Actual source code: dgefa7.c
petsc-3.6.1 2015-08-06
2: /*
3: Inverts 7 by 7 matrix using partial pivoting.
5: Used by the sparse factorization routines in
6: src/mat/impls/baij/seq
8: This is a combination of the Linpack routines
9: dgefa() and dgedi() specialized for a size of 7.
11: */
12: #include <petscsys.h>
16: PETSC_EXTERN PetscErrorCode PetscKernel_A_gets_inverse_A_7(MatScalar *a,PetscReal shift)
17: {
18: PetscInt i__2,i__3,kp1,j,k,l,ll,i,ipvt[7],kb,k3;
19: PetscInt k4,j3;
20: MatScalar *aa,*ax,*ay,work[49],stmp;
21: MatReal tmp,max;
23: /* gaussian elimination with partial pivoting */
26: shift = .25*shift*(1.e-12 + PetscAbsScalar(a[0]) + PetscAbsScalar(a[8]) + PetscAbsScalar(a[16]) + PetscAbsScalar(a[24]) + PetscAbsScalar(a[32]) + PetscAbsScalar(a[40]) + PetscAbsScalar(a[48]));
28: /* Parameter adjustments */
29: a -= 8;
31: for (k = 1; k <= 6; ++k) {
32: kp1 = k + 1;
33: k3 = 7*k;
34: k4 = k3 + k;
35: /* find l = pivot index */
37: i__2 = 8 - k;
38: aa = &a[k4];
39: max = PetscAbsScalar(aa[0]);
40: l = 1;
41: for (ll=1; ll<i__2; ll++) {
42: tmp = PetscAbsScalar(aa[ll]);
43: if (tmp > max) { max = tmp; l = ll+1;}
44: }
45: l += k - 1;
46: ipvt[k-1] = l;
48: if (a[l + k3] == 0.0) {
49: if (shift == 0.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot, row %D",k-1);
50: else {
51: /* SHIFT is applied to SINGLE diagonal entry; does this make any sense? */
52: a[l + k3] = shift;
53: }
54: }
56: /* interchange if necessary */
58: if (l != k) {
59: stmp = a[l + k3];
60: a[l + k3] = a[k4];
61: a[k4] = stmp;
62: }
64: /* compute multipliers */
66: stmp = -1. / a[k4];
67: i__2 = 7 - k;
68: aa = &a[1 + k4];
69: for (ll=0; ll<i__2; ll++) aa[ll] *= stmp;
71: /* row elimination with column indexing */
73: ax = &a[k4+1];
74: for (j = kp1; j <= 7; ++j) {
75: j3 = 7*j;
76: stmp = a[l + j3];
77: if (l != k) {
78: a[l + j3] = a[k + j3];
79: a[k + j3] = stmp;
80: }
82: i__3 = 7 - k;
83: ay = &a[1+k+j3];
84: for (ll=0; ll<i__3; ll++) ay[ll] += stmp*ax[ll];
85: }
86: }
87: ipvt[6] = 7;
88: if (a[56] == 0.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot, row %D",6);
90: /*
91: Now form the inverse
92: */
94: /* compute inverse(u) */
96: for (k = 1; k <= 7; ++k) {
97: k3 = 7*k;
98: k4 = k3 + k;
99: a[k4] = 1.0 / a[k4];
100: stmp = -a[k4];
101: i__2 = k - 1;
102: aa = &a[k3 + 1];
103: for (ll=0; ll<i__2; ll++) aa[ll] *= stmp;
104: kp1 = k + 1;
105: if (7 < kp1) continue;
106: ax = aa;
107: for (j = kp1; j <= 7; ++j) {
108: j3 = 7*j;
109: stmp = a[k + j3];
110: a[k + j3] = 0.0;
111: ay = &a[j3 + 1];
112: for (ll=0; ll<k; ll++) ay[ll] += stmp*ax[ll];
113: }
114: }
116: /* form inverse(u)*inverse(l) */
118: for (kb = 1; kb <= 6; ++kb) {
119: k = 7 - kb;
120: k3 = 7*k;
121: kp1 = k + 1;
122: aa = a + k3;
123: for (i = kp1; i <= 7; ++i) {
124: work[i-1] = aa[i];
125: aa[i] = 0.0;
126: }
127: for (j = kp1; j <= 7; ++j) {
128: stmp = work[j-1];
129: ax = &a[7*j + 1];
130: ay = &a[k3 + 1];
131: ay[0] += stmp*ax[0];
132: ay[1] += stmp*ax[1];
133: ay[2] += stmp*ax[2];
134: ay[3] += stmp*ax[3];
135: ay[4] += stmp*ax[4];
136: ay[5] += stmp*ax[5];
137: ay[6] += stmp*ax[6];
138: }
139: l = ipvt[k-1];
140: if (l != k) {
141: ax = &a[k3 + 1];
142: ay = &a[7*l + 1];
143: stmp = ax[0]; ax[0] = ay[0]; ay[0] = stmp;
144: stmp = ax[1]; ax[1] = ay[1]; ay[1] = stmp;
145: stmp = ax[2]; ax[2] = ay[2]; ay[2] = stmp;
146: stmp = ax[3]; ax[3] = ay[3]; ay[3] = stmp;
147: stmp = ax[4]; ax[4] = ay[4]; ay[4] = stmp;
148: stmp = ax[5]; ax[5] = ay[5]; ay[5] = stmp;
149: stmp = ax[6]; ax[6] = ay[6]; ay[6] = stmp;
150: }
151: }
152: return(0);
153: }