2 * Based on: Jonker, R., & Volgenant, A. (1987). <i>A shortest augmenting path
3 * algorithm for dense and sparse linear assignment problems</i>. Computing,
7 #include "linear-assignment.h"
9 #define COST(column, row) cost[(column) + column_count * (row)]
12 * The parameter `cost` is the cost matrix: the cost to assign column j to row
13 * i is `cost[j + column_count * i].
15 void compute_assignment(int column_count
, int row_count
, int *cost
,
16 int *column2row
, int *row2column
)
19 int *free_row
, free_count
= 0, saved_free_count
, *pred
, *col
;
22 memset(column2row
, -1, sizeof(int) * column_count
);
23 memset(row2column
, -1, sizeof(int) * row_count
);
24 ALLOC_ARRAY(v
, column_count
);
26 /* column reduction */
27 for (j
= column_count
- 1; j
>= 0; j
--) {
30 for (i
= 1; i
< row_count
; i
++)
31 if (COST(j
, i1
) > COST(j
, i
))
34 if (row2column
[i1
] == -1) {
35 /* row i1 unassigned */
39 if (row2column
[i1
] >= 0)
40 row2column
[i1
] = -2 - row2column
[i1
];
45 /* reduction transfer */
46 ALLOC_ARRAY(free_row
, row_count
);
47 for (i
= 0; i
< row_count
; i
++) {
48 int j1
= row2column
[i
];
50 free_row
[free_count
++] = i
;
52 row2column
[i
] = -2 - j1
;
54 int min
= COST(!j1
, i
) - v
[!j1
];
55 for (j
= 1; j
< column_count
; j
++)
56 if (j
!= j1
&& min
> COST(j
, i
) - v
[j
])
57 min
= COST(j
, i
) - v
[j
];
63 (column_count
< row_count
? row_count
- column_count
: 0)) {
69 /* augmenting row reduction */
70 for (phase
= 0; phase
< 2; phase
++) {
73 saved_free_count
= free_count
;
75 while (k
< saved_free_count
) {
80 u1
= COST(j1
, i
) - v
[j1
];
83 for (j
= 1; j
< column_count
; j
++) {
84 int c
= COST(j
, i
) - v
[j
];
114 free_row
[free_count
++] = i0
;
122 saved_free_count
= free_count
;
123 ALLOC_ARRAY(d
, column_count
);
124 ALLOC_ARRAY(pred
, column_count
);
125 ALLOC_ARRAY(col
, column_count
);
126 for (free_count
= 0; free_count
< saved_free_count
; free_count
++) {
127 int i1
= free_row
[free_count
], low
= 0, up
= 0, last
, k
;
130 for (j
= 0; j
< column_count
; j
++) {
131 d
[j
] = COST(j
, i1
) - v
[j
];
140 for (k
= up
; k
< column_count
; k
++) {
152 for (k
= low
; k
< up
; k
++)
153 if (column2row
[col
[k
]] == -1)
161 u1
= COST(j1
, i
) - v
[j1
] - min
;
162 for (k
= up
; k
< column_count
; k
++) {
164 c
= COST(j
, i
) - v
[j
] - u1
;
169 if (column2row
[j
] == -1)
180 /* updating of the column pieces */
181 for (k
= 0; k
< last
; k
++) {
183 v
[j1
] += d
[j1
] - min
;
189 BUG("negative j: %d", j
);
192 SWAP(j
, row2column
[i
]);