Actual source code: petscmat.h
petsc-3.5.0 2014-06-30
1: /*
2: Include file for the matrix component of PETSc
3: */
4: #ifndef __PETSCMAT_H
6: #include <petscvec.h>
8: /*S
9: Mat - Abstract PETSc matrix object used to manage all linear operators in PETSc, even those without
10: an explicit sparse representation (such as matrix-free operators)
12: Level: beginner
14: Concepts: matrix; linear operator
16: .seealso: MatCreate(), MatType, MatSetType(), MatDestroy()
17: S*/
18: typedef struct _p_Mat* Mat;
20: /*J
21: MatType - String with the name of a PETSc matrix type
23: Level: beginner
25: .seealso: MatSetType(), Mat, MatSolverPackage, MatRegister()
26: J*/
27: typedef const char* MatType;
28: #define MATSAME "same"
29: #define MATMAIJ "maij"
30: #define MATSEQMAIJ "seqmaij"
31: #define MATMPIMAIJ "mpimaij"
32: #define MATIS "is"
33: #define MATAIJ "aij"
34: #define MATSEQAIJ "seqaij"
35: #define MATSEQAIJPTHREAD "seqaijpthread"
36: #define MATAIJPTHREAD "aijpthread"
37: #define MATMPIAIJ "mpiaij"
38: #define MATAIJCRL "aijcrl"
39: #define MATSEQAIJCRL "seqaijcrl"
40: #define MATMPIAIJCRL "mpiaijcrl"
41: #define MATAIJCUSP "aijcusp"
42: #define MATSEQAIJCUSP "seqaijcusp"
43: #define MATMPIAIJCUSP "mpiaijcusp"
44: #define MATAIJCUSPARSE "aijcusparse"
45: #define MATSEQAIJCUSPARSE "seqaijcusparse"
46: #define MATMPIAIJCUSPARSE "mpiaijcusparse"
47: #define MATAIJVIENNACL "aijviennacl"
48: #define MATSEQAIJVIENNACL "seqaijviennacl"
49: #define MATMPIAIJVIENNACL "mpiaijviennacl"
50: #define MATAIJPERM "aijperm"
51: #define MATSEQAIJPERM "seqaijperm"
52: #define MATMPIAIJPERM "mpiaijperm"
53: #define MATSHELL "shell"
54: #define MATDENSE "dense"
55: #define MATSEQDENSE "seqdense"
56: #define MATMPIDENSE "mpidense"
57: #define MATELEMENTAL "elemental"
58: #define MATBAIJ "baij"
59: #define MATSEQBAIJ "seqbaij"
60: #define MATMPIBAIJ "mpibaij"
61: #define MATMPIADJ "mpiadj"
62: #define MATSBAIJ "sbaij"
63: #define MATSEQSBAIJ "seqsbaij"
64: #define MATMPISBAIJ "mpisbaij"
65: #define MATSEQBSTRM "seqbstrm"
66: #define MATMPIBSTRM "mpibstrm"
67: #define MATBSTRM "bstrm"
68: #define MATSEQSBSTRM "seqsbstrm"
69: #define MATMPISBSTRM "mpisbstrm"
70: #define MATSBSTRM "sbstrm"
71: #define MATDAAD "daad"
72: #define MATMFFD "mffd"
73: #define MATNORMAL "normal"
74: #define MATLRC "lrc"
75: #define MATSCATTER "scatter"
76: #define MATBLOCKMAT "blockmat"
77: #define MATCOMPOSITE "composite"
78: #define MATFFT "fft"
79: #define MATFFTW "fftw"
80: #define MATSEQCUFFT "seqcufft"
81: #define MATTRANSPOSEMAT "transpose"
82: #define MATSCHURCOMPLEMENT "schurcomplement"
83: #define MATPYTHON "python"
84: #define MATHYPRESTRUCT "hyprestruct"
85: #define MATHYPRESSTRUCT "hypresstruct"
86: #define MATSUBMATRIX "submatrix"
87: #define MATLOCALREF "localref"
88: #define MATNEST "nest"
90: /*J
91: MatSolverPackage - String with the name of a PETSc matrix solver type.
93: For example: "petsc" indicates what PETSc provides, "superlu" indicates either
94: SuperLU or SuperLU_Dist etc.
97: Level: beginner
99: .seealso: MatGetFactor(), Mat, MatSetType(), MatType
100: J*/
101: #define MatSolverPackage char*
102: #define MATSOLVERSUPERLU "superlu"
103: #define MATSOLVERSUPERLU_DIST "superlu_dist"
104: #define MATSOLVERUMFPACK "umfpack"
105: #define MATSOLVERCHOLMOD "cholmod"
106: #define MATSOLVERESSL "essl"
107: #define MATSOLVERLUSOL "lusol"
108: #define MATSOLVERMUMPS "mumps"
109: #define MATSOLVERMKL_PARDISO "mkl_pardiso"
110: #define MATSOLVERPASTIX "pastix"
111: #define MATSOLVERMATLAB "matlab"
112: #define MATSOLVERPETSC "petsc"
113: #define MATSOLVERBAS "bas"
114: #define MATSOLVERCUSPARSE "cusparse"
115: #define MATSOLVERBSTRM "bstrm"
116: #define MATSOLVERSBSTRM "sbstrm"
117: #define MATSOLVERELEMENTAL "elemental"
118: #define MATSOLVERCLIQUE "clique"
119: #define MATSOLVERKLU "klu"
121: /*E
122: MatFactorType - indicates what type of factorization is requested
124: Level: beginner
126: Any additions/changes here MUST also be made in include/finclude/petscmat.h
128: .seealso: MatSolverPackage, MatGetFactor()
129: E*/
130: typedef enum {MAT_FACTOR_NONE, MAT_FACTOR_LU, MAT_FACTOR_CHOLESKY, MAT_FACTOR_ILU, MAT_FACTOR_ICC,MAT_FACTOR_ILUDT} MatFactorType;
131: PETSC_EXTERN const char *const MatFactorTypes[];
133: PETSC_EXTERN PetscErrorCode MatGetFactor(Mat,const MatSolverPackage,MatFactorType,Mat*);
134: PETSC_EXTERN PetscErrorCode MatGetFactorAvailable(Mat,const MatSolverPackage,MatFactorType,PetscBool *);
135: PETSC_EXTERN PetscErrorCode MatFactorGetSolverPackage(Mat,const MatSolverPackage*);
136: PETSC_EXTERN PetscErrorCode MatGetFactorType(Mat,MatFactorType*);
138: /* Logging support */
139: #define MAT_FILE_CLASSID 1211216 /* used to indicate matrices in binary files */
140: PETSC_EXTERN PetscClassId MAT_CLASSID;
141: PETSC_EXTERN PetscClassId MAT_COLORING_CLASSID;
142: PETSC_EXTERN PetscClassId MAT_FDCOLORING_CLASSID;
143: PETSC_EXTERN PetscClassId MAT_TRANSPOSECOLORING_CLASSID;
144: PETSC_EXTERN PetscClassId MAT_PARTITIONING_CLASSID;
145: PETSC_EXTERN PetscClassId MAT_COARSEN_CLASSID;
146: PETSC_EXTERN PetscClassId MAT_NULLSPACE_CLASSID;
147: PETSC_EXTERN PetscClassId MATMFFD_CLASSID;
149: /*E
150: MatReuse - Indicates if matrices obtained from a previous call to MatGetSubMatrices()
151: or MatGetSubMatrix() are to be reused to store the new matrix values. For MatConvert() is used to indicate
152: that the input matrix is to be replaced with the converted matrix.
154: Level: beginner
156: Any additions/changes here MUST also be made in include/finclude/petscmat.h
158: .seealso: MatGetSubMatrices(), MatGetSubMatrix(), MatDestroyMatrices(), MatConvert()
159: E*/
160: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX,MAT_IGNORE_MATRIX} MatReuse;
162: /*E
163: MatGetSubMatrixOption - Indicates if matrices obtained from a call to MatGetSubMatrices()
164: include the matrix values. Currently it is only used by MatGetSeqNonzerostructure().
166: Level: beginner
168: .seealso: MatGetSeqNonzerostructure()
169: E*/
170: typedef enum {MAT_DO_NOT_GET_VALUES,MAT_GET_VALUES} MatGetSubMatrixOption;
172: PETSC_EXTERN PetscErrorCode MatInitializePackage(void);
174: PETSC_EXTERN PetscErrorCode MatCreate(MPI_Comm,Mat*);
175: PETSC_EXTERN PetscErrorCode MatSetSizes(Mat,PetscInt,PetscInt,PetscInt,PetscInt);
176: PETSC_EXTERN PetscErrorCode MatSetType(Mat,MatType);
177: PETSC_EXTERN PetscErrorCode MatSetFromOptions(Mat);
178: PETSC_STATIC_INLINE PetscErrorCode MatViewFromOptions(Mat A,const char prefix[],const char name[]) {return PetscObjectViewFromOptions((PetscObject)A,prefix,name);}
179: PETSC_EXTERN PetscErrorCode MatRegisterAll(void);
180: PETSC_EXTERN PetscErrorCode MatRegister(const char[],PetscErrorCode(*)(Mat));
181: PETSC_EXTERN PetscErrorCode MatRegisterBaseName(const char[],const char[],const char[]);
182: PETSC_EXTERN PetscErrorCode MatSetOptionsPrefix(Mat,const char[]);
183: PETSC_EXTERN PetscErrorCode MatAppendOptionsPrefix(Mat,const char[]);
184: PETSC_EXTERN PetscErrorCode MatGetOptionsPrefix(Mat,const char*[]);
186: PETSC_EXTERN PetscBool MatRegisterAllCalled;
187: PETSC_EXTERN PetscFunctionList MatList;
188: PETSC_EXTERN PetscFunctionList MatColoringList;
189: PETSC_EXTERN PetscFunctionList MatPartitioningList;
190: PETSC_EXTERN PetscFunctionList MatCoarsenList;
192: /*E
193: MatStructure - Indicates if two matrices have the same nonzero structure
195: Level: beginner
197: Any additions/changes here MUST also be made in include/finclude/petscmat.h
199: .seealso: MatCopy(), MatAXPY()
200: E*/
201: typedef enum {DIFFERENT_NONZERO_PATTERN,SUBSET_NONZERO_PATTERN,SAME_NONZERO_PATTERN} MatStructure;
203: PETSC_EXTERN PetscErrorCode MatCreateSeqDense(MPI_Comm,PetscInt,PetscInt,PetscScalar[],Mat*);
204: PETSC_EXTERN PetscErrorCode MatCreateDense(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar[],Mat*);
205: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
206: PETSC_EXTERN PetscErrorCode MatCreateAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
207: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
208: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJWithSplitArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],PetscInt[],PetscInt[],PetscScalar[],Mat*);
210: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
211: PETSC_EXTERN PetscErrorCode MatCreateBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
212: PETSC_EXTERN PetscErrorCode MatCreateMPIBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat*);
214: PETSC_EXTERN PetscErrorCode MatCreateMPIAdj(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscInt[],Mat*);
215: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
217: PETSC_EXTERN PetscErrorCode MatCreateSBAIJ(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
218: PETSC_EXTERN PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[],Mat *);
219: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
220: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
221: PETSC_EXTERN PetscErrorCode MatXAIJSetPreallocation(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscInt[],const PetscInt[]);
223: PETSC_EXTERN PetscErrorCode MatCreateShell(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,void *,Mat*);
224: PETSC_EXTERN PetscErrorCode MatCreateNormal(Mat,Mat*);
225: PETSC_EXTERN PetscErrorCode MatCreateLRC(Mat,Mat,Mat,Mat*);
226: PETSC_EXTERN PetscErrorCode MatCreateIS(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,ISLocalToGlobalMapping,Mat*);
227: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
228: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJCRL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
230: PETSC_EXTERN PetscErrorCode MatCreateSeqBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
231: PETSC_EXTERN PetscErrorCode MatCreateMPIBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
232: PETSC_EXTERN PetscErrorCode MatCreateSeqSBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
233: PETSC_EXTERN PetscErrorCode MatCreateMPISBSTRM(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
235: PETSC_EXTERN PetscErrorCode MatCreateScatter(MPI_Comm,VecScatter,Mat*);
236: PETSC_EXTERN PetscErrorCode MatScatterSetVecScatter(Mat,VecScatter);
237: PETSC_EXTERN PetscErrorCode MatScatterGetVecScatter(Mat,VecScatter*);
238: PETSC_EXTERN PetscErrorCode MatCreateBlockMat(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt*,Mat*);
239: PETSC_EXTERN PetscErrorCode MatCompositeAddMat(Mat,Mat);
240: PETSC_EXTERN PetscErrorCode MatCompositeMerge(Mat);
241: PETSC_EXTERN PetscErrorCode MatCreateComposite(MPI_Comm,PetscInt,const Mat*,Mat*);
242: typedef enum {MAT_COMPOSITE_ADDITIVE,MAT_COMPOSITE_MULTIPLICATIVE} MatCompositeType;
243: PETSC_EXTERN PetscErrorCode MatCompositeSetType(Mat,MatCompositeType);
245: PETSC_EXTERN PetscErrorCode MatCreateFFT(MPI_Comm,PetscInt,const PetscInt[],MatType,Mat*);
246: PETSC_EXTERN PetscErrorCode MatCreateSeqCUFFT(MPI_Comm,PetscInt,const PetscInt[],Mat*);
248: PETSC_EXTERN PetscErrorCode MatCreateTranspose(Mat,Mat*);
249: PETSC_EXTERN PetscErrorCode MatCreateSubMatrix(Mat,IS,IS,Mat*);
250: PETSC_EXTERN PetscErrorCode MatSubMatrixUpdate(Mat,Mat,IS,IS);
251: PETSC_EXTERN PetscErrorCode MatCreateLocalRef(Mat,IS,IS,Mat*);
253: PETSC_EXTERN PetscErrorCode MatPythonSetType(Mat,const char[]);
255: PETSC_EXTERN PetscErrorCode MatSetUp(Mat);
256: PETSC_EXTERN PetscErrorCode MatDestroy(Mat*);
257: PETSC_EXTERN PetscErrorCode MatGetNonzeroState(Mat,PetscObjectState*);
259: PETSC_EXTERN PetscErrorCode MatConjugate(Mat);
260: PETSC_EXTERN PetscErrorCode MatRealPart(Mat);
261: PETSC_EXTERN PetscErrorCode MatImaginaryPart(Mat);
262: PETSC_EXTERN PetscErrorCode MatGetDiagonalBlock(Mat,Mat*);
263: PETSC_EXTERN PetscErrorCode MatGetTrace(Mat,PetscScalar*);
264: PETSC_EXTERN PetscErrorCode MatInvertBlockDiagonal(Mat,const PetscScalar **);
266: /* ------------------------------------------------------------*/
267: PETSC_EXTERN PetscErrorCode MatSetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
268: PETSC_EXTERN PetscErrorCode MatSetValuesBlocked(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
269: PETSC_EXTERN PetscErrorCode MatSetValuesRow(Mat,PetscInt,const PetscScalar[]);
270: PETSC_EXTERN PetscErrorCode MatSetValuesRowLocal(Mat,PetscInt,const PetscScalar[]);
271: PETSC_EXTERN PetscErrorCode MatSetValuesBatch(Mat,PetscInt,PetscInt,PetscInt[],const PetscScalar[]);
272: PETSC_EXTERN PetscErrorCode MatSetRandom(Mat,PetscRandom);
274: /*S
275: MatStencil - Data structure (C struct) for storing information about a single row or
276: column of a matrix as indexed on an associated grid.
278: Fortran usage is different, see MatSetValuesStencil() for details.
280: Level: beginner
282: Concepts: matrix; linear operator
284: .seealso: MatSetValuesStencil(), MatSetStencil(), MatSetValuesBlockedStencil()
285: S*/
286: typedef struct {
287: PetscInt k,j,i,c;
288: } MatStencil;
290: PETSC_EXTERN PetscErrorCode MatSetValuesStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
291: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedStencil(Mat,PetscInt,const MatStencil[],PetscInt,const MatStencil[],const PetscScalar[],InsertMode);
292: PETSC_EXTERN PetscErrorCode MatSetStencil(Mat,PetscInt,const PetscInt[],const PetscInt[],PetscInt);
294: PETSC_EXTERN PetscErrorCode MatSetColoring(Mat,ISColoring);
295: PETSC_EXTERN PetscErrorCode MatSetValuesAdifor(Mat,PetscInt,void*);
297: /*E
298: MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
299: to continue to add values to it
301: Level: beginner
303: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
304: E*/
305: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
306: PETSC_EXTERN PetscErrorCode MatAssemblyBegin(Mat,MatAssemblyType);
307: PETSC_EXTERN PetscErrorCode MatAssemblyEnd(Mat,MatAssemblyType);
308: PETSC_EXTERN PetscErrorCode MatAssembled(Mat,PetscBool *);
312: /*E
313: MatOption - Options that may be set for a matrix and its behavior or storage
315: Level: beginner
317: Any additions/changes here MUST also be made in include/finclude/petscmat.h
319: Developer Notes: Entries that are negative need not be called collectively by all processes.
321: .seealso: MatSetOption()
322: E*/
323: typedef enum {MAT_OPTION_MIN = -5,
324: MAT_NEW_NONZERO_LOCATION_ERR = -4,
325: MAT_UNUSED_NONZERO_LOCATION_ERR = -3,
326: MAT_NEW_NONZERO_ALLOCATION_ERR = -2,
327: MAT_ROW_ORIENTED = -1,
328: MAT_SYMMETRIC = 1,
329: MAT_STRUCTURALLY_SYMMETRIC = 2,
330: MAT_NEW_DIAGONALS = 3,
331: MAT_IGNORE_OFF_PROC_ENTRIES = 4,
332: MAT_USE_HASH_TABLE = 5,
333: MAT_KEEP_NONZERO_PATTERN = 6,
334: MAT_IGNORE_ZERO_ENTRIES = 7,
335: MAT_USE_INODES = 8,
336: MAT_HERMITIAN = 9,
337: MAT_SYMMETRY_ETERNAL = 10,
338: MAT_DUMMY = 11,
339: MAT_IGNORE_LOWER_TRIANGULAR = 12,
340: MAT_ERROR_LOWER_TRIANGULAR = 13,
341: MAT_GETROW_UPPERTRIANGULAR = 14,
342: MAT_SPD = 15,
343: MAT_NO_OFF_PROC_ZERO_ROWS = 16,
344: MAT_NO_OFF_PROC_ENTRIES = 17,
345: MAT_NEW_NONZERO_LOCATIONS = 18,
346: MAT_OPTION_MAX = 19} MatOption;
348: PETSC_EXTERN const char *MatOptions[];
349: PETSC_EXTERN PetscErrorCode MatSetOption(Mat,MatOption,PetscBool );
350: PETSC_EXTERN PetscErrorCode MatGetType(Mat,MatType*);
352: PETSC_EXTERN PetscErrorCode MatGetValues(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],PetscScalar[]);
353: PETSC_EXTERN PetscErrorCode MatGetRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
354: PETSC_EXTERN PetscErrorCode MatRestoreRow(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
355: PETSC_EXTERN PetscErrorCode MatGetRowUpperTriangular(Mat);
356: PETSC_EXTERN PetscErrorCode MatRestoreRowUpperTriangular(Mat);
357: PETSC_EXTERN PetscErrorCode MatGetColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
358: PETSC_EXTERN PetscErrorCode MatRestoreColumn(Mat,PetscInt,PetscInt *,const PetscInt *[],const PetscScalar*[]);
359: PETSC_EXTERN PetscErrorCode MatGetColumnVector(Mat,Vec,PetscInt);
360: PETSC_EXTERN PetscErrorCode MatSeqAIJGetArray(Mat,PetscScalar *[]);
361: PETSC_EXTERN PetscErrorCode MatSeqAIJRestoreArray(Mat,PetscScalar *[]);
362: PETSC_EXTERN PetscErrorCode MatSeqAIJSetValuesLocalFast(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
363: PETSC_EXTERN PetscErrorCode MatDenseGetArray(Mat,PetscScalar *[]);
364: PETSC_EXTERN PetscErrorCode MatDenseRestoreArray(Mat,PetscScalar *[]);
365: PETSC_EXTERN PetscErrorCode MatGetBlockSize(Mat,PetscInt *);
366: PETSC_EXTERN PetscErrorCode MatSetBlockSize(Mat,PetscInt);
367: PETSC_EXTERN PetscErrorCode MatGetBlockSizes(Mat,PetscInt *,PetscInt *);
368: PETSC_EXTERN PetscErrorCode MatSetBlockSizes(Mat,PetscInt,PetscInt);
369: PETSC_EXTERN PetscErrorCode MatSetBlockSizesFromMats(Mat,Mat,Mat);
370: PETSC_EXTERN PetscErrorCode MatSetNThreads(Mat,PetscInt);
371: PETSC_EXTERN PetscErrorCode MatGetNThreads(Mat,PetscInt*);
373: PETSC_EXTERN PetscErrorCode MatMult(Mat,Vec,Vec);
374: PETSC_EXTERN PetscErrorCode MatMultDiagonalBlock(Mat,Vec,Vec);
375: PETSC_EXTERN PetscErrorCode MatMultAdd(Mat,Vec,Vec,Vec);
376: PETSC_EXTERN PetscErrorCode MatMultTranspose(Mat,Vec,Vec);
377: PETSC_EXTERN PetscErrorCode MatMultHermitianTranspose(Mat,Vec,Vec);
378: PETSC_EXTERN PetscErrorCode MatIsTranspose(Mat,Mat,PetscReal,PetscBool *);
379: PETSC_EXTERN PetscErrorCode MatIsHermitianTranspose(Mat,Mat,PetscReal,PetscBool *);
380: PETSC_EXTERN PetscErrorCode MatMultTransposeAdd(Mat,Vec,Vec,Vec);
381: PETSC_EXTERN PetscErrorCode MatMultHermitianTransposeAdd(Mat,Vec,Vec,Vec);
382: PETSC_EXTERN PetscErrorCode MatMultConstrained(Mat,Vec,Vec);
383: PETSC_EXTERN PetscErrorCode MatMultTransposeConstrained(Mat,Vec,Vec);
384: PETSC_EXTERN PetscErrorCode MatMatSolve(Mat,Mat,Mat);
385: PETSC_EXTERN PetscErrorCode MatResidual(Mat,Vec,Vec,Vec);
387: /*E
388: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
389: its numerical values copied over or just its nonzero structure.
391: Level: beginner
393: Any additions/changes here MUST also be made in include/finclude/petscmat.h
395: $ MAT_SHARE_NONZERO_PATTERN - the i and j arrays in the new matrix will be shared with the original matrix
396: $ this also triggers the MAT_DO_NOT_COPY_VALUES option. This is used when you
397: $ have several matrices with the same nonzero pattern.
399: .seealso: MatDuplicate()
400: E*/
401: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES,MAT_SHARE_NONZERO_PATTERN} MatDuplicateOption;
403: PETSC_EXTERN PetscErrorCode MatConvert(Mat,MatType,MatReuse,Mat*);
404: PETSC_EXTERN PetscErrorCode MatDuplicate(Mat,MatDuplicateOption,Mat*);
407: PETSC_EXTERN PetscErrorCode MatCopy(Mat,Mat,MatStructure);
408: PETSC_EXTERN PetscErrorCode MatView(Mat,PetscViewer);
409: PETSC_EXTERN PetscErrorCode MatIsSymmetric(Mat,PetscReal,PetscBool *);
410: PETSC_EXTERN PetscErrorCode MatIsStructurallySymmetric(Mat,PetscBool *);
411: PETSC_EXTERN PetscErrorCode MatIsHermitian(Mat,PetscReal,PetscBool *);
412: PETSC_EXTERN PetscErrorCode MatIsSymmetricKnown(Mat,PetscBool *,PetscBool *);
413: PETSC_EXTERN PetscErrorCode MatIsHermitianKnown(Mat,PetscBool *,PetscBool *);
414: PETSC_EXTERN PetscErrorCode MatMissingDiagonal(Mat,PetscBool *,PetscInt *);
415: PETSC_EXTERN PetscErrorCode MatLoad(Mat, PetscViewer);
417: PETSC_EXTERN PetscErrorCode MatGetRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
418: PETSC_EXTERN PetscErrorCode MatRestoreRowIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
419: PETSC_EXTERN PetscErrorCode MatGetColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool *);
420: PETSC_EXTERN PetscErrorCode MatRestoreColumnIJ(Mat,PetscInt,PetscBool ,PetscBool ,PetscInt *,const PetscInt *[],const PetscInt *[],PetscBool *);
422: /*S
423: MatInfo - Context of matrix information, used with MatGetInfo()
425: In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
427: Level: intermediate
429: Concepts: matrix^nonzero information
431: .seealso: MatGetInfo(), MatInfoType
432: S*/
433: typedef struct {
434: PetscLogDouble block_size; /* block size */
435: PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */
436: PetscLogDouble memory; /* memory allocated */
437: PetscLogDouble assemblies; /* number of matrix assemblies called */
438: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
439: PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
440: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
441: } MatInfo;
443: /*E
444: MatInfoType - Indicates if you want information about the local part of the matrix,
445: the entire parallel matrix or the maximum over all the local parts.
447: Level: beginner
449: Any additions/changes here MUST also be made in include/finclude/petscmat.h
451: .seealso: MatGetInfo(), MatInfo
452: E*/
453: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
454: PETSC_EXTERN PetscErrorCode MatGetInfo(Mat,MatInfoType,MatInfo*);
455: PETSC_EXTERN PetscErrorCode MatGetDiagonal(Mat,Vec);
456: PETSC_EXTERN PetscErrorCode MatGetRowMax(Mat,Vec,PetscInt[]);
457: PETSC_EXTERN PetscErrorCode MatGetRowMin(Mat,Vec,PetscInt[]);
458: PETSC_EXTERN PetscErrorCode MatGetRowMaxAbs(Mat,Vec,PetscInt[]);
459: PETSC_EXTERN PetscErrorCode MatGetRowMinAbs(Mat,Vec,PetscInt[]);
460: PETSC_EXTERN PetscErrorCode MatGetRowSum(Mat,Vec);
461: PETSC_EXTERN PetscErrorCode MatTranspose(Mat,MatReuse,Mat*);
462: PETSC_EXTERN PetscErrorCode MatHermitianTranspose(Mat,MatReuse,Mat*);
463: PETSC_EXTERN PetscErrorCode MatPermute(Mat,IS,IS,Mat *);
464: PETSC_EXTERN PetscErrorCode MatDiagonalScale(Mat,Vec,Vec);
465: PETSC_EXTERN PetscErrorCode MatDiagonalSet(Mat,Vec,InsertMode);
466: PETSC_EXTERN PetscErrorCode MatEqual(Mat,Mat,PetscBool *);
467: PETSC_EXTERN PetscErrorCode MatMultEqual(Mat,Mat,PetscInt,PetscBool *);
468: PETSC_EXTERN PetscErrorCode MatMultAddEqual(Mat,Mat,PetscInt,PetscBool *);
469: PETSC_EXTERN PetscErrorCode MatMultTransposeEqual(Mat,Mat,PetscInt,PetscBool *);
470: PETSC_EXTERN PetscErrorCode MatMultTransposeAddEqual(Mat,Mat,PetscInt,PetscBool *);
472: PETSC_EXTERN PetscErrorCode MatNorm(Mat,NormType,PetscReal *);
473: PETSC_EXTERN PetscErrorCode MatGetColumnNorms(Mat,NormType,PetscReal *);
474: PETSC_EXTERN PetscErrorCode MatZeroEntries(Mat);
475: PETSC_EXTERN PetscErrorCode MatZeroRows(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
476: PETSC_EXTERN PetscErrorCode MatZeroRowsIS(Mat,IS,PetscScalar,Vec,Vec);
477: PETSC_EXTERN PetscErrorCode MatZeroRowsStencil(Mat,PetscInt,const MatStencil [],PetscScalar,Vec,Vec);
478: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsStencil(Mat,PetscInt,const MatStencil[],PetscScalar,Vec,Vec);
479: PETSC_EXTERN PetscErrorCode MatZeroRowsColumns(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
480: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsIS(Mat,IS,PetscScalar,Vec,Vec);
482: PETSC_EXTERN PetscErrorCode MatGetSize(Mat,PetscInt*,PetscInt*);
483: PETSC_EXTERN PetscErrorCode MatGetLocalSize(Mat,PetscInt*,PetscInt*);
484: PETSC_EXTERN PetscErrorCode MatGetOwnershipRange(Mat,PetscInt*,PetscInt*);
485: PETSC_EXTERN PetscErrorCode MatGetOwnershipRanges(Mat,const PetscInt**);
486: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangeColumn(Mat,PetscInt*,PetscInt*);
487: PETSC_EXTERN PetscErrorCode MatGetOwnershipRangesColumn(Mat,const PetscInt**);
488: PETSC_EXTERN PetscErrorCode MatGetOwnershipIS(Mat,IS*,IS*);
490: PETSC_EXTERN PetscErrorCode MatGetSubMatrices(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
491: PETSC_EXTERN PetscErrorCode MatGetSubMatricesParallel(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
492: PETSC_EXTERN PetscErrorCode MatDestroyMatrices(PetscInt,Mat *[]);
493: PETSC_EXTERN PetscErrorCode MatGetSubMatrix(Mat,IS,IS,MatReuse,Mat *);
494: PETSC_EXTERN PetscErrorCode MatGetLocalSubMatrix(Mat,IS,IS,Mat*);
495: PETSC_EXTERN PetscErrorCode MatRestoreLocalSubMatrix(Mat,IS,IS,Mat*);
496: PETSC_EXTERN PetscErrorCode MatGetSeqNonzeroStructure(Mat,Mat*);
497: PETSC_EXTERN PetscErrorCode MatDestroySeqNonzeroStructure(Mat*);
499: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJ(MPI_Comm,Mat,PetscInt,MatReuse,Mat*);
500: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,Mat*);
501: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJConcatenateSeqAIJNumeric(MPI_Comm,Mat,PetscInt,Mat);
502: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJ(MPI_Comm,Mat,PetscInt,PetscInt,MatReuse,Mat*);
503: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJSymbolic(MPI_Comm,Mat,PetscInt,PetscInt,Mat*);
504: PETSC_EXTERN PetscErrorCode MatCreateMPIAIJSumSeqAIJNumeric(Mat,Mat);
505: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMat(Mat,MatReuse,Mat*);
506: PETSC_EXTERN PetscErrorCode MatMPIAIJGetLocalMatCondensed(Mat,MatReuse,IS*,IS*,Mat*);
507: PETSC_EXTERN PetscErrorCode MatGetBrowsOfAcols(Mat,Mat,MatReuse,IS*,IS*,Mat*);
508: PETSC_EXTERN PetscErrorCode MatGetGhosts(Mat, PetscInt *,const PetscInt *[]);
510: PETSC_EXTERN PetscErrorCode MatIncreaseOverlap(Mat,PetscInt,IS[],PetscInt);
512: PETSC_EXTERN PetscErrorCode MatMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
513: PETSC_EXTERN PetscErrorCode MatMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
514: PETSC_EXTERN PetscErrorCode MatMatMultNumeric(Mat,Mat,Mat);
516: PETSC_EXTERN PetscErrorCode MatMatMatMult(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
517: PETSC_EXTERN PetscErrorCode MatMatMatMultSymbolic(Mat,Mat,Mat,PetscReal,Mat*);
518: PETSC_EXTERN PetscErrorCode MatMatMatMultNumeric(Mat,Mat,Mat,Mat);
520: PETSC_EXTERN PetscErrorCode MatPtAP(Mat,Mat,MatReuse,PetscReal,Mat*);
521: PETSC_EXTERN PetscErrorCode MatPtAPSymbolic(Mat,Mat,PetscReal,Mat*);
522: PETSC_EXTERN PetscErrorCode MatPtAPNumeric(Mat,Mat,Mat);
523: PETSC_EXTERN PetscErrorCode MatRARt(Mat,Mat,MatReuse,PetscReal,Mat*);
524: PETSC_EXTERN PetscErrorCode MatRARtSymbolic(Mat,Mat,PetscReal,Mat*);
525: PETSC_EXTERN PetscErrorCode MatRARtNumeric(Mat,Mat,Mat);
527: PETSC_EXTERN PetscErrorCode MatTransposeMatMult(Mat,Mat,MatReuse,PetscReal,Mat*);
528: PETSC_EXTERN PetscErrorCode MatTransposetMatMultSymbolic(Mat,Mat,PetscReal,Mat*);
529: PETSC_EXTERN PetscErrorCode MatTransposetMatMultNumeric(Mat,Mat,Mat);
530: PETSC_EXTERN PetscErrorCode MatMatTransposeMult(Mat,Mat,MatReuse,PetscReal,Mat*);
531: PETSC_EXTERN PetscErrorCode MatMatTransposeMultSymbolic(Mat,Mat,PetscReal,Mat*);
532: PETSC_EXTERN PetscErrorCode MatMatTransposeMultNumeric(Mat,Mat,Mat);
534: PETSC_EXTERN PetscErrorCode MatAXPY(Mat,PetscScalar,Mat,MatStructure);
535: PETSC_EXTERN PetscErrorCode MatAYPX(Mat,PetscScalar,Mat,MatStructure);
537: PETSC_EXTERN PetscErrorCode MatScale(Mat,PetscScalar);
538: PETSC_EXTERN PetscErrorCode MatShift(Mat,PetscScalar);
540: PETSC_EXTERN PetscErrorCode MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping,ISLocalToGlobalMapping);
541: PETSC_EXTERN PetscErrorCode MatGetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping*,ISLocalToGlobalMapping*);
542: PETSC_EXTERN PetscErrorCode MatGetLayouts(Mat,PetscLayout*,PetscLayout*);
543: PETSC_EXTERN PetscErrorCode MatZeroRowsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
544: PETSC_EXTERN PetscErrorCode MatZeroRowsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
545: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocal(Mat,PetscInt,const PetscInt [],PetscScalar,Vec,Vec);
546: PETSC_EXTERN PetscErrorCode MatZeroRowsColumnsLocalIS(Mat,IS,PetscScalar,Vec,Vec);
547: PETSC_EXTERN PetscErrorCode MatSetValuesLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
548: PETSC_EXTERN PetscErrorCode MatSetValuesBlockedLocal(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode);
550: PETSC_EXTERN PetscErrorCode MatStashSetInitialSize(Mat,PetscInt,PetscInt);
551: PETSC_EXTERN PetscErrorCode MatStashGetInfo(Mat,PetscInt*,PetscInt*,PetscInt*,PetscInt*);
553: PETSC_EXTERN PetscErrorCode MatInterpolate(Mat,Vec,Vec);
554: PETSC_EXTERN PetscErrorCode MatInterpolateAdd(Mat,Vec,Vec,Vec);
555: PETSC_EXTERN PetscErrorCode MatRestrict(Mat,Vec,Vec);
556: PETSC_EXTERN PetscErrorCode MatGetVecs(Mat,Vec*,Vec*);
557: PETSC_EXTERN PetscErrorCode MatGetRedundantMatrix(Mat,PetscInt,MPI_Comm,MatReuse,Mat*);
558: PETSC_EXTERN PetscErrorCode MatGetMultiProcBlock(Mat,MPI_Comm,MatReuse,Mat*);
559: PETSC_EXTERN PetscErrorCode MatFindZeroDiagonals(Mat,IS*);
560: PETSC_EXTERN PetscErrorCode MatFindOffBlockDiagonalEntries(Mat,IS*);
562: /*MC
563: MatSetValue - Set a single entry into a matrix.
565: Not collective
567: Input Parameters:
568: + m - the matrix
569: . row - the row location of the entry
570: . col - the column location of the entry
571: . value - the value to insert
572: - mode - either INSERT_VALUES or ADD_VALUES
574: Notes:
575: For efficiency one should use MatSetValues() and set several or many
576: values simultaneously if possible.
578: Level: beginner
580: .seealso: MatSetValues(), MatSetValueLocal()
581: M*/
582: PETSC_STATIC_INLINE PetscErrorCode MatSetValue(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValues(v,1,&i,1,&j,&va,mode);}
584: PETSC_STATIC_INLINE PetscErrorCode MatGetValue(Mat v,PetscInt i,PetscInt j,PetscScalar *va) {return MatGetValues(v,1,&i,1,&j,va);}
586: PETSC_STATIC_INLINE PetscErrorCode MatSetValueLocal(Mat v,PetscInt i,PetscInt j,PetscScalar va,InsertMode mode) {return MatSetValuesLocal(v,1,&i,1,&j,&va,mode);}
588: /*MC
589: MatPreallocateInitialize - Begins the block of code that will count the number of nonzeros per
590: row in a matrix providing the data that one can use to correctly preallocate the matrix.
592: Synopsis:
593: #include <petscmat.h>
594: PetscErrorCode MatPreallocateInitialize(MPI_Comm comm, PetscInt nrows, PetscInt ncols, PetscInt *dnz, PetscInt *onz)
596: Collective on MPI_Comm
598: Input Parameters:
599: + comm - the communicator that will share the eventually allocated matrix
600: . nrows - the number of LOCAL rows in the matrix
601: - ncols - the number of LOCAL columns in the matrix
603: Output Parameters:
604: + dnz - the array that will be passed to the matrix preallocation routines
605: - ozn - the other array passed to the matrix preallocation routines
607: Level: intermediate
609: Notes:
610: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
612: Do not malloc or free dnz and onz, that is handled internally by these routines
614: Use MatPreallocateInitializeSymmetric() for symmetric matrices (MPISBAIJ matrices)
616: This is a MACRO not a function because it has a leading { that is closed by PetscPreallocateFinalize().
618: Concepts: preallocation^Matrix
620: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
621: MatPreallocateInitializeSymmetric(), MatPreallocateSymmetricSetLocalBlock()
622: M*/
623: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0; \
624: { \
625: PetscErrorCode _4_ierr; PetscInt __nrows = (nrows),__ctmp = (ncols),__rstart,__start,__end; \
626: _4_PetscCalloc2(__nrows,&dnz,__nrows,&onz);CHKERRQ(_4_ierr); \
627: __start = 0; __end = __start; \
628: _4_MPI_Scan(&__ctmp,&__end,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ctmp;\
629: _4_MPI_Scan(&__nrows,&__rstart,1,MPIU_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __nrows;
631: /*MC
632: MatPreallocateSetLocal - Indicates the locations (rows and columns) in the matrix where nonzeros will be
633: inserted using a local number of the rows and columns
635: Synopsis:
636: #include <petscmat.h>
637: PetscErrorCode MatPreallocateSetLocal(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
639: Not Collective
641: Input Parameters:
642: + map - the row mapping from local numbering to global numbering
643: . nrows - the number of rows indicated
644: . rows - the indices of the rows
645: . cmap - the column mapping from local to global numbering
646: . ncols - the number of columns in the matrix
647: . cols - the columns indicated
648: . dnz - the array that will be passed to the matrix preallocation routines
649: - ozn - the other array passed to the matrix preallocation routines
651: Level: intermediate
653: Notes:
654: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
656: Do not malloc or free dnz and onz, that is handled internally by these routines
658: Concepts: preallocation^Matrix
660: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateInitialize(),
661: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
662: M*/
663: #define MatPreallocateSetLocal(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
664: {\
665: PetscInt __l;\
666: _4_ISLocalToGlobalMappingApply(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
667: _4_ISLocalToGlobalMappingApply(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
668: for (__l=0;__l<nrows;__l++) {\
669: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
670: }\
671: }
673: /*MC
674: MatPreallocateSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
675: inserted using a local number of the rows and columns
677: Synopsis:
678: #include <petscmat.h>
679: PetscErrorCode MatPreallocateSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
681: Not Collective
683: Input Parameters:
684: + map - the row mapping from local numbering to global numbering
685: . nrows - the number of rows indicated
686: . rows - the indices of the rows
687: . cmap - the column mapping from local to global numbering
688: . ncols - the number of columns in the matrix
689: . cols - the columns indicated
690: . dnz - the array that will be passed to the matrix preallocation routines
691: - ozn - the other array passed to the matrix preallocation routines
693: Level: intermediate
695: Notes:
696: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
698: Do not malloc or free dnz and onz, that is handled internally by these routines
700: Concepts: preallocation^Matrix
702: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateInitialize(),
703: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock()
704: M*/
705: #define MatPreallocateSetLocalBlock(rmap,nrows,rows,cmap,ncols,cols,dnz,onz) 0; \
706: {\
707: PetscInt __l;\
708: _4_ISLocalToGlobalMappingApplyBlock(rmap,nrows,rows,rows);CHKERRQ(_4_ierr);\
709: _4_ISLocalToGlobalMappingApplyBlock(cmap,ncols,cols,cols);CHKERRQ(_4_ierr);\
710: for (__l=0;__l<nrows;__l++) {\
711: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
712: }\
713: }
715: /*MC
716: MatPreallocateSymmetricSetLocalBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
717: inserted using a local number of the rows and columns
719: Synopsis:
720: #include <petscmat.h>
721: PetscErrorCode MatPreallocateSymmetricSetLocalBlock(ISLocalToGlobalMappping map,PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
723: Not Collective
725: Input Parameters:
726: + map - the mapping between local numbering and global numbering
727: . nrows - the number of rows indicated
728: . rows - the indices of the rows
729: . ncols - the number of columns in the matrix
730: . cols - the columns indicated
731: . dnz - the array that will be passed to the matrix preallocation routines
732: - ozn - the other array passed to the matrix preallocation routines
734: Level: intermediate
736: Notes:
737: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
739: Do not malloc or free dnz and onz that is handled internally by these routines
741: Concepts: preallocation^Matrix
743: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateInitialize(),
744: MatPreallocateInitialize(), MatPreallocateSetLocal()
745: M*/
746: #define MatPreallocateSymmetricSetLocalBlock(map,nrows,rows,ncols,cols,dnz,onz) 0;\
747: {\
748: PetscInt __l;\
749: _4_ISLocalToGlobalMappingApplyBlock(map,nrows,rows,rows);CHKERRQ(_4_ierr);\
750: _4_ISLocalToGlobalMappingApplyBlock(map,ncols,cols,cols);CHKERRQ(_4_ierr);\
751: for (__l=0;__l<nrows;__l++) {\
752: _4_MatPreallocateSymmetricSetBlock((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);\
753: }\
754: }
755: /*MC
756: MatPreallocateSet - Indicates the locations (rows and columns) in the matrix where nonzeros will be
757: inserted using a local number of the rows and columns
759: Synopsis:
760: #include <petscmat.h>
761: PetscErrorCode MatPreallocateSet(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
763: Not Collective
765: Input Parameters:
766: + row - the row
767: . ncols - the number of columns in the matrix
768: - cols - the columns indicated
770: Output Parameters:
771: + dnz - the array that will be passed to the matrix preallocation routines
772: - ozn - the other array passed to the matrix preallocation routines
774: Level: intermediate
776: Notes:
777: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
779: Do not malloc or free dnz and onz that is handled internally by these routines
781: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
783: Concepts: preallocation^Matrix
785: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateInitialize(),
786: MatPreallocateInitialize(), MatPreallocateSetLocal()
787: M*/
788: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;\
789: { PetscInt __i; \
790: if (row < __rstart) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D less than first local row %D",row,__rstart);\
791: if (row >= __rstart+__nrows) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Trying to set preallocation for row %D greater than last local row %D",row,__rstart+__nrows-1);\
792: for (__i=0; __i<nc; __i++) {\
793: if ((cols)[__i] < __start || (cols)[__i] >= __end) onz[row - __rstart]++; \
794: else dnz[row - __rstart]++;\
795: }\
796: }
798: /*MC
799: MatPreallocateSymmetricSetBlock - Indicates the locations (rows and columns) in the matrix where nonzeros will be
800: inserted using a local number of the rows and columns
802: Synopsis:
803: #include <petscmat.h>
804: PetscErrorCode MatPreallocateSymmetricSetBlock(PetscInt nrows, PetscInt *rows,PetscInt ncols, PetscInt *cols,PetscInt *dnz, PetscInt *onz)
806: Not Collective
808: Input Parameters:
809: + nrows - the number of rows indicated
810: . rows - the indices of the rows
811: . ncols - the number of columns in the matrix
812: . cols - the columns indicated
813: . dnz - the array that will be passed to the matrix preallocation routines
814: - ozn - the other array passed to the matrix preallocation routines
816: Level: intermediate
818: Notes:
819: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
821: Do not malloc or free dnz and onz that is handled internally by these routines
823: This is a MACRO not a function because it uses variables declared in MatPreallocateInitialize().
825: Concepts: preallocation^Matrix
827: .seealso: MatPreallocateFinalize(), MatPreallocateSet(), MatPreallocateInitialize(),
828: MatPreallocateInitialize(), MatPreallocateSymmetricSetLocalBlock(), MatPreallocateSetLocal()
829: M*/
830: #define MatPreallocateSymmetricSetBlock(row,nc,cols,dnz,onz) 0;\
831: { PetscInt __i; \
832: for (__i=0; __i<nc; __i++) {\
833: if (cols[__i] >= __end) onz[row - __rstart]++; \
834: else if (cols[__i] >= row) dnz[row - __rstart]++;\
835: }\
836: }
838: /*MC
839: MatPreallocateLocation - An alternative to MatPreallocationSet() that puts the nonzero locations into the matrix if it exists
841: Synopsis:
842: #include <petscmat.h>
843: PetscErrorCode MatPreallocateLocations(Mat A,PetscInt row,PetscInt ncols,PetscInt *cols,PetscInt *dnz,PetscInt *onz)
845: Not Collective
847: Input Parameters:
848: . A - matrix
849: . row - row where values exist (must be local to this process)
850: . ncols - number of columns
851: . cols - columns with nonzeros
852: . dnz - the array that will be passed to the matrix preallocation routines
853: - ozn - the other array passed to the matrix preallocation routines
855: Level: intermediate
857: Notes:
858: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
860: Do not malloc or free dnz and onz that is handled internally by these routines
862: This is a MACRO not a function because it uses a bunch of variables private to the MatPreallocation.... routines.
864: Concepts: preallocation^Matrix
866: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
867: MatPreallocateSymmetricSetLocalBlock()
868: M*/
869: #define MatPreallocateLocation(A,row,ncols,cols,dnz,onz) 0;if (A) {MatSetValues(A,1,&row,ncols,cols,NULL,INSERT_VALUES);} else { MatPreallocateSet(row,ncols,cols,dnz,onz);}
872: /*MC
873: MatPreallocateFinalize - Ends the block of code that will count the number of nonzeros per
874: row in a matrix providing the data that one can use to correctly preallocate the matrix.
876: Synopsis:
877: #include <petscmat.h>
878: PetscErrorCode MatPreallocateFinalize(PetscInt *dnz, PetscInt *onz)
880: Collective on MPI_Comm
882: Input Parameters:
883: + dnz - the array that was be passed to the matrix preallocation routines
884: - ozn - the other array passed to the matrix preallocation routines
886: Level: intermediate
888: Notes:
889: See Users-Manual: Chapter 13 Hints for Performance Tuning for more details.
891: Do not malloc or free dnz and onz that is handled internally by these routines
893: This is a MACRO not a function because it closes the { started in MatPreallocateInitialize().
895: Concepts: preallocation^Matrix
897: .seealso: MatPreallocateInitialize(), MatPreallocateSet(), MatPreallocateSymmetricSetBlock(), MatPreallocateSetLocal(),
898: MatPreallocateSymmetricSetLocalBlock()
899: M*/
900: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree2(dnz,onz);CHKERRQ(_4_ierr);}
902: /* Routines unique to particular data structures */
903: PETSC_EXTERN PetscErrorCode MatShellGetContext(Mat,void *);
905: PETSC_EXTERN PetscErrorCode MatInodeAdjustForInodes(Mat,IS*,IS*);
906: PETSC_EXTERN PetscErrorCode MatInodeGetInodeSizes(Mat,PetscInt *,PetscInt *[],PetscInt *);
908: PETSC_EXTERN PetscErrorCode MatSeqAIJSetColumnIndices(Mat,PetscInt[]);
909: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetColumnIndices(Mat,PetscInt[]);
910: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
911: PETSC_EXTERN PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
912: PETSC_EXTERN PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*);
913: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJFromTriple(MPI_Comm,PetscInt,PetscInt,PetscInt[],PetscInt[],PetscScalar[],Mat*,PetscInt,PetscBool);
915: #define MAT_SKIP_ALLOCATION -4
917: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
918: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[]);
919: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation(Mat,PetscInt,const PetscInt[]);
921: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
922: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetPreallocation(Mat,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
923: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocation(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
924: PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocationCSR(Mat,const PetscInt [],const PetscInt [],const PetscScalar []);
925: PETSC_EXTERN PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
926: PETSC_EXTERN PetscErrorCode MatMPIAIJSetPreallocationCSR(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
927: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetPreallocationCSR(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]);
928: PETSC_EXTERN PetscErrorCode MatMPIAdjSetPreallocation(Mat,PetscInt[],PetscInt[],PetscInt[]);
929: PETSC_EXTERN PetscErrorCode MatMPIDenseSetPreallocation(Mat,PetscScalar[]);
930: PETSC_EXTERN PetscErrorCode MatSeqDenseSetPreallocation(Mat,PetscScalar[]);
931: PETSC_EXTERN PetscErrorCode MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
932: PETSC_EXTERN PetscErrorCode MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,const PetscInt*[]);
933: PETSC_EXTERN PetscErrorCode MatMPIAdjCreateNonemptySubcommMat(Mat,Mat*);
935: PETSC_EXTERN PetscErrorCode MatSeqDenseSetLDA(Mat,PetscInt);
936: PETSC_EXTERN PetscErrorCode MatDenseGetLocalMatrix(Mat,Mat*);
938: PETSC_EXTERN PetscErrorCode MatStoreValues(Mat);
939: PETSC_EXTERN PetscErrorCode MatRetrieveValues(Mat);
941: PETSC_EXTERN PetscErrorCode MatDAADSetCtx(Mat,void*);
943: PETSC_EXTERN PetscErrorCode MatFindNonzeroRows(Mat,IS*);
944: /*
945: These routines are not usually accessed directly, rather solving is
946: done through the KSP and PC interfaces.
947: */
949: /*J
950: MatOrderingType - String with the name of a PETSc matrix ordering
952: Level: beginner
954: .seealso: MatGetOrdering()
955: J*/
956: typedef const char* MatOrderingType;
957: #define MATORDERINGNATURAL "natural"
958: #define MATORDERINGND "nd"
959: #define MATORDERING1WD "1wd"
960: #define MATORDERINGRCM "rcm"
961: #define MATORDERINGQMD "qmd"
962: #define MATORDERINGROWLENGTH "rowlength"
963: #define MATORDERINGWBM "wbm"
964: #define MATORDERINGSPECTRAL "spectral"
965: #define MATORDERINGAMD "amd" /* only works if UMFPACK is installed with PETSc */
967: PETSC_EXTERN PetscErrorCode MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
968: PETSC_EXTERN PetscErrorCode MatGetOrderingList(PetscFunctionList*);
969: PETSC_EXTERN PetscErrorCode MatOrderingRegister(const char[],PetscErrorCode(*)(Mat,MatOrderingType,IS*,IS*));
970: PETSC_EXTERN PetscErrorCode MatOrderingRegisterAll(void);
971: PETSC_EXTERN PetscBool MatOrderingRegisterAllCalled;
972: PETSC_EXTERN PetscFunctionList MatOrderingList;
974: PETSC_EXTERN PetscErrorCode MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
975: PETSC_EXTERN PetscErrorCode MatCreateLaplacian(Mat,PetscReal,PetscBool,Mat*);
977: /*S
978: MatFactorShiftType - Numeric Shift.
980: Level: beginner
982: S*/
983: typedef enum {MAT_SHIFT_NONE,MAT_SHIFT_NONZERO,MAT_SHIFT_POSITIVE_DEFINITE,MAT_SHIFT_INBLOCKS} MatFactorShiftType;
984: PETSC_EXTERN const char *const MatFactorShiftTypes[];
985: PETSC_EXTERN const char *const MatFactorShiftTypesDetail[];
987: /*S
988: MatFactorInfo - Data passed into the matrix factorization routines
990: In Fortran these are simply double precision arrays of size MAT_FACTORINFO_SIZE, that is use
991: $ MatFactorInfo info(MAT_FACTORINFO_SIZE)
993: Notes: These are not usually directly used by users, instead use PC type of LU, ILU, CHOLESKY or ICC.
995: You can use MatFactorInfoInitialize() to set default values.
997: Level: developer
999: .seealso: MatLUFactorSymbolic(), MatILUFactorSymbolic(), MatCholeskyFactorSymbolic(), MatICCFactorSymbolic(), MatICCFactor(),
1000: MatFactorInfoInitialize()
1002: S*/
1003: typedef struct {
1004: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
1005: PetscReal usedt;
1006: PetscReal dt; /* drop tolerance */
1007: PetscReal dtcol; /* tolerance for pivoting */
1008: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
1009: PetscReal fill; /* expected fill, nonzeros in factored matrix/nonzeros in original matrix */
1010: PetscReal levels; /* ICC/ILU(levels) */
1011: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
1012: factorization may be faster if do not pivot */
1013: PetscReal zeropivot; /* pivot is called zero if less than this */
1014: PetscReal shifttype; /* type of shift added to matrix factor to prevent zero pivots */
1015: PetscReal shiftamount; /* how large the shift is */
1016: } MatFactorInfo;
1018: PETSC_EXTERN PetscErrorCode MatFactorInfoInitialize(MatFactorInfo*);
1019: PETSC_EXTERN PetscErrorCode MatCholeskyFactor(Mat,IS,const MatFactorInfo*);
1020: PETSC_EXTERN PetscErrorCode MatCholeskyFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1021: PETSC_EXTERN PetscErrorCode MatCholeskyFactorNumeric(Mat,Mat,const MatFactorInfo*);
1022: PETSC_EXTERN PetscErrorCode MatLUFactor(Mat,IS,IS,const MatFactorInfo*);
1023: PETSC_EXTERN PetscErrorCode MatILUFactor(Mat,IS,IS,const MatFactorInfo*);
1024: PETSC_EXTERN PetscErrorCode MatLUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1025: PETSC_EXTERN PetscErrorCode MatILUFactorSymbolic(Mat,Mat,IS,IS,const MatFactorInfo*);
1026: PETSC_EXTERN PetscErrorCode MatICCFactorSymbolic(Mat,Mat,IS,const MatFactorInfo*);
1027: PETSC_EXTERN PetscErrorCode MatICCFactor(Mat,IS,const MatFactorInfo*);
1028: PETSC_EXTERN PetscErrorCode MatLUFactorNumeric(Mat,Mat,const MatFactorInfo*);
1029: PETSC_EXTERN PetscErrorCode MatGetInertia(Mat,PetscInt*,PetscInt*,PetscInt*);
1030: PETSC_EXTERN PetscErrorCode MatSolve(Mat,Vec,Vec);
1031: PETSC_EXTERN PetscErrorCode MatForwardSolve(Mat,Vec,Vec);
1032: PETSC_EXTERN PetscErrorCode MatBackwardSolve(Mat,Vec,Vec);
1033: PETSC_EXTERN PetscErrorCode MatSolveAdd(Mat,Vec,Vec,Vec);
1034: PETSC_EXTERN PetscErrorCode MatSolveTranspose(Mat,Vec,Vec);
1035: PETSC_EXTERN PetscErrorCode MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
1036: PETSC_EXTERN PetscErrorCode MatSolves(Mat,Vecs,Vecs);
1038: PETSC_EXTERN PetscErrorCode MatSetUnfactored(Mat);
1040: /*E
1041: MatSORType - What type of (S)SOR to perform
1043: Level: beginner
1045: May be bitwise ORd together
1047: Any additions/changes here MUST also be made in include/finclude/petscmat.h
1049: MatSORType may be bitwise ORd together, so do not change the numbers
1051: .seealso: MatSOR()
1052: E*/
1053: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
1054: SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
1055: SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
1056: SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
1057: PETSC_EXTERN PetscErrorCode MatSOR(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec);
1059: /*
1060: These routines are for efficiently computing Jacobians via finite differences.
1061: */
1063: /*S
1064: MatColoring - Object for managing the coloring of matrices.
1066: Level: beginner
1068: Concepts: matrix, coloring
1070: .seealso: MatFDColoringCreate() ISColoring MatFDColoring
1071: S*/
1072: typedef struct _p_MatColoring* MatColoring;
1073: /*J
1074: MatColoringType - String with the name of a PETSc matrix coloring
1076: Level: beginner
1078: .seealso: MatColoringSetType(), MatColoring
1079: J*/
1081: typedef const char* MatColoringType;
1082: #define MATCOLORINGJP "jp"
1083: #define MATCOLORINGPOWER "power"
1084: #define MATCOLORINGNATURAL "natural"
1085: #define MATCOLORINGSL "sl"
1086: #define MATCOLORINGLF "lf"
1087: #define MATCOLORINGID "id"
1088: #define MATCOLORINGGREEDY "greedy"
1090: /*E
1091: MatColoringWeightType - Type of weight scheme
1093: Not Collective
1095: + MAT_COLORING_RANDOM - Random weights
1096: . MAT_COLORING_LEXICAL - Lexical weighting based upon global numbering.
1097: - MAT_COLORING_LF - Last-first weighting.
1099: Level: intermediate
1101: Any additions/changes here MUST also be made in include/finclude/petscmat.h
1103: .seealso: MatCUSPSetFormat(), MatCUSPFormatOperation
1104: E*/
1105: typedef enum {MAT_COLORING_WEIGHT_RANDOM,MAT_COLORING_WEIGHT_LEXICAL,MAT_COLORING_WEIGHT_LF,MAT_COLORING_WEIGHT_SL} MatColoringWeightType;
1107: PETSC_EXTERN PetscErrorCode MatColoringCreate(Mat,MatColoring*);
1108: PETSC_EXTERN PetscErrorCode MatColoringGetDegrees(Mat,PetscInt,PetscInt*);
1109: PETSC_EXTERN PetscErrorCode MatColoringDestroy(MatColoring*);
1110: PETSC_EXTERN PetscErrorCode MatColoringView(MatColoring,PetscViewer);
1111: PETSC_EXTERN PetscErrorCode MatColoringSetType(MatColoring,MatColoringType);
1112: PETSC_EXTERN PetscErrorCode MatColoringSetFromOptions(MatColoring);
1113: PETSC_EXTERN PetscErrorCode MatColoringSetDistance(MatColoring,PetscInt);
1114: PETSC_EXTERN PetscErrorCode MatColoringGetDistance(MatColoring,PetscInt*);
1115: PETSC_EXTERN PetscErrorCode MatColoringSetMaxColors(MatColoring,PetscInt);
1116: PETSC_EXTERN PetscErrorCode MatColoringGetMaxColors(MatColoring,PetscInt*);
1117: PETSC_EXTERN PetscErrorCode MatColoringApply(MatColoring,ISColoring*);
1118: PETSC_EXTERN PetscErrorCode MatColoringRegisterAll(void);
1119: PETSC_EXTERN PetscErrorCode MatColoringRegister(const char[],PetscErrorCode(*)(MatColoring));
1120: PETSC_EXTERN PetscBool MatColoringRegisterAllCalled;
1121: PETSC_EXTERN PetscErrorCode MatColoringPatch(Mat,PetscInt,PetscInt,ISColoringValue[],ISColoring*);
1122: PETSC_EXTERN PetscErrorCode MatColoringSetWeightType(MatColoring,MatColoringWeightType);
1123: PETSC_EXTERN PetscErrorCode MatColoringSetWeights(MatColoring,PetscReal*,PetscInt*);
1124: PETSC_EXTERN PetscErrorCode MatColoringCreateWeights(MatColoring,PetscReal **,PetscInt **lperm);
1126: /*S
1127: MatFDColoring - Object for computing a sparse Jacobian via finite differences
1128: and coloring
1130: Level: beginner
1132: Concepts: coloring, sparse Jacobian, finite differences
1134: .seealso: MatFDColoringCreate()
1135: S*/
1136: typedef struct _p_MatFDColoring* MatFDColoring;
1138: PETSC_EXTERN PetscErrorCode MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
1139: PETSC_EXTERN PetscErrorCode MatFDColoringDestroy(MatFDColoring*);
1140: PETSC_EXTERN PetscErrorCode MatFDColoringView(MatFDColoring,PetscViewer);
1141: PETSC_EXTERN PetscErrorCode MatFDColoringSetFunction(MatFDColoring,PetscErrorCode (*)(void),void*);
1142: PETSC_EXTERN PetscErrorCode MatFDColoringGetFunction(MatFDColoring,PetscErrorCode (**)(void),void**);
1143: PETSC_EXTERN PetscErrorCode MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
1144: PETSC_EXTERN PetscErrorCode MatFDColoringSetFromOptions(MatFDColoring);
1145: PETSC_EXTERN PetscErrorCode MatFDColoringApply(Mat,MatFDColoring,Vec,void *);
1146: PETSC_EXTERN PetscErrorCode MatFDColoringSetF(MatFDColoring,Vec);
1147: PETSC_EXTERN PetscErrorCode MatFDColoringGetPerturbedColumns(MatFDColoring,PetscInt*,PetscInt*[]);
1148: PETSC_EXTERN PetscErrorCode MatFDColoringSetUp(Mat,ISColoring,MatFDColoring);
1149: PETSC_EXTERN PetscErrorCode MatFDColoringSetBlockSize(MatFDColoring,PetscInt,PetscInt);
1152: /*S
1153: MatTransposeColoring - Object for computing a sparse matrix product C=A*B^T via coloring
1155: Level: beginner
1157: Concepts: coloring, sparse matrix product
1159: .seealso: MatTransposeColoringCreate()
1160: S*/
1161: typedef struct _p_MatTransposeColoring* MatTransposeColoring;
1163: PETSC_EXTERN PetscErrorCode MatTransposeColoringCreate(Mat,ISColoring,MatTransposeColoring *);
1164: PETSC_EXTERN PetscErrorCode MatTransColoringApplySpToDen(MatTransposeColoring,Mat,Mat);
1165: PETSC_EXTERN PetscErrorCode MatTransColoringApplyDenToSp(MatTransposeColoring,Mat,Mat);
1166: PETSC_EXTERN PetscErrorCode MatTransposeColoringDestroy(MatTransposeColoring*);
1168: /*
1169: These routines are for partitioning matrices: currently used only
1170: for adjacency matrix, MatCreateMPIAdj().
1171: */
1173: /*S
1174: MatPartitioning - Object for managing the partitioning of a matrix or graph
1176: Level: beginner
1178: Concepts: partitioning
1180: .seealso: MatPartitioningCreate(), MatPartitioningType
1181: S*/
1182: typedef struct _p_MatPartitioning* MatPartitioning;
1184: /*J
1185: MatPartitioningType - String with the name of a PETSc matrix partitioning
1187: Level: beginner
1188: dm
1189: .seealso: MatPartitioningCreate(), MatPartitioning
1190: J*/
1191: typedef const char* MatPartitioningType;
1192: #define MATPARTITIONINGCURRENT "current"
1193: #define MATPARTITIONINGSQUARE "square"
1194: #define MATPARTITIONINGPARMETIS "parmetis"
1195: #define MATPARTITIONINGCHACO "chaco"
1196: #define MATPARTITIONINGPARTY "party"
1197: #define MATPARTITIONINGPTSCOTCH "ptscotch"
1200: PETSC_EXTERN PetscErrorCode MatPartitioningCreate(MPI_Comm,MatPartitioning*);
1201: PETSC_EXTERN PetscErrorCode MatPartitioningSetType(MatPartitioning,MatPartitioningType);
1202: PETSC_EXTERN PetscErrorCode MatPartitioningSetNParts(MatPartitioning,PetscInt);
1203: PETSC_EXTERN PetscErrorCode MatPartitioningSetAdjacency(MatPartitioning,Mat);
1204: PETSC_EXTERN PetscErrorCode MatPartitioningSetVertexWeights(MatPartitioning,const PetscInt[]);
1205: PETSC_EXTERN PetscErrorCode MatPartitioningSetPartitionWeights(MatPartitioning,const PetscReal []);
1206: PETSC_EXTERN PetscErrorCode MatPartitioningApply(MatPartitioning,IS*);
1207: PETSC_EXTERN PetscErrorCode MatPartitioningDestroy(MatPartitioning*);
1209: PETSC_EXTERN PetscErrorCode MatPartitioningRegister(const char[],PetscErrorCode (*)(MatPartitioning));
1211: PETSC_EXTERN PetscBool MatPartitioningRegisterAllCalled;
1213: PETSC_EXTERN PetscErrorCode MatPartitioningRegisterAll(void);
1215: PETSC_EXTERN PetscErrorCode MatPartitioningView(MatPartitioning,PetscViewer);
1216: PETSC_EXTERN PetscErrorCode MatPartitioningSetFromOptions(MatPartitioning);
1217: PETSC_EXTERN PetscErrorCode MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
1219: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
1220: PETSC_EXTERN PetscErrorCode MatPartitioningParmetisGetEdgeCut(MatPartitioning, PetscInt *);
1222: typedef enum { MP_CHACO_MULTILEVEL=1,MP_CHACO_SPECTRAL=2,MP_CHACO_LINEAR=4,MP_CHACO_RANDOM=5,MP_CHACO_SCATTERED=6 } MPChacoGlobalType;
1223: PETSC_EXTERN const char *const MPChacoGlobalTypes[];
1224: typedef enum { MP_CHACO_KERNIGHAN=1,MP_CHACO_NONE=2 } MPChacoLocalType;
1225: PETSC_EXTERN const char *const MPChacoLocalTypes[];
1226: typedef enum { MP_CHACO_LANCZOS=0,MP_CHACO_RQI=1 } MPChacoEigenType;
1227: PETSC_EXTERN const char *const MPChacoEigenTypes[];
1229: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetGlobal(MatPartitioning,MPChacoGlobalType);
1230: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetGlobal(MatPartitioning,MPChacoGlobalType*);
1231: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetLocal(MatPartitioning,MPChacoLocalType);
1232: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetLocal(MatPartitioning,MPChacoLocalType*);
1233: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetCoarseLevel(MatPartitioning,PetscReal);
1234: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenSolver(MatPartitioning,MPChacoEigenType);
1235: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenSolver(MatPartitioning,MPChacoEigenType*);
1236: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenTol(MatPartitioning,PetscReal);
1237: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenTol(MatPartitioning,PetscReal*);
1238: PETSC_EXTERN PetscErrorCode MatPartitioningChacoSetEigenNumber(MatPartitioning,PetscInt);
1239: PETSC_EXTERN PetscErrorCode MatPartitioningChacoGetEigenNumber(MatPartitioning,PetscInt*);
1241: #define MP_PARTY_OPT "opt"
1242: #define MP_PARTY_LIN "lin"
1243: #define MP_PARTY_SCA "sca"
1244: #define MP_PARTY_RAN "ran"
1245: #define MP_PARTY_GBF "gbf"
1246: #define MP_PARTY_GCF "gcf"
1247: #define MP_PARTY_BUB "bub"
1248: #define MP_PARTY_DEF "def"
1249: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetGlobal(MatPartitioning,const char*);
1250: #define MP_PARTY_HELPFUL_SETS "hs"
1251: #define MP_PARTY_KERNIGHAN_LIN "kl"
1252: #define MP_PARTY_NONE "no"
1253: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetLocal(MatPartitioning,const char*);
1254: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetCoarseLevel(MatPartitioning,PetscReal);
1255: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetBipart(MatPartitioning,PetscBool);
1256: PETSC_EXTERN PetscErrorCode MatPartitioningPartySetMatchOptimization(MatPartitioning,PetscBool);
1258: typedef enum { MP_PTSCOTCH_QUALITY,MP_PTSCOTCH_SPEED,MP_PTSCOTCH_BALANCE,MP_PTSCOTCH_SAFETY,MP_PTSCOTCH_SCALABILITY } MPPTScotchStrategyType;
1259: PETSC_EXTERN const char *const MPPTScotchStrategyTypes[];
1261: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetImbalance(MatPartitioning,PetscReal);
1262: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetImbalance(MatPartitioning,PetscReal*);
1263: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchSetStrategy(MatPartitioning,MPPTScotchStrategyType);
1264: PETSC_EXTERN PetscErrorCode MatPartitioningPTScotchGetStrategy(MatPartitioning,MPPTScotchStrategyType*);
1266: /*
1267: These routines are for coarsening matrices:
1268: */
1270: /*S
1271: MatCoarsen - Object for managing the coarsening of a graph (symmetric matrix)
1273: Level: beginner
1275: Concepts: coarsen
1277: .seealso: MatCoarsenCreate), MatCoarsenType
1278: S*/
1279: typedef struct _p_MatCoarsen* MatCoarsen;
1281: /*J
1282: MatCoarsenType - String with the name of a PETSc matrix coarsen
1284: Level: beginner
1286: .seealso: MatCoarsenCreate(), MatCoarsen
1287: J*/
1288: typedef const char* MatCoarsenType;
1289: #define MATCOARSENMIS "mis"
1290: #define MATCOARSENHEM "hem"
1292: /* linked list for aggregates */
1293: typedef struct _PetscCDIntNd{
1294: struct _PetscCDIntNd *next;
1295: PetscInt gid;
1296: }PetscCDIntNd;
1298: /* only used by node pool */
1299: typedef struct _PetscCDArrNd{
1300: struct _PetscCDArrNd *next;
1301: struct _PetscCDIntNd *array;
1302: }PetscCDArrNd;
1304: typedef struct _PetscCoarsenData{
1305: PetscCDArrNd pool_list; /* node pool */
1306: PetscCDIntNd *new_node;
1307: PetscInt new_left;
1308: PetscInt chk_sz;
1309: PetscCDIntNd *extra_nodes;
1310: PetscCDIntNd **array; /* Array of lists */
1311: PetscInt size;
1312: Mat mat; /* cache a Mat for communication data */
1313: }PetscCoarsenData;
1315: PETSC_EXTERN PetscErrorCode MatCoarsenCreate(MPI_Comm,MatCoarsen*);
1316: PETSC_EXTERN PetscErrorCode MatCoarsenSetType(MatCoarsen,MatCoarsenType);
1317: PETSC_EXTERN PetscErrorCode MatCoarsenSetAdjacency(MatCoarsen,Mat);
1318: PETSC_EXTERN PetscErrorCode MatCoarsenSetGreedyOrdering(MatCoarsen,const IS);
1319: PETSC_EXTERN PetscErrorCode MatCoarsenSetStrictAggs(MatCoarsen,PetscBool);
1320: PETSC_EXTERN PetscErrorCode MatCoarsenSetVerbose(MatCoarsen,PetscInt);
1321: PETSC_EXTERN PetscErrorCode MatCoarsenGetData( MatCoarsen, PetscCoarsenData ** );
1322: PETSC_EXTERN PetscErrorCode MatCoarsenApply(MatCoarsen);
1323: PETSC_EXTERN PetscErrorCode MatCoarsenDestroy(MatCoarsen*);
1325: PETSC_EXTERN PetscErrorCode MatCoarsenRegister(const char[],PetscErrorCode (*)(MatCoarsen));
1327: PETSC_EXTERN PetscBool MatCoarsenRegisterAllCalled;
1329: PETSC_EXTERN PetscErrorCode MatCoarsenRegisterAll(void);
1331: PETSC_EXTERN PetscErrorCode MatCoarsenView(MatCoarsen,PetscViewer);
1332: PETSC_EXTERN PetscErrorCode MatCoarsenSetFromOptions(MatCoarsen);
1333: PETSC_EXTERN PetscErrorCode MatCoarsenGetType(MatCoarsen,MatCoarsenType*);
1334: PETSC_STATIC_INLINE PetscErrorCode MatCoarsenViewFromOptions(MatCoarsen A,const char prefix[],const char name[]) {return PetscObjectViewFromOptions((PetscObject)A,prefix,name);}
1336: PETSC_EXTERN PetscErrorCode MatMeshToVertexGraph(Mat,PetscInt,Mat*);
1337: PETSC_EXTERN PetscErrorCode MatMeshToCellGraph(Mat,PetscInt,Mat*);
1339: /*
1340: If you add entries here you must also add them to finclude/petscmat.h
1341: */
1342: typedef enum { MATOP_SET_VALUES=0,
1343: MATOP_GET_ROW=1,
1344: MATOP_RESTORE_ROW=2,
1345: MATOP_MULT=3,
1346: MATOP_MULT_ADD=4,
1347: MATOP_MULT_TRANSPOSE=5,
1348: MATOP_MULT_TRANSPOSE_ADD=6,
1349: MATOP_SOLVE=7,
1350: MATOP_SOLVE_ADD=8,
1351: MATOP_SOLVE_TRANSPOSE=9,
1352: MATOP_SOLVE_TRANSPOSE_ADD=10,
1353: MATOP_LUFACTOR=11,
1354: MATOP_CHOLESKYFACTOR=12,
1355: MATOP_SOR=13,
1356: MATOP_TRANSPOSE=14,
1357: MATOP_GETINFO=15,
1358: MATOP_EQUAL=16,
1359: MATOP_GET_DIAGONAL=17,
1360: MATOP_DIAGONAL_SCALE=18,
1361: MATOP_NORM=19,
1362: MATOP_ASSEMBLY_BEGIN=20,
1363: MATOP_ASSEMBLY_END=21,
1364: MATOP_SET_OPTION=22,
1365: MATOP_ZERO_ENTRIES=23,
1366: MATOP_ZERO_ROWS=24,
1367: MATOP_LUFACTOR_SYMBOLIC=25,
1368: MATOP_LUFACTOR_NUMERIC=26,
1369: MATOP_CHOLESKY_FACTOR_SYMBOLIC=27,
1370: MATOP_CHOLESKY_FACTOR_NUMERIC=28,
1371: MATOP_SETUP_PREALLOCATION=29,
1372: MATOP_ILUFACTOR_SYMBOLIC=30,
1373: MATOP_ICCFACTOR_SYMBOLIC=31,
1374: /* MATOP_PLACEHOLDER_32=32, */
1375: /* MATOP_PLACEHOLDER_33=33, */
1376: MATOP_DUPLICATE=34,
1377: MATOP_FORWARD_SOLVE=35,
1378: MATOP_BACKWARD_SOLVE=36,
1379: MATOP_ILUFACTOR=37,
1380: MATOP_ICCFACTOR=38,
1381: MATOP_AXPY=39,
1382: MATOP_GET_SUBMATRICES=40,
1383: MATOP_INCREASE_OVERLAP=41,
1384: MATOP_GET_VALUES=42,
1385: MATOP_COPY=43,
1386: MATOP_GET_ROW_MAX=44,
1387: MATOP_SCALE=45,
1388: MATOP_SHIFT=46,
1389: MATOP_DIAGONAL_SET=47,
1390: MATOP_ZERO_ROWS_COLUMNS=48,
1391: MATOP_SET_RANDOM=49,
1392: MATOP_GET_ROW_IJ=50,
1393: MATOP_RESTORE_ROW_IJ=51,
1394: MATOP_GET_COLUMN_IJ=52,
1395: MATOP_RESTORE_COLUMN_IJ=53,
1396: MATOP_FDCOLORING_CREATE=54,
1397: MATOP_COLORING_PATCH=55,
1398: MATOP_SET_UNFACTORED=56,
1399: MATOP_PERMUTE=57,
1400: MATOP_SET_VALUES_BLOCKED=58,
1401: MATOP_GET_SUBMATRIX=59,
1402: MATOP_DESTROY=60,
1403: MATOP_VIEW=61,
1404: MATOP_CONVERT_FROM=62,
1405: MATOP_MATMAT_MULT=63,
1406: MATOP_MATMAT_MULT_SYMBOLIC=64,
1407: MATOP_MATMAT_MULT_NUMERIC=65,
1408: MATOP_SET_LOCAL_TO_GLOBAL_MAP=66,
1409: MATOP_SET_VALUES_LOCAL=67,
1410: MATOP_ZERO_ROWS_LOCAL=68,
1411: MATOP_GET_ROW_MAX_ABS=69,
1412: MATOP_GET_ROW_MIN_ABS=70,
1413: MATOP_CONVERT=71,
1414: MATOP_SET_COLORING=72,
1415: /* MATOP_PLACEHOLDER_73=73, */
1416: MATOP_SET_VALUES_ADIFOR=74,
1417: MATOP_FD_COLORING_APPLY=75,
1418: MATOP_SET_FROM_OPTIONS=76,
1419: MATOP_MULT_CONSTRAINED=77,
1420: MATOP_MULT_TRANSPOSE_CONSTRAIN=78,
1421: MATOP_FIND_ZERO_DIAGONALS=79,
1422: MATOP_MULT_MULTIPLE=80,
1423: MATOP_SOLVE_MULTIPLE=81,
1424: MATOP_GET_INERTIA=82,
1425: MATOP_LOAD=83,
1426: MATOP_IS_SYMMETRIC=84,
1427: MATOP_IS_HERMITIAN=85,
1428: MATOP_IS_STRUCTURALLY_SYMMETRIC=86,
1429: MATOP_SET_VALUES_BLOCKEDLOCAL=87,
1430: MATOP_GET_VECS=88,
1431: MATOP_MAT_MULT=89,
1432: MATOP_MAT_MULT_SYMBOLIC=90,
1433: MATOP_MAT_MULT_NUMERIC=91,
1434: MATOP_PTAP=92,
1435: MATOP_PTAP_SYMBOLIC=93,
1436: MATOP_PTAP_NUMERIC=94,
1437: MATOP_MAT_TRANSPOSE_MULT=95,
1438: MATOP_MAT_TRANSPOSE_MULT_SYMBO=96,
1439: MATOP_MAT_TRANSPOSE_MULT_NUMER=97,
1440: /* MATOP_PLACEHOLDER_98=98, */
1441: /* MATOP_PLACEHOLDER_99=99, */
1442: /* MATOP_PLACEHOLDER_100=100, */
1443: /* MATOP_PLACEHOLDER_101=101, */
1444: MATOP_CONJUGATE=102,
1445: /* MATOP_PLACEHOLDER_103=103, */
1446: MATOP_SET_VALUES_ROW=104,
1447: MATOP_REAL_PART=105,
1448: MATOP_IMAGINARY_PART=106,
1449: MATOP_GET_ROW_UPPER_TRIANGULAR=107,
1450: MATOP_RESTORE_ROW_UPPER_TRIANG=108,
1451: MATOP_MAT_SOLVE=109,
1452: MATOP_GET_REDUNDANT_MATRIX=110,
1453: MATOP_GET_ROW_MIN=111,
1454: MATOP_GET_COLUMN_VECTOR=112,
1455: MATOP_MISSING_DIAGONAL=113,
1456: MATOP_GET_SEQ_NONZERO_STRUCTUR=114,
1457: MATOP_CREATE=115,
1458: MATOP_GET_GHOSTS=116,
1459: MATOP_GET_LOCAL_SUB_MATRIX=117,
1460: MATOP_RESTORE_LOCALSUB_MATRIX=118,
1461: MATOP_MULT_DIAGONAL_BLOCK=119,
1462: MATOP_HERMITIAN_TRANSPOSE=120,
1463: MATOP_MULT_HERMITIAN_TRANSPOSE=121,
1464: MATOP_MULT_HERMITIAN_TRANS_ADD=122,
1465: MATOP_GET_MULTI_PROC_BLOCK=123,
1466: MATOP_FIND_NONZERO_ROWS=124,
1467: MATOP_GET_COLUMN_NORMS=125,
1468: MATOP_INVERT_BLOCK_DIAGONAL=126,
1469: /* MATOP_PLACEHOLDER_127=127, */
1470: MATOP_GET_SUB_MATRICES_PARALLE=128,
1471: MATOP_SET_VALUES_BATCH=129,
1472: MATOP_TRANSPOSE_MAT_MULT=130,
1473: MATOP_TRANSPOSE_MAT_MULT_SYMBO=131,
1474: MATOP_TRANSPOSE_MAT_MULT_NUMER=132,
1475: MATOP_TRANSPOSE_COLORING_CREAT=133,
1476: MATOP_TRANS_COLORING_APPLY_SPT=134,
1477: MATOP_TRANS_COLORING_APPLY_DEN=135,
1478: MATOP_RART=136,
1479: MATOP_RART_SYMBOLIC=137,
1480: MATOP_RART_NUMERIC=138,
1481: MATOP_SET_BLOCK_SIZES=139,
1482: MATOP_AYPX=140,
1483: MATOP_RESIDUAL=141,
1484: MATOP_FDCOLORING_SETUP= 142
1485: } MatOperation;
1486: PETSC_EXTERN PetscErrorCode MatHasOperation(Mat,MatOperation,PetscBool *);
1487: PETSC_EXTERN PetscErrorCode MatShellSetOperation(Mat,MatOperation,void(*)(void));
1488: PETSC_EXTERN PetscErrorCode MatShellGetOperation(Mat,MatOperation,void(**)(void));
1489: PETSC_EXTERN PetscErrorCode MatShellSetContext(Mat,void*);
1491: /*
1492: Codes for matrices stored on disk. By default they are
1493: stored in a universal format. By changing the format with
1494: PetscViewerSetFormat(viewer,PETSC_VIEWER_NATIVE); the matrices will
1495: be stored in a way natural for the matrix, for example dense matrices
1496: would be stored as dense. Matrices stored this way may only be
1497: read into matrices of the same type.
1498: */
1499: #define MATRIX_BINARY_FORMAT_DENSE -1
1501: PETSC_EXTERN PetscErrorCode MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
1502: PETSC_EXTERN PetscErrorCode MatISGetLocalMat(Mat,Mat*);
1503: PETSC_EXTERN PetscErrorCode MatISSetLocalMat(Mat,Mat);
1505: /*S
1506: MatNullSpace - Object that removes a null space from a vector, i.e.
1507: orthogonalizes the vector to a subsapce
1509: Level: advanced
1511: Concepts: matrix; linear operator, null space
1513: Users manual sections:
1514: . Section 4.18 Solving Singular Systems
1516: .seealso: MatNullSpaceCreate()
1517: S*/
1518: typedef struct _p_MatNullSpace* MatNullSpace;
1520: PETSC_EXTERN PetscErrorCode MatNullSpaceCreate(MPI_Comm,PetscBool ,PetscInt,const Vec[],MatNullSpace*);
1521: PETSC_EXTERN PetscErrorCode MatNullSpaceSetFunction(MatNullSpace,PetscErrorCode (*)(MatNullSpace,Vec,void*),void*);
1522: PETSC_EXTERN PetscErrorCode MatNullSpaceDestroy(MatNullSpace*);
1523: PETSC_EXTERN PetscErrorCode MatNullSpaceRemove(MatNullSpace,Vec);
1524: PETSC_EXTERN PetscErrorCode MatGetNullSpace(Mat, MatNullSpace *);
1525: PETSC_EXTERN PetscErrorCode MatSetNullSpace(Mat,MatNullSpace);
1526: PETSC_EXTERN PetscErrorCode MatSetNearNullSpace(Mat,MatNullSpace);
1527: PETSC_EXTERN PetscErrorCode MatGetNearNullSpace(Mat,MatNullSpace*);
1528: PETSC_EXTERN PetscErrorCode MatNullSpaceTest(MatNullSpace,Mat,PetscBool *);
1529: PETSC_EXTERN PetscErrorCode MatNullSpaceView(MatNullSpace,PetscViewer);
1530: PETSC_EXTERN PetscErrorCode MatNullSpaceGetVecs(MatNullSpace,PetscBool*,PetscInt*,const Vec**);
1531: PETSC_EXTERN PetscErrorCode MatNullSpaceCreateRigidBody(Vec,MatNullSpace*);
1533: PETSC_EXTERN PetscErrorCode MatReorderingSeqSBAIJ(Mat,IS);
1534: PETSC_EXTERN PetscErrorCode MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
1535: PETSC_EXTERN PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat,PetscInt *);
1536: PETSC_EXTERN PetscErrorCode MatSeqBAIJInvertBlockDiagonal(Mat);
1538: PETSC_EXTERN PetscErrorCode MatCreateMAIJ(Mat,PetscInt,Mat*);
1539: PETSC_EXTERN PetscErrorCode MatMAIJRedimension(Mat,PetscInt,Mat*);
1540: PETSC_EXTERN PetscErrorCode MatMAIJGetAIJ(Mat,Mat*);
1542: PETSC_EXTERN PetscErrorCode MatComputeExplicitOperator(Mat,Mat*);
1544: PETSC_EXTERN PetscErrorCode MatDiagonalScaleLocal(Mat,Vec);
1546: PETSC_EXTERN PetscErrorCode MatCreateMFFD(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,Mat*);
1547: PETSC_EXTERN PetscErrorCode MatMFFDSetBase(Mat,Vec,Vec);
1548: PETSC_EXTERN PetscErrorCode MatMFFDSetFunction(Mat,PetscErrorCode(*)(void*,Vec,Vec),void*);
1549: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioni(Mat,PetscErrorCode (*)(void*,PetscInt,Vec,PetscScalar*));
1550: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctioniBase(Mat,PetscErrorCode (*)(void*,Vec));
1551: PETSC_EXTERN PetscErrorCode MatMFFDAddNullSpace(Mat,MatNullSpace);
1552: PETSC_EXTERN PetscErrorCode MatMFFDSetHHistory(Mat,PetscScalar[],PetscInt);
1553: PETSC_EXTERN PetscErrorCode MatMFFDResetHHistory(Mat);
1554: PETSC_EXTERN PetscErrorCode MatMFFDSetFunctionError(Mat,PetscReal);
1555: PETSC_EXTERN PetscErrorCode MatMFFDSetPeriod(Mat,PetscInt);
1556: PETSC_EXTERN PetscErrorCode MatMFFDGetH(Mat,PetscScalar *);
1557: PETSC_EXTERN PetscErrorCode MatMFFDSetOptionsPrefix(Mat,const char[]);
1558: PETSC_EXTERN PetscErrorCode MatMFFDCheckPositivity(void*,Vec,Vec,PetscScalar*);
1559: PETSC_EXTERN PetscErrorCode MatMFFDSetCheckh(Mat,PetscErrorCode (*)(void*,Vec,Vec,PetscScalar*),void*);
1561: /*S
1562: MatMFFD - A data structured used to manage the computation of the h differencing parameter for matrix-free
1563: Jacobian vector products
1565: Notes: MATMFFD is a specific MatType which uses the MatMFFD data structure
1567: MatMFFD*() methods actually take the Mat as their first argument. Not a MatMFFD data structure
1569: Level: developer
1571: .seealso: MATMFFD, MatCreateMFFD(), MatMFFDSetFuction(), MatMFFDSetType(), MatMFFDRegister()
1572: S*/
1573: typedef struct _p_MatMFFD* MatMFFD;
1575: /*J
1576: MatMFFDType - algorithm used to compute the h used in computing matrix-vector products via differencing of the function
1578: Level: beginner
1580: .seealso: MatMFFDSetType(), MatMFFDRegister()
1581: J*/
1582: typedef const char* MatMFFDType;
1583: #define MATMFFD_DS "ds"
1584: #define MATMFFD_WP "wp"
1586: PETSC_EXTERN PetscErrorCode MatMFFDSetType(Mat,MatMFFDType);
1587: PETSC_EXTERN PetscErrorCode MatMFFDRegister(const char[],PetscErrorCode (*)(MatMFFD));
1589: PETSC_EXTERN PetscErrorCode MatMFFDRegisterAll(void);
1590: PETSC_EXTERN PetscErrorCode MatMFFDDSSetUmin(Mat,PetscReal);
1591: PETSC_EXTERN PetscErrorCode MatMFFDWPSetComputeNormU(Mat,PetscBool );
1593: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutMatrix(PetscViewer, PetscInt, PetscInt, PetscReal *);
1594: PETSC_EXTERN PetscErrorCode PetscViewerMathematicaPutCSRMatrix(PetscViewer, PetscInt, PetscInt, PetscInt *, PetscInt *, PetscReal *);
1596: /*
1597: PETSc interface to MUMPS
1598: */
1599: #ifdef PETSC_HAVE_MUMPS
1600: PETSC_EXTERN PetscErrorCode MatMumpsSetIcntl(Mat,PetscInt,PetscInt);
1601: PETSC_EXTERN PetscErrorCode MatMumpsGetIcntl(Mat,PetscInt,PetscInt*);
1602: PETSC_EXTERN PetscErrorCode MatMumpsSetCntl(Mat,PetscInt,PetscReal);
1603: PETSC_EXTERN PetscErrorCode MatMumpsGetCntl(Mat,PetscInt,PetscReal*);
1605: PETSC_EXTERN PetscErrorCode MatMumpsGetInfo(Mat,PetscInt,PetscInt*);
1606: PETSC_EXTERN PetscErrorCode MatMumpsGetInfog(Mat,PetscInt,PetscInt*);
1607: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfo(Mat,PetscInt,PetscReal*);
1608: PETSC_EXTERN PetscErrorCode MatMumpsGetRinfog(Mat,PetscInt,PetscReal*);
1609: #endif
1611: /*
1612: PETSc interface to Mkl_Pardiso
1613: */
1614: #ifdef PETSC_HAVE_MKL_PARDISO
1615: PETSC_EXTERN PetscErrorCode MatMkl_PardisoSetCntl(Mat,PetscInt,PetscInt);
1616: #endif
1618: /*
1619: PETSc interface to SUPERLU
1620: */
1621: #ifdef PETSC_HAVE_SUPERLU
1622: PETSC_EXTERN PetscErrorCode MatSuperluSetILUDropTol(Mat,PetscReal);
1623: #endif
1625: #ifdef PETSC_HAVE_CUDA
1626: /*E
1627: MatCUSPARSEStorageFormat - indicates the storage format for CUSPARSE (GPU)
1628: matrices.
1630: Not Collective
1632: + MAT_CUSPARSE_CSR - Compressed Sparse Row
1633: . MAT_CUSPARSE_ELL - Ellpack (requires CUDA 4.2 or later).
1634: - MAT_CUSPARSE_HYB - Hybrid, a combination of Ellpack and Coordinate format (requires CUDA 4.2 or later).
1636: Level: intermediate
1638: Any additions/changes here MUST also be made in include/finclude/petscmat.h
1640: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEFormatOperation
1641: E*/
1643: typedef enum {MAT_CUSPARSE_CSR, MAT_CUSPARSE_ELL, MAT_CUSPARSE_HYB} MatCUSPARSEStorageFormat;
1645: /* these will be strings associated with enumerated type defined above */
1646: PETSC_EXTERN const char *const MatCUSPARSEStorageFormats[];
1648: /*E
1649: MatCUSPARSEFormatOperation - indicates the operation of CUSPARSE (GPU)
1650: matrices whose operation should use a particular storage format.
1652: Not Collective
1654: + MAT_CUSPARSE_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1655: . MAT_CUSPARSE_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1656: . MAT_CUSPARSE_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1657: - MAT_CUSPARSE_ALL - sets the storage format for all CUSPARSE (GPU) matrices
1659: Level: intermediate
1661: .seealso: MatCUSPARSESetFormat(), MatCUSPARSEStorageFormat
1662: E*/
1663: typedef enum {MAT_CUSPARSE_MULT_DIAG, MAT_CUSPARSE_MULT_OFFDIAG, MAT_CUSPARSE_MULT, MAT_CUSPARSE_ALL} MatCUSPARSEFormatOperation;
1665: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1666: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSPARSE(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1667: PETSC_EXTERN PetscErrorCode MatCUSPARSESetFormat(Mat,MatCUSPARSEFormatOperation,MatCUSPARSEStorageFormat);
1668: #endif
1670: #if defined(PETSC_HAVE_CUSP)
1671: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1672: PETSC_EXTERN PetscErrorCode MatCreateAIJCUSP(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1674: /*E
1675: MatCUSPStorageFormat - indicates the storage format for CUSP (GPU)
1676: matrices.
1678: Not Collective
1680: + MAT_CUSP_CSR - Compressed Sparse Row
1681: . MAT_CUSP_DIA - Diagonal
1682: - MAT_CUSP_ELL - Ellpack
1684: Level: intermediate
1686: Any additions/changes here MUST also be made in include/finclude/petscmat.h
1688: .seealso: MatCUSPSetFormat(), MatCUSPFormatOperation
1689: E*/
1690: typedef enum {MAT_CUSP_CSR, MAT_CUSP_DIA, MAT_CUSP_ELL} MatCUSPStorageFormat;
1692: /* these will be strings associated with enumerated type defined above */
1693: PETSC_EXTERN const char *const MatCUSPStorageFormats[];
1695: /*E
1696: MatCUSPFormatOperation - indicates the operation of CUSP (GPU)
1697: matrices whose operation should use a particular storage format.
1699: Not Collective
1701: + MAT_CUSP_MULT_DIAG - sets the storage format for the diagonal matrix in the parallel MatMult
1702: . MAT_CUSP_MULT_OFFDIAG - sets the storage format for the offdiagonal matrix in the parallel MatMult
1703: . MAT_CUSP_MULT - sets the storage format for the entire matrix in the serial (single GPU) MatMult
1704: - MAT_CUSP_ALL - sets the storage format for all CUSP (GPU) matrices
1706: Level: intermediate
1708: Any additions/changes here MUST also be made in include/finclude/petscmat.h
1710: .seealso: MatCUSPSetFormat(), MatCUSPStorageFormat
1711: E*/
1712: typedef enum {MAT_CUSP_MULT_DIAG, MAT_CUSP_MULT_OFFDIAG, MAT_CUSP_MULT, MAT_CUSP_ALL} MatCUSPFormatOperation;
1714: PETSC_EXTERN PetscErrorCode MatCUSPSetFormat(Mat,MatCUSPFormatOperation,MatCUSPStorageFormat);
1715: #endif
1717: #if defined(PETSC_HAVE_VIENNACL)
1718: PETSC_EXTERN PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,const PetscInt[],Mat*);
1719: PETSC_EXTERN PetscErrorCode MatCreateAIJViennaCL(MPI_Comm,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,const PetscInt[],PetscInt,const PetscInt[],Mat*);
1720: #endif
1722: /*
1723: PETSc interface to FFTW
1724: */
1725: #if defined(PETSC_HAVE_FFTW)
1726: PETSC_EXTERN PetscErrorCode VecScatterPetscToFFTW(Mat,Vec,Vec);
1727: PETSC_EXTERN PetscErrorCode VecScatterFFTWToPetsc(Mat,Vec,Vec);
1728: PETSC_EXTERN PetscErrorCode MatGetVecsFFTW(Mat,Vec*,Vec*,Vec*);
1729: #endif
1731: #if defined(PETSC_HAVE_ELEMENTAL)
1732: PETSC_EXTERN PetscErrorCode PetscElementalInitializePackage(void);
1733: PETSC_EXTERN PetscErrorCode PetscElementalFinalizePackage(void);
1734: #endif
1736: PETSC_EXTERN PetscErrorCode MatCreateNest(MPI_Comm,PetscInt,const IS[],PetscInt,const IS[],const Mat[],Mat*);
1737: PETSC_EXTERN PetscErrorCode MatNestGetSize(Mat,PetscInt*,PetscInt*);
1738: PETSC_EXTERN PetscErrorCode MatNestGetISs(Mat,IS[],IS[]);
1739: PETSC_EXTERN PetscErrorCode MatNestGetLocalISs(Mat,IS[],IS[]);
1740: PETSC_EXTERN PetscErrorCode MatNestGetSubMats(Mat,PetscInt*,PetscInt*,Mat***);
1741: PETSC_EXTERN PetscErrorCode MatNestGetSubMat(Mat,PetscInt,PetscInt,Mat*);
1742: PETSC_EXTERN PetscErrorCode MatNestSetVecType(Mat,VecType);
1743: PETSC_EXTERN PetscErrorCode MatNestSetSubMats(Mat,PetscInt,const IS[],PetscInt,const IS[],const Mat[]);
1744: PETSC_EXTERN PetscErrorCode MatNestSetSubMat(Mat,PetscInt,PetscInt,Mat);
1746: PETSC_EXTERN PetscErrorCode MatChop(Mat,PetscReal);
1747: PETSC_EXTERN PetscErrorCode MatComputeBandwidth(Mat,PetscReal,PetscInt*);
1749: #endif