Actual source code: petscmat.h
1: /*
2: Include file for the matrix component of PETSc
3: */
4: #pragma once
6: #include <petscvec.h>
8: /* SUBMANSEC = Mat */
10: /*S
11: Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without
12: an explicit sparse representation (such as matrix-free operators). Also used to hold representations of graphs
13: for graph operations such as coloring, `MatColoringCreate()`
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(3, 18, 0, "MATTRANSPOSEVIRTUAL", ) "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 MATSELLCUDA "sellcuda"
120: #define MATSEQSELLCUDA "seqsellcuda"
121: #define MATMPISELLCUDA "mpisellcuda"
122: #define MATSELLHIP "sellhip"
123: #define MATSEQSELLHIP "seqsellhip"
124: #define MATMPISELLHIP "mpisellhip"
125: #define MATDUMMY "dummy"
126: #define MATLMVM "lmvm"
127: #define MATLMVMDFP "lmvmdfp"
128: #define MATLMVMDDFP "lmvmddfp"
129: #define MATLMVMBFGS "lmvmbfgs"
130: #define MATLMVMDBFGS "lmvmdbfgs"
131: #define MATLMVMDQN "lmvmdqn"
132: #define MATLMVMSR1 "lmvmsr1"
133: #define MATLMVMBROYDEN "lmvmbroyden"
134: #define MATLMVMBADBROYDEN "lmvmbadbroyden"
135: #define MATLMVMSYMBROYDEN "lmvmsymbroyden"
136: #define MATLMVMSYMBADBROYDEN "lmvmsymbadbroyden"
137: #define MATLMVMDIAGBROYDEN "lmvmdiagbroyden"
138: #define MATCONSTANTDIAGONAL "constantdiagonal"
139: #define MATDIAGONAL "diagonal"
140: #define MATHTOOL "htool"
141: #define MATH2OPUS "h2opus"
143: /*J
144: MatSolverType - String with the name of a PETSc factorization-based matrix solver type.
146: For example: "petsc" indicates what PETSc provides, "superlu_dist" the parallel SuperLU_DIST package etc
148: Level: beginner
150: Note:
151: `MATSOLVERUMFPACK`, `MATSOLVERCHOLMOD`, `MATSOLVERKLU`, `MATSOLVERSPQR` form the SuiteSparse package; you can use `--download-suitesparse` as
152: a ./configure option to install them
154: .seealso: [](sec_matfactor), [](ch_matrices), `MatGetFactor()`, `PCFactorSetMatSolverType()`, `PCFactorGetMatSolverType()`
155: J*/
156: typedef const char *MatSolverType;
157: #define MATSOLVERSUPERLU "superlu"
158: #define MATSOLVERSUPERLU_DIST "superlu_dist"
159: #define MATSOLVERSTRUMPACK "strumpack"
160: #define MATSOLVERUMFPACK "umfpack"
161: #define MATSOLVERCHOLMOD "cholmod"
162: #define MATSOLVERKLU "klu"
163: #define MATSOLVERELEMENTAL "elemental"
164: #define MATSOLVERSCALAPACK "scalapack"
165: #define MATSOLVERESSL "essl"
166: #define MATSOLVERLUSOL "lusol"
167: #define MATSOLVERMUMPS "mumps"
168: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
169: #define MATSOLVERMKL_CPARDISO "mkl_cpardiso"
170: #define MATSOLVERPASTIX "pastix"
171: #define MATSOLVERMATLAB "matlab"
172: #define MATSOLVERPETSC "petsc"
173: #define MATSOLVERBAS "bas"
174: #define MATSOLVERCUSPARSE "cusparse"
175: #define MATSOLVERCUDA "cuda"
176: #define MATSOLVERHIPSPARSE "hipsparse"
177: #define MATSOLVERHIP "hip"
178: #define MATSOLVERKOKKOS "kokkos"
179: #define MATSOLVERSPQR "spqr"
180: #define MATSOLVERHTOOL "htool"
182: /*E
183: MatFactorType - indicates what type of factorization is requested
185: Values:
186: + `MAT_FACTOR_LU` - LU factorization
187: . `MAT_FACTOR_CHOLESKY` - Cholesky factorization
188: . `MAT_FACTOR_ILU` - ILU factorization
189: . `MAT_FACTOR_ICC` - incomplete Cholesky factorization
190: . `MAT_FACTOR_ILUDT` - ILU factorization with drop tolerance
191: - `MAT_FACTOR_QR` - QR factorization
193: Level: beginner
195: .seealso: [](ch_matrices), `MatSolverType`, `MatGetFactor()`, `MatGetFactorAvailable()`, `MatSolverTypeRegister()`
196: E*/
197: typedef enum {
198: MAT_FACTOR_NONE,
199: MAT_FACTOR_LU,
200: MAT_FACTOR_CHOLESKY,
201: MAT_FACTOR_ILU,
202: MAT_FACTOR_ICC,
203: MAT_FACTOR_ILUDT,
204: MAT_FACTOR_QR,
205: MAT_FACTOR_NUM_TYPES
206: } MatFactorType;
207: PETSC_EXTERN const char *const MatFactorTypes[];
209: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat, MatSolverType, MatFactorType, Mat *);
210: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat, MatSolverType, MatFactorType, PetscBool *);
211: PETSC_EXTERN PetscErrorCode MatFactorGetCanUseOrdering(Mat, PetscBool *);
212: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "MatFactorGetCanUseOrdering()", ) static inline PetscErrorCode MatFactorGetUseOrdering(Mat A, PetscBool *b)
213: {
214: return MatFactorGetCanUseOrdering(A, b);
215: }
216: PETSC_EXTERN PetscErrorCode MatFactorGetSolverType(Mat, MatSolverType *);
217: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat, MatFactorType *);
218: PETSC_EXTERN PetscErrorCode MatSetFactorType(Mat, MatFactorType);
219: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(MatSolverFn)(Mat, MatFactorType, Mat *);
220: PETSC_EXTERN_TYPEDEF typedef MatSolverFn *MatSolverFunction;
222: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister(MatSolverType, MatType, MatFactorType, MatSolverFn *);
223: PETSC_EXTERN PetscErrorCode MatSolverTypeGet(MatSolverType, MatType, MatFactorType, PetscBool *, PetscBool *, MatSolverFn **);
224: typedef MatSolverType MatSolverPackage PETSC_DEPRECATED_TYPEDEF(3, 9, 0, "MatSolverType", );
225: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeRegister()", ) static inline PetscErrorCode MatSolverPackageRegister(MatSolverType stype, MatType mtype, MatFactorType ftype, MatSolverFn *f)
226: {
227: return MatSolverTypeRegister(stype, mtype, ftype, f);
228: }
229: PETSC_DEPRECATED_FUNCTION(3, 9, 0, "MatSolverTypeGet()", ) static inline PetscErrorCode MatSolverPackageGet(MatSolverType stype, MatType mtype, MatFactorType ftype, PetscBool *foundmtype, PetscBool *foundstype, MatSolverFn **f)
230: {
231: return MatSolverTypeGet(stype, mtype, ftype, foundmtype, foundstype, f);
232: }
234: /*E
235: MatProductType - indicates what type of matrix product to compute
237: Values:
238: + `MATPRODUCT_AB` - product of two matrices
239: . `MATPRODUCT_AtB` - product of the transpose of a given matrix with a matrix
240: . `MATPRODUCT_ABt` - product of a matrix with the transpose of another given matrix
241: . `MATPRODUCT_PtAP` - the triple product of the transpose of a matrix with another matrix and itself
242: . `MATPRODUCT_RARt` - the triple product of a matrix, another matrix and the transpose of the first matrix
243: - `MATPRODUCT_ABC` - the product of three matrices
245: Level: beginner
247: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatProductSetType()`
248: E*/
249: typedef enum {
250: MATPRODUCT_UNSPECIFIED = 0,
251: MATPRODUCT_AB,
252: MATPRODUCT_AtB,
253: MATPRODUCT_ABt,
254: MATPRODUCT_PtAP,
255: MATPRODUCT_RARt,
256: MATPRODUCT_ABC
257: } MatProductType;
258: PETSC_EXTERN const char *const MatProductTypes[];
260: /*J
261: MatProductAlgorithm - String with the name of an algorithm for a PETSc matrix product implementation
263: Level: beginner
265: .seealso: [](sec_matmatproduct), [](ch_matrices), `MatSetType()`, `Mat`, `MatProductSetAlgorithm()`, `MatProductType`
266: J*/
267: typedef const char *MatProductAlgorithm;
268: #define MATPRODUCTALGORITHMDEFAULT "default"
269: #define MATPRODUCTALGORITHMSORTED "sorted"
270: #define MATPRODUCTALGORITHMSCALABLE "scalable"
271: #define MATPRODUCTALGORITHMSCALABLEFAST "scalable_fast"
272: #define MATPRODUCTALGORITHMHEAP "heap"
273: #define MATPRODUCTALGORITHMBHEAP "btheap"
274: #define MATPRODUCTALGORITHMLLCONDENSED "llcondensed"
275: #define MATPRODUCTALGORITHMROWMERGE "rowmerge"
276: #define MATPRODUCTALGORITHMOUTERPRODUCT "outerproduct"
277: #define MATPRODUCTALGORITHMATB "at*b"
278: #define MATPRODUCTALGORITHMRAP "rap"
279: #define MATPRODUCTALGORITHMNONSCALABLE "nonscalable"
280: #define MATPRODUCTALGORITHMSEQMPI "seqmpi"
281: #define MATPRODUCTALGORITHMBACKEND "backend"
282: #define MATPRODUCTALGORITHMOVERLAPPING "overlapping"
283: #define MATPRODUCTALGORITHMMERGED "merged"
284: #define MATPRODUCTALGORITHMALLATONCE "allatonce"
285: #define MATPRODUCTALGORITHMALLATONCEMERGED "allatonce_merged"
286: #define MATPRODUCTALGORITHMALLGATHERV "allgatherv"
287: #define MATPRODUCTALGORITHMCYCLIC "cyclic"
288: #define MATPRODUCTALGORITHMHYPRE "hypre"
290: PETSC_EXTERN PetscErrorCode MatProductCreate(Mat, Mat, Mat, Mat *);
291: PETSC_EXTERN PetscErrorCode MatProductCreateWithMat(Mat, Mat, Mat, Mat);
292: PETSC_EXTERN PetscErrorCode MatProductSetType(Mat, MatProductType);
293: PETSC_EXTERN PetscErrorCode MatProductSetAlgorithm(Mat, MatProductAlgorithm);
294: PETSC_EXTERN PetscErrorCode MatProductGetAlgorithm(Mat, MatProductAlgorithm *);
295: PETSC_EXTERN PetscErrorCode MatProductSetFill(Mat, PetscReal);
296: PETSC_EXTERN PetscErrorCode MatProductSetFromOptions(Mat);
297: PETSC_EXTERN PetscErrorCode MatProductSymbolic(Mat);
298: PETSC_EXTERN PetscErrorCode MatProductNumeric(Mat);
299: PETSC_EXTERN PetscErrorCode MatProductReplaceMats(Mat, Mat, Mat, Mat);
300: PETSC_EXTERN PetscErrorCode MatProductClear(Mat);
301: PETSC_EXTERN PetscErrorCode MatProductView(Mat, PetscViewer);
302: PETSC_EXTERN PetscErrorCode MatProductGetType(Mat, MatProductType *);
303: PETSC_EXTERN PetscErrorCode MatProductGetMats(Mat, Mat *, Mat *, Mat *);
305: /* Logging support */
306: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
307: PETSC_EXTERN PetscClassId MAT_CLASSID;
308: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
309: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
310: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
311: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
312: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
313: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
314: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
316: /*E
317: MatReuse - Indicates if matrices obtained from a previous call to `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatConvert()` or several other functions
318: are to be reused to store the new matrix values.
320: Values:
321: + `MAT_INITIAL_MATRIX` - create a new matrix
322: . `MAT_REUSE_MATRIX` - reuse the matrix created with a previous call that used `MAT_INITIAL_MATRIX`
323: . `MAT_INPLACE_MATRIX` - replace the first input matrix with the new matrix (not applicable to all functions)
324: - `MAT_IGNORE_MATRIX` - do not create a new matrix or reuse a give matrix, just ignore that matrix argument (not applicable to all functions)
326: Level: beginner
328: .seealso: [](ch_matrices), `Mat`, `MatCreateSubMatrices()`, `MatCreateSubMatrix()`, `MatDestroyMatrices()`, `MatConvert()`
329: E*/
330: typedef enum {
331: MAT_INITIAL_MATRIX,
332: MAT_REUSE_MATRIX,
333: MAT_IGNORE_MATRIX,
334: MAT_INPLACE_MATRIX
335: } MatReuse;
337: /*E
338: MatCreateSubMatrixOption - Indicates if matrices obtained from a call to `MatCreateSubMatrices()`
339: include the matrix values. Currently it is only used by `MatGetSeqNonzeroStructure()`.
341: Values:
342: + `MAT_DO_NOT_GET_VALUES` - do not copy the matrix values
343: - `MAT_GET_VALUES` - copy the matrix values
345: Level: developer
347: Developer Note:
348: Why is not just a boolean used for this information?
350: .seealso: [](ch_matrices), `Mat`, `MatDuplicateOption`, `PetscCopyMode`, `MatGetSeqNonzeroStructure()`
351: E*/
352: typedef enum {
353: MAT_DO_NOT_GET_VALUES,
354: MAT_GET_VALUES
355: } MatCreateSubMatrixOption;
357: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
358: PETSC_EXTERN PetscErrorCode MatFinalizePackage(void);
360: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm, Mat *);
361: PETSC_EXTERN PetscErrorCode MatCreateFromOptions(MPI_Comm, const char *, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
362: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat, PetscInt, PetscInt, PetscInt, PetscInt);
363: PETSC_EXTERN PetscErrorCode MatSetType(Mat, MatType);
364: PETSC_EXTERN PetscErrorCode MatGetVecType(Mat, VecType *);
365: PETSC_EXTERN PetscErrorCode MatSetVecType(Mat, VecType);
366: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
367: PETSC_EXTERN PetscErrorCode MatViewFromOptions(Mat, PetscObject, const char[]);
368: PETSC_EXTERN PetscErrorCode MatRegister(const char[], PetscErrorCode (*)(Mat));
369: PETSC_EXTERN PetscErrorCode MatRegisterRootName(const char[], const char[], const char[]);
370: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat, const char[]);
371: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefixFactor(Mat, const char[]);
372: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefixFactor(Mat, const char[]);
373: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat, const char[]);
374: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat, const char *[]);
375: PETSC_EXTERN PetscErrorCode MatGetState(Mat, PetscObjectState *);
376: PETSC_EXTERN PetscErrorCode MatSetErrorIfFailure(Mat, PetscBool);
378: PETSC_EXTERN PetscFunctionList MatList;
379: PETSC_EXTERN PetscFunctionList MatColoringList;
380: PETSC_EXTERN PetscFunctionList MatPartitioningList;
382: /*E
383: MatStructure - Indicates if two matrices have the same nonzero structure
385: Values:
386: + `SAME_NONZERO_PATTERN` - the two matrices have identical nonzero patterns
387: . `DIFFERENT_NONZERO_PATTERN` - the two matrices may have different nonzero patterns
388: . `SUBSET_NONZERO_PATTERN` - the nonzero pattern of the second matrix is a subset of the nonzero pattern of the first matrix
389: - `UNKNOWN_NONZERO_PATTERN` - there is no known relationship between the nonzero patterns. In this case the implementations
390: may try to detect a relationship to optimize the operation
392: Level: beginner
394: Note:
395: Certain matrix operations (such as `MatAXPY()`) can run much faster if the sparsity pattern of the matrices are the same. But actually determining if
396: the patterns are the same may be costly. This provides a way for users who know something about the sparsity patterns to provide this information
397: to certain PETSc routines.
399: .seealso: [](ch_matrices), `Mat`, `MatCopy()`, `MatAXPY()`, `MatAYPX()`
400: E*/
401: typedef enum {
402: DIFFERENT_NONZERO_PATTERN,
403: SUBSET_NONZERO_PATTERN,
404: SAME_NONZERO_PATTERN,
405: UNKNOWN_NONZERO_PATTERN
406: } MatStructure;
407: PETSC_EXTERN const char *const MatStructures[];
409: #if defined PETSC_HAVE_MKL_SPARSE
410: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
411: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
412: PETSC_EXTERN PetscErrorCode MatCreateBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
413: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
414: #endif
416: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
417: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJPERM(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
419: PETSC_EXTERN PetscErrorCode MatCreateSeqSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
420: PETSC_EXTERN PetscErrorCode MatCreateSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
421: PETSC_EXTERN PetscErrorCode MatSeqSELLSetPreallocation(Mat, PetscInt, const PetscInt[]);
422: PETSC_EXTERN PetscErrorCode MatMPISELLSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
423: PETSC_EXTERN PetscErrorCode MatSeqSELLGetFillRatio(Mat, PetscReal *);
424: PETSC_EXTERN PetscErrorCode MatSeqSELLGetMaxSliceWidth(Mat, PetscInt *);
425: PETSC_EXTERN PetscErrorCode MatSeqSELLGetAvgSliceWidth(Mat, PetscReal *);
426: PETSC_EXTERN PetscErrorCode MatSeqSELLSetSliceHeight(Mat, PetscInt);
427: PETSC_EXTERN PetscErrorCode MatSeqSELLGetVarSliceSize(Mat, PetscReal *);
429: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
430: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSELL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
431: PETSC_EXTERN PetscErrorCode MatMPISELLGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
432: PETSC_EXTERN PetscErrorCode MatMPISELLGetSeqSELL(Mat, Mat *, Mat *, const PetscInt *[]);
434: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
435: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
436: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
437: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
438: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
439: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArrays(Mat, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
440: PETSC_EXTERN PetscErrorCode MatUpdateMPIAIJWithArray(Mat, const PetscScalar[]);
441: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], PetscInt[], PetscInt[], PetscScalar[], Mat *);
442: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSeqAIJ(MPI_Comm, Mat, Mat, const PetscInt[], Mat *);
444: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
445: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
446: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
448: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOO(Mat, PetscCount, PetscInt[], PetscInt[]);
449: PETSC_EXTERN PetscErrorCode MatSetPreallocationCOOLocal(Mat, PetscCount, PetscInt[], PetscInt[]);
450: PETSC_EXTERN PetscErrorCode MatSetValuesCOO(Mat, const PetscScalar[], InsertMode);
452: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscInt[], Mat *);
453: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
455: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
456: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], Mat *);
457: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
458: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
459: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscInt[], const PetscInt[]);
461: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, void *, Mat *);
462: PETSC_EXTERN PetscErrorCode MatCreateCentering(MPI_Comm, PetscInt, PetscInt, Mat *);
463: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat, Mat *);
464: PETSC_EXTERN PetscErrorCode MatCreateNormalHermitian(Mat, Mat *);
465: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat, Mat, Vec, Mat, Mat *);
466: PETSC_EXTERN PetscErrorCode MatLRCGetMats(Mat, Mat *, Mat *, Vec *, Mat *);
467: PETSC_EXTERN PetscErrorCode MatLRCSetMats(Mat, Mat, Mat, Vec, Mat);
468: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, ISLocalToGlobalMapping, ISLocalToGlobalMapping, Mat *);
469: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
470: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
472: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm, VecScatter, Mat *);
473: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat, VecScatter);
474: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat, VecScatter *);
475: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt *, Mat *);
476: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat, Mat);
477: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
478: typedef enum {
479: MAT_COMPOSITE_MERGE_RIGHT,
480: MAT_COMPOSITE_MERGE_LEFT
481: } MatCompositeMergeType;
482: PETSC_EXTERN PetscErrorCode MatCompositeSetMergeType(Mat, MatCompositeMergeType);
483: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm, PetscInt, const Mat *, Mat *);
484: /*E
485: MatCompositeType - indicates what type of `MATCOMPOSITE` is used
487: Values:
488: + `MAT_COMPOSITE_ADDITIVE` - sum of matrices (default)
489: - `MAT_COMPOSITE_MULTIPLICATIVE` - product of matrices
491: Level: beginner
493: .seealso: [](ch_matrices), `MATCOMPOSITE`, `MatCompositeSetType()`, `MatCompositeGetType()`
494: E*/
495: typedef enum {
496: MAT_COMPOSITE_ADDITIVE,
497: MAT_COMPOSITE_MULTIPLICATIVE
498: } MatCompositeType;
499: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat, MatCompositeType);
500: PETSC_EXTERN PetscErrorCode MatCompositeGetType(Mat, MatCompositeType *);
501: PETSC_EXTERN PetscErrorCode MatCompositeSetMatStructure(Mat, MatStructure);
502: PETSC_EXTERN PetscErrorCode MatCompositeGetMatStructure(Mat, MatStructure *);
503: PETSC_EXTERN PetscErrorCode MatCompositeGetNumberMat(Mat, PetscInt *);
504: PETSC_EXTERN PetscErrorCode MatCompositeGetMat(Mat, PetscInt, Mat *);
505: PETSC_EXTERN PetscErrorCode MatCompositeSetScalings(Mat, const PetscScalar *);
507: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm, PetscInt, const PetscInt[], MatType, Mat *);
508: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm, PetscInt, const PetscInt[], Mat *);
510: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat, Mat *);
511: PETSC_EXTERN PetscErrorCode MatTransposeGetMat(Mat, Mat *);
512: PETSC_EXTERN PetscErrorCode MatCreateHermitianTranspose(Mat, Mat *);
513: PETSC_EXTERN PetscErrorCode MatHermitianTransposeGetMat(Mat, Mat *);
514: PETSC_EXTERN PetscErrorCode MatNormalGetMat(Mat, Mat *);
515: PETSC_EXTERN PetscErrorCode MatNormalHermitianGetMat(Mat, Mat *);
516: PETSC_EXTERN PetscErrorCode MatCreateSubMatrixVirtual(Mat, IS, IS, Mat *);
517: PETSC_EXTERN PetscErrorCode MatSubMatrixVirtualUpdate(Mat, Mat, IS, IS);
518: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat, IS, IS, Mat *);
519: PETSC_EXTERN PetscErrorCode MatCreateConstantDiagonal(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar, Mat *);
520: PETSC_EXTERN PetscErrorCode MatCreateDiagonal(Vec, Mat *);
521: PETSC_EXTERN PetscErrorCode MatDiagonalGetDiagonal(Mat, Vec *);
522: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreDiagonal(Mat, Vec *);
523: PETSC_EXTERN PetscErrorCode MatDiagonalGetInverseDiagonal(Mat, Vec *);
524: PETSC_EXTERN PetscErrorCode MatDiagonalRestoreInverseDiagonal(Mat, Vec *);
526: #if defined(PETSC_HAVE_HYPRE)
527: PETSC_EXTERN PetscErrorCode MatHYPRESetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
528: #endif
530: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat, const char[]);
531: PETSC_EXTERN PetscErrorCode MatPythonGetType(Mat, const char *[]);
532: PETSC_EXTERN PetscErrorCode MatPythonCreate(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, const char[], Mat *);
534: PETSC_EXTERN PetscErrorCode MatResetPreallocation(Mat);
535: PETSC_EXTERN PetscErrorCode MatResetHash(Mat);
536: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
537: PETSC_EXTERN PetscErrorCode MatDestroy(Mat *);
538: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat, PetscObjectState *);
540: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
541: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
542: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
543: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat, Mat *);
544: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat, PetscScalar *);
545: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat, const PetscScalar **);
546: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockDiagonal(Mat, PetscInt, const PetscInt *, PetscScalar *);
547: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonalMat(Mat, Mat);
548: PETSC_EXTERN PetscErrorCode MatInvertVariableBlockEnvelope(Mat, MatReuse, Mat *);
549: PETSC_EXTERN PetscErrorCode MatComputeVariableBlockEnvelope(Mat);
551: PETSC_EXTERN PetscErrorCode MatSetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
552: PETSC_EXTERN PetscErrorCode MatSetValuesIS(Mat, IS, IS, const PetscScalar[], InsertMode);
553: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
554: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat, PetscInt, const PetscScalar[]);
555: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat, PetscInt, const PetscScalar[]);
556: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat, PetscInt, PetscInt, PetscInt[], const PetscScalar[]);
557: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat, PetscRandom);
559: /*S
560: MatStencil - Data structure (C struct) for storing information about rows and
561: columns of a matrix as indexed on an associated grid. These are arguments to `MatSetStencil()` and `MatSetBlockStencil()`
563: Level: beginner
565: Notes:
566: 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).
567: The c represents the degrees of freedom at each grid point (the dof argument to `DMDASetDOF()`). If dof is 1 then this entry is ignored.
569: For stencil access to vectors see `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`.
571: For staggered grids, see `DMStagStencil`
573: Fortran Note:
574: See `MatSetValuesStencil()` for details.
576: .seealso: [](ch_matrices), `Mat`, `MatSetValuesStencil()`, `MatSetStencil()`, `MatSetValuesBlockedStencil()`, `DMDAVecGetArray()`, `DMDAVecGetArrayF90()`,
577: `DMStagStencil`
578: S*/
579: typedef struct {
580: PetscInt k, j, i, c;
581: } MatStencil;
583: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
584: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat, PetscInt, const MatStencil[], PetscInt, const MatStencil[], const PetscScalar[], InsertMode);
585: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat, PetscInt, const PetscInt[], const PetscInt[], PetscInt);
587: /*E
588: MatAssemblyType - Indicates if the process of setting values into the matrix is complete, and the matrix is ready for use
590: Values:
591: + `MAT_FLUSH_ASSEMBLY` - you will continue to put values into the matrix
592: - `MAT_FINAL_ASSEMBLY` - you wish to use the matrix with the values currently inserted
594: Level: beginner
596: .seealso: [](ch_matrices), `Mat`, `MatSetValues`, `MatAssemblyBegin()`, `MatAssemblyEnd()`
597: E*/
598: typedef enum {
599: MAT_FLUSH_ASSEMBLY = 1,
600: MAT_FINAL_ASSEMBLY = 0
601: } MatAssemblyType;
603: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat, MatAssemblyType);
604: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat, MatAssemblyType);
605: PETSC_EXTERN PetscErrorCode MatAssembled(Mat, PetscBool *);
607: /*E
608: MatOption - Options that may be set for a matrix that indicate properties of the matrix or affect its behavior or storage
610: Level: beginner
612: Note:
613: See `MatSetOption()` for the use of the options
615: Developer Note:
616: Entries that are negative need not be called collectively by all processes.
618: .seealso: [](ch_matrices), `Mat`, `MatSetOption()`
619: E*/
620: typedef enum {
621: MAT_OPTION_MIN = -3,
622: MAT_UNUSED_NONZERO_LOCATION_ERR = -2,
623: MAT_ROW_ORIENTED = -1,
624: MAT_SYMMETRIC = 1,
625: MAT_STRUCTURALLY_SYMMETRIC = 2,
626: MAT_FORCE_DIAGONAL_ENTRIES = 3,
627: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
628: MAT_USE_HASH_TABLE = 5,
629: MAT_KEEP_NONZERO_PATTERN = 6,
630: MAT_IGNORE_ZERO_ENTRIES = 7,
631: MAT_USE_INODES = 8,
632: MAT_HERMITIAN = 9,
633: MAT_SYMMETRY_ETERNAL = 10,
634: MAT_NEW_NONZERO_LOCATION_ERR = 11,
635: MAT_IGNORE_LOWER_TRIANGULAR = 12,
636: MAT_ERROR_LOWER_TRIANGULAR = 13,
637: MAT_GETROW_UPPERTRIANGULAR = 14,
638: MAT_SPD = 15,
639: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
640: MAT_NO_OFF_PROC_ENTRIES = 17,
641: MAT_NEW_NONZERO_LOCATIONS = 18,
642: MAT_NEW_NONZERO_ALLOCATION_ERR = 19,
643: MAT_SUBSET_OFF_PROC_ENTRIES = 20,
644: MAT_SUBMAT_SINGLEIS = 21,
645: MAT_STRUCTURE_ONLY = 22,
646: MAT_SORTED_FULL = 23,
647: MAT_FORM_EXPLICIT_TRANSPOSE = 24,
648: MAT_STRUCTURAL_SYMMETRY_ETERNAL = 25,
649: MAT_SPD_ETERNAL = 26,
650: MAT_OPTION_MAX = 27
651: } MatOption;
653: PETSC_EXTERN const char *const *MatOptions;
654: PETSC_EXTERN PetscErrorCode MatSetOption(Mat, MatOption, PetscBool);
655: PETSC_EXTERN PetscErrorCode MatGetOption(Mat, MatOption, PetscBool *);
656: PETSC_EXTERN PetscErrorCode MatPropagateSymmetryOptions(Mat, Mat);
657: PETSC_EXTERN PetscErrorCode MatGetType(Mat, MatType *);
659: PETSC_EXTERN PetscErrorCode MatGetValues(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
660: PETSC_EXTERN PetscErrorCode MatGetRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
661: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat, PetscInt, PetscInt *, const PetscInt *[], const PetscScalar *[]);
662: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
663: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
664: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat, Vec, PetscInt);
665: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat, PetscScalar *[]);
666: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayRead(Mat, const PetscScalar *[]);
667: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArrayWrite(Mat, PetscScalar *[]);
668: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat, PetscScalar *[]);
669: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayRead(Mat, const PetscScalar *[]);
670: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArrayWrite(Mat, PetscScalar *[]);
671: PETSC_EXTERN PetscErrorCode MatSeqAIJGetMaxRowNonzeros(Mat, PetscInt *);
672: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
673: PETSC_EXTERN PetscErrorCode MatSeqAIJSetType(Mat, MatType);
674: PETSC_EXTERN PetscErrorCode MatSeqAIJKron(Mat, Mat, MatReuse, Mat *);
675: PETSC_EXTERN PetscErrorCode MatSeqAIJRegister(const char[], PetscErrorCode (*)(Mat, MatType, MatReuse, Mat *));
676: PETSC_EXTERN PetscFunctionList MatSeqAIJList;
677: PETSC_EXTERN PetscErrorCode MatSeqBAIJGetArray(Mat, PetscScalar *[]);
678: PETSC_EXTERN PetscErrorCode MatSeqBAIJRestoreArray(Mat, PetscScalar *[]);
679: PETSC_EXTERN PetscErrorCode MatSeqSBAIJGetArray(Mat, PetscScalar *[]);
680: PETSC_EXTERN PetscErrorCode MatSeqSBAIJRestoreArray(Mat, PetscScalar *[]);
681: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat, PetscScalar *[]);
682: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat, PetscScalar *[]);
683: PETSC_EXTERN PetscErrorCode MatDensePlaceArray(Mat, const PetscScalar[]);
684: PETSC_EXTERN PetscErrorCode MatDenseReplaceArray(Mat, const PetscScalar[]);
685: PETSC_EXTERN PetscErrorCode MatDenseResetArray(Mat);
686: PETSC_EXTERN PetscErrorCode MatDenseGetArrayRead(Mat, const PetscScalar *[]);
687: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayRead(Mat, const PetscScalar *[]);
688: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWrite(Mat, PetscScalar *[]);
689: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWrite(Mat, PetscScalar *[]);
690: PETSC_EXTERN PetscErrorCode MatDenseGetArrayAndMemType(Mat, PetscScalar *[], PetscMemType *);
691: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayAndMemType(Mat, PetscScalar *[]);
692: PETSC_EXTERN PetscErrorCode MatDenseGetArrayReadAndMemType(Mat, const PetscScalar *[], PetscMemType *);
693: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat, const PetscScalar *[]);
694: PETSC_EXTERN PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat, PetscScalar *[], PetscMemType *);
695: PETSC_EXTERN PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat, PetscScalar *[]);
696: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat, PetscInt *);
697: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat, PetscInt);
698: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat, PetscInt *, PetscInt *);
699: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat, PetscInt, PetscInt);
700: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat, Mat, Mat);
701: PETSC_EXTERN PetscErrorCode MatSetVariableBlockSizes(Mat, PetscInt, const PetscInt[]);
702: PETSC_EXTERN PetscErrorCode MatGetVariableBlockSizes(Mat, PetscInt *, const PetscInt *[]);
704: PETSC_EXTERN PetscErrorCode MatDenseGetColumn(Mat, PetscInt, PetscScalar *[]);
705: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumn(Mat, PetscScalar *[]);
706: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVec(Mat, PetscInt, Vec *);
707: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVec(Mat, PetscInt, Vec *);
708: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecRead(Mat, PetscInt, Vec *);
709: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecRead(Mat, PetscInt, Vec *);
710: PETSC_EXTERN PetscErrorCode MatDenseGetColumnVecWrite(Mat, PetscInt, Vec *);
711: PETSC_EXTERN PetscErrorCode MatDenseRestoreColumnVecWrite(Mat, PetscInt, Vec *);
712: PETSC_EXTERN PetscErrorCode MatDenseGetSubMatrix(Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
713: PETSC_EXTERN PetscErrorCode MatDenseRestoreSubMatrix(Mat, Mat *);
715: PETSC_EXTERN PetscErrorCode MatMult(Mat, Vec, Vec);
716: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat, Vec, Vec);
717: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat, Vec, Vec, Vec);
718: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat, Vec, Vec);
719: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat, Vec, Vec);
720: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat, Mat, PetscReal, PetscBool *);
721: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat, Mat, PetscReal, PetscBool *);
722: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat, Vec, Vec, Vec);
723: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat, Vec, Vec, Vec);
724: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat, Mat, Mat);
725: PETSC_EXTERN PetscErrorCode MatMatSolveTranspose(Mat, Mat, Mat);
726: PETSC_EXTERN PetscErrorCode MatMatTransposeSolve(Mat, Mat, Mat);
727: PETSC_EXTERN PetscErrorCode MatResidual(Mat, Vec, Vec, Vec);
729: /*E
730: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
731: its numerical values copied over or just its nonzero structure.
733: Values:
734: + `MAT_DO_NOT_COPY_VALUES` - Create a matrix using the same nonzero pattern as the original matrix,
735: with zeros for the numerical values
736: . `MAT_COPY_VALUES` - Create a matrix with the same nonzero pattern as the original matrix
737: and with the same numerical values.
738: - `MAT_SHARE_NONZERO_PATTERN` - Create a matrix that shares the nonzero structure with the previous matrix
739: and does not copy it, using zeros for the numerical values. The parent and
740: child matrices will share their index (i and j) arrays, and you cannot
741: insert new nonzero entries into either matrix
743: Level: beginner
745: Note:
746: Many matrix types (including `MATSEQAIJ`) do not support the `MAT_SHARE_NONZERO_PATTERN` optimization; in
747: this case the behavior is as if `MAT_DO_NOT_COPY_VALUES` has been specified.
749: .seealso: [](ch_matrices), `Mat`, `MatDuplicate()`
750: E*/
751: typedef enum {
752: MAT_DO_NOT_COPY_VALUES,
753: MAT_COPY_VALUES,
754: MAT_SHARE_NONZERO_PATTERN
755: } MatDuplicateOption;
757: PETSC_EXTERN PetscErrorCode MatConvert(Mat, MatType, MatReuse, Mat *);
758: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat, MatDuplicateOption, Mat *);
760: PETSC_EXTERN PetscErrorCode MatCopy(Mat, Mat, MatStructure);
761: PETSC_EXTERN PetscErrorCode MatView(Mat, PetscViewer);
762: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat, PetscReal, PetscBool *);
763: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat, PetscBool *);
764: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat, PetscReal, PetscBool *);
765: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat, PetscBool *, PetscBool *);
766: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat, PetscBool *, PetscBool *);
767: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetricKnown(Mat, PetscBool *, PetscBool *);
768: PETSC_EXTERN PetscErrorCode MatIsSPDKnown(Mat, PetscBool *, PetscBool *);
769: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat, PetscBool *, PetscInt *);
770: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
772: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
773: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
774: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
775: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
777: /*S
778: MatInfo - Context of matrix information, used with `MatGetInfo()`
780: Level: intermediate
782: Fortran Note:
783: Information is stored as a double-precision array of dimension `MAT_INFO_SIZE`
785: .seealso: [](ch_matrices), `Mat`, `MatGetInfo()`, `MatInfoType`
786: S*/
787: typedef struct {
788: PetscLogDouble block_size; /* block size */
789: PetscLogDouble nz_allocated, nz_used, nz_unneeded; /* number of nonzeros */
790: PetscLogDouble memory; /* memory allocated */
791: PetscLogDouble assemblies; /* number of matrix assemblies called */
792: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
793: PetscLogDouble fill_ratio_given, fill_ratio_needed; /* fill ratio for LU/ILU */
794: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
795: } MatInfo;
797: /*E
798: MatInfoType - Indicates if you want information about the local part of the matrix,
799: the entire parallel matrix or the maximum over all the local parts.
801: Values:
802: + `MAT_LOCAL` - values for each MPI process part of the matrix
803: . `MAT_GLOBAL_MAX` - maximum of each value over all MPI processes
804: - `MAT_GLOBAL_SUM` - sum of each value over all MPI processes
806: Level: beginner
808: .seealso: [](ch_matrices), `MatGetInfo()`, `MatInfo`
809: E*/
810: typedef enum {
811: MAT_LOCAL = 1,
812: MAT_GLOBAL_MAX = 2,
813: MAT_GLOBAL_SUM = 3
814: } MatInfoType;
815: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat, MatInfoType, MatInfo *);
816: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat, Vec);
817: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat, Vec, PetscInt[]);
818: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat, Vec, PetscInt[]);
819: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat, Vec, PetscInt[]);
820: PETSC_EXTERN PetscErrorCode MatGetRowSumAbs(Mat, Vec);
821: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat, Vec, PetscInt[]);
822: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat, Vec);
823: PETSC_EXTERN PetscErrorCode MatTranspose(Mat, MatReuse, Mat *);
824: PETSC_EXTERN PetscErrorCode MatTransposeSymbolic(Mat, Mat *);
825: PETSC_EXTERN PetscErrorCode MatTransposeSetPrecursor(Mat, Mat);
826: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat, MatReuse, Mat *);
827: PETSC_EXTERN PetscErrorCode MatPermute(Mat, IS, IS, Mat *);
828: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat, Vec, Vec);
829: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat, Vec, InsertMode);
831: PETSC_EXTERN PetscErrorCode MatEqual(Mat, Mat, PetscBool *);
832: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat, Mat, PetscInt, PetscBool *);
833: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat, Mat, PetscInt, PetscBool *);
834: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
835: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
836: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeEqual(Mat, Mat, PetscInt, PetscBool *);
837: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAddEqual(Mat, Mat, PetscInt, PetscBool *);
838: PETSC_EXTERN PetscErrorCode MatMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
839: PETSC_EXTERN PetscErrorCode MatTransposeMatMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
840: PETSC_EXTERN PetscErrorCode MatMatTransposeMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
841: PETSC_EXTERN PetscErrorCode MatPtAPMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
842: PETSC_EXTERN PetscErrorCode MatRARtMultEqual(Mat, Mat, Mat, PetscInt, PetscBool *);
843: PETSC_EXTERN PetscErrorCode MatIsLinear(Mat, PetscInt, PetscBool *);
845: PETSC_EXTERN PetscErrorCode MatNorm(Mat, NormType, PetscReal *);
846: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat, NormType, PetscReal *);
847: PETSC_EXTERN PetscErrorCode MatGetColumnSums(Mat, PetscScalar *);
848: PETSC_EXTERN PetscErrorCode MatGetColumnSumsRealPart(Mat, PetscReal *);
849: PETSC_EXTERN PetscErrorCode MatGetColumnSumsImaginaryPart(Mat, PetscReal *);
850: PETSC_EXTERN PetscErrorCode MatGetColumnMeans(Mat, PetscScalar *);
851: PETSC_EXTERN PetscErrorCode MatGetColumnMeansRealPart(Mat, PetscReal *);
852: PETSC_EXTERN PetscErrorCode MatGetColumnMeansImaginaryPart(Mat, PetscReal *);
853: PETSC_EXTERN PetscErrorCode MatGetColumnReductions(Mat, PetscInt, PetscReal *);
854: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
855: PETSC_EXTERN PetscErrorCode MatSetInf(Mat);
856: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
857: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat, IS, PetscScalar, Vec, Vec);
858: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
859: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat, PetscInt, const MatStencil[], PetscScalar, Vec, Vec);
860: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
861: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat, IS, PetscScalar, Vec, Vec);
863: PETSC_EXTERN PetscErrorCode MatGetSize(Mat, PetscInt *, PetscInt *);
864: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat, PetscInt *, PetscInt *);
865: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat, PetscInt *, PetscInt *);
866: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat, const PetscInt **);
867: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat, PetscInt *, PetscInt *);
868: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat, const PetscInt **);
869: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat, IS *, IS *);
871: PETSC_EXTERN PetscErrorCode MatCreateSubMatrices(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
872: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrices()", ) static inline PetscErrorCode MatGetSubMatrices(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
873: {
874: return MatCreateSubMatrices(mat, n, irow, icol, scall, submat);
875: }
876: PETSC_EXTERN PetscErrorCode MatCreateSubMatricesMPI(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
877: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatricesMPI()", ) static inline PetscErrorCode MatGetSubMatricesMPI(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[])
878: {
879: return MatCreateSubMatricesMPI(mat, n, irow, icol, scall, submat);
880: }
881: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt, Mat *[]);
882: PETSC_EXTERN PetscErrorCode MatDestroySubMatrices(PetscInt, Mat *[]);
883: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat, IS, IS, MatReuse, Mat *);
884: PETSC_DEPRECATED_FUNCTION(3, 8, 0, "MatCreateSubMatrix()", ) static inline PetscErrorCode MatGetSubMatrix(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat)
885: {
886: return MatCreateSubMatrix(mat, isrow, iscol, cll, newmat);
887: }
888: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat, IS, IS, Mat *);
889: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat, IS, IS, Mat *);
890: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat, Mat *);
891: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat *);
893: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm, Mat, PetscInt, PetscInt, MatReuse, Mat *);
894: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm, Mat, PetscInt, PetscInt, Mat *);
895: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat, Mat);
896: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat, MatReuse, Mat *);
897: PETSC_EXTERN PetscErrorCode MatAIJGetLocalMat(Mat, Mat *);
898: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat, MatReuse, IS *, IS *, Mat *);
899: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatMerge(Mat, MatReuse, IS *, Mat *);
900: PETSC_EXTERN PetscErrorCode MatMPIAIJGetNumberNonzeros(Mat, PetscCount *);
901: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat, Mat, MatReuse, IS *, IS *, Mat *);
902: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *, const PetscInt *[]);
904: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat, PetscInt, IS[], PetscInt);
905: PETSC_EXTERN PetscErrorCode MatIncreaseOverlapSplit(Mat mat, PetscInt n, IS is[], PetscInt ov);
906: PETSC_EXTERN PetscErrorCode MatMPIAIJSetUseScalableIncreaseOverlap(Mat, PetscBool);
908: PETSC_EXTERN PetscErrorCode MatMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
910: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
911: PETSC_EXTERN PetscErrorCode MatGalerkin(Mat, Mat, Mat, MatReuse, PetscReal, Mat *);
913: PETSC_EXTERN PetscErrorCode MatPtAP(Mat, Mat, MatReuse, PetscReal, Mat *);
914: PETSC_EXTERN PetscErrorCode MatRARt(Mat, Mat, MatReuse, PetscReal, Mat *);
916: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat, Mat, MatReuse, PetscReal, Mat *);
917: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat, Mat, MatReuse, PetscReal, Mat *);
919: PETSC_EXTERN PetscErrorCode MatAXPY(Mat, PetscScalar, Mat, MatStructure);
920: PETSC_EXTERN PetscErrorCode MatAYPX(Mat, PetscScalar, Mat, MatStructure);
922: PETSC_EXTERN PetscErrorCode MatScale(Mat, PetscScalar);
923: PETSC_EXTERN PetscErrorCode MatShift(Mat, PetscScalar);
925: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping, ISLocalToGlobalMapping);
926: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
927: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat, PetscLayout *, PetscLayout *);
928: PETSC_EXTERN PetscErrorCode MatSetLayouts(Mat, PetscLayout, PetscLayout);
929: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
930: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
931: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat, PetscInt, const PetscInt[], PetscScalar, Vec, Vec);
932: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat, IS, PetscScalar, Vec, Vec);
933: PETSC_EXTERN PetscErrorCode MatGetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], PetscScalar[]);
934: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
935: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
937: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat, PetscInt, PetscInt);
938: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat, PetscInt *, PetscInt *, PetscInt *, PetscInt *);
940: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat, Vec, Vec);
941: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat, Vec, Vec, Vec);
942: PETSC_EXTERN PetscErrorCode MatRestrict(Mat, Vec, Vec);
943: PETSC_EXTERN PetscErrorCode MatMatInterpolate(Mat, Mat, Mat *);
944: PETSC_EXTERN PetscErrorCode MatMatInterpolateAdd(Mat, Mat, Mat, Mat *);
945: PETSC_EXTERN PetscErrorCode MatMatRestrict(Mat, Mat, Mat *);
946: PETSC_EXTERN PetscErrorCode MatCreateVecs(Mat, Vec *, Vec *);
947: PETSC_DEPRECATED_FUNCTION(3, 6, 0, "MatCreateVecs()", ) static inline PetscErrorCode MatGetVecs(Mat mat, Vec *x, Vec *y)
948: {
949: return MatCreateVecs(mat, x, y);
950: }
951: PETSC_EXTERN PetscErrorCode MatCreateRedundantMatrix(Mat, PetscInt, MPI_Comm, MatReuse, Mat *);
952: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat, MPI_Comm, MatReuse, Mat *);
953: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat, IS *);
954: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat, IS *);
955: PETSC_EXTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
957: PETSC_EXTERN PetscErrorCode MatCopyHashToXAIJ(Mat A, Mat B);
958: /*@C
959: MatSetValue - Set a single entry into a matrix.
961: Not Collective
963: Input Parameters:
964: + mat - the matrix
965: . i - the row location of the entry
966: . j - the column location of the entry
967: . va - the value to insert
968: - mode - either `INSERT_VALUES` or `ADD_VALUES`
970: Level: beginner
972: Notes:
973: This value may be cached, so `MatAssemblyBegin()` and `MatAssemblyEnd()`
974: MUST be called after all calls to `MatSetValue()` have been completed.
976: For efficiency one should use `MatSetValues()` and set several values simultaneously.
978: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `InsertMode`, `MatGetValue()`, `MatSetValues()`,
979: `MatSetValueLocal()`, `MatSetValuesLocal()`
980: @*/
981: static inline PetscErrorCode MatSetValue(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
982: {
983: return MatSetValues(mat, 1, &i, 1, &j, &va, mode);
984: }
986: /*@C
987: MatGetValue - Gets a single value from a matrix
989: Not Collective; can only return a value owned by the given process
991: Input Parameters:
992: + mat - the matrix
993: . row - the row location of the entry
994: - col - the column location of the entry
996: Output Parameter:
997: . va - the value
999: Level: advanced
1001: Notes:
1002: The matrix must have been assembled with `MatAssemblyBegin()` and `MatAssemblyEnd()` before this call
1004: For efficiency one should use `MatGetValues()` and get several values simultaneously.
1006: See notes for `MatGetValues()`.
1008: .seealso: [](ch_matrices), `Mat`, `MatAssemblyBegin()`, `MatAssemblyEnd()`, `MatSetValue()`, `MatGetValueLocal()`, `MatGetValues()`
1009: @*/
1010: static inline PetscErrorCode MatGetValue(Mat mat, PetscInt row, PetscInt col, PetscScalar *va)
1011: {
1012: return MatGetValues(mat, 1, &row, 1, &col, va);
1013: }
1015: /*@C
1016: MatSetValueLocal - Inserts or adds a single value into a matrix, using a local numbering of the nodes.
1018: Not Collective
1020: Input Parameters:
1021: + mat - the matrix
1022: . i - the row location of the entry
1023: . j - the column location of the entry
1024: . va - the value to insert
1025: - mode - either `INSERT_VALUES` or `ADD_VALUES`
1027: Level: intermediate
1029: Notes:
1030: For efficiency one should use `MatSetValuesLocal()` and set several values simultaneously.
1032: See notes for `MatSetValuesLocal()` for additional information on when and how this function can be used.
1034: .seealso: [](ch_matrices), `MatSetValue()`, `MatSetValuesLocal()`
1035: @*/
1036: static inline PetscErrorCode MatSetValueLocal(Mat mat, PetscInt i, PetscInt j, PetscScalar va, InsertMode mode)
1037: {
1038: return MatSetValuesLocal(mat, 1, &i, 1, &j, &va, mode);
1039: }
1041: /*MC
1042: MatPreallocateBegin - Begins the block of code that will count the number of nonzeros per
1043: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1045: Synopsis:
1046: #include <petscmat.h>
1047: PetscErrorCode MatPreallocateBegin(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
1049: Collective
1051: Input Parameters:
1052: + comm - the communicator that will share the eventually allocated matrix
1053: . nrows - the number of LOCAL rows in the matrix
1054: - ncols - the number of LOCAL columns in the matrix
1056: Output Parameters:
1057: + dnz - the array that will be passed to the matrix preallocation routines
1058: - onz - the other array passed to the matrix preallocation routines
1060: Level: deprecated (since v3.19)
1062: Notes:
1063: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1064: the use of this routine
1066: This is a macro that handles its own error checking, it does not return an error code.
1068: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1070: Developer Note:
1071: This is a MACRO, not a function, because it has a leading { that is closed by `PetscPreallocateFinalize()`.
1073: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1074: `MatPreallocateSymmetricSetLocalBlock()`
1075: M*/
1076: #define MatPreallocateBegin(comm, nrows, ncols, dnz, onz) \
1077: do { \
1078: PetscInt __nrows = (nrows), __ncols = (ncols), __rstart, __end = 0; \
1079: PetscInt PETSC_UNUSED __start; \
1080: PetscCall(PetscCalloc2(__nrows, &(dnz), __nrows, &(onz))); \
1081: PetscCallMPI(MPI_Scan(&__ncols, &__end, 1, MPIU_INT, MPI_SUM, comm)); \
1082: __start = __end - __ncols; \
1083: (void)__start; \
1084: PetscCallMPI(MPI_Scan(&__nrows, &__rstart, 1, MPIU_INT, MPI_SUM, comm)); \
1085: __rstart -= __nrows
1087: #define MatPreallocateInitialize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateBegin()", ) MatPreallocateBegin(__VA_ARGS__)
1089: /*MC
1090: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1091: inserted using a local number of the rows and columns
1093: Synopsis:
1094: #include <petscmat.h>
1095: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1097: Not Collective
1099: Input Parameters:
1100: + map - the row mapping from local numbering to global numbering
1101: . nrows - the number of rows indicated
1102: . rows - the indices of the rows
1103: . cmap - the column mapping from local to global numbering
1104: . ncols - the number of columns in the matrix
1105: . cols - the columns indicated
1106: . dnz - the array that will be passed to the matrix preallocation routines
1107: - onz - the other array passed to the matrix preallocation routines
1109: Level: deprecated (since v3.19)
1111: Notes:
1112: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1113: the use of this routine
1115: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1117: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1118: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocalRemoveDups()`
1119: M*/
1120: #define MatPreallocateSetLocal(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1121: 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));)
1123: /*MC
1124: MatPreallocateSetLocalRemoveDups - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1125: inserted using a local number of the rows and columns. This version removes any duplicate columns in cols
1127: Synopsis:
1128: #include <petscmat.h>
1129: PetscErrorCode MatPreallocateSetLocalRemoveDups(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1131: Not Collective
1133: Input Parameters:
1134: + map - the row mapping from local numbering to global numbering
1135: . nrows - the number of rows indicated
1136: . rows - the indices of the rows (these values are mapped to the global values)
1137: . cmap - the column mapping from local to global numbering
1138: . ncols - the number of columns in the matrix (this value will be changed if duplicate columns are found)
1139: . cols - the columns indicated (these values are mapped to the global values, they are then sorted and duplicates removed)
1140: . dnz - the array that will be passed to the matrix preallocation routines
1141: - onz - the other array passed to the matrix preallocation routines
1143: Level: deprecated (since v3.19)
1145: Notes:
1146: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1147: the use of this routine
1149: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1151: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1152: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1153: M*/
1154: #define MatPreallocateSetLocalRemoveDups(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1155: 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));)
1157: /*MC
1158: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1159: inserted using a local number of the rows and columns
1161: Synopsis:
1162: #include <petscmat.h>
1163: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1165: Not Collective
1167: Input Parameters:
1168: + map - the row mapping from local numbering to global numbering
1169: . nrows - the number of rows indicated
1170: . rows - the indices of the rows
1171: . cmap - the column mapping from local to global numbering
1172: . ncols - the number of columns in the matrix
1173: . cols - the columns indicated
1174: . dnz - the array that will be passed to the matrix preallocation routines
1175: - onz - the other array passed to the matrix preallocation routines
1177: Level: deprecated (since v3.19)
1179: Notes:
1180: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1181: the use of this routine
1183: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1185: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1186: `MatPreallocateBegin()`, `MatPreallocateSymmetricSetLocalBlock()`
1187: M*/
1188: #define MatPreallocateSetLocalBlock(rmap, nrows, rows, cmap, ncols, cols, dnz, onz) \
1189: 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));)
1191: /*MC
1192: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1193: inserted using a local number of the rows and columns
1195: Synopsis:
1196: #include <petscmat.h>
1197: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1199: Not Collective
1201: Input Parameters:
1202: + map - the mapping between local numbering and global numbering
1203: . nrows - the number of rows indicated
1204: . rows - the indices of the rows
1205: . ncols - the number of columns in the matrix
1206: . cols - the columns indicated
1207: . dnz - the array that will be passed to the matrix preallocation routines
1208: - onz - the other array passed to the matrix preallocation routines
1210: Level: deprecated (since v3.19)
1212: Notes:
1213: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1214: the use of this routine
1216: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1218: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`
1219: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1220: M*/
1221: #define MatPreallocateSymmetricSetLocalBlock(map, nrows, rows, ncols, cols, dnz, onz) \
1222: 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));)
1224: /*MC
1225: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1226: inserted using a local number of the rows and columns
1228: Synopsis:
1229: #include <petscmat.h>
1230: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1232: Not Collective
1234: Input Parameters:
1235: + row - the row
1236: . ncols - the number of columns in the matrix
1237: - cols - the columns indicated
1239: Output Parameters:
1240: + dnz - the array that will be passed to the matrix preallocation routines
1241: - onz - the other array passed to the matrix preallocation routines
1243: Level: deprecated (since v3.19)
1245: Notes:
1246: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1247: the use of this routine
1249: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1251: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1253: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`
1254: `MatPreallocateBegin()`, `MatPreallocateSetLocal()`
1255: M*/
1256: #define MatPreallocateSet(row, nc, cols, dnz, onz) \
1257: 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) { \
1258: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
1259: else if (dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1260: })
1262: /*MC
1263: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
1264: inserted using a local number of the rows and columns
1266: Synopsis:
1267: #include <petscmat.h>
1268: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
1270: Not Collective
1272: Input Parameters:
1273: + nrows - the number of rows indicated
1274: . rows - the indices of the rows
1275: . ncols - the number of columns in the matrix
1276: . cols - the columns indicated
1277: . dnz - the array that will be passed to the matrix preallocation routines
1278: - onz - the other array passed to the matrix preallocation routines
1280: Level: deprecated (since v3.19)
1282: Notes:
1283: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1284: the use of this routine
1286: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1288: This is a MACRO, not a function, because it uses variables declared in MatPreallocateBegin().
1290: .seealso: [](ch_matrices), `MatPreallocateEnd()`, `MatPreallocateSet()`, `MatPreallocateBegin()`,
1291: `MatPreallocateSymmetricSetLocalBlock()`, `MatPreallocateSetLocal()`
1292: M*/
1293: #define MatPreallocateSymmetricSetBlock(row, nc, cols, dnz, onz) \
1294: PetscMacroReturnStandard(for (PetscInt __i = 0; __i < nc; __i++) { \
1295: if (cols[__i] >= __end) onz[row - __rstart]++; \
1296: else if (cols[__i] >= row && dnz[row - __rstart] < __ncols) dnz[row - __rstart]++; \
1297: })
1299: /*MC
1300: MatPreallocateLocation - An alternative to MatPreallocateSet() that puts the nonzero locations into the matrix if it exists
1302: Synopsis:
1303: #include <petscmat.h>
1304: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
1306: Not Collective
1308: Input Parameters:
1309: + A - matrix
1310: . row - row where values exist (must be local to this process)
1311: . ncols - number of columns
1312: . cols - columns with nonzeros
1313: . dnz - the array that will be passed to the matrix preallocation routines
1314: - onz - the other array passed to the matrix preallocation routines
1316: Level: deprecated (since v3.19)
1318: Notes:
1319: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1320: the use of this routine
1322: Do not malloc or free `dnz` and `onz` that is handled internally by these routines
1324: Developer Note:
1325: This is a MACRO, not a function, because it uses a bunch of variables private to the MatPreallocation.... routines.
1327: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1328: `MatPreallocateSymmetricSetLocalBlock()`
1329: M*/
1330: #define MatPreallocateLocation(A, row, ncols, cols, dnz, onz) (A ? MatSetValues(A, 1, &row, ncols, cols, NULL, INSERT_VALUES) : MatPreallocateSet(row, ncols, cols, dnz, onz))
1332: /*MC
1333: MatPreallocateEnd - Ends the block of code that will count the number of nonzeros per
1334: row in a matrix providing the data that one can use to correctly preallocate the matrix.
1336: Synopsis:
1337: #include <petscmat.h>
1338: PetscErrorCode MatPreallocateEnd(PetscInt *dnz, PetscInt *onz)
1340: Collective
1342: Input Parameters:
1343: + dnz - the array that was be passed to the matrix preallocation routines
1344: - onz - the other array passed to the matrix preallocation routines
1346: Level: deprecated (since v3.19)
1348: Notes:
1349: This routine is no longer needed since assembling matrices without explicit preallocation will not be slower than
1350: the use of this routine
1352: Do not malloc or free `dnz` and `onz`, that is handled internally by these routines
1354: Developer Note:
1355: This is a MACRO, not a function, because it closes the { started in MatPreallocateBegin().
1357: .seealso: [](ch_matrices), `MatPreallocateBegin()`, `MatPreallocateSet()`, `MatPreallocateSymmetricSetBlock()`, `MatPreallocateSetLocal()`,
1358: `MatPreallocateSymmetricSetLocalBlock()`
1359: M*/
1360: #define MatPreallocateEnd(dnz, onz) \
1361: PetscCall(PetscFree2(dnz, onz)); \
1362: } \
1363: while (0)
1365: #define MatPreallocateFinalize(...) PETSC_DEPRECATED_MACRO(3, 18, 0, "MatPreallocateEnd()", ) MatPreallocateEnd(__VA_ARGS__)
1367: /* Routines unique to particular data structures */
1368: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat, void *);
1370: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat, IS *, IS *);
1371: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat, PetscInt *, PetscInt *[], PetscInt *);
1373: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat, PetscInt[]);
1374: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat, PetscInt[]);
1375: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1376: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1377: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *);
1378: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], Mat *, PetscInt, PetscBool);
1380: #define MAT_SKIP_ALLOCATION -4
1382: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1383: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1384: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat, PetscInt, const PetscInt[]);
1385: PETSC_EXTERN PetscErrorCode MatSeqAIJSetTotalPreallocation(Mat, PetscInt);
1387: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1388: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1389: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
1390: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1391: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1392: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
1393: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]);
1394: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat, PetscInt[], PetscInt[], PetscInt[]);
1395: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeq(Mat, Mat *);
1396: PETSC_EXTERN PetscErrorCode MatMPIAdjToSeqRankZero(Mat, Mat *);
1397: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat, PetscScalar[]);
1398: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat, PetscScalar[]);
1399: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1400: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat, Mat *, Mat *, const PetscInt *[]);
1401: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat, Mat *);
1403: PETSC_EXTERN PetscErrorCode MatDenseGetLDA(Mat, PetscInt *);
1404: PETSC_EXTERN PetscErrorCode MatDenseSetLDA(Mat, PetscInt);
1405: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatDenseSetLDA()", ) static inline PetscErrorCode MatSeqDenseSetLDA(Mat A, PetscInt lda)
1406: {
1407: return MatDenseSetLDA(A, lda);
1408: }
1409: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat, Mat *);
1411: PETSC_EXTERN PetscErrorCode MatBlockMatSetPreallocation(Mat, PetscInt, PetscInt, const PetscInt[]);
1413: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
1414: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
1416: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat, IS *);
1417: PETSC_EXTERN PetscErrorCode MatFindZeroRows(Mat, IS *);
1418: /*
1419: These routines are not usually accessed directly, rather solving is
1420: done through the KSP and PC interfaces.
1421: */
1423: /*J
1424: MatOrderingType - String with the name of a PETSc matrix ordering. These orderings are most commonly used
1425: to reduce fill in sparse factorizations.
1427: Level: beginner
1429: Notes:
1430: If `MATORDERINGEXTERNAL` is used then PETSc does not compute an ordering and instead the external factorization solver package called utilizes one
1431: of its own.
1433: There is no `MatOrdering` object, the ordering is obtained directly from the matrix with `MatGetOrdering()`
1435: Developer Note:
1436: This API should be converted to an API similar to those for `MatColoring` and `MatPartitioning`
1438: .seealso: [](ch_matrices), [](sec_graph), `MatGetFactor()`, `MatGetOrdering()`, `MatColoringType`, `MatPartitioningType`, `MatCoarsenType`, `MatCoarsenType`,
1439: `PCFactorSetOrderingType()`
1440: J*/
1441: typedef const char *MatOrderingType;
1442: #define MATORDERINGNATURAL "natural"
1443: #define MATORDERINGND "nd"
1444: #define MATORDERING1WD "1wd"
1445: #define MATORDERINGRCM "rcm"
1446: #define MATORDERINGQMD "qmd"
1447: #define MATORDERINGROWLENGTH "rowlength"
1448: #define MATORDERINGWBM "wbm"
1449: #define MATORDERINGSPECTRAL "spectral"
1450: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
1451: #define MATORDERINGMETISND "metisnd" /* only works if METIS is installed with PETSc */
1452: #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 */
1453: #define MATORDERINGEXTERNAL "external" /* uses an ordering type internal to the factorization package */
1455: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat, MatOrderingType, IS *, IS *);
1456: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList *);
1457: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[], PetscErrorCode (*)(Mat, MatOrderingType, IS *, IS *));
1458: PETSC_EXTERN PetscFunctionList MatOrderingList;
1460: #include "petscmatcoarsen.h"
1462: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat, PetscReal, IS, IS);
1463: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat, PetscReal, PetscBool, Mat *);
1465: PETSC_EXTERN PetscErrorCode MatFactorGetPreferredOrdering(Mat, MatFactorType, MatOrderingType *);
1467: /*S
1468: MatFactorShiftType - Type of numeric shift used for factorizations
1470: Values:
1471: + `MAT_SHIFT_NONE` - do not shift the matrix diagonal entries
1472: . `MAT_SHIFT_NONZERO` - shift the entries to be non-zero
1473: . `MAT_SHIFT_POSITIVE_DEFINITE` - shift the entries to force the factorization to be positive definite
1474: - `MAT_SHIFT_INBLOCKS` - only shift the factors inside the small dense diagonal blocks of the matrix, for example with `MATBAIJ`
1476: Level: intermediate
1478: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `PCFactorSetShiftType()`
1479: S*/
1480: typedef enum {
1481: MAT_SHIFT_NONE,
1482: MAT_SHIFT_NONZERO,
1483: MAT_SHIFT_POSITIVE_DEFINITE,
1484: MAT_SHIFT_INBLOCKS
1485: } MatFactorShiftType;
1486: PETSC_EXTERN const char *const MatFactorShiftTypes[];
1487: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
1489: /*S
1490: MatFactorError - indicates what type of error was generated in a matrix factorization
1492: Values:
1493: + `MAT_FACTOR_NOERROR` - there was no error during the factorization
1494: . `MAT_FACTOR_STRUCT_ZEROPIVOT` - there was a missing entry in a diagonal location of the matrix
1495: . `MAT_FACTOR_NUMERIC_ZEROPIVOT` - there was a (near) zero pivot during the factorization
1496: . `MAT_FACTOR_OUTMEMORY` - the factorization has run out of memory
1497: - `MAT_FACTOR_OTHER` - some other error has occurred.
1499: Level: intermediate
1501: Note:
1502: When a factorization is done in a preconditioner `PC` the error may be propagated up to a `PCFailedReason` or a `KSPConvergedReason`
1504: .seealso: [](ch_matrices), `Mat`, `MatGetFactor()`, `MatFactorGetError()`, `MatFactorGetErrorZeroPivot()`, `MatFactorClearError()`,
1505: `PCFailedReason`, `PCGetFailedReason()`, `KSPConvergedReason`
1506: S*/
1507: typedef enum {
1508: MAT_FACTOR_NOERROR,
1509: MAT_FACTOR_STRUCT_ZEROPIVOT,
1510: MAT_FACTOR_NUMERIC_ZEROPIVOT,
1511: MAT_FACTOR_OUTMEMORY,
1512: MAT_FACTOR_OTHER
1513: } MatFactorError;
1515: PETSC_EXTERN PetscErrorCode MatFactorGetError(Mat, MatFactorError *);
1516: PETSC_EXTERN PetscErrorCode MatFactorClearError(Mat);
1517: PETSC_EXTERN PetscErrorCode MatFactorGetErrorZeroPivot(Mat, PetscReal *, PetscInt *);
1519: /*S
1520: MatFactorInfo - Data passed into the matrix factorization routines, and information about the resulting factorization
1522: Level: developer
1524: Note:
1525: You can use `MatFactorInfoInitialize()` to set default values.
1527: Fortran Note:
1528: The data is available in a double precision arrays of size `MAT_FACTORINFO_SIZE`
1530: .seealso: [](ch_matrices), `Mat`, `MatInfo`, `MatGetFactor()`, `MatLUFactorSymbolic()`, `MatILUFactorSymbolic()`, `MatCholeskyFactorSymbolic()`,
1531: `MatICCFactorSymbolic()`, `MatICCFactor()`, `MatFactorInfoInitialize()`
1532: S*/
1533: typedef struct {
1534: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1535: PetscReal usedt;
1536: PetscReal dt; /* drop tolerance */
1537: PetscReal dtcol; /* tolerance for pivoting */
1538: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1539: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1540: PetscReal levels; /* ICC/ILU(levels) */
1541: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1542: factorization may be faster if do not pivot */
1543: PetscReal zeropivot; /* pivot is called zero if less than this */
1544: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1545: PetscReal shiftamount; /* how large the shift is */
1546: } MatFactorInfo;
1548: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo *);
1549: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat, IS, const MatFactorInfo *);
1550: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1551: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat, Mat, const MatFactorInfo *);
1552: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat, IS, IS, const MatFactorInfo *);
1553: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat, IS, IS, const MatFactorInfo *);
1554: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1555: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat, Mat, IS, IS, const MatFactorInfo *);
1556: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1557: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat, IS, const MatFactorInfo *);
1558: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat, Mat, const MatFactorInfo *);
1559: PETSC_EXTERN PetscErrorCode MatQRFactor(Mat, IS, const MatFactorInfo *);
1560: PETSC_EXTERN PetscErrorCode MatQRFactorSymbolic(Mat, Mat, IS, const MatFactorInfo *);
1561: PETSC_EXTERN PetscErrorCode MatQRFactorNumeric(Mat, Mat, const MatFactorInfo *);
1562: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat, PetscInt *, PetscInt *, PetscInt *);
1563: PETSC_EXTERN PetscErrorCode MatSolve(Mat, Vec, Vec);
1564: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat, Vec, Vec);
1565: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat, Vec, Vec);
1566: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat, Vec, Vec, Vec);
1567: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat, Vec, Vec);
1568: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat, Vec, Vec, Vec);
1569: PETSC_EXTERN PetscErrorCode MatSolves(Mat, Vecs, Vecs);
1570: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1572: typedef enum {
1573: MAT_FACTOR_SCHUR_UNFACTORED,
1574: MAT_FACTOR_SCHUR_FACTORED,
1575: MAT_FACTOR_SCHUR_INVERTED
1576: } MatFactorSchurStatus;
1577: PETSC_EXTERN PetscErrorCode MatFactorSetSchurIS(Mat, IS);
1578: PETSC_EXTERN PetscErrorCode MatFactorGetSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1579: PETSC_EXTERN PetscErrorCode MatFactorRestoreSchurComplement(Mat, Mat *, MatFactorSchurStatus);
1580: PETSC_EXTERN PetscErrorCode MatFactorInvertSchurComplement(Mat);
1581: PETSC_EXTERN PetscErrorCode MatFactorCreateSchurComplement(Mat, Mat *, MatFactorSchurStatus *);
1582: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplement(Mat, Vec, Vec);
1583: PETSC_EXTERN PetscErrorCode MatFactorSolveSchurComplementTranspose(Mat, Vec, Vec);
1584: PETSC_EXTERN PetscErrorCode MatFactorFactorizeSchurComplement(Mat);
1586: PETSC_EXTERN PetscErrorCode MatSeqDenseInvert(Mat);
1587: /*E
1588: MatSORType - What type of (S)SOR to perform
1590: Values:
1591: + `SOR_FORWARD_SWEEP` - do a sweep from the first row of the matrix to the last
1592: . `SOR_BACKWARD_SWEEP` - do a sweep from the last row to the first
1593: . `SOR_SYMMETRIC_SWEEP` - do a sweep from the first row to the last and then back to the first
1594: . `SOR_LOCAL_FORWARD_SWEEP` - each MPI process does its own forward sweep with no communication
1595: . `SOR_LOCAL_BACKWARD_SWEEP` - each MPI process does its own backward sweep with no communication
1596: . `SOR_LOCAL_SYMMETRIC_SWEEP` - each MPI process does its own symmetric sweep with no communication
1597: . `SOR_ZERO_INITIAL_GUESS` - indicates the initial solution is zero so the sweep can avoid unneeded computation
1598: . `SOR_EISENSTAT` - apply the Eisentat application of SOR, see `PCEISENSTAT`
1599: . `SOR_APPLY_UPPER` - multiply by the upper triangular portion of the matrix
1600: - `SOR_APPLY_LOWER` - multiply by the lower triangular portion of the matrix
1602: Level: beginner
1604: Note:
1605: These may be bitwise ORd together
1607: Developer Note:
1608: Since `MatSORType` may be bitwise ORd together, so do not change the numerical values below
1610: .seealso: [](ch_matrices), `MatSOR()`
1611: E*/
1612: typedef enum {
1613: SOR_FORWARD_SWEEP = 1,
1614: SOR_BACKWARD_SWEEP = 2,
1615: SOR_SYMMETRIC_SWEEP = 3,
1616: SOR_LOCAL_FORWARD_SWEEP = 4,
1617: SOR_LOCAL_BACKWARD_SWEEP = 8,
1618: SOR_LOCAL_SYMMETRIC_SWEEP = 12,
1619: SOR_ZERO_INITIAL_GUESS = 16,
1620: SOR_EISENSTAT = 32,
1621: SOR_APPLY_UPPER = 64,
1622: SOR_APPLY_LOWER = 128
1623: } MatSORType;
1624: PETSC_EXTERN PetscErrorCode MatSOR(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
1626: /*S
1627: MatColoring - Object for managing the coloring of matrices.
1629: Level: beginner
1631: Notes:
1632: Coloring of matrices can be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the
1633: matrix comes from via `DMCreateColoring()`. In general using the mesh produces a more optimal coloring (fewer colors).
1635: Once a coloring is available `MatFDColoringCreate()` creates an object that can be used to efficiently compute Jacobians using that coloring. This
1636: same object can also be used to efficiently convert data created by Automatic Differentiation tools to PETSc sparse matrices.
1638: .seealso: [](ch_matrices), [](sec_graph), `MatFDColoringCreate()`, `MatColoringWeightType`, `ISColoring`, `MatFDColoring`, `DMCreateColoring()`, `MatColoringCreate()`,
1639: `MatPartitioning`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`, `MatColoringSetWeightType()`,
1640: `MatColoringSetWeights()`, `MatCoarsenType`, `MatCoarsen`
1641: S*/
1642: typedef struct _p_MatColoring *MatColoring;
1644: /*J
1645: MatColoringType - String with the name of a PETSc matrix coloring
1647: Level: beginner
1649: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatFDColoringCreate()`, `MatColoringSetType()`, `MatColoring`
1650: J*/
1651: typedef const char *MatColoringType;
1652: #define MATCOLORINGJP "jp"
1653: #define MATCOLORINGPOWER "power"
1654: #define MATCOLORINGNATURAL "natural"
1655: #define MATCOLORINGSL "sl"
1656: #define MATCOLORINGLF "lf"
1657: #define MATCOLORINGID "id"
1658: #define MATCOLORINGGREEDY "greedy"
1660: /*E
1661: MatColoringWeightType - Type of weight scheme used for the coloring algorithm
1663: Values:
1664: + `MAT_COLORING_RANDOM` - Random weights
1665: . `MAT_COLORING_LEXICAL` - Lexical weighting based upon global numbering.
1666: - `MAT_COLORING_LF` - Last-first weighting.
1668: Level: intermediate
1670: .seealso: [](ch_matrices), `MatColoring`, `MatColoringCreate()`, `MatColoringSetWeightType()`, `MatColoringSetWeights()`
1671: E*/
1672: typedef enum {
1673: MAT_COLORING_WEIGHT_RANDOM,
1674: MAT_COLORING_WEIGHT_LEXICAL,
1675: MAT_COLORING_WEIGHT_LF,
1676: MAT_COLORING_WEIGHT_SL
1677: } MatColoringWeightType;
1679: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat, MatColoring *);
1680: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat, PetscInt, PetscInt *);
1681: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring *);
1682: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring, PetscViewer);
1683: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring, MatColoringType);
1684: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1685: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring, PetscInt);
1686: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring, PetscInt *);
1687: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring, PetscInt);
1688: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring, PetscInt *);
1689: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring, ISColoring *);
1690: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[], PetscErrorCode (*)(MatColoring));
1691: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat, PetscInt, PetscInt, ISColoringValue[], ISColoring *);
1692: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring, MatColoringWeightType);
1693: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring, PetscReal *, PetscInt *);
1694: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring, PetscReal **, PetscInt **lperm);
1695: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring, ISColoring);
1696: PETSC_DEPRECATED_FUNCTION(3, 10, 0, "MatColoringTest()", ) static inline PetscErrorCode MatColoringTestValid(MatColoring matcoloring, ISColoring iscoloring)
1697: {
1698: return MatColoringTest(matcoloring, iscoloring);
1699: }
1700: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat, ISColoring);
1702: /*S
1703: MatFDColoring - Object for computing a sparse Jacobian via finite differences with coloring
1705: Level: beginner
1707: Notes:
1708: This object is creating utilizing a coloring provided by the `MatColoring` object or `DMCreateColoring()`
1710: The `SNES` option `-snes_fd_coloring` will cause the Jacobian needed by `SNES` to be computed via a use of this object
1712: .seealso: [](ch_matrices), `Mat`, `MatFDColoringCreate()`, `MatFDColoringSetFunction()`, `MatColoring`, `DMCreateColoring()`
1713: S*/
1714: typedef struct _p_MatFDColoring *MatFDColoring;
1716: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat, ISColoring, MatFDColoring *);
1717: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring *);
1718: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring, PetscViewer);
1719: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring, PetscErrorCode (*)(void), void *);
1720: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring, PetscErrorCode (**)(void), void **);
1721: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring, PetscReal, PetscReal);
1722: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1723: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat, MatFDColoring, Vec, void *);
1724: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring, Vec);
1725: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring, PetscInt *, const PetscInt *[]);
1726: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat, ISColoring, MatFDColoring);
1727: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring, PetscInt, PetscInt);
1728: PETSC_EXTERN PetscErrorCode MatFDColoringSetValues(Mat, MatFDColoring, const PetscScalar *);
1730: /*S
1731: MatTransposeColoring - Object for computing a sparse matrix product $C = A*B^T$ via coloring
1733: Level: developer
1735: .seealso: [](ch_matrices), `Mat`, `MatProductType`, `MatTransposeColoringCreate()`
1736: S*/
1737: typedef struct _p_MatTransposeColoring *MatTransposeColoring;
1739: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat, ISColoring, MatTransposeColoring *);
1740: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring, Mat, Mat);
1741: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring, Mat, Mat);
1742: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring *);
1744: /*S
1745: MatPartitioning - Object for managing the partitioning of a matrix or graph
1747: Level: beginner
1749: Note:
1750: There is also a `PetscPartitioner` object that provides the same functionality. It can utilize the `MatPartitioning` operations
1751: via `PetscPartitionerSetType`(p,`PETSCPARTITIONERMATPARTITIONING`)
1753: Developer Note:
1754: It is an extra maintenance and documentation cost to have two objects with the same functionality. `PetscPartitioner` should be removed
1756: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioningType`, `MatColoring`, `MatGetOrdering()`, `MatOrderingType`,
1757: `MatCoarsenType`, `MatCoarsenType`
1758: S*/
1759: typedef struct _p_MatPartitioning *MatPartitioning;
1761: /*J
1762: MatPartitioningType - String with the name of a PETSc matrix partitioning
1764: Level: beginner
1765: dm
1766: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatPartitioningCreate()`, `MatPartitioning`, `MatPartitioningSetType()`, `MatColoringType`, `MatOrderingType`,
1767: `MatCoarsenType`, `MatCoarsenType`
1768: J*/
1769: typedef const char *MatPartitioningType;
1770: #define MATPARTITIONINGCURRENT "current"
1771: #define MATPARTITIONINGAVERAGE "average"
1772: #define MATPARTITIONINGSQUARE "square"
1773: #define MATPARTITIONINGPARMETIS "parmetis"
1774: #define MATPARTITIONINGCHACO "chaco"
1775: #define MATPARTITIONINGPARTY "party"
1776: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1777: #define MATPARTITIONINGHIERARCH "hierarch"
1779: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm, MatPartitioning *);
1780: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning, MatPartitioningType);
1781: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning, PetscInt);
1782: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning, Mat);
1783: PETSC_EXTERN PetscErrorCode MatPartitioningSetNumberVertexWeights(MatPartitioning, PetscInt);
1784: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning, const PetscInt[]);
1785: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning, const PetscReal[]);
1786: PETSC_EXTERN PetscErrorCode MatPartitioningSetUseEdgeWeights(MatPartitioning, PetscBool);
1787: PETSC_EXTERN PetscErrorCode MatPartitioningGetUseEdgeWeights(MatPartitioning, PetscBool *);
1788: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning, IS *);
1789: PETSC_EXTERN PetscErrorCode MatPartitioningImprove(MatPartitioning, IS *);
1790: PETSC_EXTERN PetscErrorCode MatPartitioningViewImbalance(MatPartitioning, IS);
1791: PETSC_EXTERN PetscErrorCode MatPartitioningApplyND(MatPartitioning, IS *);
1792: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning *);
1793: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[], PetscErrorCode (*)(MatPartitioning));
1794: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning, PetscViewer);
1795: PETSC_EXTERN PetscErrorCode MatPartitioningViewFromOptions(MatPartitioning, PetscObject, const char[]);
1796: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1797: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning, MatPartitioningType *);
1799: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetRepartition(MatPartitioning part);
1800: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1801: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1803: typedef enum {
1804: MP_CHACO_MULTILEVEL = 1,
1805: MP_CHACO_SPECTRAL = 2,
1806: MP_CHACO_LINEAR = 4,
1807: MP_CHACO_RANDOM = 5,
1808: MP_CHACO_SCATTERED = 6
1809: } MPChacoGlobalType;
1810: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1811: typedef enum {
1812: MP_CHACO_KERNIGHAN = 1,
1813: MP_CHACO_NONE = 2
1814: } MPChacoLocalType;
1815: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1816: typedef enum {
1817: MP_CHACO_LANCZOS = 0,
1818: MP_CHACO_RQI = 1
1819: } MPChacoEigenType;
1820: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1822: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning, MPChacoGlobalType);
1823: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning, MPChacoGlobalType *);
1824: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning, MPChacoLocalType);
1825: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning, MPChacoLocalType *);
1826: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning, PetscReal);
1827: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning, MPChacoEigenType);
1828: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning, MPChacoEigenType *);
1829: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning, PetscReal);
1830: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning, PetscReal *);
1831: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning, PetscInt);
1832: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning, PetscInt *);
1834: #define MP_PARTY_OPT "opt"
1835: #define MP_PARTY_LIN "lin"
1836: #define MP_PARTY_SCA "sca"
1837: #define MP_PARTY_RAN "ran"
1838: #define MP_PARTY_GBF "gbf"
1839: #define MP_PARTY_GCF "gcf"
1840: #define MP_PARTY_BUB "bub"
1841: #define MP_PARTY_DEF "def"
1842: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning, const char *);
1843: #define MP_PARTY_HELPFUL_SETS "hs"
1844: #define MP_PARTY_KERNIGHAN_LIN "kl"
1845: #define MP_PARTY_NONE "no"
1846: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning, const char *);
1847: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning, PetscReal);
1848: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning, PetscBool);
1849: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning, PetscBool);
1851: typedef enum {
1852: MP_PTSCOTCH_DEFAULT,
1853: MP_PTSCOTCH_QUALITY,
1854: MP_PTSCOTCH_SPEED,
1855: MP_PTSCOTCH_BALANCE,
1856: MP_PTSCOTCH_SAFETY,
1857: MP_PTSCOTCH_SCALABILITY
1858: } MPPTScotchStrategyType;
1859: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1861: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning, PetscReal);
1862: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning, PetscReal *);
1863: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning, MPPTScotchStrategyType);
1864: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning, MPPTScotchStrategyType *);
1866: /*
1867: * hierarchical partitioning
1868: */
1869: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetFineparts(MatPartitioning, IS *);
1870: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalGetCoarseparts(MatPartitioning, IS *);
1871: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNcoarseparts(MatPartitioning, PetscInt);
1872: PETSC_EXTERN PetscErrorCode MatPartitioningHierarchicalSetNfineparts(MatPartitioning, PetscInt);
1874: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat, PetscInt, Mat *);
1876: /*
1877: If you add entries here you must also add them to src/mat/f90-mod/petscmat.h
1878: If any of the enum values are changed, also update dMatOps dict at src/binding/petsc4py/src/libpetsc4py/libpetsc4py.pyx
1879: */
1880: typedef enum {
1881: MATOP_SET_VALUES = 0,
1882: MATOP_GET_ROW = 1,
1883: MATOP_RESTORE_ROW = 2,
1884: MATOP_MULT = 3,
1885: MATOP_MULT_ADD = 4,
1886: MATOP_MULT_TRANSPOSE = 5,
1887: MATOP_MULT_TRANSPOSE_ADD = 6,
1888: MATOP_SOLVE = 7,
1889: MATOP_SOLVE_ADD = 8,
1890: MATOP_SOLVE_TRANSPOSE = 9,
1891: MATOP_SOLVE_TRANSPOSE_ADD = 10,
1892: MATOP_LUFACTOR = 11,
1893: MATOP_CHOLESKYFACTOR = 12,
1894: MATOP_SOR = 13,
1895: MATOP_TRANSPOSE = 14,
1896: MATOP_GETINFO = 15,
1897: MATOP_EQUAL = 16,
1898: MATOP_GET_DIAGONAL = 17,
1899: MATOP_DIAGONAL_SCALE = 18,
1900: MATOP_NORM = 19,
1901: MATOP_ASSEMBLY_BEGIN = 20,
1902: MATOP_ASSEMBLY_END = 21,
1903: MATOP_SET_OPTION = 22,
1904: MATOP_ZERO_ENTRIES = 23,
1905: MATOP_ZERO_ROWS = 24,
1906: MATOP_LUFACTOR_SYMBOLIC = 25,
1907: MATOP_LUFACTOR_NUMERIC = 26,
1908: MATOP_CHOLESKY_FACTOR_SYMBOLIC = 27,
1909: MATOP_CHOLESKY_FACTOR_NUMERIC = 28,
1910: MATOP_SETUP = 29,
1911: MATOP_ILUFACTOR_SYMBOLIC = 30,
1912: MATOP_ICCFACTOR_SYMBOLIC = 31,
1913: MATOP_GET_DIAGONAL_BLOCK = 32,
1914: MATOP_SET_INF = 33,
1915: MATOP_DUPLICATE = 34,
1916: MATOP_FORWARD_SOLVE = 35,
1917: MATOP_BACKWARD_SOLVE = 36,
1918: MATOP_ILUFACTOR = 37,
1919: MATOP_ICCFACTOR = 38,
1920: MATOP_AXPY = 39,
1921: MATOP_CREATE_SUBMATRICES = 40,
1922: MATOP_INCREASE_OVERLAP = 41,
1923: MATOP_GET_VALUES = 42,
1924: MATOP_COPY = 43,
1925: MATOP_GET_ROW_MAX = 44,
1926: MATOP_SCALE = 45,
1927: MATOP_SHIFT = 46,
1928: MATOP_DIAGONAL_SET = 47,
1929: MATOP_ZERO_ROWS_COLUMNS = 48,
1930: MATOP_SET_RANDOM = 49,
1931: MATOP_GET_ROW_IJ = 50,
1932: MATOP_RESTORE_ROW_IJ = 51,
1933: MATOP_GET_COLUMN_IJ = 52,
1934: MATOP_RESTORE_COLUMN_IJ = 53,
1935: MATOP_FDCOLORING_CREATE = 54,
1936: MATOP_COLORING_PATCH = 55,
1937: MATOP_SET_UNFACTORED = 56,
1938: MATOP_PERMUTE = 57,
1939: MATOP_SET_VALUES_BLOCKED = 58,
1940: MATOP_CREATE_SUBMATRIX = 59,
1941: MATOP_DESTROY = 60,
1942: MATOP_VIEW = 61,
1943: MATOP_CONVERT_FROM = 62,
1944: /* MATOP_PLACEHOLDER_63=63 */
1945: MATOP_MATMAT_MULT_SYMBOLIC = 64,
1946: MATOP_MATMAT_MULT_NUMERIC = 65,
1947: MATOP_SET_LOCAL_TO_GLOBAL_MAP = 66,
1948: MATOP_SET_VALUES_LOCAL = 67,
1949: MATOP_ZERO_ROWS_LOCAL = 68,
1950: MATOP_GET_ROW_MAX_ABS = 69,
1951: MATOP_GET_ROW_MIN_ABS = 70,
1952: MATOP_CONVERT = 71,
1953: MATOP_HAS_OPERATION = 72,
1954: /* MATOP_PLACEHOLDER_73=73, */
1955: MATOP_SET_VALUES_ADIFOR = 74,
1956: MATOP_FD_COLORING_APPLY = 75,
1957: MATOP_SET_FROM_OPTIONS = 76,
1958: /* MATOP_PLACEHOLDER_77=77, */
1959: /* MATOP_PLACEHOLDER_78=78, */
1960: MATOP_FIND_ZERO_DIAGONALS = 79,
1961: MATOP_MULT_MULTIPLE = 80,
1962: MATOP_SOLVE_MULTIPLE = 81,
1963: MATOP_GET_INERTIA = 82,
1964: MATOP_LOAD = 83,
1965: MATOP_IS_SYMMETRIC = 84,
1966: MATOP_IS_HERMITIAN = 85,
1967: MATOP_IS_STRUCTURALLY_SYMMETRIC = 86,
1968: MATOP_SET_VALUES_BLOCKEDLOCAL = 87,
1969: MATOP_CREATE_VECS = 88,
1970: /* MATOP_PLACEHOLDER_89=89, */
1971: MATOP_MAT_MULT_SYMBOLIC = 90,
1972: MATOP_MAT_MULT_NUMERIC = 91,
1973: /* MATOP_PLACEHOLDER_92=92, */
1974: MATOP_PTAP_SYMBOLIC = 93,
1975: MATOP_PTAP_NUMERIC = 94,
1976: /* MATOP_PLACEHOLDER_95=95, */
1977: MATOP_MAT_TRANSPOSE_MULT_SYMBO = 96,
1978: MATOP_MAT_TRANSPOSE_MULT_NUMER = 97,
1979: MATOP_BIND_TO_CPU = 98,
1980: MATOP_PRODUCTSETFROMOPTIONS = 99,
1981: MATOP_PRODUCTSYMBOLIC = 100,
1982: MATOP_PRODUCTNUMERIC = 101,
1983: MATOP_CONJUGATE = 102,
1984: MATOP_VIEW_NATIVE = 103,
1985: MATOP_SET_VALUES_ROW = 104,
1986: MATOP_REAL_PART = 105,
1987: MATOP_IMAGINARY_PART = 106,
1988: MATOP_GET_ROW_UPPER_TRIANGULAR = 107,
1989: MATOP_RESTORE_ROW_UPPER_TRIANG = 108,
1990: MATOP_MAT_SOLVE = 109,
1991: MATOP_MAT_SOLVE_TRANSPOSE = 110,
1992: MATOP_GET_ROW_MIN = 111,
1993: MATOP_GET_COLUMN_VECTOR = 112,
1994: MATOP_MISSING_DIAGONAL = 113,
1995: MATOP_GET_SEQ_NONZERO_STRUCTUR = 114,
1996: MATOP_CREATE = 115,
1997: MATOP_GET_GHOSTS = 116,
1998: MATOP_GET_LOCAL_SUB_MATRIX = 117,
1999: MATOP_RESTORE_LOCALSUB_MATRIX = 118,
2000: MATOP_MULT_DIAGONAL_BLOCK = 119,
2001: MATOP_HERMITIAN_TRANSPOSE = 120,
2002: MATOP_MULT_HERMITIAN_TRANSPOSE = 121,
2003: MATOP_MULT_HERMITIAN_TRANS_ADD = 122,
2004: MATOP_GET_MULTI_PROC_BLOCK = 123,
2005: MATOP_FIND_NONZERO_ROWS = 124,
2006: MATOP_GET_COLUMN_NORMS = 125,
2007: MATOP_INVERT_BLOCK_DIAGONAL = 126,
2008: MATOP_INVERT_VBLOCK_DIAGONAL = 127,
2009: MATOP_CREATE_SUB_MATRICES_MPI = 128,
2010: MATOP_SET_VALUES_BATCH = 129,
2011: /* MATOP_PLACEHOLDER_130=130, */
2012: MATOP_TRANSPOSE_MAT_MULT_SYMBO = 131,
2013: MATOP_TRANSPOSE_MAT_MULT_NUMER = 132,
2014: MATOP_TRANSPOSE_COLORING_CREAT = 133,
2015: MATOP_TRANS_COLORING_APPLY_SPT = 134,
2016: MATOP_TRANS_COLORING_APPLY_DEN = 135,
2017: /* MATOP_PLACEHOLDER_136=136, */
2018: MATOP_RART_SYMBOLIC = 137,
2019: MATOP_RART_NUMERIC = 138,
2020: MATOP_SET_BLOCK_SIZES = 139,
2021: MATOP_AYPX = 140,
2022: MATOP_RESIDUAL = 141,
2023: MATOP_FDCOLORING_SETUP = 142,
2024: MATOP_FIND_OFFBLOCK_ENTRIES = 143,
2025: MATOP_MPICONCATENATESEQ = 144,
2026: MATOP_DESTROYSUBMATRICES = 145,
2027: MATOP_MAT_TRANSPOSE_SOLVE = 146,
2028: MATOP_GET_VALUES_LOCAL = 147,
2029: MATOP_CREATE_GRAPH = 148,
2030: /* MATOP_PLACEHOLDER_149=149, */
2031: MATOP_TRANSPOSE_SYMBOLIC = 150,
2032: MATOP_ELIMINATE_ZEROS = 151,
2033: MATOP_GET_ROW_SUM_ABS = 152,
2034: MATOP_GET_FACTOR = 153,
2035: MATOP_GET_BLOCK_DIAGONAL = 154, // NOTE: caller of the two op functions owns the returned matrix
2036: MATOP_GET_VBLOCK_DIAGONAL = 155, // and need to destroy it after use.
2037: MATOP_COPY_HASH_TO_AIJ = 156
2038: } MatOperation;
2039: PETSC_EXTERN PetscErrorCode MatSetOperation(Mat, MatOperation, void (*)(void));
2040: PETSC_EXTERN PetscErrorCode MatGetOperation(Mat, MatOperation, void (**)(void));
2041: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat, MatOperation, PetscBool *);
2042: PETSC_EXTERN PetscErrorCode MatHasCongruentLayouts(Mat, PetscBool *);
2043: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "MatProductClear()", ) static inline PetscErrorCode MatFreeIntermediateDataStructures(Mat A)
2044: {
2045: return MatProductClear(A);
2046: }
2047: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat, MatOperation, void (*)(void));
2048: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat, MatOperation, void (**)(void));
2049: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat, void *);
2050: PETSC_EXTERN PetscErrorCode MatShellSetContextDestroy(Mat, PetscCtxDestroyFn *);
2051: PETSC_EXTERN PetscErrorCode MatShellSetVecType(Mat, VecType);
2052: PETSC_EXTERN PetscErrorCode MatShellTestMult(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2053: PETSC_EXTERN PetscErrorCode MatShellTestMultTranspose(Mat, PetscErrorCode (*)(void *, Vec, Vec), Vec, void *, PetscBool *);
2054: PETSC_EXTERN PetscErrorCode MatShellSetManageScalingShifts(Mat);
2055: PETSC_EXTERN PetscErrorCode MatShellSetMatProductOperation(Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType);
2056: PETSC_EXTERN PetscErrorCode MatIsShell(Mat, PetscBool *);
2058: /*
2059: Codes for matrices stored on disk. By default they are
2060: stored in a universal format. By changing the format with
2061: PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
2062: be stored in a way natural for the matrix, for example dense matrices
2063: would be stored as dense. Matrices stored this way may only be
2064: read into matrices of the same type.
2065: */
2066: #define MATRIX_BINARY_FORMAT_DENSE -1
2068: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat, PetscReal);
2070: PETSC_EXTERN PetscErrorCode MatISSetLocalMatType(Mat, MatType);
2071: PETSC_EXTERN PetscErrorCode MatISSetPreallocation(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
2072: PETSC_EXTERN PetscErrorCode MatISSetAllowRepeated(Mat, PetscBool);
2073: PETSC_EXTERN PetscErrorCode MatISGetAllowRepeated(Mat, PetscBool *);
2074: PETSC_EXTERN PetscErrorCode MatISStoreL2L(Mat, PetscBool);
2075: PETSC_EXTERN PetscErrorCode MatISFixLocalEmpty(Mat, PetscBool);
2076: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat, Mat *);
2077: PETSC_EXTERN PetscErrorCode MatISRestoreLocalMat(Mat, Mat *);
2078: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat, Mat);
2079: PETSC_EXTERN PetscErrorCode MatISGetLocalToGlobalMapping(Mat, ISLocalToGlobalMapping *, ISLocalToGlobalMapping *);
2081: /*S
2082: MatNullSpace - Object that removes a null space from a vector, i.e.
2083: orthogonalizes the vector to a subspace
2085: Level: advanced
2087: .seealso: [](ch_matrices), `Mat`, `MatNullSpaceCreate()`, `MatNullSpaceSetFunction()`, `MatGetNullSpace()`, `MatSetNullSpace()`
2088: S*/
2089: typedef struct _p_MatNullSpace *MatNullSpace;
2091: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm, PetscBool, PetscInt, const Vec[], MatNullSpace *);
2092: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace, PetscErrorCode (*)(MatNullSpace, Vec, void *), void *);
2093: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace *);
2094: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace, Vec);
2095: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
2096: PETSC_EXTERN PetscErrorCode MatGetTransposeNullSpace(Mat, MatNullSpace *);
2097: PETSC_EXTERN PetscErrorCode MatSetTransposeNullSpace(Mat, MatNullSpace);
2098: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat, MatNullSpace);
2099: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat, MatNullSpace);
2100: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat, MatNullSpace *);
2101: PETSC_EXTERN PetscErrorCode MatGetNullSpaces(PetscInt, Mat[], MatNullSpace *[]);
2102: PETSC_EXTERN PetscErrorCode MatRestoreNullSpaces(PetscInt, Mat[], MatNullSpace *[]);
2103: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace, Mat, PetscBool *);
2104: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace, PetscViewer);
2105: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace, PetscBool *, PetscInt *, const Vec **);
2106: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec, MatNullSpace *);
2108: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat, IS);
2109: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat, PetscReal);
2110: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat, PetscInt *);
2112: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat, PetscInt, Mat *);
2113: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat, PetscInt, Mat *);
2114: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat, Mat *);
2116: PETSC_EXTERN PetscErrorCode MatComputeOperator(Mat, MatType, Mat *);
2117: PETSC_EXTERN PetscErrorCode MatComputeOperatorTranspose(Mat, MatType, Mat *);
2119: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperator()", ) static inline PetscErrorCode MatComputeExplicitOperator(Mat A, Mat *B)
2120: {
2121: return MatComputeOperator(A, PETSC_NULLPTR, B);
2122: }
2123: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "MatComputeOperatorTranspose()", ) static inline PetscErrorCode MatComputeExplicitOperatorTranspose(Mat A, Mat *B)
2124: {
2125: return MatComputeOperatorTranspose(A, PETSC_NULLPTR, B);
2126: }
2128: PETSC_EXTERN PetscErrorCode MatCreateKAIJ(Mat, PetscInt, PetscInt, const PetscScalar[], const PetscScalar[], Mat *);
2129: PETSC_EXTERN PetscErrorCode MatKAIJGetAIJ(Mat, Mat *);
2130: PETSC_EXTERN PetscErrorCode MatKAIJGetS(Mat, PetscInt *, PetscInt *, PetscScalar **);
2131: PETSC_EXTERN PetscErrorCode MatKAIJGetSRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2132: PETSC_EXTERN PetscErrorCode MatKAIJRestoreS(Mat, PetscScalar **);
2133: PETSC_EXTERN PetscErrorCode MatKAIJRestoreSRead(Mat, const PetscScalar **);
2134: PETSC_EXTERN PetscErrorCode MatKAIJGetT(Mat, PetscInt *, PetscInt *, PetscScalar **);
2135: PETSC_EXTERN PetscErrorCode MatKAIJGetTRead(Mat, PetscInt *, PetscInt *, const PetscScalar **);
2136: PETSC_EXTERN PetscErrorCode MatKAIJRestoreT(Mat, PetscScalar **);
2137: PETSC_EXTERN PetscErrorCode MatKAIJRestoreTRead(Mat, const PetscScalar **);
2138: PETSC_EXTERN PetscErrorCode MatKAIJSetAIJ(Mat, Mat);
2139: PETSC_EXTERN PetscErrorCode MatKAIJSetS(Mat, PetscInt, PetscInt, const PetscScalar[]);
2140: PETSC_EXTERN PetscErrorCode MatKAIJSetT(Mat, PetscInt, PetscInt, const PetscScalar[]);
2141: PETSC_EXTERN PetscErrorCode MatKAIJGetScaledIdentity(Mat, PetscBool *);
2143: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat, Vec);
2145: PETSC_EXTERN PetscErrorCode MatMFFDInitializePackage(void);
2146: PETSC_EXTERN PetscErrorCode MatMFFDFinalizePackage(void);
2148: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2149: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat, Vec, Vec);
2150: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat, PetscErrorCode (*)(void *, Vec, Vec), void *);
2151: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat, PetscErrorCode (*)(void *, PetscInt, Vec, PetscScalar *));
2152: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat, PetscErrorCode (*)(void *, Vec));
2153: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat, PetscScalar[], PetscInt);
2154: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
2155: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat, PetscReal);
2156: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat, PetscInt);
2157: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat, PetscScalar *);
2158: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat, const char[]);
2159: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void *, Vec, Vec, PetscScalar *);
2160: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat, PetscErrorCode (*)(void *, Vec, Vec, PetscScalar *), void *);
2162: /*S
2163: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
2164: Jacobian vector products
2166: Level: developer
2168: Notes:
2169: `MATMFFD` is a specific `MatType` which uses the `MatMFFD` data structure
2171: MatMFFD*() methods actually take the `Mat` as their first argument. Not a `MatMFFD` data structure
2173: This functionality is often obtained using `MatCreateSNESMF()` or with `SNES` solvers using `-snes_mf` or `-snes_mf_operator`
2175: .seealso: [](ch_matrices), `MatMFFDType`, `MATMFFD`, `MatCreateMFFD()`, `MatMFFDSetFuction()`, `MatMFFDSetType()`, `MatMFFDRegister()`,
2176: `MatCreateSNESMF()`, `SNES`, `-snes_mf`, `-snes_mf_operator`
2177: S*/
2178: typedef struct _p_MatMFFD *MatMFFD;
2180: /*J
2181: MatMFFDType - algorithm used to compute the `h` used in computing matrix-vector products via differencing of a function
2183: Values:
2184: + `MATMFFD_DS` - an algorithm described by Dennis and Schnabel {cite}`dennis:83`
2185: - `MATMFFD_WP` - the Walker-Pernice {cite}`pw98` strategy.
2187: Level: beginner
2189: .seealso: [](ch_matrices), `MatMFFDSetType()`, `MatMFFDRegister()`, `MatMFFDSetFunction()`, `MatCreateMFFD()`
2190: J*/
2191: typedef const char *MatMFFDType;
2192: #define MATMFFD_DS "ds"
2193: #define MATMFFD_WP "wp"
2195: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat, MatMFFDType);
2196: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[], PetscErrorCode (*)(MatMFFD));
2198: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat, PetscReal);
2199: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat, PetscBool);
2201: PETSC_EXTERN PetscErrorCode MatFDColoringSetType(MatFDColoring, MatMFFDType);
2203: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
2204: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
2206: #ifdef PETSC_HAVE_H2OPUS
2207: PETSC_EXTERN_TYPEDEF typedef PetscScalar(MatH2OpusKernelFn)(PetscInt, PetscReal[], PetscReal[], void *);
2208: PETSC_EXTERN_TYPEDEF typedef MatH2OpusKernelFn *MatH2OpusKernel;
2210: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], PetscBool, MatH2OpusKernelFn *, void *, PetscReal, PetscInt, PetscInt, Mat *);
2211: PETSC_EXTERN PetscErrorCode MatCreateH2OpusFromMat(Mat, PetscInt, const PetscReal[], PetscBool, PetscReal, PetscInt, PetscInt, PetscInt, PetscReal, Mat *);
2212: PETSC_EXTERN PetscErrorCode MatH2OpusSetSamplingMat(Mat, Mat, PetscInt, PetscReal);
2213: PETSC_EXTERN PetscErrorCode MatH2OpusOrthogonalize(Mat);
2214: PETSC_EXTERN PetscErrorCode MatH2OpusCompress(Mat, PetscReal);
2215: PETSC_EXTERN PetscErrorCode MatH2OpusSetNativeMult(Mat, PetscBool);
2216: PETSC_EXTERN PetscErrorCode MatH2OpusGetNativeMult(Mat, PetscBool *);
2217: PETSC_EXTERN PetscErrorCode MatH2OpusGetIndexMap(Mat, IS *);
2218: PETSC_EXTERN PetscErrorCode MatH2OpusMapVec(Mat, PetscBool, Vec, Vec *);
2219: PETSC_EXTERN PetscErrorCode MatH2OpusLowRankUpdate(Mat, Mat, Mat, PetscScalar);
2220: #endif
2222: #ifdef PETSC_HAVE_HTOOL
2223: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(MatHtoolKernelFn)(PetscInt, PetscInt, PetscInt, const PetscInt *, const PetscInt *, PetscScalar *, void *);
2224: PETSC_EXTERN_TYPEDEF typedef MatHtoolKernelFn *MatHtoolKernel;
2226: PETSC_EXTERN PetscErrorCode MatCreateHtoolFromKernel(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscReal[], const PetscReal[], MatHtoolKernelFn *, void *, Mat *);
2227: PETSC_EXTERN PetscErrorCode MatHtoolSetKernel(Mat, MatHtoolKernelFn *, void *);
2228: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationSource(Mat, IS *);
2229: PETSC_EXTERN PetscErrorCode MatHtoolGetPermutationTarget(Mat, IS *);
2230: PETSC_EXTERN PetscErrorCode MatHtoolUsePermutation(Mat, PetscBool);
2232: /*E
2233: MatHtoolCompressorType - Indicates the type of compressor used by a `MATHTOOL`
2235: Values:
2236: + `MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA` (default) - symmetric partial adaptive cross approximation
2237: . `MAT_HTOOL_COMPRESSOR_FULL_ACA` - full adaptive cross approximation
2238: - `MAT_HTOOL_COMPRESSOR_SVD` - singular value decomposition
2240: Level: intermediate
2242: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolClusteringType`
2243: E*/
2244: typedef enum {
2245: MAT_HTOOL_COMPRESSOR_SYMPARTIAL_ACA,
2246: MAT_HTOOL_COMPRESSOR_FULL_ACA,
2247: MAT_HTOOL_COMPRESSOR_SVD
2248: } MatHtoolCompressorType;
2250: /*E
2251: MatHtoolClusteringType - Indicates the type of clustering used by a `MATHTOOL`
2253: Values:
2254: + `MAT_HTOOL_CLUSTERING_PCA_REGULAR` (default) - axis computed via principle component analysis, split uniformly
2255: . `MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC` - axis computed via principle component analysis, split barycentrically
2256: . `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR` - axis along the largest extent of the bounding box, split uniformly
2257: - `MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC` - axis along the largest extent of the bounding box, split barycentrically
2259: Level: intermediate
2261: Note:
2262: Higher-dimensional clustering is not yet supported in Htool, but once it is, one should add BOUNDING_BOX_{2,3} types
2264: .seealso: [](ch_matrices), `Mat`, `MatCreateHtoolFromKernel()`, `MATHTOOL`, `MatHtoolCompressorType`
2265: E*/
2266: typedef enum {
2267: MAT_HTOOL_CLUSTERING_PCA_REGULAR,
2268: MAT_HTOOL_CLUSTERING_PCA_GEOMETRIC,
2269: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_REGULAR,
2270: MAT_HTOOL_CLUSTERING_BOUNDING_BOX_1_GEOMETRIC
2271: } MatHtoolClusteringType;
2272: #endif
2274: #ifdef PETSC_HAVE_MUMPS
2275: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat, PetscInt, PetscInt);
2276: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat, PetscInt, PetscInt *);
2277: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat, PetscInt, PetscReal);
2278: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat, PetscInt, PetscReal *);
2280: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat, PetscInt, PetscInt *);
2281: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat, PetscInt, PetscInt *);
2282: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat, PetscInt, PetscReal *);
2283: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat, PetscInt, PetscReal *);
2284: PETSC_EXTERN PetscErrorCode MatMumpsGetNullPivots(Mat, PetscInt *, PetscInt **);
2285: PETSC_EXTERN PetscErrorCode MatMumpsGetInverse(Mat, Mat);
2286: PETSC_EXTERN PetscErrorCode MatMumpsGetInverseTranspose(Mat, Mat);
2287: #endif
2289: #ifdef PETSC_HAVE_MKL_PARDISO
2290: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat, PetscInt, PetscInt);
2291: #endif
2293: #ifdef PETSC_HAVE_MKL_CPARDISO
2294: PETSC_EXTERN PetscErrorCode MatMkl_CPardisoSetCntl(Mat, PetscInt, PetscInt);
2295: #endif
2297: #ifdef PETSC_HAVE_SUPERLU
2298: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat, PetscReal);
2299: #endif
2301: #ifdef PETSC_HAVE_SUPERLU_DIST
2302: PETSC_EXTERN PetscErrorCode MatSuperluDistGetDiagU(Mat, PetscScalar *);
2303: #endif
2305: #ifdef PETSC_HAVE_STRUMPACK
2306: /*E
2307: MatSTRUMPACKReordering - sparsity reducing ordering to be used in `MATSOLVERSTRUMPACK`
2309: Values:
2310: + `MAT_STRUMPACK_NATURAL` - use the current ordering
2311: . `MAT_STRUMPACK_METIS` - use MeTis to compute an ordering
2312: . `MAT_STRUMPACK_PARMETIS` - use ParMeTis to compute an ordering
2313: . `MAT_STRUMPACK_SCOTCH` - use Scotch to compute an ordering
2314: . `MAT_STRUMPACK_PTSCOTCH` - use parallel Scotch to compute an ordering
2315: . `MAT_STRUMPACK_RCM` - use an RCM ordering
2316: . `MAT_STRUMPACK_GEOMETRIC` - use a geometric ordering (needs mesh info from user)
2317: . `MAT_STRUMPACK_AMD` - approximate minimum degree
2318: . `MAT_STRUMPACK_MMD` - multiple minimum degree
2319: . `MAT_STRUMPACK_AND` - approximate nested dissection
2320: . `MAT_STRUMPACK_MLF` - minimum local fill
2321: - `MAT_STRUMPACK_SPECTRAL` - spectral nested dissection
2323: Level: intermediate
2325: Developer Note:
2326: Should be called `MatSTRUMPACKReorderingType`
2328: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetReordering()`
2329: E*/
2330: typedef enum {
2331: MAT_STRUMPACK_NATURAL,
2332: MAT_STRUMPACK_METIS,
2333: MAT_STRUMPACK_PARMETIS,
2334: MAT_STRUMPACK_SCOTCH,
2335: MAT_STRUMPACK_PTSCOTCH,
2336: MAT_STRUMPACK_RCM,
2337: MAT_STRUMPACK_GEOMETRIC,
2338: MAT_STRUMPACK_AMD,
2339: MAT_STRUMPACK_MMD,
2340: MAT_STRUMPACK_AND,
2341: MAT_STRUMPACK_MLF,
2342: MAT_STRUMPACK_SPECTRAL
2343: } MatSTRUMPACKReordering;
2345: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetReordering(Mat, MatSTRUMPACKReordering);
2346: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetReordering(Mat, MatSTRUMPACKReordering *);
2347: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricNxyz(Mat, PetscInt, PetscInt, PetscInt);
2348: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricComponents(Mat, PetscInt);
2349: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGeometricWidth(Mat, PetscInt);
2350: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetColPerm(Mat, PetscBool);
2351: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetColPerm(Mat, PetscBool *);
2352: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetGPU(Mat, PetscBool);
2353: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetGPU(Mat, PetscBool *);
2355: /*E
2356: MatSTRUMPACKCompressionType - Compression used in the approximate sparse factorization solver `MATSOLVERSTRUMPACK`
2358: Values:
2359: + `MAT_STRUMPACK_COMPRESSION_TYPE_NONE` - no compression, direct solver
2360: . `MAT_STRUMPACK_COMPRESSION_TYPE_HSS` - hierarchically semi-separable
2361: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR` - block low rank
2362: . `MAT_STRUMPACK_COMPRESSION_TYPE_HODLR` - hierarchically off-diagonal low rank (requires ButterfyPACK support, configure with --download-butterflypack)
2363: . `MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR` - hybrid of BLR and HODLR (requires ButterfyPACK support, configure with --download-butterflypack)
2364: . `MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR` - hybrid of lossy (ZFP), BLR and HODLR (requires ButterfyPACK and ZFP support, configure with --download-butterflypack --download-zfp)
2365: . `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS` - lossless compression (requires ZFP support, configure with --download-zfp)
2366: - `MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY` - lossy compression (requires ZFP support, configure with --download-zfp)
2368: Level: intermediate
2370: .seealso: `Mat`, `MATSOLVERSTRUMPACK`, `MatGetFactor()`, `MatSTRUMPACKSetCompression()`
2371: E*/
2372: typedef enum {
2373: MAT_STRUMPACK_COMPRESSION_TYPE_NONE,
2374: MAT_STRUMPACK_COMPRESSION_TYPE_HSS,
2375: MAT_STRUMPACK_COMPRESSION_TYPE_BLR,
2376: MAT_STRUMPACK_COMPRESSION_TYPE_HODLR,
2377: MAT_STRUMPACK_COMPRESSION_TYPE_BLR_HODLR,
2378: MAT_STRUMPACK_COMPRESSION_TYPE_ZFP_BLR_HODLR,
2379: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSLESS,
2380: MAT_STRUMPACK_COMPRESSION_TYPE_LOSSY
2381: } MatSTRUMPACKCompressionType;
2383: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompression(Mat, MatSTRUMPACKCompressionType);
2384: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompression(Mat, MatSTRUMPACKCompressionType *);
2385: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompRelTol(Mat, PetscReal);
2386: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompRelTol(Mat, PetscReal *);
2387: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompAbsTol(Mat, PetscReal);
2388: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompAbsTol(Mat, PetscReal *);
2389: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompMinSepSize(Mat, PetscInt);
2390: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompMinSepSize(Mat, PetscInt *);
2391: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLeafSize(Mat, PetscInt);
2392: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLeafSize(Mat, PetscInt *);
2393: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompLossyPrecision(Mat, PetscInt);
2394: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompLossyPrecision(Mat, PetscInt *);
2395: PETSC_EXTERN PetscErrorCode MatSTRUMPACKSetCompButterflyLevels(Mat, PetscInt);
2396: PETSC_EXTERN PetscErrorCode MatSTRUMPACKGetCompButterflyLevels(Mat, PetscInt *);
2397: #endif
2399: PETSC_EXTERN PetscErrorCode MatBindToCPU(Mat, PetscBool);
2400: PETSC_EXTERN PetscErrorCode MatBoundToCPU(Mat, PetscBool *);
2401: PETSC_DEPRECATED_FUNCTION(3, 13, 0, "MatBindToCPU()", ) static inline PetscErrorCode MatPinToCPU(Mat A, PetscBool flg)
2402: {
2403: return MatBindToCPU(A, flg);
2404: }
2405: PETSC_EXTERN PetscErrorCode MatSetBindingPropagates(Mat, PetscBool);
2406: PETSC_EXTERN PetscErrorCode MatGetBindingPropagates(Mat, PetscBool *);
2408: #ifdef PETSC_HAVE_CUDA
2409: /*E
2410: MatCUSPARSEStorageFormat - indicates the storage format for `MATAIJCUSPARSE` (GPU)
2411: matrices.
2413: Values:
2414: + `MAT_CUSPARSE_CSR` - Compressed Sparse Row
2415: . `MAT_CUSPARSE_ELL` - Ellpack (requires CUDA 4.2 or later).
2416: - `MAT_CUSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
2418: Level: intermediate
2420: .seealso: [](ch_matrices), `MATAIJCUSPARSE`, `MatCUSPARSESetFormat()`, `MatCUSPARSEFormatOperation`
2421: E*/
2423: typedef enum {
2424: MAT_CUSPARSE_CSR,
2425: MAT_CUSPARSE_ELL,
2426: MAT_CUSPARSE_HYB
2427: } MatCUSPARSEStorageFormat;
2429: /* these will be strings associated with enumerated type defined above */
2430: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
2432: /*E
2433: MatCUSPARSEFormatOperation - indicates the operation of `MATAIJCUSPARSE` (GPU)
2434: matrices whose operation should use a particular storage format.
2436: Values:
2437: + `MAT_CUSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2438: . `MAT_CUSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2439: . `MAT_CUSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2440: - `MAT_CUSPARSE_ALL` - sets the storage format for all `MATAIJCUSPARSE` (GPU) matrices
2442: Level: intermediate
2444: .seealso: [](ch_matrices), `MatCUSPARSESetFormat()`, `MatCUSPARSEStorageFormat`
2445: E*/
2446: typedef enum {
2447: MAT_CUSPARSE_MULT_DIAG,
2448: MAT_CUSPARSE_MULT_OFFDIAG,
2449: MAT_CUSPARSE_MULT,
2450: MAT_CUSPARSE_ALL
2451: } MatCUSPARSEFormatOperation;
2453: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2454: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2455: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat, MatCUSPARSEFormatOperation, MatCUSPARSEStorageFormat);
2456: PETSC_EXTERN PetscErrorCode MatCUSPARSESetUseCPUSolve(Mat, PetscBool);
2457: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2458: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2459: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayRead(Mat, const PetscScalar **);
2460: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayRead(Mat, const PetscScalar **);
2461: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArrayWrite(Mat, PetscScalar **);
2462: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArrayWrite(Mat, PetscScalar **);
2463: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSEGetArray(Mat, PetscScalar **);
2464: PETSC_EXTERN PetscErrorCode MatSeqAIJCUSPARSERestoreArray(Mat, PetscScalar **);
2466: PETSC_EXTERN PetscErrorCode MatCreateDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2467: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseCUDA(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2468: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayWrite(Mat, PetscScalar **);
2469: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArrayRead(Mat, const PetscScalar **);
2470: PETSC_EXTERN PetscErrorCode MatDenseCUDAGetArray(Mat, PetscScalar **);
2471: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayWrite(Mat, PetscScalar **);
2472: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArrayRead(Mat, const PetscScalar **);
2473: PETSC_EXTERN PetscErrorCode MatDenseCUDARestoreArray(Mat, PetscScalar **);
2474: PETSC_EXTERN PetscErrorCode MatDenseCUDAPlaceArray(Mat, const PetscScalar *);
2475: PETSC_EXTERN PetscErrorCode MatDenseCUDAReplaceArray(Mat, const PetscScalar *);
2476: PETSC_EXTERN PetscErrorCode MatDenseCUDAResetArray(Mat);
2477: PETSC_EXTERN PetscErrorCode MatDenseCUDASetPreallocation(Mat, PetscScalar *);
2479: PETSC_EXTERN PetscErrorCode MatCreateSeqSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2480: PETSC_EXTERN PetscErrorCode MatCreateSELLCUDA(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2481: #endif
2483: #ifdef PETSC_HAVE_HIP
2484: /*E
2485: MatHIPSPARSEStorageFormat - indicates the storage format for `MATAIJHIPSPARSE` (GPU)
2486: matrices.
2488: Values:
2489: + `MAT_HIPSPARSE_CSR` - Compressed Sparse Row
2490: . `MAT_HIPSPARSE_ELL` - Ellpack
2491: - `MAT_HIPSPARSE_HYB` - Hybrid, a combination of Ellpack and Coordinate format
2493: Level: intermediate
2495: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEFormatOperation`
2496: E*/
2498: typedef enum {
2499: MAT_HIPSPARSE_CSR,
2500: MAT_HIPSPARSE_ELL,
2501: MAT_HIPSPARSE_HYB
2502: } MatHIPSPARSEStorageFormat;
2504: /* these will be strings associated with enumerated type defined above */
2505: PETSC_EXTERN const char *const MatHIPSPARSEStorageFormats[];
2507: /*E
2508: MatHIPSPARSEFormatOperation - indicates the operation of `MATAIJHIPSPARSE` (GPU)
2509: matrices whose operation should use a particular storage format.
2511: Values:
2512: + `MAT_HIPSPARSE_MULT_DIAG` - sets the storage format for the diagonal matrix in the parallel `MatMult()`
2513: . `MAT_HIPSPARSE_MULT_OFFDIAG` - sets the storage format for the off-diagonal matrix in the parallel `MatMult()`
2514: . `MAT_HIPSPARSE_MULT` - sets the storage format for the entire matrix in the serial (single GPU) `MatMult()`
2515: - `MAT_HIPSPARSE_ALL` - sets the storage format for all HIPSPARSE (GPU) matrices
2517: Level: intermediate
2519: .seealso: [](ch_matrices), `MatHIPSPARSESetFormat()`, `MatHIPSPARSEStorageFormat`
2520: E*/
2521: typedef enum {
2522: MAT_HIPSPARSE_MULT_DIAG,
2523: MAT_HIPSPARSE_MULT_OFFDIAG,
2524: MAT_HIPSPARSE_MULT,
2525: MAT_HIPSPARSE_ALL
2526: } MatHIPSPARSEFormatOperation;
2528: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2529: PETSC_EXTERN PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2530: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetFormat(Mat, MatHIPSPARSEFormatOperation, MatHIPSPARSEStorageFormat);
2531: PETSC_EXTERN PetscErrorCode MatHIPSPARSESetUseCPUSolve(Mat, PetscBool);
2532: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetIJ(Mat, PetscBool, const int **, const int **);
2533: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreIJ(Mat, PetscBool, const int **, const int **);
2534: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayRead(Mat, const PetscScalar **);
2535: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayRead(Mat, const PetscScalar **);
2536: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArrayWrite(Mat, PetscScalar **);
2537: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArrayWrite(Mat, PetscScalar **);
2538: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSEGetArray(Mat, PetscScalar **);
2539: PETSC_EXTERN PetscErrorCode MatSeqAIJHIPSPARSERestoreArray(Mat, PetscScalar **);
2541: PETSC_EXTERN PetscErrorCode MatCreateDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar[], Mat *);
2542: PETSC_EXTERN PetscErrorCode MatCreateSeqDenseHIP(MPI_Comm, PetscInt, PetscInt, PetscScalar[], Mat *);
2543: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayWrite(Mat, PetscScalar **);
2544: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArrayRead(Mat, const PetscScalar **);
2545: PETSC_EXTERN PetscErrorCode MatDenseHIPGetArray(Mat, PetscScalar **);
2546: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayWrite(Mat, PetscScalar **);
2547: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArrayRead(Mat, const PetscScalar **);
2548: PETSC_EXTERN PetscErrorCode MatDenseHIPRestoreArray(Mat, PetscScalar **);
2549: PETSC_EXTERN PetscErrorCode MatDenseHIPPlaceArray(Mat, const PetscScalar *);
2550: PETSC_EXTERN PetscErrorCode MatDenseHIPReplaceArray(Mat, const PetscScalar *);
2551: PETSC_EXTERN PetscErrorCode MatDenseHIPResetArray(Mat);
2552: PETSC_EXTERN PetscErrorCode MatDenseHIPSetPreallocation(Mat, PetscScalar *);
2553: PETSC_EXTERN PetscErrorCode MatCreateSeqSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2554: PETSC_EXTERN PetscErrorCode MatCreateSELLHIP(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2555: #endif
2557: #if defined(PETSC_HAVE_VIENNACL)
2558: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2559: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2560: #endif
2562: #if PetscDefined(HAVE_KOKKOS)
2563: PETSC_EXTERN PetscErrorCode MatCreateAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[], Mat *);
2564: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJKokkos(MPI_Comm, PetscInt, PetscInt, PetscInt, const PetscInt[], Mat *);
2565: #endif
2567: #if defined(PETSC_HAVE_FFTW)
2568: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat, Vec, Vec);
2569: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat, Vec, Vec);
2570: PETSC_EXTERN PetscErrorCode MatCreateVecsFFTW(Mat, Vec *, Vec *, Vec *);
2571: #endif
2573: #if defined(PETSC_HAVE_SCALAPACK)
2574: PETSC_EXTERN PetscErrorCode MatCreateScaLAPACK(MPI_Comm, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, Mat *);
2575: PETSC_EXTERN PetscErrorCode MatScaLAPACKSetBlockSizes(Mat, PetscInt, PetscInt);
2576: PETSC_EXTERN PetscErrorCode MatScaLAPACKGetBlockSizes(Mat, PetscInt *, PetscInt *);
2577: #endif
2579: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm, PetscInt, const IS[], PetscInt, const IS[], const Mat[], Mat *);
2580: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat, PetscInt *, PetscInt *);
2581: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat, IS[], IS[]);
2582: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat, IS[], IS[]);
2583: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat, PetscInt *, PetscInt *, Mat ***);
2584: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat, PetscInt, PetscInt, Mat *);
2585: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat, VecType);
2586: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat, PetscInt, const IS[], PetscInt, const IS[], const Mat[]);
2587: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat, PetscInt, PetscInt, Mat);
2589: PETSC_EXTERN PetscErrorCode MatFilter(Mat, PetscReal, PetscBool, PetscBool);
2590: PETSC_DEPRECATED_FUNCTION(3, 20, 0, "MatFilter()", ) static inline PetscErrorCode MatChop(Mat A, PetscReal tol)
2591: {
2592: return MatFilter(A, tol, PETSC_FALSE, PETSC_FALSE);
2593: }
2594: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat, PetscReal, PetscInt *);
2596: PETSC_EXTERN PetscErrorCode MatSubdomainsCreateCoalesce(Mat, PetscInt, PetscInt *, IS **);
2598: PETSC_EXTERN PetscErrorCode MatPreallocatorPreallocate(Mat, PetscBool, Mat);
2600: PETSC_EXTERN PetscErrorCode MatHeaderMerge(Mat, Mat *);
2601: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat, Mat *);
2603: PETSC_EXTERN PetscErrorCode MatSeqAIJGetCSRAndMemType(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *);
2605: PETSC_EXTERN PetscErrorCode MatCreateGraph(Mat, PetscBool, PetscBool, PetscReal, PetscInt, PetscInt[], Mat *);
2606: PETSC_EXTERN PetscErrorCode MatEliminateZeros(Mat, PetscBool);
2608: PETSC_EXTERN PetscErrorCode MatCreateDenseFromVecType(MPI_Comm, VecType, PetscInt, PetscInt, PetscInt, PetscInt, PetscInt, PetscScalar *, Mat *);
2610: PETSC_EXTERN PetscErrorCode MatSetHPL(Mat, int);
2611: #define PETSCBMHPL "hpl"