Actual source code: petscmat.h
1: /* $Id: petscmat.h,v 1.228 2001/09/07 20:09:08 bsmith Exp $ */
2: /*
3: Include file for the matrix component of PETSc
4: */
5: #ifndef __PETSCMAT_H
7: #include petscvec.h
9: /*S
10: Mat - Abstract PETSc matrix object
12: Level: beginner
14: Concepts: matrix; linear operator
16: .seealso: MatCreate(), MatType, MatSetType()
17: S*/
18: typedef struct _p_Mat* Mat;
20: /*E
21: MatType - String with the name of a PETSc matrix or the creation function
22: with an optional dynamic library name, for example
23: http://www.mcs.anl.gov/petsc/lib.a:mymatcreate()
25: Level: beginner
27: .seealso: MatSetType(), Mat
28: E*/
29: #define MATSAME "same"
30: #define MATSEQMAIJ "seqmaij"
31: #define MATMPIMAIJ "mpimaij"
32: #define MATIS "is"
33: #define MATMPIROWBS "mpirowbs"
34: #define MATSEQDENSE "seqdense"
35: #define MATSEQAIJ "seqaij"
36: #define MATMPIAIJ "mpiaij"
37: #define MATSHELL "shell"
38: #define MATSEQBDIAG "seqbdiag"
39: #define MATMPIBDIAG "mpibdiag"
40: #define MATMPIDENSE "mpidense"
41: #define MATSEQBAIJ "seqbaij"
42: #define MATMPIBAIJ "mpibaij"
43: #define MATMPIADJ "mpiadj"
44: #define MATSEQSBAIJ "seqsbaij"
45: #define MATMPISBAIJ "mpisbaij"
46: #define MATDAAD "daad"
47: #define MATMFFD "mffd"
48: #define MATESI "esi"
49: #define MATPETSCESI "petscesi"
50: typedef char* MatType;
52: #define MAT_SER_SEQAIJ_BINARY "seqaij_binary"
53: #define MAT_SER_MPIAIJ_BINARY "mpiaij_binary"
54: typedef char *MatSerializeType;
56: /* Logging support */
57: #define MAT_FILE_COOKIE 1211216 /* used to indicate matrices in binary files */
58: extern int MAT_COOKIE;
59: extern int MATSNESMFCTX_COOKIE;
60: extern int MAT_FDCOLORING_COOKIE;
61: extern int MAT_PARTITIONING_COOKIE;
62: extern int MAT_NULLSPACE_COOKIE;
63: extern int MAT_Mult, MAT_MultMatrixFree, MAT_MultMultiple, MAT_MultConstrained, MAT_MultAdd, MAT_MultTranspose;
64: extern int MAT_MultTransposeConstrained, MAT_MultTransposeAdd, MAT_Solve, MAT_SolveMultiple, MAT_SolveAdd, MAT_SolveTranspose;
65: extern int MAT_SolveTransposeAdd, MAT_Relax, MAT_ForwardSolve, MAT_BackwardSolve, MAT_LUFactor, MAT_LUFactorSymbolic;
66: extern int MAT_LUFactorNumeric, MAT_CholeskyFactor, MAT_CholeskyFactorSymbolic, MAT_CholeskyFactorNumeric, MAT_ILUFactor;
67: extern int MAT_ILUFactorSymbolic, MAT_ICCFactorSymbolic, MAT_Copy, MAT_Convert, MAT_Scale, MAT_AssemblyBegin;
68: extern int MAT_AssemblyEnd, MAT_SetValues, MAT_GetValues, MAT_GetRow, MAT_GetSubMatrices, MAT_GetColoring, MAT_GetOrdering;
69: extern int MAT_IncreaseOverlap, MAT_Partitioning, MAT_ZeroEntries, MAT_Load, MAT_View, MAT_AXPY, MAT_FDColoringCreate;
70: extern int MAT_FDColoringApply, MAT_Transpose;
72: EXTERN int MatInitializePackage(char *);
74: EXTERN int MatCreate(MPI_Comm,int,int,int,int,Mat*);
75: EXTERN int MatSetType(Mat,MatType);
76: EXTERN int MatSetFromOptions(Mat);
77: EXTERN int MatSetUpPreallocation(Mat);
78: EXTERN int MatRegisterAll(char*);
79: EXTERN int MatRegister(char*,char*,char*,int(*)(Mat));
80: EXTERN int MatSerializeRegister(const char [], const char [], const char [], int (*)(MPI_Comm, Mat *, PetscViewer, PetscTruth));
81: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
82: #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,0)
83: #define MatSerializeRegisterDynamic(a,b,c,d) MatSerializeRegister(a,b,c,0)
84: #else
85: #define MatRegisterDynamic(a,b,c,d) MatRegister(a,b,c,d)
86: #define MatSerializeRegisterDynamic(a,b,c,d) MatSerializeRegister(a,b,c,d)
87: #endif
88: extern PetscTruth MatRegisterAllCalled;
89: extern PetscFList MatList;
91: EXTERN PetscFList MatSerializeList;
92: EXTERN int MatSerializeRegisterAll(const char []);
93: EXTERN int MatSerializeRegisterDestroy(void);
94: EXTERN int MatSerializeRegisterAllCalled;
95: EXTERN int MatSerialize(MPI_Comm, Mat *, PetscViewer, PetscTruth);
96: EXTERN int MatSetSerializeType(Mat, MatSerializeType);
98: EXTERN int MatCreateSeqDense(MPI_Comm,int,int,PetscScalar*,Mat*);
99: EXTERN int MatCreateMPIDense(MPI_Comm,int,int,int,int,PetscScalar*,Mat*);
100: EXTERN int MatCreateSeqAIJ(MPI_Comm,int,int,int,int*,Mat*);
101: EXTERN int MatCreateMPIAIJ(MPI_Comm,int,int,int,int,int,int*,int,int*,Mat*);
102: EXTERN int MatCreateMPIRowbs(MPI_Comm,int,int,int,int*,Mat*);
103: EXTERN int MatCreateSeqBDiag(MPI_Comm,int,int,int,int,int*,PetscScalar**,Mat*);
104: EXTERN int MatCreateMPIBDiag(MPI_Comm,int,int,int,int,int,int*,PetscScalar**,Mat*);
105: EXTERN int MatCreateSeqBAIJ(MPI_Comm,int,int,int,int,int*,Mat*);
106: EXTERN int MatCreateMPIBAIJ(MPI_Comm,int,int,int,int,int,int,int*,int,int*,Mat*);
107: EXTERN int MatCreateMPIAdj(MPI_Comm,int,int,int*,int*,int *,Mat*);
108: EXTERN int MatCreateSeqSBAIJ(MPI_Comm,int,int,int,int,int*,Mat*);
109: EXTERN int MatCreateMPISBAIJ(MPI_Comm,int,int,int,int,int,int,int*,int,int*,Mat*);
110: EXTERN int MatCreateShell(MPI_Comm,int,int,int,int,void *,Mat*);
111: EXTERN int MatCreateAdic(MPI_Comm,int,int,int,int,int,void (*)(void),Mat*);
112: EXTERN int MatDestroy(Mat);
114: EXTERN int MatPrintHelp(Mat);
115: EXTERN int MatGetPetscMaps(Mat,PetscMap*,PetscMap*);
117: /* ------------------------------------------------------------*/
118: EXTERN int MatSetValues(Mat,int,int*,int,int*,PetscScalar*,InsertMode);
119: EXTERN int MatSetValuesBlocked(Mat,int,int*,int,int*,PetscScalar*,InsertMode);
121: /*S
122: MatStencil - Data structure (C struct) for storing information about a single row or
123: column of a matrix as index on an associated grid.
125: Level: beginner
127: Concepts: matrix; linear operator
129: .seealso: MatSetValuesStencil(), MatSetStencil()
130: S*/
131: typedef struct {
132: int k,j,i,c;
133: } MatStencil;
135: EXTERN int MatSetValuesStencil(Mat,int,MatStencil*,int,MatStencil*,PetscScalar*,InsertMode);
136: EXTERN int MatSetValuesBlockedStencil(Mat,int,MatStencil*,int,MatStencil*,PetscScalar*,InsertMode);
137: EXTERN int MatSetStencil(Mat,int,int*,int*,int);
139: EXTERN int MatSetColoring(Mat,ISColoring);
140: EXTERN int MatSetValuesAdic(Mat,void*);
141: EXTERN int MatSetValuesAdifor(Mat,int,void*);
143: /*E
144: MatAssemblyType - Indicates if the matrix is now to be used, or if you plan
145: to continue to add values to it
147: Level: beginner
149: .seealso: MatAssemblyBegin(), MatAssemblyEnd()
150: E*/
151: typedef enum {MAT_FLUSH_ASSEMBLY=1,MAT_FINAL_ASSEMBLY=0} MatAssemblyType;
152: EXTERN int MatAssemblyBegin(Mat,MatAssemblyType);
153: EXTERN int MatAssemblyEnd(Mat,MatAssemblyType);
154: EXTERN int MatAssembled(Mat,PetscTruth*);
156: #define MatSetValue(v,i,j,va,mode)
157: 0; {int _ierr,_row = i,_col = j; PetscScalar _va = va;
158: _MatSetValues(v,1,&_row,1,&_col,&_va,mode);CHKERRQ(_ierr);
159: }
160: #define MatGetValue(v,i,j,va)
161: 0; {int _ierr,_row = i,_col = j;
162: _MatGetValues(v,1,&_row,1,&_col,&va);CHKERRQ(_ierr);
163: }
164: #define MatSetValueLocal(v,i,j,va,mode)
165: 0; {int _ierr,_row = i,_col = j; PetscScalar _va = va;
166: _MatSetValuesLocal(v,1,&_row,1,&_col,&_va,mode);CHKERRQ(_ierr);
167: }
168: /*E
169: MatOption - Options that may be set for a matrix and its behavior or storage
171: Level: beginner
173: Any additions/changes here MUST also be made in include/finclude/petscmat.h
175: .seealso: MatSetOption()
176: E*/
177: typedef enum {MAT_ROW_ORIENTED=1,MAT_COLUMN_ORIENTED=2,MAT_ROWS_SORTED=4,
178: MAT_COLUMNS_SORTED=8,MAT_NO_NEW_NONZERO_LOCATIONS=16,
179: MAT_YES_NEW_NONZERO_LOCATIONS=32,MAT_SYMMETRIC=64,
180: MAT_STRUCTURALLY_SYMMETRIC=65,MAT_NO_NEW_DIAGONALS=66,
181: MAT_YES_NEW_DIAGONALS=67,MAT_INODE_LIMIT_1=68,MAT_INODE_LIMIT_2=69,
182: MAT_INODE_LIMIT_3=70,MAT_INODE_LIMIT_4=71,MAT_INODE_LIMIT_5=72,
183: MAT_IGNORE_OFF_PROC_ENTRIES=73,MAT_ROWS_UNSORTED=74,
184: MAT_COLUMNS_UNSORTED=75,MAT_NEW_NONZERO_LOCATION_ERR=76,
185: MAT_NEW_NONZERO_ALLOCATION_ERR=77,MAT_USE_HASH_TABLE=78,
186: MAT_KEEP_ZEROED_ROWS=79,MAT_IGNORE_ZERO_ENTRIES=80,MAT_USE_INODES=81,
187: MAT_DO_NOT_USE_INODES=82,MAT_USE_SINGLE_PRECISION_SOLVES=83} MatOption;
188: EXTERN int MatSetOption(Mat,MatOption);
189: EXTERN int MatGetType(Mat,MatType*);
191: EXTERN int MatGetValues(Mat,int,int*,int,int*,PetscScalar*);
192: EXTERN int MatGetRow(Mat,int,int *,int **,PetscScalar**);
193: EXTERN int MatRestoreRow(Mat,int,int *,int **,PetscScalar**);
194: EXTERN int MatGetColumn(Mat,int,int *,int **,PetscScalar**);
195: EXTERN int MatRestoreColumn(Mat,int,int *,int **,PetscScalar**);
196: EXTERN int MatGetColumnVector(Mat,Vec,int);
197: EXTERN int MatGetArray(Mat,PetscScalar **);
198: EXTERN int MatRestoreArray(Mat,PetscScalar **);
199: EXTERN int MatGetBlockSize(Mat,int *);
201: EXTERN int MatMult(Mat,Vec,Vec);
202: EXTERN int MatMultAdd(Mat,Vec,Vec,Vec);
203: EXTERN int MatMultTranspose(Mat,Vec,Vec);
204: EXTERN int MatMultTransposeAdd(Mat,Vec,Vec,Vec);
205: EXTERN int MatMultConstrained(Mat,Vec,Vec);
206: EXTERN int MatMultTransposeConstrained(Mat,Vec,Vec);
208: /*E
209: MatDuplicateOption - Indicates if a duplicated sparse matrix should have
210: its numerical values copied over or just its nonzero structure.
212: Level: beginner
214: Any additions/changes here MUST also be made in include/finclude/petscmat.h
216: .seealso: MatDuplicate()
217: E*/
218: typedef enum {MAT_DO_NOT_COPY_VALUES,MAT_COPY_VALUES} MatDuplicateOption;
220: EXTERN int MatConvertRegister(char*,char*,char*,int (*)(Mat,MatType,Mat*));
221: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
222: #define MatConvertRegisterDynamic(a,b,c,d) MatConvertRegister(a,b,c,0)
223: #else
224: #define MatConvertRegisterDynamic(a,b,c,d) MatConvertRegister(a,b,c,d)
225: #endif
226: EXTERN int MatConvertRegisterAll(char*);
227: EXTERN int MatConvertRegisterDestroy(void);
228: extern PetscTruth MatConvertRegisterAllCalled;
229: extern PetscFList MatConvertList;
230: EXTERN int MatConvert(Mat,MatType,Mat*);
231: EXTERN int MatDuplicate(Mat,MatDuplicateOption,Mat*);
233: /*E
234: MatStructure - Indicates if the matrix has the same nonzero structure
236: Level: beginner
238: Any additions/changes here MUST also be made in include/finclude/petscmat.h
240: .seealso: MatCopy(), SLESSetOperators(), PCSetOperators()
241: E*/
242: typedef enum {SAME_NONZERO_PATTERN,DIFFERENT_NONZERO_PATTERN,SAME_PRECONDITIONER} MatStructure;
244: EXTERN int MatCopy(Mat,Mat,MatStructure);
245: EXTERN int MatView(Mat,PetscViewer);
247: EXTERN int MatLoadRegister(char*,char*,char*,int (*)(PetscViewer,MatType,Mat*));
248: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
249: #define MatLoadRegisterDynamic(a,b,c,d) MatLoadRegister(a,b,c,0)
250: #else
251: #define MatLoadRegisterDynamic(a,b,c,d) MatLoadRegister(a,b,c,d)
252: #endif
253: EXTERN int MatLoadRegisterAll(char*);
254: EXTERN int MatLoadRegisterDestroy(void);
255: extern PetscTruth MatLoadRegisterAllCalled;
256: extern PetscFList MatLoadList;
257: EXTERN int MatLoad(PetscViewer,MatType,Mat*);
259: EXTERN int MatGetRowIJ(Mat,int,PetscTruth,int*,int **,int **,PetscTruth *);
260: EXTERN int MatRestoreRowIJ(Mat,int,PetscTruth,int *,int **,int **,PetscTruth *);
261: EXTERN int MatGetColumnIJ(Mat,int,PetscTruth,int*,int **,int **,PetscTruth *);
262: EXTERN int MatRestoreColumnIJ(Mat,int,PetscTruth,int *,int **,int **,PetscTruth *);
264: /*S
265: MatInfo - Context of matrix information, used with MatGetInfo()
267: In Fortran this is simply a double precision array of dimension MAT_INFO_SIZE
269: Level: intermediate
271: Concepts: matrix^nonzero information
273: .seealso: MatGetInfo(), MatInfoType
274: S*/
275: typedef struct {
276: PetscLogDouble rows_global,columns_global; /* number of global rows and columns */
277: PetscLogDouble rows_local,columns_local; /* number of local rows and columns */
278: PetscLogDouble block_size; /* block size */
279: PetscLogDouble nz_allocated,nz_used,nz_unneeded; /* number of nonzeros */
280: PetscLogDouble memory; /* memory allocated */
281: PetscLogDouble assemblies; /* number of matrix assemblies called */
282: PetscLogDouble mallocs; /* number of mallocs during MatSetValues() */
283: PetscLogDouble fill_ratio_given,fill_ratio_needed; /* fill ratio for LU/ILU */
284: PetscLogDouble factor_mallocs; /* number of mallocs during factorization */
285: } MatInfo;
287: /*E
288: MatInfoType - Indicates if you want information about the local part of the matrix,
289: the entire parallel matrix or the maximum over all the local parts.
291: Level: beginner
293: Any additions/changes here MUST also be made in include/finclude/petscmat.h
295: .seealso: MatGetInfo(), MatInfo
296: E*/
297: typedef enum {MAT_LOCAL=1,MAT_GLOBAL_MAX=2,MAT_GLOBAL_SUM=3} MatInfoType;
298: EXTERN int MatGetInfo(Mat,MatInfoType,MatInfo*);
299: EXTERN int MatValid(Mat,PetscTruth*);
300: EXTERN int MatGetDiagonal(Mat,Vec);
301: EXTERN int MatGetRowMax(Mat,Vec);
302: EXTERN int MatTranspose(Mat,Mat*);
303: EXTERN int MatPermute(Mat,IS,IS,Mat *);
304: EXTERN int MatPermuteSparsify(Mat,int,PetscReal,PetscReal,IS,IS,Mat *);
305: EXTERN int MatDiagonalScale(Mat,Vec,Vec);
306: EXTERN int MatDiagonalSet(Mat,Vec,InsertMode);
307: EXTERN int MatEqual(Mat,Mat,PetscTruth*);
309: EXTERN int MatNorm(Mat,NormType,PetscReal *);
310: EXTERN int MatZeroEntries(Mat);
311: EXTERN int MatZeroRows(Mat,IS,PetscScalar*);
312: EXTERN int MatZeroColumns(Mat,IS,PetscScalar*);
314: EXTERN int MatUseScaledForm(Mat,PetscTruth);
315: EXTERN int MatScaleSystem(Mat,Vec,Vec);
316: EXTERN int MatUnScaleSystem(Mat,Vec,Vec);
318: EXTERN int MatGetSize(Mat,int*,int*);
319: EXTERN int MatGetLocalSize(Mat,int*,int*);
320: EXTERN int MatGetOwnershipRange(Mat,int*,int*);
322: /*E
323: MatReuse - Indicates if matrices obtained from a previous call to MatGetSubMatrices()
324: or MatGetSubMatrix() are to be reused to store the new matrix values.
326: Level: beginner
328: Any additions/changes here MUST also be made in include/finclude/petscmat.h
330: .seealso: MatGetSubMatrices(), MatGetSubMatrix(), MatDestroyMatrices()
331: E*/
332: typedef enum {MAT_INITIAL_MATRIX,MAT_REUSE_MATRIX} MatReuse;
333: EXTERN int MatGetSubMatrices(Mat,int,IS *,IS *,MatReuse,Mat **);
334: EXTERN int MatDestroyMatrices(int,Mat **);
335: EXTERN int MatGetSubMatrix(Mat,IS,IS,int,MatReuse,Mat *);
337: EXTERN int MatIncreaseOverlap(Mat,int,IS *,int);
339: EXTERN int MatAXPY(PetscScalar *,Mat,Mat,MatStructure);
340: EXTERN int MatAYPX(PetscScalar *,Mat,Mat);
341: EXTERN int MatCompress(Mat);
343: EXTERN int MatScale(PetscScalar *,Mat);
344: EXTERN int MatShift(PetscScalar *,Mat);
346: EXTERN int MatSetLocalToGlobalMapping(Mat,ISLocalToGlobalMapping);
347: EXTERN int MatSetLocalToGlobalMappingBlock(Mat,ISLocalToGlobalMapping);
348: EXTERN int MatZeroRowsLocal(Mat,IS,PetscScalar*);
349: EXTERN int MatSetValuesLocal(Mat,int,int*,int,int*,PetscScalar*,InsertMode);
350: EXTERN int MatSetValuesBlockedLocal(Mat,int,int*,int,int*,PetscScalar*,InsertMode);
352: EXTERN int MatSetStashInitialSize(Mat,int,int);
354: EXTERN int MatInterpolateAdd(Mat,Vec,Vec,Vec);
355: EXTERN int MatInterpolate(Mat,Vec,Vec);
356: EXTERN int MatRestrict(Mat,Vec,Vec);
358: /*
359: These three (or four) macros MUST be used together. The third one closes the open { of the first one
360: */
361: #define MatPreallocateInitialize(comm,nrows,ncols,dnz,onz) 0;
362: {
363: int _4_ierr,__tmp = (nrows),__ctmp = (ncols),__rstart,__start,__end;
364: _4_PetscMalloc(2*__tmp*sizeof(int),&dnz);CHKERRQ(_4_ierr);onz = dnz + __tmp;
365: _4_PetscMemzero(dnz,2*__tmp*sizeof(int));CHKERRQ(_4_ierr);
366: _4_MPI_Scan(&__ctmp,&__end,1,MPI_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __start = __end - __ctmp;
367: _4_MPI_Scan(&__tmp,&__rstart,1,MPI_INT,MPI_SUM,comm);CHKERRQ(_4_ierr); __rstart = __rstart - __tmp;
369: #define MatPreallocateSetLocal(map,nrows,rows,ncols,cols,dnz,onz) 0;
370: {
371: int __l;
372: _4_ISLocalToGlobalMappingApply(map,nrows,rows,rows);CHKERRQ(_4_ierr);
373: _4_ISLocalToGlobalMappingApply(map,ncols,cols,cols);CHKERRQ(_4_ierr);
374: for (__l=0;__l<nrows;__l++) {
375: _4_MatPreallocateSet((rows)[__l],ncols,cols,dnz,onz);CHKERRQ(_4_ierr);
376: }
377: }
378:
379: #define MatPreallocateSet(row,nc,cols,dnz,onz) 0;
380: { int __i;
381: for (__i=0; __i<nc; __i++) {
382: if (cols[__i] < __start || cols[__i] >= __end) onz[row - __rstart]++;
383: }
384: dnz[row - __rstart] = nc - onz[row - __rstart];
385: }
387: #define MatPreallocateFinalize(dnz,onz) 0;_4_PetscFree(dnz);CHKERRQ(_4_ierr);}
389: /* Routines unique to particular data structures */
390: EXTERN int MatShellGetContext(Mat,void **);
392: EXTERN int MatBDiagGetData(Mat,int*,int*,int**,int**,PetscScalar***);
393: EXTERN int MatSeqAIJSetColumnIndices(Mat,int *);
394: EXTERN int MatSeqBAIJSetColumnIndices(Mat,int *);
395: EXTERN int MatCreateSeqAIJWithArrays(MPI_Comm,int,int,int*,int*,PetscScalar *,Mat*);
397: EXTERN int MatSeqBAIJSetPreallocation(Mat,int,int,int*);
398: EXTERN int MatSeqSBAIJSetPreallocation(Mat,int,int,int*);
399: EXTERN int MatSeqAIJSetPreallocation(Mat,int,int*);
400: EXTERN int MatSeqDensePreallocation(Mat,PetscScalar*);
401: EXTERN int MatSeqBDiagSetPreallocation(Mat,int,int,int*,PetscScalar**);
402: EXTERN int MatSeqDenseSetPreallocation(Mat,PetscScalar*);
404: EXTERN int MatMPIBAIJSetPreallocation(Mat,int,int,int*,int,int*);
405: EXTERN int MatMPISBAIJSetPreallocation(Mat,int,int,int*,int,int*);
406: EXTERN int MatMPIAIJSetPreallocation(Mat,int,int*,int,int*);
407: EXTERN int MatMPIDensePreallocation(Mat,PetscScalar*);
408: EXTERN int MatMPIBDiagSetPreallocation(Mat,int,int,int*,PetscScalar**);
409: EXTERN int MatMPIAdjSetPreallocation(Mat,int*,int*,int*);
410: EXTERN int MatMPIDenseSetPreallocation(Mat,PetscScalar*);
411: EXTERN int MatMPIRowbsSetPreallocation(Mat,int,int*);
412: EXTERN int MatMPIAIJGetSeqAIJ(Mat,Mat*,Mat*,int**);
413: EXTERN int MatMPIBAIJGetSeqBAIJ(Mat,Mat*,Mat*,int**);
414: EXTERN int MatAdicSetLocalFunction(Mat,void (*)(void));
416: EXTERN int MatStoreValues(Mat);
417: EXTERN int MatRetrieveValues(Mat);
419: EXTERN int MatDAADSetCtx(Mat,void*);
421: /*
422: These routines are not usually accessed directly, rather solving is
423: done through the SLES, KSP and PC interfaces.
424: */
426: /*E
427: MatOrderingType - String with the name of a PETSc matrix ordering or the creation function
428: with an optional dynamic library name, for example
429: http://www.mcs.anl.gov/petsc/lib.a:orderingcreate()
431: Level: beginner
433: .seealso: MatGetOrdering()
434: E*/
435: typedef char* MatOrderingType;
436: #define MATORDERING_NATURAL "natural"
437: #define MATORDERING_ND "nd"
438: #define MATORDERING_1WD "1wd"
439: #define MATORDERING_RCM "rcm"
440: #define MATORDERING_QMD "qmd"
441: #define MATORDERING_ROWLENGTH "rowlength"
442: #define MATORDERING_DSC_ND "dsc_nd"
443: #define MATORDERING_DSC_MMD "dsc_mmd"
444: #define MATORDERING_DSC_MDF "dsc_mdf"
445: #define MATORDERING_CONSTRAINED "constrained"
446: #define MATORDERING_IDENTITY "identity"
447: #define MATORDERING_REVERSE "reverse"
449: EXTERN int MatGetOrdering(Mat,MatOrderingType,IS*,IS*);
450: EXTERN int MatOrderingRegister(char*,char*,char*,int(*)(Mat,MatOrderingType,IS*,IS*));
451: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
452: #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,0)
453: #else
454: #define MatOrderingRegisterDynamic(a,b,c,d) MatOrderingRegister(a,b,c,d)
455: #endif
456: EXTERN int MatOrderingRegisterDestroy(void);
457: EXTERN int MatOrderingRegisterAll(char*);
458: extern PetscTruth MatOrderingRegisterAllCalled;
459: extern PetscFList MatOrderingList;
461: EXTERN int MatReorderForNonzeroDiagonal(Mat,PetscReal,IS,IS);
463: EXTERN int MatCholeskyFactor(Mat,IS,PetscReal);
464: EXTERN int MatCholeskyFactorSymbolic(Mat,IS,PetscReal,Mat*);
465: EXTERN int MatCholeskyFactorNumeric(Mat,Mat*);
467: /*S
468: MatILUInfo - Data based into the matrix ILU factorization routines
470: In Fortran these are simply double precision arrays of size MAT_ILUINFO_SIZE
472: Notes: These are not usually directly used by users, instead use the PC type of ILU
473: All entries are double precision.
475: Level: developer
477: .seealso: MatILUFactorSymbolic(), MatILUFactor(), MatLUInfo, MatCholeskyInfo
479: S*/
480: typedef struct {
481: PetscReal levels; /* ILU(levels) */
482: PetscReal fill; /* expected fill; nonzeros in factored matrix/nonzeros in original matrix*/
483: PetscReal diagonal_fill; /* force diagonal to fill in if initially not filled */
484: PetscReal dt; /* drop tolerance */
485: PetscReal dtcol; /* tolerance for pivoting */
486: PetscReal dtcount; /* maximum nonzeros to be allowed per row */
487: PetscReal damping; /* scaling of identity added to matrix to prevent zero pivots */
488: PetscReal damp; /* if is 1.0 and factorization fails, damp until successful */
489: PetscReal zeropivot; /* pivot is called zero if less than this */
490: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
491: factorization may be faster if do not pivot */
492: } MatILUInfo;
494: /*S
495: MatLUInfo - Data based into the matrix LU factorization routines
497: In Fortran these are simply double precision arrays of size MAT_LUINFO_SIZE
499: Notes: These are not usually directly used by users, instead use the PC type of LU
500: All entries are double precision.
502: Level: developer
504: .seealso: MatLUFactorSymbolic(), MatILUInfo, MatCholeskyInfo
506: S*/
507: typedef struct {
508: PetscReal fill; /* expected fill; nonzeros in factored matrix/nonzeros in original matrix */
509: PetscReal dtcol; /* tolerance for pivoting; pivot if off_diagonal*dtcol > diagonal */
510: PetscReal damping; /* scaling of identity added to matrix to prevent zero pivots */
511: PetscReal damp; /* if this is 1.0 and factorization fails, damp until successful */
512: PetscReal zeropivot; /* pivot is called zero if less than this */
513: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
514: factorization may be faster if do not pivot */
515: } MatLUInfo;
517: /*S
518: MatCholeskyInfo - Data based into the matrix Cholesky factorization routines
520: In Fortran these are simply double precision arrays of size MAT_CHOLESKYINFO_SIZE
522: Notes: These are not usually directly used by users, instead use the PC type of Cholesky
523: All entries are double precision.
525: Level: developer
527: .seealso: MatCholeskyFactorSymbolic(), MatLUInfo, MatILUInfo
529: S*/
530: typedef struct {
531: PetscReal fill; /* expected fill; nonzeros in factored matrix/nonzeros in original matrix */
532: PetscReal damping; /* scaling of identity added to matrix to prevent zero pivots */
533: PetscReal damp; /* if this is 1.0 and factorization fails, damp until successful */
534: PetscReal pivotinblocks; /* for BAIJ and SBAIJ matrices pivot in factorization on blocks, default 1.0
535: factorization may be faster if do not pivot */
536: } MatCholeskyInfo;
538: EXTERN int MatLUFactor(Mat,IS,IS,MatLUInfo*);
539: EXTERN int MatILUFactor(Mat,IS,IS,MatILUInfo*);
540: EXTERN int MatLUFactorSymbolic(Mat,IS,IS,MatLUInfo*,Mat*);
541: EXTERN int MatILUFactorSymbolic(Mat,IS,IS,MatILUInfo*,Mat*);
542: EXTERN int MatICCFactorSymbolic(Mat,IS,PetscReal,int,Mat*);
543: EXTERN int MatICCFactor(Mat,IS,PetscReal,int);
544: EXTERN int MatLUFactorNumeric(Mat,Mat*);
545: EXTERN int MatILUDTFactor(Mat,MatILUInfo*,IS,IS,Mat *);
547: EXTERN int MatSolve(Mat,Vec,Vec);
548: EXTERN int MatForwardSolve(Mat,Vec,Vec);
549: EXTERN int MatBackwardSolve(Mat,Vec,Vec);
550: EXTERN int MatSolveAdd(Mat,Vec,Vec,Vec);
551: EXTERN int MatSolveTranspose(Mat,Vec,Vec);
552: EXTERN int MatSolveTransposeAdd(Mat,Vec,Vec,Vec);
554: EXTERN int MatSetUnfactored(Mat);
556: /* MatSORType may be bitwise ORd together, so do not change the numbers */
557: /*E
558: MatSORType - What type of (S)SOR to perform
560: Level: beginner
562: May be bitwise ORd together
564: Any additions/changes here MUST also be made in include/finclude/petscmat.h
566: .seealso: MatRelax()
567: E*/
568: typedef enum {SOR_FORWARD_SWEEP=1,SOR_BACKWARD_SWEEP=2,SOR_SYMMETRIC_SWEEP=3,
569: SOR_LOCAL_FORWARD_SWEEP=4,SOR_LOCAL_BACKWARD_SWEEP=8,
570: SOR_LOCAL_SYMMETRIC_SWEEP=12,SOR_ZERO_INITIAL_GUESS=16,
571: SOR_EISENSTAT=32,SOR_APPLY_UPPER=64,SOR_APPLY_LOWER=128} MatSORType;
572: EXTERN int MatRelax(Mat,Vec,PetscReal,MatSORType,PetscReal,int,int,Vec);
574: /*
575: These routines are for efficiently computing Jacobians via finite differences.
576: */
578: /*E
579: MatColoringType - String with the name of a PETSc matrix coloring or the creation function
580: with an optional dynamic library name, for example
581: http://www.mcs.anl.gov/petsc/lib.a:coloringcreate()
583: Level: beginner
585: .seealso: MatGetColoring()
586: E*/
587: typedef char* MatColoringType;
588: #define MATCOLORING_NATURAL "natural"
589: #define MATCOLORING_SL "sl"
590: #define MATCOLORING_LF "lf"
591: #define MATCOLORING_ID "id"
593: EXTERN int MatGetColoring(Mat,MatColoringType,ISColoring*);
594: EXTERN int MatColoringRegister(char*,char*,char*,int(*)(Mat,MatColoringType,ISColoring *));
595: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
596: #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,0)
597: #else
598: #define MatColoringRegisterDynamic(a,b,c,d) MatColoringRegister(a,b,c,d)
599: #endif
600: EXTERN int MatColoringRegisterAll(char *);
601: extern PetscTruth MatColoringRegisterAllCalled;
602: EXTERN int MatColoringRegisterDestroy(void);
603: EXTERN int MatColoringPatch(Mat,int,int,int *,ISColoring*);
605: /*S
606: MatFDColoring - Object for computing a sparse Jacobian via finite differences
607: and coloring
609: Level: beginner
611: Concepts: coloring, sparse Jacobian, finite differences
613: .seealso: MatFDColoringCreate()
614: S*/
615: typedef struct _p_MatFDColoring *MatFDColoring;
617: EXTERN int MatFDColoringCreate(Mat,ISColoring,MatFDColoring *);
618: EXTERN int MatFDColoringDestroy(MatFDColoring);
619: EXTERN int MatFDColoringView(MatFDColoring,PetscViewer);
620: EXTERN int MatFDColoringSetFunction(MatFDColoring,int (*)(void),void*);
621: EXTERN int MatFDColoringSetParameters(MatFDColoring,PetscReal,PetscReal);
622: EXTERN int MatFDColoringSetFrequency(MatFDColoring,int);
623: EXTERN int MatFDColoringGetFrequency(MatFDColoring,int*);
624: EXTERN int MatFDColoringSetFromOptions(MatFDColoring);
625: EXTERN int MatFDColoringApply(Mat,MatFDColoring,Vec,MatStructure*,void *);
626: EXTERN int MatFDColoringApplyTS(Mat,MatFDColoring,PetscReal,Vec,MatStructure*,void *);
627: EXTERN int MatFDColoringSetRecompute(MatFDColoring);
628: EXTERN int MatFDColoringSetF(MatFDColoring,Vec);
630: /*
631: These routines are for partitioning matrices: currently used only
632: for adjacency matrix, MatCreateMPIAdj().
633: */
635: /*S
636: MatPartitioning - Object for managing the partitioning of a matrix or graph
638: Level: beginner
640: Concepts: partitioning
642: .seealso: MatParitioningCreate(), MatPartitioningType
643: S*/
644: typedef struct _p_MatPartitioning *MatPartitioning;
646: /*E
647: MatPartitioningType - String with the name of a PETSc matrix partitioing or the creation function
648: with an optional dynamic library name, for example
649: http://www.mcs.anl.gov/petsc/lib.a:partitioningcreate()
651: Level: beginner
653: .seealso: MatPartitioingCreate(), MatPartitioning
654: E*/
655: typedef char* MatPartitioningType;
656: #define MAT_PARTITIONING_CURRENT "current"
657: #define MAT_PARTITIONING_PARMETIS "parmetis"
659: EXTERN int MatPartitioningCreate(MPI_Comm,MatPartitioning*);
660: EXTERN int MatPartitioningSetType(MatPartitioning,MatPartitioningType);
661: EXTERN int MatPartitioningSetAdjacency(MatPartitioning,Mat);
662: EXTERN int MatPartitioningSetVertexWeights(MatPartitioning,int*);
663: EXTERN int MatPartitioningApply(MatPartitioning,IS*);
664: EXTERN int MatPartitioningDestroy(MatPartitioning);
666: EXTERN int MatPartitioningRegister(char*,char*,char*,int(*)(MatPartitioning));
667: #if defined(PETSC_USE_DYNAMIC_LIBRARIES)
668: #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,0)
669: #else
670: #define MatPartitioningRegisterDynamic(a,b,c,d) MatPartitioningRegister(a,b,c,d)
671: #endif
673: EXTERN int MatPartitioningRegisterAll(char *);
674: extern PetscTruth MatPartitioningRegisterAllCalled;
675: EXTERN int MatPartitioningRegisterDestroy(void);
677: EXTERN int MatPartitioningView(MatPartitioning,PetscViewer);
678: EXTERN int MatPartitioningSetFromOptions(MatPartitioning);
679: EXTERN int MatPartitioningGetType(MatPartitioning,MatPartitioningType*);
681: EXTERN int MatPartitioningParmetisSetCoarseSequential(MatPartitioning);
683: /*
684: If you add entries here you must also add them to finclude/petscmat.h
685: */
686: typedef enum { MATOP_SET_VALUES=0,
687: MATOP_GET_ROW=1,
688: MATOP_RESTORE_ROW=2,
689: MATOP_MULT=3,
690: MATOP_MULT_ADD=4,
691: MATOP_MULT_TRANSPOSE=5,
692: MATOP_MULT_TRANSPOSE_ADD=6,
693: MATOP_SOLVE=7,
694: MATOP_SOLVE_ADD=8,
695: MATOP_SOLVE_TRANSPOSE=9,
696: MATOP_SOLVE_TRANSPOSE_ADD=10,
697: MATOP_LUFACTOR=11,
698: MATOP_CHOLESKYFACTOR=12,
699: MATOP_RELAX=13,
700: MATOP_TRANSPOSE=14,
701: MATOP_GETINFO=15,
702: MATOP_EQUAL=16,
703: MATOP_GET_DIAGONAL=17,
704: MATOP_DIAGONAL_SCALE=18,
705: MATOP_NORM=19,
706: MATOP_ASSEMBLY_BEGIN=20,
707: MATOP_ASSEMBLY_END=21,
708: MATOP_COMPRESS=22,
709: MATOP_SET_OPTION=23,
710: MATOP_ZERO_ENTRIES=24,
711: MATOP_ZERO_ROWS=25,
712: MATOP_LUFACTOR_SYMBOLIC=26,
713: MATOP_LUFACTOR_NUMERIC=27,
714: MATOP_CHOLESKY_FACTOR_SYMBOLIC=28,
715: MATOP_CHOLESKY_FACTOR_NUMERIC=29,
716: MATOP_SETUP_PREALLOCATION=30,
717: MATOP_ILUFACTOR_SYMBOLIC=31,
718: MATOP_ICCFACTOR_SYMBOLIC=32,
719: MATOP_GET_ARRAY=33,
720: MATOP_RESTORE_ARRAY=34,
721: MATOP_DUPLCIATE=35,
722: MATOP_FORWARD_SOLVE=36,
723: MATOP_BACKWARD_SOLVE=37,
724: MATOP_ILUFACTOR=38,
725: MATOP_ICCFACTOR=39,
726: MATOP_AXPY=40,
727: MATOP_GET_SUBMATRICES=41,
728: MATOP_INCREASE_OVERLAP=42,
729: MATOP_GET_VALUES=43,
730: MATOP_COPY=44,
731: MATOP_PRINT_HELP=45,
732: MATOP_SCALE=46,
733: MATOP_SHIFT=47,
734: MATOP_DIAGONAL_SHIFT=48,
735: MATOP_ILUDT_FACTOR=49,
736: MATOP_GET_BLOCK_SIZE=50,
737: MATOP_GET_ROW_IJ=51,
738: MATOP_RESTORE_ROW_IJ=52,
739: MATOP_GET_COLUMN_IJ=53,
740: MATOP_RESTORE_COLUMN_IJ=54,
741: MATOP_FDCOLORING_CREATE=55,
742: MATOP_COLORING_PATCH=56,
743: MATOP_SET_UNFACTORED=57,
744: MATOP_PERMUTE=58,
745: MATOP_SET_VALUES_BLOCKED=59,
746: MATOP_GET_SUBMATRIX=60,
747: MATOP_DESTROY=61,
748: MATOP_VIEW=62,
749: MATOP_GET_MAPS=63,
750: MATOP_USE_SCALED_FORM=64,
751: MATOP_SCALE_SYSTEM=65,
752: MATOP_UNSCALE_SYSTEM=66,
753: MATOP_SET_LOCAL_TO_GLOBAL_MAPPING=67,
754: MATOP_SET_VALUES_LOCAL=68,
755: MATOP_ZERO_ROWS_LOCAL=69,
756: MATOP_GET_ROW_MAX=70,
757: MATOP_CONVERT=71,
758: MATOP_SET_COLORING=72,
759: MATOP_SET_VALUES_ADIC=73,
760: MATOP_SET_VALUES_ADIFOR=74,
761: MATOP_FD_COLORING_APPLY=75,
762: MATOP_SET_FROM_OPTIONS=76,
763: MATOP_MULT_CONSTRAINED=77,
764: MATOP_MULT_TRANSPOSE_CONSTRAINED=78,
765: MATOP_ILU_FACTOR_SYMBOLIC_CONSTRAINED=79,
766: MATOP_PERMUTE_SPARSIFY=80,
767: MATOP_MULT_MULTIPLE=81,
768: MATOP_SOLVE_MULTIPLE=82
769: } MatOperation;
770: EXTERN int MatHasOperation(Mat,MatOperation,PetscTruth*);
771: EXTERN int MatShellSetOperation(Mat,MatOperation,void(*)(void));
772: EXTERN int MatShellGetOperation(Mat,MatOperation,void(**)(void));
773: EXTERN int MatShellSetContext(Mat,void*);
775: /*
776: Codes for matrices stored on disk. By default they are
777: stored in a universal format. By changing the format with
778: PetscViewerSetFormat(viewer,PETSC_VIEWER_BINARY_NATIVE); the matrices will
779: be stored in a way natural for the matrix, for example dense matrices
780: would be stored as dense. Matrices stored this way may only be
781: read into matrices of the same time.
782: */
783: #define MATRIX_BINARY_FORMAT_DENSE -1
785: /*
786: New matrix classes not yet distributed
787: */
788: /*
789: MatAIJIndices is a data structure for storing the nonzero location information
790: for sparse matrices. Several matrices with identical nonzero structure can share
791: the same MatAIJIndices.
792: */
793: typedef struct _p_MatAIJIndices* MatAIJIndices;
795: EXTERN int MatCreateAIJIndices(int,int,int*,int*,PetscTruth,MatAIJIndices*);
796: EXTERN int MatCreateAIJIndicesEmpty(int,int,int*,PetscTruth,MatAIJIndices*);
797: EXTERN int MatAttachAIJIndices(MatAIJIndices,MatAIJIndices*);
798: EXTERN int MatDestroyAIJIndices(MatAIJIndices);
799: EXTERN int MatCopyAIJIndices(MatAIJIndices,MatAIJIndices*);
800: EXTERN int MatValidateAIJIndices(int,MatAIJIndices);
801: EXTERN int MatShiftAIJIndices(MatAIJIndices);
802: EXTERN int MatShrinkAIJIndices(MatAIJIndices);
803: EXTERN int MatTransposeAIJIndices(MatAIJIndices,MatAIJIndices*);
805: EXTERN int MatCreateSeqCSN(MPI_Comm,int,int,int*,int,Mat*);
806: EXTERN int MatCreateSeqCSN_Single(MPI_Comm,int,int,int*,int,Mat*);
807: EXTERN int MatCreateSeqCSNWithPrecision(MPI_Comm,int,int,int*,int,PetscScalarPrecision,Mat*);
809: EXTERN int MatCreateSeqCSNIndices(MPI_Comm,MatAIJIndices,int,Mat *);
810: EXTERN int MatCreateSeqCSNIndices_Single(MPI_Comm,MatAIJIndices,int,Mat *);
811: EXTERN int MatCreateSeqCSNIndicesWithPrecision(MPI_Comm,MatAIJIndices,int,PetscScalarPrecision,Mat *);
813: EXTERN int MatMPIBAIJSetHashTableFactor(Mat,PetscReal);
814: EXTERN int MatSeqAIJGetInodeSizes(Mat,int *,int *[],int *);
815: EXTERN int MatMPIRowbsGetColor(Mat,ISColoring *);
817: /*S
818: MatNullSpace - Object that removes a null space from a vector, i.e.
819: orthogonalizes the vector to a subsapce
821: Level: beginner
823: Concepts: matrix; linear operator, null space
825: Users manual sections:
826: . Section 4.15 Solving Singular Systems
828: .seealso: MatNullSpaceCreate()
829: S*/
830: typedef struct _p_MatNullSpace* MatNullSpace;
832: EXTERN int MatNullSpaceCreate(MPI_Comm,int,int,Vec *,MatNullSpace*);
833: EXTERN int MatNullSpaceDestroy(MatNullSpace);
834: EXTERN int MatNullSpaceRemove(MatNullSpace,Vec,Vec*);
835: EXTERN int MatNullSpaceAttach(Mat,MatNullSpace);
836: EXTERN int MatNullSpaceTest(MatNullSpace,Mat);
838: EXTERN int MatReorderingSeqSBAIJ(Mat A,IS isp);
839: EXTERN int MatMPISBAIJSetHashTableFactor(Mat,PetscReal);
840: EXTERN int MatSeqSBAIJSetColumnIndices(Mat,int *);
843: EXTERN int MatCreateMAIJ(Mat,int,Mat*);
844: EXTERN int MatMAIJRedimension(Mat,int,Mat*);
845: EXTERN int MatMAIJGetAIJ(Mat,Mat*);
847: EXTERN int MatMPIAdjSetValues(Mat,int*,int*,int*);
849: EXTERN int MatComputeExplicitOperator(Mat,Mat*);
851: EXTERN int MatESISetType(Mat,char*);
852: EXTERN int MatESISetFromOptions(Mat);
854: EXTERN int MatDiagonalScaleLocal(Mat,Vec);
856: EXTERN int PetscViewerMathematicaPutMatrix(PetscViewer, int, int, PetscReal *);
857: EXTERN int PetscViewerMathematicaPutCSRMatrix(PetscViewer, int, int, int *, int *, PetscReal *);
859: #endif