Actual source code: sbaij.h
1: /* $Id: sbaij.h,v 1.21 2001/08/07 03:03:01 balay Exp $ */
3: #include src/mat/matimpl.h
8: /*
9: MATSEQSBAIJ format - Block compressed row storage. The i[] and j[]
10: arrays start at 0.
11: */
13: typedef struct {
14: PetscTruth sorted; /* if true, rows are sorted by increasing columns */
15: PetscTruth roworiented; /* if true, row-oriented input, default */
16: int nonew; /* 1 don't add new nonzeros, -1 generate error on new */
17: PetscTruth singlemalloc; /* if true a, i, and j have been obtained with
18: one big malloc */
19: int bs,bs2; /* block size, square of block size */
20: int mbs,nbs; /* rows/bs or columns/bs */
21: int s_nz,s_maxnz; /* total diagonal and superdiagonal nonzero blocks,
22: total allocated diagonal and superdiagonal nonzero blocks*/
23: int *diag; /* pointers to diagonal elements */
24: int *i,*inew; /* pointer to beginning of each row */
25: int *imax; /* maximum space allocated for each row */
26: int *ilen; /* actual length of each row */
27: int *j,*jnew; /* column values: j + i[k] is start of row k */
28: MatScalar *a,*anew; /* nonzero diagonal and superdiagonal elements */
29: IS row,icol; /* index sets, used for reorderings */
30: PetscScalar *solve_work; /* work space used in MatSolve */
31: int reallocs; /* number of mallocs done during MatSetValues()
32: as more values are set then were preallocated */
33: PetscScalar *mult_work; /* work array for matrix vector product*/
34: PetscScalar *saved_values;
36: PetscTruth keepzeroedrows; /* if true, MatZeroRows() will not change nonzero structure */
37: int *a2anew; /* map used for symm permutation */
38: PetscTruth permute; /* if true, a non-trivial permutation is used for factorization */
39: PetscTruth pivotinblocks; /* pivot inside factorization of each diagonal block */
40: } Mat_SeqSBAIJ;
42: extern int MatICCFactorSymbolic_SeqSBAIJ(Mat,IS,PetscReal,int,Mat *);
43: extern int MatDuplicate_SeqSBAIJ(Mat,MatDuplicateOption,Mat*);
44: extern int MatMarkDiagonal_SeqSBAIJ(Mat);
46: extern int MatCholeskyFactorNumeric_SeqSBAIJ_1_NaturalOrdering(Mat,Mat*);
47: extern int MatSolve_SeqSBAIJ_1_NaturalOrdering(Mat,Vec,Vec);
48: extern int MatSolveTranspose_SeqSBAIJ_1_NaturalOrdering(Mat,Vec,Vec);
50: extern int MatCholeskyFactorNumeric_SeqSBAIJ_2_NaturalOrdering(Mat,Mat*);
51: extern int MatSolve_SeqSBAIJ_2_NaturalOrdering(Mat,Vec,Vec);
52: extern int MatSolveTranspose_SeqSBAIJ_2_NaturalOrdering(Mat,Vec,Vec);
54: extern int MatCholeskyFactorNumeric_SeqSBAIJ_3_NaturalOrdering(Mat,Mat*);
55: extern int MatSolve_SeqSBAIJ_3_NaturalOrdering(Mat,Vec,Vec);
56: extern int MatSolveTranspose_SeqSBAIJ_3_NaturalOrdering(Mat,Vec,Vec);
58: extern int MatCholeskyFactorNumeric_SeqSBAIJ_4_NaturalOrdering(Mat,Mat*);
59: extern int MatSolve_SeqSBAIJ_4_NaturalOrdering(Mat,Vec,Vec);
60: extern int MatSolveTranspose_SeqSBAIJ_4_NaturalOrdering(Mat,Vec,Vec);
62: extern int MatCholeskyFactorNumeric_SeqSBAIJ_5_NaturalOrdering(Mat,Mat*);
63: extern int MatSolve_SeqSBAIJ_5_NaturalOrdering(Mat,Vec,Vec);
64: extern int MatSolveTranspose_SeqSBAIJ_5_NaturalOrdering(Mat,Vec,Vec);
66: extern int MatCholeskyFactorNumeric_SeqSBAIJ_6_NaturalOrdering(Mat,Mat*);
67: extern int MatSolve_SeqSBAIJ_6_NaturalOrdering(Mat,Vec,Vec);
68: extern int MatSolveTranspose_SeqSBAIJ_6_NaturalOrdering(Mat,Vec,Vec);
70: extern int MatCholeskyFactorNumeric_SeqSBAIJ_7_NaturalOrdering(Mat,Mat*);
71: extern int MatSolve_SeqSBAIJ_7_NaturalOrdering(Mat,Vec,Vec);
72: extern int MatSolveTranspose_SeqSBAIJ_7_NaturalOrdering(Mat,Vec,Vec);
74: extern int MatCholeskyFactorNumeric_SeqSBAIJ_N_NaturalOrdering(Mat,Mat*);
75: extern int MatSolve_SeqSBAIJ_N_NaturalOrdering(Mat,Vec,Vec);
77: extern int MatReorderingSeqSBAIJ(Mat,IS);
79: extern int MatRelax_SeqSBAIJ(Mat,Vec,PetscReal,MatSORType,PetscReal,int,int,Vec);
82: #endif