xref: /petsc/src/mat/impls/baij/seq/dgefa2.c (revision dba47a550923b04c7c4ebbb735eb62a1b3e4e9ae)
1 #define PETSCMAT_DLL
2 
3 /*
4      Inverts 2 by 2 matrix using partial pivoting.
5 
6        Used by the sparse factorization routines in
7      src/mat/impls/baij/seq and src/mat/impls/bdiag/seq
8 
9        See also src/inline/ilu.h
10 
11        This is a combination of the Linpack routines
12     dgefa() and dgedi() specialized for a size of 2.
13 
14 */
15 #include "petsc.h"
16 
17 #undef __FUNCT__
18 #define __FUNCT__ "Kernel_A_gets_inverse_A_2"
19 PetscErrorCode Kernel_A_gets_inverse_A_2(MatScalar *a)
20 {
21     PetscInt   i__2,i__3,kp1,j,k,l,ll,i,ipvt[2],k3;
22     PetscInt   k4,j3;
23     MatScalar  *aa,*ax,*ay,work[4],stmp;
24     MatReal    tmp,max;
25 
26 /*     gaussian elimination with partial pivoting */
27 
28     PetscFunctionBegin;
29     /* Parameter adjustments */
30     a       -= 3;
31 
32     /*for (k = 1; k <= 1; ++k) {*/
33         k   = 1;
34 	kp1 = k + 1;
35         k3  = 2*k;
36         k4  = k3 + k;
37 /*        find l = pivot index */
38 
39 	i__2 = 2 - k;
40         aa = &a[k4];
41         max = PetscAbsScalar(aa[0]);
42         l = 1;
43         for (ll=1; ll<i__2; ll++) {
44           tmp = PetscAbsScalar(aa[ll]);
45           if (tmp > max) { max = tmp; l = ll+1;}
46         }
47         l       += k - 1;
48 	ipvt[k-1] = l;
49 
50 	if (a[l + k3] == 0.0) {
51 	  SETERRQ1(PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot, row %D",k-1);
52 	}
53 
54 /*           interchange if necessary */
55 
56 	if (l != k) {
57 	  stmp      = a[l + k3];
58 	  a[l + k3] = a[k4];
59 	  a[k4]     = stmp;
60         }
61 
62 /*           compute multipliers */
63 
64 	stmp = -1. / a[k4];
65 	i__2 = 2 - k;
66         aa = &a[1 + k4];
67         for (ll=0; ll<i__2; ll++) {
68           aa[ll] *= stmp;
69         }
70 
71 /*           row elimination with column indexing */
72 
73 	ax = &a[k4+1];
74         for (j = kp1; j <= 2; ++j) {
75             j3   = 2*j;
76 	    stmp = a[l + j3];
77 	    if (l != k) {
78 	      a[l + j3] = a[k + j3];
79 	      a[k + j3] = stmp;
80             }
81 
82 	    i__3 = 2 - k;
83             ay = &a[1+k+j3];
84             for (ll=0; ll<i__3; ll++) {
85               ay[ll] += stmp*ax[ll];
86             }
87 	}
88     /*}*/
89     ipvt[1] = 2;
90     if (a[6] == 0.0) {
91       SETERRQ1(PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot, row %D",1);
92     }
93 
94     /*
95          Now form the inverse
96     */
97 
98    /*     compute inverse(u) */
99 
100     for (k = 1; k <= 2; ++k) {
101         k3    = 2*k;
102         k4    = k3 + k;
103 	a[k4] = 1.0 / a[k4];
104 	stmp  = -a[k4];
105 	i__2  = k - 1;
106         aa    = &a[k3 + 1];
107         for (ll=0; ll<i__2; ll++) aa[ll] *= stmp;
108 	kp1 = k + 1;
109 	if (2 < kp1) continue;
110         ax = aa;
111         for (j = kp1; j <= 2; ++j) {
112             j3        = 2*j;
113 	    stmp      = a[k + j3];
114 	    a[k + j3] = 0.0;
115             ay        = &a[j3 + 1];
116             for (ll=0; ll<k; ll++) {
117               ay[ll] += stmp*ax[ll];
118             }
119 	}
120     }
121 
122    /*    form inverse(u)*inverse(l) */
123 
124     /*for (kb = 1; kb <= 1; ++kb) {*/
125 
126 	k   = 1;
127         k3  = 2*k;
128 	kp1 = k + 1;
129         aa  = a + k3;
130 	for (i = kp1; i <= 2; ++i) {
131             work[i-1] = aa[i];
132 	    aa[i]   = 0.0;
133 	}
134 	for (j = kp1; j <= 2; ++j) {
135 	    stmp  = work[j-1];
136             ax    = &a[2*j + 1];
137             ay    = &a[k3 + 1];
138             ay[0] += stmp*ax[0];
139             ay[1] += stmp*ax[1];
140 	}
141 	l = ipvt[k-1];
142 	if (l != k) {
143             ax = &a[k3 + 1];
144             ay = &a[2*l + 1];
145             stmp = ax[0]; ax[0] = ay[0]; ay[0] = stmp;
146             stmp = ax[1]; ax[1] = ay[1]; ay[1] = stmp;
147 	}
148 
149     PetscFunctionReturn(0);
150 }
151 
152 
153