Johannes Schindelin | 22d8733 | 2018-08-13 04:33:00 -0700 | [diff] [blame] | 1 | /* |
| 2 | * Based on: Jonker, R., & Volgenant, A. (1987). <i>A shortest augmenting path |
| 3 | * algorithm for dense and sparse linear assignment problems</i>. Computing, |
| 4 | * 38(4), 325-340. |
| 5 | */ |
Elijah Newren | 15db4e7 | 2023-02-24 00:09:23 +0000 | [diff] [blame] | 6 | #include "git-compat-util.h" |
Johannes Schindelin | 22d8733 | 2018-08-13 04:33:00 -0700 | [diff] [blame] | 7 | #include "linear-assignment.h" |
| 8 | |
| 9 | #define COST(column, row) cost[(column) + column_count * (row)] |
| 10 | |
| 11 | /* |
| 12 | * The parameter `cost` is the cost matrix: the cost to assign column j to row |
| 13 | * i is `cost[j + column_count * i]. |
| 14 | */ |
| 15 | void compute_assignment(int column_count, int row_count, int *cost, |
| 16 | int *column2row, int *row2column) |
| 17 | { |
| 18 | int *v, *d; |
| 19 | int *free_row, free_count = 0, saved_free_count, *pred, *col; |
| 20 | int i, j, phase; |
| 21 | |
Thomas Gummerer | e467a90 | 2018-09-13 23:38:34 +0100 | [diff] [blame] | 22 | if (column_count < 2) { |
| 23 | memset(column2row, 0, sizeof(int) * column_count); |
| 24 | memset(row2column, 0, sizeof(int) * row_count); |
| 25 | return; |
| 26 | } |
| 27 | |
Johannes Schindelin | 22d8733 | 2018-08-13 04:33:00 -0700 | [diff] [blame] | 28 | memset(column2row, -1, sizeof(int) * column_count); |
| 29 | memset(row2column, -1, sizeof(int) * row_count); |
| 30 | ALLOC_ARRAY(v, column_count); |
| 31 | |
| 32 | /* column reduction */ |
| 33 | for (j = column_count - 1; j >= 0; j--) { |
| 34 | int i1 = 0; |
| 35 | |
| 36 | for (i = 1; i < row_count; i++) |
| 37 | if (COST(j, i1) > COST(j, i)) |
| 38 | i1 = i; |
| 39 | v[j] = COST(j, i1); |
| 40 | if (row2column[i1] == -1) { |
| 41 | /* row i1 unassigned */ |
| 42 | row2column[i1] = j; |
| 43 | column2row[j] = i1; |
| 44 | } else { |
| 45 | if (row2column[i1] >= 0) |
| 46 | row2column[i1] = -2 - row2column[i1]; |
| 47 | column2row[j] = -1; |
| 48 | } |
| 49 | } |
| 50 | |
| 51 | /* reduction transfer */ |
| 52 | ALLOC_ARRAY(free_row, row_count); |
| 53 | for (i = 0; i < row_count; i++) { |
| 54 | int j1 = row2column[i]; |
| 55 | if (j1 == -1) |
| 56 | free_row[free_count++] = i; |
| 57 | else if (j1 < -1) |
| 58 | row2column[i] = -2 - j1; |
| 59 | else { |
| 60 | int min = COST(!j1, i) - v[!j1]; |
| 61 | for (j = 1; j < column_count; j++) |
| 62 | if (j != j1 && min > COST(j, i) - v[j]) |
| 63 | min = COST(j, i) - v[j]; |
| 64 | v[j1] -= min; |
| 65 | } |
| 66 | } |
| 67 | |
| 68 | if (free_count == |
| 69 | (column_count < row_count ? row_count - column_count : 0)) { |
| 70 | free(v); |
| 71 | free(free_row); |
| 72 | return; |
| 73 | } |
| 74 | |
| 75 | /* augmenting row reduction */ |
| 76 | for (phase = 0; phase < 2; phase++) { |
| 77 | int k = 0; |
| 78 | |
| 79 | saved_free_count = free_count; |
| 80 | free_count = 0; |
| 81 | while (k < saved_free_count) { |
| 82 | int u1, u2; |
| 83 | int j1 = 0, j2, i0; |
| 84 | |
| 85 | i = free_row[k++]; |
| 86 | u1 = COST(j1, i) - v[j1]; |
| 87 | j2 = -1; |
| 88 | u2 = INT_MAX; |
| 89 | for (j = 1; j < column_count; j++) { |
| 90 | int c = COST(j, i) - v[j]; |
| 91 | if (u2 > c) { |
| 92 | if (u1 < c) { |
| 93 | u2 = c; |
| 94 | j2 = j; |
| 95 | } else { |
| 96 | u2 = u1; |
| 97 | u1 = c; |
| 98 | j2 = j1; |
| 99 | j1 = j; |
| 100 | } |
| 101 | } |
| 102 | } |
| 103 | if (j2 < 0) { |
| 104 | j2 = j1; |
| 105 | u2 = u1; |
| 106 | } |
| 107 | |
| 108 | i0 = column2row[j1]; |
| 109 | if (u1 < u2) |
| 110 | v[j1] -= u2 - u1; |
| 111 | else if (i0 >= 0) { |
| 112 | j1 = j2; |
| 113 | i0 = column2row[j1]; |
| 114 | } |
| 115 | |
| 116 | if (i0 >= 0) { |
| 117 | if (u1 < u2) |
| 118 | free_row[--k] = i0; |
| 119 | else |
| 120 | free_row[free_count++] = i0; |
| 121 | } |
| 122 | row2column[i] = j1; |
| 123 | column2row[j1] = i; |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | /* augmentation */ |
| 128 | saved_free_count = free_count; |
| 129 | ALLOC_ARRAY(d, column_count); |
| 130 | ALLOC_ARRAY(pred, column_count); |
| 131 | ALLOC_ARRAY(col, column_count); |
| 132 | for (free_count = 0; free_count < saved_free_count; free_count++) { |
| 133 | int i1 = free_row[free_count], low = 0, up = 0, last, k; |
| 134 | int min, c, u1; |
| 135 | |
| 136 | for (j = 0; j < column_count; j++) { |
| 137 | d[j] = COST(j, i1) - v[j]; |
| 138 | pred[j] = i1; |
| 139 | col[j] = j; |
| 140 | } |
| 141 | |
| 142 | j = -1; |
| 143 | do { |
| 144 | last = low; |
| 145 | min = d[col[up++]]; |
| 146 | for (k = up; k < column_count; k++) { |
| 147 | j = col[k]; |
| 148 | c = d[j]; |
| 149 | if (c <= min) { |
| 150 | if (c < min) { |
| 151 | up = low; |
| 152 | min = c; |
| 153 | } |
| 154 | col[k] = col[up]; |
| 155 | col[up++] = j; |
| 156 | } |
| 157 | } |
| 158 | for (k = low; k < up; k++) |
| 159 | if (column2row[col[k]] == -1) |
| 160 | goto update; |
| 161 | |
| 162 | /* scan a row */ |
| 163 | do { |
| 164 | int j1 = col[low++]; |
| 165 | |
| 166 | i = column2row[j1]; |
| 167 | u1 = COST(j1, i) - v[j1] - min; |
| 168 | for (k = up; k < column_count; k++) { |
| 169 | j = col[k]; |
| 170 | c = COST(j, i) - v[j] - u1; |
| 171 | if (c < d[j]) { |
| 172 | d[j] = c; |
| 173 | pred[j] = i; |
| 174 | if (c == min) { |
| 175 | if (column2row[j] == -1) |
| 176 | goto update; |
| 177 | col[k] = col[up]; |
| 178 | col[up++] = j; |
| 179 | } |
| 180 | } |
| 181 | } |
| 182 | } while (low != up); |
| 183 | } while (low == up); |
| 184 | |
| 185 | update: |
| 186 | /* updating of the column pieces */ |
| 187 | for (k = 0; k < last; k++) { |
| 188 | int j1 = col[k]; |
| 189 | v[j1] += d[j1] - min; |
| 190 | } |
| 191 | |
| 192 | /* augmentation */ |
| 193 | do { |
| 194 | if (j < 0) |
| 195 | BUG("negative j: %d", j); |
| 196 | i = pred[j]; |
| 197 | column2row[j] = i; |
| 198 | SWAP(j, row2column[i]); |
| 199 | } while (i1 != i); |
| 200 | } |
| 201 | |
| 202 | free(col); |
| 203 | free(pred); |
| 204 | free(d); |
| 205 | free(v); |
| 206 | free(free_row); |
| 207 | } |