xref: /petsc/src/mat/graphops/color/impls/minpack/seq.c (revision 53673ba54f5aaba04b9d49ab22cf56c7a7461fe9)
1 /* seq.f -- translated by f2c (version of 25 March 1992  12:58:56). */
2 
3 #include <../src/mat/graphops/color/impls/minpack/color.h>
4 
MINPACKseq(PetscInt * n,const PetscInt * indrow,const PetscInt * jpntr,const PetscInt * indcol,const PetscInt * ipntr,PetscInt * list,PetscInt * ngrp,PetscInt * maxgrp,PetscInt * iwa)5 PetscErrorCode MINPACKseq(PetscInt *n, const PetscInt *indrow, const PetscInt *jpntr, const PetscInt *indcol, const PetscInt *ipntr, PetscInt *list, PetscInt *ngrp, PetscInt *maxgrp, PetscInt *iwa)
6 {
7   /* System generated locals */
8   PetscInt i__1, i__2, i__3;
9 
10   /* Local variables */
11   PetscInt jcol, j, ic, ip, jp, ir;
12 
13   /*     Given the sparsity pattern of an m by n matrix A, this */
14   /*     subroutine determines a consistent partition of the */
15   /*     columns of A by a sequential algorithm. */
16   /*     A consistent partition is defined in terms of the loopless */
17   /*     graph G with vertices a(j), j = 1,2,...,n where a(j) is the */
18   /*     j-th column of A and with edge (a(i),a(j)) if and only if */
19   /*     columns i and j have a non-zero in the same row position. */
20   /*     A partition of the columns of A into groups is consistent */
21   /*     if the columns in any group are not adjacent in the graph G. */
22   /*     In graph-theory terminology, a consistent partition of the */
23   /*     columns of A corresponds to a coloring of the graph G. */
24   /*     The subroutine examines the columns in the order specified */
25   /*     by the array list, and assigns the current column to the */
26   /*     group with the smallest possible number. */
27   /*     Note that the value of m is not needed by seq and is */
28   /*     therefore not present in the subroutine statement. */
29   /*     The subroutine statement is */
30   /*       subroutine seq(n,indrow,jpntr,indcol,ipntr,list,ngrp,maxgrp, */
31   /*                      iwa) */
32   /*     where */
33   /*       n is a positive integer input variable set to the number */
34   /*         of columns of A. */
35   /*       indrow is an integer input array which contains the row */
36   /*         indices for the non-zeroes in the matrix A. */
37   /*       jpntr is an integer input array of length n + 1 which */
38   /*         specifies the locations of the row indices in indrow. */
39   /*         The row indices for column j are */
40   /*               indrow(k), k = jpntr(j),...,jpntr(j+1)-1. */
41   /*         Note that jpntr(n+1)-1 is then the number of non-zero */
42   /*         elements of the matrix A. */
43   /*       indcol is an integer input array which contains the */
44   /*         column indices for the non-zeroes in the matrix A. */
45   /*       ipntr is an integer input array of length m + 1 which */
46   /*         specifies the locations of the column indices in indcol. */
47   /*         The column indices for row i are */
48   /*               indcol(k), k = ipntr(i),...,ipntr(i+1)-1. */
49   /*         Note that ipntr(m+1)-1 is then the number of non-zero */
50   /*         elements of the matrix A. */
51   /*       list is an integer input array of length n which specifies */
52   /*         the order to be used by the sequential algorithm. */
53   /*         The j-th column in this order is list(j). */
54   /*       ngrp is an integer output array of length n which specifies */
55   /*         the partition of the columns of A. Column jcol belongs */
56   /*         to group ngrp(jcol). */
57   /*       maxgrp is an integer output variable which specifies the */
58   /*         number of groups in the partition of the columns of A. */
59   /*       iwa is an integer work array of length n. */
60   /*     Argonne National Laboratory. MINPACK Project. July 1983. */
61   /*     Thomas F. Coleman, Burton S. Garbow, Jorge J. More' */
62 
63   PetscFunctionBegin;
64   /* Parameter adjustments */
65   --iwa;
66   --ngrp;
67   --list;
68   --ipntr;
69   --indcol;
70   --jpntr;
71   --indrow;
72 
73   /* Function Body */
74   *maxgrp = 0;
75   i__1    = *n;
76   for (jp = 1; jp <= i__1; ++jp) {
77     ngrp[jp] = *n;
78     iwa[jp]  = 0;
79   }
80 
81   /*     Beginning of iteration loop. */
82 
83   i__1 = *n;
84   for (j = 1; j <= i__1; ++j) {
85     jcol = list[j];
86 
87     /*        Find all columns adjacent to column jcol. */
88 
89     /*        Determine all positions (ir,jcol) which correspond */
90     /*        to non-zeroes in the matrix. */
91 
92     i__2 = jpntr[jcol + 1] - 1;
93     for (jp = jpntr[jcol]; jp <= i__2; ++jp) {
94       ir = indrow[jp];
95 
96       /*           For each row ir, determine all positions (ir,ic) */
97       /*           which correspond to non-zeroes in the matrix. */
98 
99       i__3 = ipntr[ir + 1] - 1;
100       for (ip = ipntr[ir]; ip <= i__3; ++ip) {
101         ic = indcol[ip];
102 
103         /*              Array iwa marks the group numbers of the */
104         /*              columns which are adjacent to column jcol. */
105 
106         iwa[ngrp[ic]] = j;
107       }
108     }
109 
110     /*        Assign the smallest un-marked group number to jcol. */
111 
112     i__2 = *maxgrp;
113     for (jp = 1; jp <= i__2; ++jp) {
114       if (iwa[jp] != j) goto L50;
115     }
116     ++(*maxgrp);
117   L50:
118     ngrp[jcol] = jp;
119   }
120 
121   /*        End of iteration loop. */
122   PetscFunctionReturn(PETSC_SUCCESS);
123 }
124