xref: /petsc/src/mat/impls/baij/seq/dgedi.c (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1 /*
2               This file creating by running f2c
3             linpack. this version dated 08/14/78
4       cleve moler, university of new mexico, argonne national lab.
5 
6       Computes the inverse of a matrix given its factors and pivots
7     calculated by PetscLINPACKgefa(). Performed in-place for an n by n
8     dense matrix.
9 
10        Used by the sparse factorization routines in
11      src/mat/impls/baij/seq
12 
13 */
14 
15 #include <petsc/private/kernels/blockinvert.h>
16 
17 PetscErrorCode PetscLINPACKgedi(MatScalar *a, PetscInt n, PetscInt *ipvt, MatScalar *work)
18 {
19   PetscInt   i__2, kb, kp1, nm1, i, j, k, l, ll, kn, knp1, jn1;
20   MatScalar *aa, *ax, *ay, tmp;
21   MatScalar  t;
22 
23   PetscFunctionBegin;
24   --work;
25   --ipvt;
26   a -= n + 1;
27 
28   /*     compute inverse(u) */
29 
30   for (k = 1; k <= n; ++k) {
31     kn      = k * n;
32     knp1    = kn + k;
33     a[knp1] = 1.0 / a[knp1];
34     t       = -a[knp1];
35     i__2    = k - 1;
36     aa      = &a[1 + kn];
37     for (ll = 0; ll < i__2; ll++) aa[ll] *= t;
38     kp1 = k + 1;
39     if (n < kp1) continue;
40     ax = aa;
41     for (j = kp1; j <= n; ++j) {
42       jn1        = j * n;
43       t          = a[k + jn1];
44       a[k + jn1] = 0.;
45       ay         = &a[1 + jn1];
46       for (ll = 0; ll < k; ll++) ay[ll] += t * ax[ll];
47     }
48   }
49 
50   /*    form inverse(u)*inverse(l) */
51 
52   nm1 = n - 1;
53   if (nm1 < 1) PetscFunctionReturn(PETSC_SUCCESS);
54   for (kb = 1; kb <= nm1; ++kb) {
55     k   = n - kb;
56     kn  = k * n;
57     kp1 = k + 1;
58     aa  = a + kn;
59     for (i = kp1; i <= n; ++i) {
60       work[i] = aa[i];
61       aa[i]   = 0.;
62     }
63     for (j = kp1; j <= n; ++j) {
64       t  = work[j];
65       ax = &a[j * n + 1];
66       ay = &a[kn + 1];
67       for (ll = 0; ll < n; ll++) ay[ll] += t * ax[ll];
68     }
69     l = ipvt[k];
70     if (l != k) {
71       ax = &a[kn + 1];
72       ay = &a[l * n + 1];
73       for (ll = 0; ll < n; ll++) {
74         tmp    = ax[ll];
75         ax[ll] = ay[ll];
76         ay[ll] = tmp;
77       }
78     }
79   }
80   PetscFunctionReturn(PETSC_SUCCESS);
81 }
82