt col, PetscScalar *va)
963: {
964: return MatGetValues(mat, 1, &row, 1, &col, va);
965: }
967: /*MC
968: MatSetValueLocal - Inserts or adds a single value into a matrix, using a local numbering of the nodes.
970: Not Collective
972: Input Parameters:
973: + m - the matrix
974: . i - the row location of the entry
975: . j - the column location of the entry
976: . va - the value to insert
977: - mode - either `INSERT_VALUES` or `ADD_VALUES`
979: Level: intermediate
981: Notes:
982: For efficiency one should use `MatSetValuesLocal()` and set several values simultaneously.
984: See notes for `MatSetValuesLocal()` for additional information on when and how this function can be used.
986: .seealso: [](ch_matrices), `MatSetValue()`, `MatSetValuesLocal()`
987: M*/
988: static inline PetscErrorCode MatSetValueLocal(Mat m, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
989: {
990: return MatSetValuesLocal(m, 1, &i, 1, &j, &va, mode);
991: }
993: /*MC
994: MatPreallocateBegin - Begins the block of code that will count the number of nonzeros per
995: row in a matrix providing the data that one can use to correctly preallocate the matrix.
997: Synopsis:
998: #include <petscmat.h>
999: PetscErrorCode MatPreallocateBegin(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
1001: Collective
1003: Input Parameters:
1004: + comm - the communicator that will share the eventually allocated matrix
1005: . nrows - the number of LOCAL rows in the matrix
1006: - ncols - the number of LOCAL columns in the matrix
1008: Output Parameters:
1009: + dnz - the array that will be passed to the matrix preallocation routines
1010: - onz - the other array passed to the matrix preallocation routines
1012: Level: deprecated (since v3.19)
1014: Notes:
1015: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1016: the use of this routine
1018: This is a macro that handles its own error checking, it does not return an error code.
1020: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1022: Developer Note:
1023: This is a MACRO not a function because it has a leading { that is closed by `PetscPreallocateFinalize()`.
1025: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1026: `MatPreallocateSymmetricSetLocalBlock()`
1027: M*/
1028: #define MatPreallocateBegin(comm, nrows, ncols, dnz, onz) \
1029: do { \
1030: PetscInt __nrows = (nrows), __ncols = (ncols), __rstart, __end = 0; \
1031: PetscInt PETSC_UNUSED __start; \
1032: PetscCall(PetscCalloc2(__nrows, &(dnz), __nrows, &(onz))); \
1033: PetscCallMPI(MPI_Scan(&__ncols, &__end, 1, MPIU_INT, MPI_SUM, comm)); \
1034: __start = __end - __ncols; \
1035: (void)__start; \
1036: PetscCallMPI(MPI_Scan(&__nrows, &__rstart, 1, MPIU_INT, MPI_SUM, comm)); \
1037: __rstart -= __nrows
1039: #define MatPreallocateInitialize(...) PETSC_DEPRECATED_MACRO("GCC warning \"Use MatPreallocateBegin() (since version 3.18)\"") MatPreallocateBegin(__VA_ARGS__)
1041: /*MC
1042: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1043: inserted using a local number of the rows and columns
1045: Synopsis:
1046: #include <petscmat.h>
1047: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1049: Not Collective
1051: Input Parameters:
1052: + map - the row mapping from local numbering to global numbering
1053: . nrows - the number of rows indicated
1054: . rows - the indices of the rows
1055: . cmap - the column mapping from local to global numbering
1056: . ncols - the number of columns in the matrix
1057: . cols - the columns indicated
1058: . dnz - the array that will be passed to the matrix preallocation routines
1059: - onz - the other array passed to the matrix preallocation routines
1061: Level: deprecated (since v3.19)
1063: Notes:
1064: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1065: the use of this routine
1067: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1069: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1070: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocalRemoveDups()`
1071: M*/
1072: #define MatPreallocateSetLocal(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1073: 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));)
1075: /*MC
1076: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1077: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
1079: Synopsis:
1080: #include <petscmat.h>
1081: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1083: Not Collective
1085: Input Parameters:
1086: + map - the row mapping from local numbering to global numbering
1087: . nrows - the number of rows indicated
1088: . rows - the indices of the rows (these values are mapped to the global values)
1089: . cmap - the column mapping from local to global numbering
1090: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
1091: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
1092: . dnz - the array that will be passed to the matrix preallocation routines
1093: - onz - the other array passed to the matrix preallocation routines
1095: Level: deprecated (since v3.19)
1097: Notes:
1098: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1099: the use of this routine
1101: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1103: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1104: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1105: M*/
1106: #define MatPreallocateSetLocalRemoveDups(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1107: 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));)
1109: /*MC
1110: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1111: inserted using a local number of the rows and columns
1113: Synopsis:
1114: #include <petscmat.h>
1115: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1117: Not Collective
1119: Input Parameters:
1120: + map - the row mapping from local numbering to global numbering
1121: . nrows - the number of rows indicated
1122: . rows - the indices of the rows
1123: . cmap - the column mapping from local to global numbering
1124: . ncols - the number of columns in the matrix
1125: . cols - the columns indicated
1126: . dnz - the array that will be passed to the matrix preallocation routines
1127: - onz - the other array passed to the matrix preallocation routines
1129: Level: deprecated (since v3.19)
1131: Notes:
1132: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1133: the use of this routine
1135: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1137: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1138: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`
1139: M*/
1140: #define MatPreallocateSetLocalBlock(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1141: 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));)
1143: /*MC
1144: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1145: inserted using a local number of the rows and columns
1147: Synopsis:
1148: #include <petscmat.h>
1149: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1151: Not Collective
1153: Input Parameters:
1154: + map - the mapping between local numbering and global numbering
1155: . nrows - the number of rows indicated
1156: . rows - the indices of the rows
1157: . ncols - the number of columns in the matrix
1158: . cols - the columns indicated
1159: . dnz - the array that will be passed to the matrix preallocation routines
1160: - onz - the other array passed to the matrix preallocation routines
1162: Level: deprecated (since v3.19)
1164: Notes:
1165: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1166: the use of this routine
1168: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1170: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`
1171: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1172: M*/
1173: #define MatPreallocateSymmetricSetLocalBlock(map, nrows, rows, ncols, cols, dnz, onz) \
1174: 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));)
1176: /*MC
1177: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1178: inserted using a local number of the rows and columns
1180: Synopsis:
1181: #include <petscmat.h>
1182: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1184: Not Collective
1186: Input Parameters:
1187: + row - the row
1188: . ncols - the number of columns in the matrix
1189: - cols - the columns indicated
1191: Output Parameters:
1192: + dnz - the array that will be passed to the matrix preallocation routines
1193: - onz - the other array passed to the matrix preallocation routines
1195: Level: deprecated (since v3.19)
1197: Notes:
1198: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1199: the use of this routine
1201: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1203: This is a MACRO not a function because it uses variables declared in MatPreallocateBegin().
1205: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1206: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1207: M*/
1208: #define MatPreallocateSet(row, nc, cols, dnz, onz) \
1209: 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) { \
1210: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
1211: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1212: })
1214: /*MC
1215: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1216: inserted using a local number of the rows and columns
1218: Synopsis:
1219: #include <petscmat.h>
1220: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1222: Not Collective
1224: Input Parameters:
1225: + nrows - the number of rows indicated
1226: . rows - the indices of the rows
1227: . ncols - the number of columns in the matrix
1228: . cols - the columns indicated
1229: . dnz - the array that will be passed to the matrix preallocation routines
1230: - onz - the other array passed to the matrix preallocation routines
1232: Level: deprecated (since v3.19)
1234: Notes:
1235: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1236: the use of this routine
1238: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1240: This is a MACRO not a function because it uses variables declared in MatPreallocateBegin().
1242: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateBegin()`,
1243: `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1244: M*/
1245: #define MatPreallocateSymmetricSetBlock(row, nc, cols, dnz, onz) \
1246: PetscMacroReturnStandard(for (PetscInt __i = 0; __i < nc; __i++) { \
1247: if (cols[__i] >= __end) onz[row - __rstart]++; \
1248: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1249: })
1251: /*MC
1252: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
1254: Synopsis:
1255: #include <petscmat.h>
1256: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
1258: Not Collective
1260: Input Parameters:
1261: + A - matrix
1262: . row - row where values exist (must be local to this process)
1263: . ncols - number of columns
1264: . cols - columns with nonzeros
1265: . dnz - the array that will be passed to the matrix preallocation routines
1266: - onz - the other array passed to the matrix preallocation routines
1268: Level: deprecated (since v3.19)
1270: Notes:
1271: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1272: the use of this routine
1274: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1276: This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
1278: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1279: `MatPreallocateSymmetricSetLocalBlock()`
1280: M*/
1281: #define MatPreallocateLocation(A, row, ncols, cols, dnz, onz) (A ? MatSetValues(A, 1, &row, ncols, cols, NULL, INSERT_VALUES) : MatPreallocateSet(row, ncols, cols, dnz, onz))
1283: /*MC
1284: MatPreallocateEnd - Ends the block of code that will count the number of nonzeros per
1285: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1287: Synopsis:
1288: #include <petscmat.h>
1289: PetscErrorCode MatPreallocateEnd(PetscInt *dnz, PetscInt *onz)
1291: Collective
1293: Input Parameters:
1294: + dnz - the array that was be passed to the matrix preallocation routines
1295: - onz - the other array passed to the matrix preallocation routines
1297: Level: deprecated (since v3.19)
1299: Notes:
1300: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1301: the use of this routine
1303: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1305: Developer Note:
1306: This is a MACRO not a function because it closes the { started in MatPreallocateBegin().
1308: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1309: `MatPreallocateSymmetricSetLocalBlock()`
1310: M*/
1311: #define MatPreallocateEnd(dnz, onz) \
1312: PetscCall(PetscFree2(dnz, onz)); \
1313: } \
1314: while (0)
1316: #define MatPreallocateFinalize(...) PETSC_DEPRECATED_MACRO("GCC warning \"Use MatPreallocateEnd() (since version 3.18)\"") MatPreallocateEnd(__VA_ARGS__)
1318: /* Routines unique to particular data structures */
1319: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat, void *);
1321: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat, IS *, IS *);
1322: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat, PetscInt *, PetscInt *[], PetscInt *);
1324: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat, PetscInt[]);
1325: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat, PetscInt[]);
1326: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1327: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1328: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1329: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *, PetscInt, PetscBool);
1331: #define MAT_SKIP_ALLOCATION -4
1333: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1334: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1335: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat, PetscInt, const PetscInt[]);
1336: PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat, PetscInt);
1338: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1339: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1340: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1341: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1342: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1343: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1344: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1345: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat, PetscInt[], PetscInt[], PetscInt[]);
1346: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat, Mat *);
1347: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeqRankZero(Mat, Mat *);
1348: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat, PetscScalar[]);
1349: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat, PetscScalar[]);
1350: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1351: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1352: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat, Mat *);
1354: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat, PetscInt *);
1355: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat, PetscInt);
1356: PETSC_DEPRECATED_FUNCTION("Use MatDenseSetLDA() (since version 3.14)") static inline PetscErrorCode MatSeqDenseSetLDA(Mat A, PetscInt lda)
1357: {
1358: return MatDenseSetLDA(A, lda);
1359: }
1360: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat, Mat *);
1362: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1364: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1365: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1367: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat, IS *);
1368: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat, IS *);
1369: /*
1370: These routines are not usually accessed directly, rather solving is
1371: done through the KSP and PC interfaces.
1372: */
1374: /*J
1375: MatOrderingType - String with the name of a PETSc matrix ordering. These orderings are most commonly used
1376: to reduce fill in sparse factorizations.
1378: Level: beginner
1380: Notes:
1381: If `MATORDERINGEXTERNAL` is used then PETSc does not compute an ordering and instead the external factorization solver package called utilizes one
1382: of its own.
1384: There is no `MatOrdering` object, the ordering is obtained directly from the matrix with `MatGetOrdering()`
1386: Developer Note:
1387: This API should be converted to an API similar to those for `MatColoring` and `MatPartitioning`
1389: .seealso: [](ch_matrices), [](sec_graph), `MatGetFactor()`, `MatGetOrdering()`, `MatColoringType`, `MatPartitioningType`, `MatCoarsenType`, `MatCoarsenType`,
1390: `PCFactorSetOrderingType()`
1391: J*/
1392: typedef const char *MatOrderingType;
1393: #define MATORDERINGNATURAL "natural"
1394: #define MATORDERINGND "nd"
1395: #define MATORDERING1WD "1wd"
1396: #define MATORDERINGRCM "rcm"
1397: #define MATORDERINGQMD "qmd"
1398: #define MATORDERINGROWLENGTH "rowlength"
1399: #define MATORDERINGWBM "wbm"
1400: #define MATORDERINGSPECTRAL "spectral"
1401: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1402: #define MATORDERINGMETISND "metisnd" /* only works if METIS is installed with PETSc */
1403: #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 */
1404: #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */
1406: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat, MatOrderingType, IS *, IS *);
1407: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList *);
1408: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[], PetscErrorCode (*)(Mat, MatOrderingType, IS *, IS *));
1409: PETSC_EXTERN PetscFunctionList MatOrderingList;
1411: #include "petscmatcoarsen.h"
1413: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat, PetscReal, IS, IS);
1414: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat, PetscReal, PetscBool, Mat *);
1416: PETSC_EXTERN PetscErrorCode MatFactorGetPreferredOrdering(Mat, MatFactorType, MatOrderingType *);
1418: /*S
1419: MatFactorShiftType - Type of numeric shift used for factorizations
1421: Values:
1422: + `MAT_SHIFT_NONE` - do not shift the matrix diagonal entries
1423: . `MAT_SHIFT_NONZERO` - shift the entries to be non-zero
1424: . `MAT_SHIFT_POSITIVE_DEFINITE` - shift the entries to force the factorization to be positive definite
1425: - `MAT_SHIFT_INBLOCKS` - only shift the factors inside the small dense diagonal blocks of the matrix, for example with `MATBAIJ`
1427: Level: intermediate
1429: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `PCFactorSetShiftType()`
1430: S*/
1431: typedef enum {
1432: MAT_SHIFT_NONE,
1433: MAT_SHIFT_NONZERO,
1434: MAT_SHIFT_POSITIVE_DEFINITE,
1435: MAT_SHIFT_INBLOCKS
1436: } MatFactorShiftType;
1437: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1438: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1440: /*S
1441: MatFactorError - indicates what type of error was generated in a matrix factorization
1443: Values:
1444: + `MAT_FACTOR_NOERROR` - there was no error during the factorization
1445: . `MAT_FACTOR_STRUCT_ZEROPIVOT` - there was a missing entry in a diagonal location of the matrix
1446: . `MAT_FACTOR_NUMERIC_ZEROPIVOT` - there was a (near) zero pivot during the factorization
1447: . `MAT_FACTOR_OUTMEMORY` - the factorization has run out of memory
1448: - `MAT_FACTOR_OTHER` - some other error has occurred.
1450: Level: intermediate
1452: Note:
1453: When a factorization is done in a preconditioner `PC` the error may be propagated up to a `PCFailedReason` or a `KSPConvergedReason`
1455: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `MatFactorGetError()`, `MatFactorGetErrorZeroPivot()`, `MatFactorClearError()`,
1456: `PCFailedReason`, `PCGetFailedReason()`, `KSPConvergedReason`
1457: S*/
1458: typedef enum {
1459: MAT_FACTOR_NOERROR,
1460: MAT_FACTOR_STRUCT_ZEROPIVOT,
1461: MAT_FACTOR_NUMERIC_ZEROPIVOT,
1462: MAT_FACTOR_OUTMEMORY,
1463: MAT_FACTOR_OTHER
1464: } MatFactorError;
1466: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat, MatFactorError *);
1467: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1468: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat, PetscReal *, PetscInt *);
1470: /*S
1471: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1473: Level: developer
1475: Note:
1476: You can use `MatFactorInfoInitialize()` to set default values.
1478: Fortran Note:
1479: The data is available in a double precision arrays of size `MAT_FACTORINFO_SIZE`
1481: .seealso: [](ch_matrices), `Mat`, `MatInfo`, `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatILUFactorSymbolic()`, `MatCholeskyFactorSymbolic()`,
1482: `MatICCFactorSymbolic()`, `MatICCFactor()`, `MatFactorInfoInitialize()`
1483: S*/
1484: typedef struct {
1485: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1486: PetscReal usedt;
1487: PetscReal dt; /* drop tolerance */
1488: PetscReal dtcol; /* tolerance for pivoting */
1489: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1490: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1491: PetscReal levels; /* ICC/ILU(levels) */
1492: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1493: factorization may be faster if do not pivot */
1494: PetscReal zeropivot; /* pivot is called zero if less than this */
1495: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1496: PetscReal shiftamount; /* how large the shift is */
1497: } MatFactorInfo;
1499: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo *);
1500: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat, IS, const MatFactorInfo *);
1501: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1502: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat, Mat, const MatFactorInfo *);
1503: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat, IS, IS, const MatFactorInfo *);
1504: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat, IS, IS, const MatFactorInfo *);
1505: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1506: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1507: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1508: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat, IS, const MatFactorInfo *);
1509: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat, Mat, const MatFactorInfo *);
1510: PETSC_EXTERN PetscErrorCode MatQRFactor(Mat, IS, const MatFactorInfo *);
1511: PETSC_EXTERN PetscErrorCode MatQRFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1512: PETSC_EXTERN PetscErrorCode MatQRFactorNumeric(Mat, Mat, const MatFactorInfo *);
1513: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat, PetscInt *, PetscInt *, PetscInt *);
1514: PETSC_EXTERN PetscErrorCode MatSolve(Mat, Vec, Vec);
1515: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat, Vec, Vec);
1516: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat, Vec, Vec);
1517: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat, Vec, Vec, Vec);
1518: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat, Vec, Vec);
1519: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat, Vec, Vec, Vec);
1520: PETSC_EXTERN PetscErrorCode MatSolves(Mat, Vecs, Vecs);
1521: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1523: typedef enum {
1524: MAT_FACTOR_SCHUR_UNFACTORED,
1525: MAT_FACTOR_SCHUR_FACTORED,
1526: MAT_FACTOR_SCHUR_INVERTED
1527: } MatFactorSchurStatus;
1528: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat, IS);
1529: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1530: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat, Mat *, MatFactorSchurStatus);
1531: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1532: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1533: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat, Vec, Vec);
1534: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat, Vec, Vec);
1535: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1537: PETSC_EXTERN PetscErrorCode MatSeqDenseInvert(Mat);
1538: /*E
1539: MatSORType - What type of (S)SOR to perform
1541: Values:
1542: + `SOR_FORWARD_SWEEP` - do a sweep from the first row of the matrix to the last
1543: . `SOR_BACKWARD_SWEEP` - do a sweep from the last row to the first
1544: . `SOR_SYMMETRIC_SWEEP` - do a sweep from the first row to the last and then back to the first
1545: . `SOR_LOCAL_FORWARD_SWEEP` - each MPI rank does its own forward sweep with no communication
1546: . `SOR_LOCAL_BACKWARD_SWEEP` - each MPI rank does its own backward sweep with no communication
1547: . `SOR_LOCAL_SYMMETRIC_SWEEP` - each MPI rank does its own symmetric sweep with no communication
1548: . `SOR_ZERO_INITIAL_GUESS` - indicates the initial solution is zero so the sweep can avoid unneeded computation
1549: . `SOR_EISENSTAT` - apply the Eisentat application of SOR, see `PCEISENSTAT`
1550: . `SOR_APPLY_UPPER` - multiply by the upper triangular portion of the matrix
1551: - `SOR_APPLY_LOWER` - multiply by the lower triangular portion of the matrix
1553: Level: beginner
1555: Note:
1556: These may be bitwise ORd together
1558: Developer Note:
1559: Since `MatSORType` may be bitwise ORd together, so do not change the numerical values below
1561: .seealso: [](ch_matrices), `MatSOR()`
1562: E*/
1563: typedef enum {
1564: SOR_FORWARD_SWEEP = 1,
1565: SOR_BACKWARD_SWEEP = 2,
1566: SOR_SYMMETRIC_SWEEP = 3,
1567: SOR_LOCAL_FORWARD_SWEEP = 4,
1568: SOR_LOCAL_BACKWARD_SWEEP = 8,
1569: SOR_LOCAL_SYMMETRIC_SWEEP = 12,
1570: SOR_ZERO_INITIAL_GUESS = 16,
1571: SOR_EISENSTAT = 32,
1572: SOR_APPLY_UPPER = 64,
1573: SOR_APPLY_LOWER = 128
1574: } MatSORType;
1575: PETSC_EXTERN PetscErrorCode MatSOR(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
1577: /*S
1578: MatColoring - Object for managing the coloring of matrices.
1580: Level: beginner
1582: Notes:
1583: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the
1584: matrix comes from via `DMCreateColoring()`. In general using the mesh produces a more optimal coloring (fewer colors).
1586: Once a coloring is available `MatFDColoringCreate()` creates an object that can be used to efficiently compute Jacobians using that coloring. This
1587: same object can also be used to efficiently convert data created by Automatic Differentiation tools to PETSc sparse matrices.
1589: .seealso: [](ch_matrices), [](sec_graph), `MatFDColoringCreate()`, `MatColoringWeightType`, `ISColoring`, `MatFDColoring`, `DMCreateColoring()`, `MatColoringCreate()`,
1590: `MatPartitioning`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`, `MatColoringSetWeightType()`,
1591: `MatColoringSetWeights()`, `MatCoarsenType`, `MatCoarsen`
1592: S*/
1593: typedef struct _p_MatColoring *MatColoring;
1595: /*J
1596: MatColoringType - String with the name of a PETSc matrix coloring
1598: Level: beginner
1600: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatFDColoringCreate()`, `MatColoringSetType()`, `MatColoring`
1601: J*/
1602: typedef const char *MatColoringType;
1603: #define MATCOLORINGJP "jp"
1604: #define MATCOLORINGPOWER "power"
1605: #define MATCOLORINGNATURAL "natural"
1606: #define MATCOLORINGSL "sl"
1607: #define MATCOLORINGLF "lf"
1608: #define MATCOLORINGID "id"
1609: #define MATCOLORINGGREEDY "greedy"
1611: /*E
1612: MatColoringWeightType - Type of weight scheme used for the coloring algorithm
1614: Values:
1615: + `MAT_COLORING_RANDOM` - Random weights
1616: . `MAT_COLORING_LEXICAL` - Lexical weighting based upon global numbering.
1617: - `MAT_COLORING_LF` - Last-first weighting.
1619: Level: intermediate
1621: .seealso: [](ch_matrices), `MatColoring`, `MatColoringCreate()`, `MatColoringSetWeightType()`, `MatColoringSetWeights()`
1622: E*/
1623: typedef enum {
1624: MAT_COLORING_WEIGHT_RANDOM,
1625: MAT_COLORING_WEIGHT_LEXICAL,
1626: MAT_COLORING_WEIGHT_LF,
1627: MAT_COLORING_WEIGHT_SL
1628: } MatColoringWeightType;
1630: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat, MatColoring *);
1631: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat, PetscInt, PetscInt *);
1632: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring *);
1633: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring, PetscViewer);
1634: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring, MatColoringType);
1635: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1636: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring, PetscInt);
1637: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring, PetscInt *);
1638: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring, PetscInt);
1639: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring, PetscInt *);
1640: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring, ISColoring *);
1641: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[], PetscErrorCode (*)(MatColoring));
1642: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat, PetscInt, PetscInt, ISColoringValue[], ISColoring *);
1643: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring, MatColoringWeightType);
1644: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring, PetscReal *, PetscInt *);
1645: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring, PetscReal **, PetscInt **lperm);
1646: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring, ISColoring);
1647: PETSC_DEPRECATED_FUNCTION("Use MatColoringTest() (since version 3.10)") static inline PetscErrorCode MatColoringTestValid(MatColoring matcoloring, ISColoring iscoloring)
1648: {
1649: return MatColoringTest(matcoloring, iscoloring);
1650: }
1651: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat, ISColoring);
1653: /*S
1654: MatFDColoring - Object for computing a sparse Jacobian via finite differences with coloring
1656: Level: beginner
1658: Notes:
1659: This object is creating utilizing a coloring provided by the `MatColoring` object or `DMCreateColoring()`
1661: The `SNES` option `-snes_fd_coloring` will cause the Jacobian needed by `SNES` to be computed via a use of this object
1663: .seealso: [](ch_matrices), `Mat`, `MatFDColoringCreate()`, `MatFDColoringSetFunction()`, `MatColoring`, `DMCreateColoring()`
1664: S*/
1665: typedef struct _p_MatFDColoring *MatFDColoring;
1667: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat, ISColoring, MatFDColoring *);
1668: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring *);
1669: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring, PetscViewer);
1670: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring, PetscErrorCode (*)(void), void *);
1671: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring, PetscErrorCode (**)(void), void **);
1672: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring, PetscReal, PetscReal);
1673: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1674: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat, MatFDColoring, Vec, void *);
1675: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring, Vec);
1676: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring, PetscInt *, const PetscInt *[]);
1677: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat, ISColoring, MatFDColoring);
1678: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring, PetscInt, PetscInt);
1679: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat, MatFDColoring, const PetscScalar *);
1681: /*S
1682: MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1684: Level: developer
1686: .seealso: [](ch_matrices), `Mat`, `MatProductType`, `MatTransposeColoringCreate()`
1687: S*/
1688: typedef struct _p_MatTransposeColoring *MatTransposeColoring;
1690: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat, ISColoring, MatTransposeColoring *);
1691: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring, Mat, Mat);
1692: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring, Mat, Mat);
1693: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring *);
1695: /*S
1696: MatPartitioning - Object for managing the partitioning of a matrix or graph
1698: Level: beginner
1700: Note:
1701: There is also a `PetscPartitioner` object that provides the same functionality. It can utilize the `MatPartitioning` operations
1702: via `PetscPartitionerSetType`(p,`PETSCPARTITIONERMATPARTITIONING`)
1704: Developers Note:
1705: It is an extra maintenance and documentation cost to have two objects with the same functionality. `PetscPartitioner` should be removed
1707: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioningType`, `MatColoring`, `MatGetOrdering()`, `MatOrderingType`,
1708: `MatCoarsenType`, `MatCoarsenType`
1709: S*/
1710: typedef struct _p_MatPartitioning *MatPartitioning;
1712: /*J
1713: MatPartitioningType - String with the name of a PETSc matrix partitioning
1715: Level: beginner
1716: dm
1717: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioning`, `MatPartitioningSetType()`, `MatColoringType`, `MatOrderingType`,
1718: `MatCoarsenType`, `MatCoarsenType`
1719: J*/
1720: typedef const char *MatPartitioningType;
1721: #define MATPARTITIONINGCURRENT "current"
1722: #define MATPARTITIONINGAVERAGE "average"
1723: #define MATPARTITIONINGSQUARE "square"
1724: #define MATPARTITIONINGPARMETIS "parmetis"
1725: #define MATPARTITIONINGCHACO "chaco"
1726: #define MATPARTITIONINGPARTY "party"
1727: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1728: #define MATPARTITIONINGHIERARCH "hierarch"
1730: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm, MatPartitioning *);
1731: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning, MatPartitioningType);
1732: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning, PetscInt);
1733: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning, Mat);
1734: PETSC_EXTERN PetscErrorCode MatPartitioningSetNumberVertexWeights(MatPartitioning, PetscInt);
1735: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning, const PetscInt[]);
1736: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning, const PetscReal[]);
1737: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning, PetscBool);
1738: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning, PetscBool *);
1739: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning, IS *);
1740: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning, IS *);
1741: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning, IS);
1742: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning, IS *);
1743: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning *);
1744: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[], PetscErrorCode (*)(MatPartitioning));
1745: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning, PetscViewer);
1746: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning, PetscObject, const char[]);
1747: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1748: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning, MatPartitioningType *);
1750: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1751: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1752: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1754: typedef enum {
1755: MP_CHACO_MULTILEVEL = 1,
1756: MP_CHACO_SPECTRAL = 2,
1757: MP_CHACO_LINEAR = 4,
1758: MP_CHACO_RANDOM = 5,
1759: MP_CHACO_SCATTERED = 6
1760: } MPChacoGlobalType;
1761: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1762: typedef enum {
1763: MP_CHACO_KERNIGHAN = 1,
1764: MP_CHACO_NONE = 2
1765: } MPChacoLocalType;
1766: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1767: typedef enum {
1768: MP_CHACO_LANCZOS = 0,
1769: MP_CHACO_RQI = 1
1770: } MPChacoEigenType;
1771: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1773: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType);
1774: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning, MPChacoGlobalType *);
1775: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType);
1776: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning, MPChacoLocalType *);
1777: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning, PetscReal);
1778: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning, MPChacoEigenType);
1779: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning, MPChacoEigenType *);
1780: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal);
1781: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning, PetscReal *);
1782: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt);
1783: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning, PetscInt *);
1785: #define MP_PARTY_OPT "opt"
1786: #define MP_PARTY_LIN "lin"
1787: #define MP_PARTY_SCA "sca"
1788: #define MP_PARTY_RAN "ran"
1789: #define MP_PARTY_GBF "gbf"
1790: #define MP_PARTY_GCF "gcf"
1791: #define MP_PARTY_BUB "bub"
1792: #define MP_PARTY_DEF "def"
1793: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char *);
1794: #define MP_PARTY_HELPFUL_SETS "hs"
1795: #define MP_PARTY_KERNIGHAN_LIN "kl"
1796: #define MP_PARTY_NONE "no"
1797: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char *);
1798: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning, PetscReal);
1799: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning, PetscBool);
1800: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning, PetscBool);
1802: typedef enum {
1803: MP_PTSCOTCH_DEFAULT,
1804: MP_PTSCOTCH_QUALITY,
1805: MP_PTSCOTCH_SPEED,
1806: MP_PTSCOTCH_BALANCE,
1807: MP_PTSCOTCH_SAFETY,
1808: MP_PTSCOTCH_SCALABILITY
1809: } MPPTScotchStrategyType;
1810: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1812: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning, PetscReal);
1813: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning, PetscReal *);
1814: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning, MPPTScotchStrategyType);
1815: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning, MPPTScotchStrategyType *);
1817: /*
1818: * hierarchical partitioning
1819: */
1820: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning, IS *);
1821: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning, IS *);
1822: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning, PetscInt);
1823: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1825: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat, PetscInt, Mat *);
1827: /*
1828: If you add entries here you must also add them to src/mat/f90-mod/petscmat.h
1829: If any of the enum values are changed, also update dMatOps dict at src/binding/petsc4py/src/libpetsc4py/libpetsc4py.pyx
1830: */
1831: typedef enum {
1832: MATOP_SET_VALUES = 0,
1833: MATOP_GET_ROW = 1,
1834: MATOP_RESTORE_ROW = 2,
1835: MATOP_MULT = 3,
1836: MATOP_MULT_ADD = 4,
1837: MATOP_MULT_TRANSPOSE = 5,
1838: MATOP_MULT_TRANSPOSE_ADD = 6,
1839: MATOP_SOLVE = 7,
1840: MATOP_SOLVE_ADD = 8,
1841: MATOP_SOLVE_TRANSPOSE = 9,
1842: MATOP_SOLVE_TRANSPOSE_ADD = 10,
1843: MATOP_LUFACTOR = 11,
1844: MATOP_CHOLESKYFACTOR = 12,
1845: MATOP_SOR = 13,
1846: MATOP_TRANSPOSE = 14,
1847: MATOP_GETINFO = 15,
1848: MATOP_EQUAL = 16,
1849: MATOP_GET_DIAGONAL = 17,
1850: MATOP_DIAGONAL_SCALE = 18,
1851: MATOP_NORM = 19,
1852: MATOP_ASSEMBLY_BEGIN = 20,
1853: MATOP_ASSEMBLY_END = 21,
1854: MATOP_SET_OPTION = 22,
1855: MATOP_ZERO_ENTRIES = 23,
1856: MATOP_ZERO_ROWS = 24,
1857: MATOP_LUFACTOR_SYMBOLIC = 25,
1858: MATOP_LUFACTOR_NUMERIC = 26,
1859: MATOP_CHOLESKY_FACTOR_SYMBOLIC = 27,
1860: MATOP_CHOLESKY_FACTOR_NUMERIC = 28,
1861: MATOP_SETUP = 29,
1862: MATOP_ILUFACTOR_SYMBOLIC = 30,
1863: MATOP_ICCFACTOR_SYMBOLIC = 31,
1864: MATOP_GET_DIAGONAL_BLOCK = 32,
1865: MATOP_SET_INF = 33,
1866: MATOP_DUPLICATE = 34,
1867: MATOP_FORWARD_SOLVE = 35,
1868: MATOP_BACKWARD_SOLVE = 36,
1869: MATOP_ILUFACTOR = 37,
1870: MATOP_ICCFACTOR = 38,
1871: MATOP_AXPY = 39,
1872: MATOP_CREATE_SUBMATRICES = 40,
1873: MATOP_INCREASE_OVERLAP = 41,
1874: MATOP_GET_VALUES = 42,
1875: MATOP_COPY = 43,
1876: MATOP_GET_ROW_MAX = 44,
1877: MATOP_SCALE = 45,
1878: MATOP_SHIFT = 46,
1879: MATOP_DIAGONAL_SET = 47,
1880: MATOP_ZERO_ROWS_COLUMNS = 48,
1881: MATOP_SET_RANDOM = 49,
1882: MATOP_GET_ROW_IJ = 50,
1883: MATOP_RESTORE_ROW_IJ = 51,
1884: MATOP_GET_COLUMN_IJ = 52,
1885: MATOP_RESTORE_COLUMN_IJ = 53,
1886: MATOP_FDCOLORING_CREATE = 54,
1887: MATOP_COLORING_PATCH = 55,
1888: MATOP_SET_UNFACTORED = 56,
1889: MATOP_PERMUTE = 57,
1890: MATOP_SET_VALUES_BLOCKED = 58,
1891: MATOP_CREATE_SUBMATRIX = 59,
1892: MATOP_DESTROY = 60,
1893: MATOP_VIEW = 61,
1894: MATOP_CONVERT_FROM = 62,
1895: /* MATOP_PLACEHOLDER_63=63 */
1896: MATOP_MATMAT_MULT_SYMBOLIC = 64,
1897: MATOP_MATMAT_MULT_NUMERIC = 65,
1898: MATOP_SET_LOCAL_TO_GLOBAL_MAP = 66,
1899: MATOP_SET_VALUES_LOCAL = 67,
1900: MATOP_ZERO_ROWS_LOCAL = 68,
1901: MATOP_GET_ROW_MAX_ABS = 69,
1902: MATOP_GET_ROW_MIN_ABS = 70,
1903: MATOP_CONVERT = 71,
1904: MATOP_HAS_OPERATION = 72,
1905: /* MATOP_PLACEHOLDER_73=73, */
1906: MATOP_SET_VALUES_ADIFOR = 74,
1907: MATOP_FD_COLORING_APPLY = 75,
1908: MATOP_SET_FROM_OPTIONS = 76,
1909: /* MATOP_PLACEHOLDER_77=77, */
1910: /* MATOP_PLACEHOLDER_78=78, */
1911: MATOP_FIND_ZERO_DIAGONALS = 79,
1912: MATOP_MULT_MULTIPLE = 80,
1913: MATOP_SOLVE_MULTIPLE = 81,
1914: MATOP_GET_INERTIA = 82,
1915: MATOP_LOAD = 83,
1916: MATOP_IS_SYMMETRIC = 84,
1917: MATOP_IS_HERMITIAN = 85,
1918: MATOP_IS_STRUCTURALLY_SYMMETRIC = 86,
1919: MATOP_SET_VALUES_BLOCKEDLOCAL = 87,
1920: MATOP_CREATE_VECS = 88,
1921: /* MATOP_PLACEHOLDER_89=89, */
1922: MATOP_MAT_MULT_SYMBOLIC = 90,
1923: MATOP_MAT_MULT_NUMERIC = 91,
1924: /* MATOP_PLACEHOLDER_92=92, */
1925: MATOP_PTAP_SYMBOLIC = 93,
1926: MATOP_PTAP_NUMERIC = 94,
1927: /* MATOP_PLACEHOLDER_95=95, */
1928: MATOP_MAT_TRANSPOSE_MULT_SYMBO = 96,
1929: MATOP_MAT_TRANSPOSE_MULT_NUMER = 97,
1930: MATOP_BIND_TO_CPU = 98,
1931: MATOP_PRODUCTSETFROMOPTIONS = 99,
1932: MATOP_PRODUCTSYMBOLIC = 100,
1933: MATOP_PRODUCTNUMERIC = 101,
1934: MATOP_CONJUGATE = 102,
1935: MATOP_VIEW_NATIVE = 103,
1936: MATOP_SET_VALUES_ROW = 104,
1937: MATOP_REAL_PART = 105,
1938: MATOP_IMAGINARY_PART = 106,
1939: MATOP_GET_ROW_UPPER_TRIANGULAR = 107,
1940: MATOP_RESTORE_ROW_UPPER_TRIANG = 108,
1941: MATOP_MAT_SOLVE = 109,
1942: MATOP_MAT_SOLVE_TRANSPOSE = 110,
1943: MATOP_GET_ROW_MIN = 111,
1944: MATOP_GET_COLUMN_VECTOR = 112,
1945: MATOP_MISSING_DIAGONAL = 113,
1946: MATOP_GET_SEQ_NONZERO_STRUCTUR = 114,
1947: MATOP_CREATE = 115,
1948: MATOP_GET_GHOSTS = 116,
1949: MATOP_GET_LOCAL_SUB_MATRIX = 117,
1950: MATOP_RESTORE_LOCALSUB_MATRIX = 118,
1951: MATOP_MULT_DIAGONAL_BLOCK = 119,
1952: MATOP_HERMITIAN_TRANSPOSE = 120,
1953: MATOP_MULT_HERMITIAN_TRANSPOSE = 121,
1954: MATOP_MULT_HERMITIAN_TRANS_ADD = 122,
1955: MATOP_GET_MULTI_PROC_BLOCK = 123,
1956: MATOP_FIND_NONZERO_ROWS = 124,
1957: MATOP_GET_COLUMN_NORMS = 125,
1958: MATOP_INVERT_BLOCK_DIAGONAL = 126,
1959: MATOP_INVERT_VBLOCK_DIAGONAL = 127,
1960: MATOP_CREATE_SUB_MATRICES_MPI = 128,
1961: MATOP_SET_VALUES_BATCH = 129,
1962: /* MATOP_PLACEHOLDER_130=130, */
1963: MATOP_TRANSPOSE_MAT_MULT_SYMBO = 131,
1964: MATOP_TRANSPOSE_MAT_MULT_NUMER = 132,
1965: MATOP_TRANSPOSE_COLORING_CREAT = 133,
1966: MATOP_TRANS_COLORING_APPLY_SPT = 134,
1967: MATOP_TRANS_COLORING_APPLY_DEN = 135,
1968: /* MATOP_PLACEHOLDER_136=136, */
1969: MATOP_RART_SYMBOLIC = 137,
1970: MATOP_RART_NUMERIC = 138,
1971: MATOP_SET_BLOCK_SIZES = 139,
1972: MATOP_AYPX = 140,
1973: MATOP_RESIDUAL = 141,
1974: MATOP_FDCOLORING_SETUP = 142,
1975: MATOP_FIND_OFFBLOCK_ENTRIES = 143,
1976: MATOP_MPICONCATENATESEQ = 144,
1977: MATOP_DESTROYSUBMATRICES = 145,
1978: MATOP_TRANSPOSE_SOLVE = 146,
1979: MATOP_GET_VALUES_LOCAL = 147
1980: } MatOperation;
1981: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat, MatOperation, void (*)(void));
1982: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat, MatOperation, void (**)(void));
1983: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat, MatOperation, PetscBool *);
1984: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat, PetscBool *);
1985: PETSC_DEPRECATED_FUNCTION("Use MatProductClear() (since version 3.14)") static inline PetscErrorCode MatFreeIntermediateDataStructures(Mat A)
1986: {
1987: return MatProductClear(A);
1988: }
1989: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat, MatOperation, void (*)(void));
1990: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat, MatOperation, void (**)(void));
1991: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat, void *);
1992: PETSC_EXTERN PetscErrorCode MatShellSetContextDestroy(Mat, PetscErrorCode (*)(void *));
1993: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat, VecType);
1994: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
1995: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
1996: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
1997: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType);
1998: PETSC_EXTERN PetscErrorCode MatIsShell(Mat, PetscBool *);
2000: /*
2001: Codes for matrices stored on disk. By default they are
2002: stored in a universal format. By changing the format with
2003: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
2004: be stored in a way natural for the matrix, for example dense matrices
2005: would be stored as dense. Matrices stored this way may only be
2006: read into matrices of the same type.
2007: */
2008: #define MATRIX_BINARY_FORMAT_DENSE -1
2010: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat, PetscReal);
2012: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat, MatType);
2013: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
2014: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat, PetscBool);
2015: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat, PetscBool);
2016: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat, Mat *);
2017: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat, Mat *);
2018: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat, Mat);
2019: PETSC_EXTERN PetscErrorCode MatISGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
2020: PETSC_EXTERN PETSC_DEPRECATED_FUNCTION("Use the MatConvert() interface (since version 3.10)") PetscErrorCode MatISGetMPIXAIJ(Mat, MatReuse, Mat *);
2022: /*S
2023: MatNullSpace - Object that removes a null space from a vector, i.e.
2024: orthogonalizes the vector to a subspace
2026: Level: advanced
2028: .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()`
2029: S*/
2030: typedef struct _p_MatNullSpace *MatNullSpace;
2032: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm, PetscBool, PetscInt, const Vec[], MatNullSpace *);
2033: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace, PetscErrorCode (*)(MatNullSpace, Vec, void *), void *);
2034: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace *);
2035: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace, Vec);
2036: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
2037: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
2038: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat, MatNullSpace);
2039: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat, MatNullSpace);
2040: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat, MatNullSpace);
2041: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat, MatNullSpace *);
2042: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace, Mat, PetscBool *);
2043: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace, PetscViewer);
2044: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace, PetscBool *, PetscInt *, const Vec **);
2045: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec, MatNullSpace *);
2047: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat, IS);
2048: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat, PetscReal);
2049: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat, PetscInt *);
2051: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat, PetscInt, Mat *);
2052: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat, PetscInt, Mat *);
2053: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat, Mat *);
2055: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat, MatType, Mat *);
2056: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat, MatType, Mat *);
2058: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperator() (since version 3.12)") static inline PetscErrorCode MatComputeExplicitOperator(Mat A, Mat *B)
2059: {
2060: return MatComputeOperator(A, PETSC_NULLPTR, B);
2061: }
2062: PETSC_DEPRECATED_FUNCTION("Use MatComputeOperatorTranspose() (since version 3.12)") static inline PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A, Mat *B)
2063: {
2064: return MatComputeOperatorTranspose(A, PETSC_NULLPTR, B);
2065: }
2067: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat, PetscInt, PetscInt, const PetscScalar[], const PetscScalar[], Mat *);
2068: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat, Mat *);
2069: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat, PetscInt *, PetscInt *, PetscScalar **);
2070: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2071: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat, PetscScalar **);
2072: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat, const PetscScalar **);
2073: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat, PetscInt *, PetscInt *, PetscScalar **);
2074: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2075: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat, PetscScalar **);
2076: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat, const PetscScalar **);
2077: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat, Mat);
2078: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat, PetscInt, PetscInt, const PetscScalar[]);
2079: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat, PetscInt, PetscInt, const PetscScalar[]);
2080: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat, PetscBool *);
2082: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat, Vec);
2084: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2085: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat, Vec, Vec);
2086: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat, PetscErrorCode (*)(void *, Vec, Vec), void *);
2087: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat, PetscErrorCode (*)(void *, PetscInt, Vec, PetscScalar *));
2088: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat, PetscErrorCode (*)(void *, Vec));
2089: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat, PetscScalar[], PetscInt);
2090: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
2091: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat, PetscReal);
2092: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat, PetscInt);
2093: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat, PetscScalar *);
2094: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat, const char[]);
2095: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void *, Vec, Vec, PetscScalar *);
2096: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat, PetscErrorCode (*)(void *, Vec, Vec, PetscScalar *), void *);
2098: /*S
2099: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
2100: Jacobian vector products
2102: Level: developer
2104: Notes:
2105: `MATMFFD` is a specific `MatType` which uses the `MatMFFD` data structure
2107: MatMFFD*() methods actually take the `Mat` as their first argument. Not a `MatMFFD` data structure
2109: This functionality is often obtained using `MatCreateSNESMF()` or with `SNES` solvers using `-snes_mf` or `-snes_mf_operator`
2111: .seealso: [](ch_matrices), `MatMFFDType`, `MATMFFD`, `MatCreateMFFD()`, `MatMFFDSetFuction()`, `MatMFFDSetType()`, `MatMFFDRegister()`,
2112: `MatCreateSNESMF()`, `SNES`, `-snes_mf`, `-snes_mf_operator`
2113: S*/
2114: typedef struct _p_MatMFFD *MatMFFD;
2116: /*J
2117: MatMFFDType - algorithm used to compute the `h` used in computing matrix-vector products via differencing of a function
2119: Values:
2120: + `MATMFFD_DS` - an algorithm described by Dennis and Schnabel
2121: - `MATMFFD_WP` - the Walker-Pernice strategy.
2123: Level: beginner
2125: .seealso: [](ch_matrices), `MatMFFDSetType()`, `MatMFFDRegister()`, `MatMFFDSetFunction()`, `MatCreateMFFD()`
2126: J*/
2127: typedef const char *MatMFFDType;
2128: #define MATMFFD_DS "ds"
2129: #define MATMFFD_WP "wp"
2131: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat, MatMFFDType);
2132: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[], PetscErrorCode (*)(MatMFFD));
2134: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat, PetscReal);
2135: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat, PetscBool);
2137: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring, MatMFFDType);
2139: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
2140: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
2142: #ifdef PETSC_HAVE_H2OPUS
2143: PETSC_EXTERN_TYPEDEF typedef PetscScalar (*MatH2OpusKernel)(PetscInt, PetscReal[], PetscReal[], void *);
2144: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], PetscBool, MatH2OpusKernel, void *, PetscReal, PetscInt, PetscInt, Mat *);
2145: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromMat(Mat, PetscInt, const PetscReal[], PetscBool, PetscReal, PetscInt, PetscInt, PetscInt, PetscReal, Mat *);
2146: PETSC_EXTERN PetscErrorCode MatH2OpusSetSamplingMat(Mat, Mat, PetscInt, PetscReal);
2147: PETSC_EXTERN PetscErrorCode MatH2OpusOrthogonalize(Mat);
2148: PETSC_EXTERN PetscErrorCode MatH2OpusCompress(Mat, PetscReal);
2149: PETSC_EXTERN PetscErrorCode MatH2OpusSetNativeMult(Mat, PetscBool);
2150: PETSC_EXTERN PetscErrorCode MatH2OpusGetNativeMult(Mat, PetscBool *);
2151: PETSC_EXTERN PetscErrorCode MatH2OpusGetIndexMap(Mat, IS *);
2152: PETSC_EXTERN PetscErrorCode MatH2OpusMapVec(Mat, PetscBool, Vec, Vec *);
2153: PETSC_EXTERN PetscErrorCode MatH2OpusLowRankUpdate(Mat, Mat, Mat, PetscScalar);
2154: #endif
2156: #ifdef PETSC_HAVE_HTOOL
2157: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode (*MatHtoolKernel)(PetscInt, PetscInt, PetscInt, const PetscInt *, const PetscInt *, PetscScalar *, void *);
2158: PETSC_EXTERN PetscErrorCode MatCreateHtoolFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], const PetscReal[], MatHtoolKernel, void *, Mat *);
2159: PETSC_EXTERN PetscErrorCode MatHtoolSetKernel(Mat, MatHtoolKernel, void *);
2160: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationSource(Mat, IS *);
2161: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationTarget(Mat, IS *);
2162: PETSC_EXTERN PetscErrorCode MatHtoolUsePermutation(Mat, PetscBool);
2164: /*E
2165: MatHtoolCompressorType - Indicates the type of compressor used by a `MATHTOOL`
2167: Values:
2168: + `MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA` (default) - symmetric partial adaptive cross approximation
2169: . `MAT_HTOOL_COMPRESSOR_FULL_ACA` - full adaptive cross approximation
2170: - `MAT_HTOOL_COMPRESSOR_SVD` - singular value decomposition
2172: Level: intermediate
2174: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolClusteringType`
2175: E*/
2176: typedef enum {
2177: MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA,
2178: MAT_HTOOL_COMPRESSOR_FULL_ACA,
2179: MAT_HTOOL_COMPRESSOR_SVD
2180: } MatHtoolCompressorType;
2182: /*E
2183: MatHtoolClusteringType - Indicates the type of clustering used by a `MATHTOOL`
2185: Values:
2186: + `MAT_HTOOL_CLUSTERING_PCA_REGULAR` (default) - axis computed via principle component analysis, split uniformly
2187: . `MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC` - axis computed via principle component analysis, split barycentrically
2188: . `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR` - axis along the largest extent of the bounding box, split uniformly
2189: - `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC` - axis along the largest extent of the bounding box, split barycentrically
2191: Level: intermediate
2193: Note:
2194: Higher-dimensional clustering is not yet supported in Htool, but once it is, one should add BOUNDING_BOX_{2,3} types
2196: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolCompressorType`
2197: E*/
2198: typedef enum {
2199: MAT_HTOOL_CLUSTERING_PCA_REGULAR,
2200: MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC,
2201: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR,
2202: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC
2203: } MatHtoolClusteringType;
2204: #endif
2206: #ifdef PETSC_HAVE_MUMPS
2207: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat, PetscInt, PetscInt);
2208: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat, PetscInt, PetscInt *);
2209: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat, PetscInt, PetscReal);
2210: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat, PetscInt, PetscReal *);
2212: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat, PetscInt, PetscInt *);
2213: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat, PetscInt, PetscInt *);
2214: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat, PetscInt, PetscReal *);
2215: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat, PetscInt, PetscReal *);
2216: PETSC_EXTERN PetscErrorCode MatMumpsGetNullPivots(Mat, PetscInt *, PetscInt **);
2217: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat, Mat);
2218: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat, Mat);
2219: #endif
2221: #ifdef PETSC_HAVE_MKL_PARDISO
2222: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat, PetscInt, PetscInt);
2223: #endif
2225: #ifdef PETSC_HAVE_MKL_CPARDISO
2226: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat, PetscInt, PetscInt);
2227: #endif
2229: #ifdef PETSC_HAVE_SUPERLU
2230: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat, PetscReal);
2231: #endif
2233: #ifdef PETSC_HAVE_SUPERLU_DIST
2234: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat, PetscScalar *);
2235: #endif
2237: #ifdef PETSC_HAVE_STRUMPACK
2238: /*E
2239: MatSTRUMPACKReordering - sparsity reducing ordering to be used in `MATSOLVERSTRUMPACK``
2241: Values:
2242: + `MAT_STRUMPACK_NATURAL` - use the current ordering
2243: . `MAT_STRUMPACK_METIS` - use MeTis to compute an ordering
2244: . `MAT_STRUMPACK_PARMETIS` - use ParMeTis to compute an ordering
2245: . `MAT_STRUMPACK_SCOTCH` - use Scotch to compute an ordering
2246: . `MAT_STRUMPACK_PTSCOTCH` - use parallel Scotch to compute an ordering
2247: - `MAT_STRUMPACK_RCM` - use an RCM ordering
2249: Level: intermediate
2251: Developer Note:
2252: Should be called `MatSTRUMPACKReorderingType`
2254: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetHSSRelTol()`, `MatSTRUMPACKSetReordering()`
2255: E*/
2256: typedef enum {
2257: MAT_STRUMPACK_NATURAL = 0,
2258: MAT_STRUMPACK_METIS = 1,
2259: MAT_STRUMPACK_PARMETIS = 2,
2260: MAT_STRUMPACK_SCOTCH = 3,
2261: MAT_STRUMPACK_PTSCOTCH = 4,
2262: MAT_STRUMPACK_RCM = 5
2263: } MatSTRUMPACKReordering;
2265: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat, MatSTRUMPACKReordering);
2266: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat, PetscBool);
2267: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSRelTol(Mat, PetscReal);
2268: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSRelTol() (since version 3.9)") static inline PetscErrorCode MatSTRUMPACKSetHSSRelCompTol(Mat mat, PetscReal rtol)
2269: {
2270: return MatSTRUMPACKSetHSSRelTol(mat, rtol);
2271: }
2272: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSAbsTol(Mat, PetscReal);
2273: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMinSepSize(Mat, PetscInt);
2274: PETSC_DEPRECATED_FUNCTION("Use MatSTRUMPACKSetHSSMinSepSize() (since version 3.9)") static inline PetscErrorCode MatSTRUMPACKSetHSSMinSize(Mat mat, PetscInt hssminsize)
2275: {
2276: return MatSTRUMPACKSetHSSMinSepSize(mat, hssminsize);
2277: }
2278: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSMaxRank(Mat, PetscInt);
2279: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetHSSLeafSize(Mat, PetscInt);
2280: #endif
2282: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat, PetscBool);
2283: PETSC_EXTERN PetscErrorCode MatBoundToCPU(Mat, PetscBool *);
2284: PETSC_DEPRECATED_FUNCTION("Use MatBindToCPU (since v3.13)") static inline PetscErrorCode MatPinToCPU(Mat A, PetscBool flg)
2285: {
2286: return MatBindToCPU(A, flg);
2287: }
2288: PETSC_EXTERN PetscErrorCode MatSetBindingPropagates(Mat, PetscBool);
2289: PETSC_EXTERN PetscErrorCode MatGetBindingPropagates(Mat, PetscBool *);
2291: typedef struct _n_SplitCSRMat *PetscSplitCSRDataStructure;
2292: PETSC_EXTERN PetscErrorCode MatCUSPARSEGetDeviceMatWrite(Mat, PetscSplitCSRDataStructure *);
2294: #ifdef PETSC_HAVE_KOKKOS_KERNELS
2295: PETSC_EXTERN PetscErrorCode MatKokkosGetDeviceMatWrite(Mat, PetscSplitCSRDataStructure *);
2296: PETSC_EXTERN PetscErrorCode MatSeqAIJKokkosSetDeviceMat(Mat, PetscSplitCSRDataStructure);
2297: PETSC_EXTERN PetscErrorCode MatSeqAIJKokkosGetDeviceMat(Mat, PetscSplitCSRDataStructure *);
2298: #endif
2300: #ifdef PETSC_HAVE_CUDA
2301: /*E
2302: MatCUSPARSEStorageFormat - indicates the storage format for `MATAIJCUSPARSE` (GPU)
2303: matrices.
2305: Values:
2306: + `MAT_CUSPARSE_CSR` - Compressed Sparse Row
2307: . `MAT_CUSPARSE_ELL` - Ellpack (requires CUDA 4.2 or later).
2308: - `MAT_CUSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
2310: Level: intermediate
2312: .seealso: [](ch_matrices), `MATAIJCUSPARSE`, `MatCUSPARSESetFormat()`, `MatCUSPARSEFormatOperation`
2313: E*/
2315: typedef enum {
2316: MAT_CUSPARSE_CSR,
2317: MAT_CUSPARSE_ELL,
2318: MAT_CUSPARSE_HYB
2319: } MatCUSPARSEStorageFormat;
2321: /* these will be strings associated with enumerated type defined above */
2322: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
2324: /*E
2325: MatCUSPARSEFormatOperation - indicates the operation of `MATAIJCUSPARSE` (GPU)
2326: matrices whose operation should use a particular storage format.
2328: Values:
2329: + `MAT_CUSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel MatMult
2330: . `MAT_CUSPARSE_MULT_OFFDIAG` - sets the storage format for the offdiagonal matrix in the parallel MatMult
2331: . `MAT_CUSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) MatMult
2332: - `MAT_CUSPARSE_ALL` - sets the storage format for all `MATAIJCUSPARSE` (GPU) matrices
2334: Level: intermediate
2336: .seealso: [](ch_matrices), `MatCUSPARSESetFormat()`, `MatCUSPARSEStorageFormat`
2337: E*/
2338: typedef enum {
2339: MAT_CUSPARSE_MULT_DIAG,
2340: MAT_CUSPARSE_MULT_OFFDIAG,
2341: MAT_CUSPARSE_MULT,
2342: MAT_CUSPARSE_ALL
2343: } MatCUSPARSEFormatOperation;
2345: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2346: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2347: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat, MatCUSPARSEFormatOperation, MatCUSPARSEStorageFormat);
2348: PETSC_EXTERN PetscErrorCode MatCUSPARSESetUseCPUSolve(Mat, PetscBool);
2349: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2350: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2351: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayRead(Mat, const PetscScalar **);
2352: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayRead(Mat, const PetscScalar **);
2353: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayWrite(Mat, PetscScalar **);
2354: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayWrite(Mat, PetscScalar **);
2355: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArray(Mat, PetscScalar **);
2356: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArray(Mat, PetscScalar **);
2358: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2359: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2360: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat, PetscScalar **);
2361: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat, const PetscScalar **);
2362: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat, PetscScalar **);
2363: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat, PetscScalar **);
2364: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat, const PetscScalar **);
2365: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat, PetscScalar **);
2366: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat, const PetscScalar *);
2367: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat, const PetscScalar *);
2368: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);
2369: #endif
2371: #ifdef PETSC_HAVE_HIP
2372: /*E
2373: MatHIPSPARSEStorageFormat - indicates the storage format for `MATAIJHIPSPARSE` (GPU)
2374: matrices.
2376: Values:
2377: + `MAT_HIPSPARSE_CSR` - Compressed Sparse Row
2378: . `MAT_HIPSPARSE_ELL` - Ellpack
2379: - `MAT_HIPSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format
2381: Level: intermediate
2383: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEFormatOperation`
2384: E*/
2386: typedef enum {
2387: MAT_HIPSPARSE_CSR,
2388: MAT_HIPSPARSE_ELL,
2389: MAT_HIPSPARSE_HYB
2390: } MatHIPSPARSEStorageFormat;
2392: /* these will be strings associated with enumerated type defined above */
2393: PETSC_EXTERN const char *const MatHIPSPARSEStorageFormats[];
2395: /*E
2396: MatHIPSPARSEFormatOperation - indicates the operation of `MATAIJHIPSPARSE` (GPU)
2397: matrices whose operation should use a particular storage format.
2399: Values:
2400: + `MAT_HIPSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2401: . `MAT_HIPSPARSE_MULT_OFFDIAG` - sets the storage format for the offdiagonal matrix in the parallel `MatMult()`
2402: . `MAT_HIPSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2403: - `MAT_HIPSPARSE_ALL` - sets the storage format for all HIPSPARSE (GPU) matrices
2405: Level: intermediate
2407: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEStorageFormat`
2408: E*/
2409: typedef enum {
2410: MAT_HIPSPARSE_MULT_DIAG,
2411: MAT_HIPSPARSE_MULT_OFFDIAG,
2412: MAT_HIPSPARSE_MULT,
2413: MAT_HIPSPARSE_ALL
2414: } MatHIPSPARSEFormatOperation;
2416: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2417: PETSC_EXTERN PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2418: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetFormat(Mat, MatHIPSPARSEFormatOperation, MatHIPSPARSEStorageFormat);
2419: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetUseCPUSolve(Mat, PetscBool);
2420: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2421: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2422: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayRead(Mat, const PetscScalar **);
2423: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayRead(Mat, const PetscScalar **);
2424: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayWrite(Mat, PetscScalar **);
2425: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayWrite(Mat, PetscScalar **);
2426: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArray(Mat, PetscScalar **);
2427: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArray(Mat, PetscScalar **);
2429: PETSC_EXTERN PetscErrorCode MatCreateDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2430: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2431: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayWrite(Mat, PetscScalar **);
2432: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayRead(Mat, const PetscScalar **);
2433: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArray(Mat, PetscScalar **);
2434: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayWrite(Mat, PetscScalar **);
2435: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayRead(Mat, const PetscScalar **);
2436: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArray(Mat, PetscScalar **);
2437: PETSC_EXTERN PetscErrorCode MatDenseHIPPlaceArray(Mat, const PetscScalar *);
2438: PETSC_EXTERN PetscErrorCode MatDenseHIPReplaceArray(Mat, const PetscScalar *);
2439: PETSC_EXTERN PetscErrorCode MatDenseHIPResetArray(Mat);
2440: #endif
2442: #if defined(PETSC_HAVE_VIENNACL)
2443: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2444: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2445: #endif
2447: #if defined(PETSC_HAVE_FFTW)
2448: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat, Vec, Vec);
2449: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat, Vec, Vec);
2450: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat, Vec *, Vec *, Vec *);
2451: #endif
2453: #if defined(PETSC_HAVE_SCALAPACK)
2454: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2455: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat, PetscInt, PetscInt);
2456: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat, PetscInt *, PetscInt *);
2457: #endif
2459: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm, PetscInt, const IS[], PetscInt, const IS[], const Mat[], Mat *);
2460: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat, PetscInt *, PetscInt *);
2461: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat, IS[], IS[]);
2462: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat, IS[], IS[]);
2463: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat, PetscInt *, PetscInt *, Mat ***);
2464: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat, PetscInt, PetscInt, Mat *);
2465: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat, VecType);
2466: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat, PetscInt, const IS[], PetscInt, const IS[], const Mat[]);
2467: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat, PetscInt, PetscInt, Mat);
2469: PETSC_EXTERN PetscErrorCode MatChop(Mat, PetscReal);
2470: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat, PetscReal, PetscInt *);
2472: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat, PetscInt, PetscInt *, IS **);
2474: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat, PetscBool, Mat);
2476: PETSC_INTERN PetscErrorCode MatHeaderMerge(Mat, Mat *);
2477: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat, Mat *);
2479: PETSC_EXTERN PetscErrorCode MatSeqAIJGetCSRAndMemType(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *);
2481: PETSC_EXTERN PetscErrorCode MatCreateGraph(Mat, PetscBool, PetscBool, PetscReal, Mat *);
2482: PETSC_EXTERN PetscErrorCode MatEliminateZeros(Mat);
2483: #endif