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kpeter (Peter Kovacs)
kpeter@inf.elte.hu
Fix and improve refine methods in CostScaling (#417)
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1 file changed with 55 insertions and 34 deletions:
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Ignore white space 4 line context
... ...
@@ -1104,14 +1104,13 @@
1104 1104
      // Paramters for heuristics
1105 1105
      const int EARLY_TERM_EPSILON_LIMIT = 1000;
1106
      const double GLOBAL_UPDATE_FACTOR = 3.0;
1107

	
1108
      const int global_update_freq = int(GLOBAL_UPDATE_FACTOR *
1106
      const double GLOBAL_UPDATE_FACTOR = 1.0;
1107
      const int global_update_skip = static_cast<int>(GLOBAL_UPDATE_FACTOR *
1109 1108
        (_res_node_num + _sup_node_num * _sup_node_num));
1110
      int next_update_limit = global_update_freq;
1111

	
1112
      int relabel_cnt = 0;
1109
      int next_global_update_limit = global_update_skip;
1113 1110

	
1114 1111
      // Perform cost scaling phases
1115
      std::vector<int> path;
1112
      IntVector path;
1113
      BoolVector path_arc(_res_arc_num, false);
1114
      int relabel_cnt = 0;
1116 1115
      for ( ; _epsilon >= 1; _epsilon = _epsilon < _alpha && _epsilon > 1 ?
1117 1116
                                        1 : _epsilon / _alpha )
... ...
@@ -1136,30 +1135,43 @@
1136 1135

	
1137 1136
          // Find an augmenting path from the start node
1138
          path.clear();
1139 1137
          int tip = start;
1140
          while (_excess[tip] >= 0 && int(path.size()) < max_length) {
1138
          while (int(path.size()) < max_length && _excess[tip] >= 0) {
1141 1139
            int u;
1142
            LargeCost min_red_cost, rc, pi_tip = _pi[tip];
1140
            LargeCost rc, min_red_cost = std::numeric_limits<LargeCost>::max();
1141
            LargeCost pi_tip = _pi[tip];
1143 1142
            int last_out = _first_out[tip+1];
1144 1143
            for (int a = _next_out[tip]; a != last_out; ++a) {
1145
              u = _target[a];
1146
              if (_res_cap[a] > 0 && _cost[a] + pi_tip - _pi[u] < 0) {
1147
                path.push_back(a);
1148
                _next_out[tip] = a;
1149
                tip = u;
1150
                goto next_step;
1144
              if (_res_cap[a] > 0) {
1145
                u = _target[a];
1146
                rc = _cost[a] + pi_tip - _pi[u];
1147
                if (rc < 0) {
1148
                  path.push_back(a);
1149
                  _next_out[tip] = a;
1150
                  if (path_arc[a]) {
1151
                    goto augment;   // a cycle is found, stop path search
1152
                  }
1153
                  tip = u;
1154
                  path_arc[a] = true;
1155
                  goto next_step;
1156
                }
1157
                else if (rc < min_red_cost) {
1158
                  min_red_cost = rc;
1159
                }
1151 1160
              }
1152 1161
            }
1153 1162

	
1154 1163
            // Relabel tip node
1155
            min_red_cost = std::numeric_limits<LargeCost>::max();
1156 1164
            if (tip != start) {
1157 1165
              int ra = _reverse[path.back()];
1158
              min_red_cost = _cost[ra] + pi_tip - _pi[_target[ra]];
1166
              min_red_cost =
1167
                std::min(min_red_cost, _cost[ra] + pi_tip - _pi[_target[ra]]);
1159 1168
            }
1169
            last_out = _next_out[tip];
1160 1170
            for (int a = _first_out[tip]; a != last_out; ++a) {
1161
              rc = _cost[a] + pi_tip - _pi[_target[a]];
1162
              if (_res_cap[a] > 0 && rc < min_red_cost) {
1163
                min_red_cost = rc;
1171
              if (_res_cap[a] > 0) {
1172
                rc = _cost[a] + pi_tip - _pi[_target[a]];
1173
                if (rc < min_red_cost) {
1174
                  min_red_cost = rc;
1175
                }
1164 1176
              }
1165 1177
            }
... ...
@@ -1170,5 +1182,7 @@
1170 1182
            // Step back
1171 1183
            if (tip != start) {
1172
              tip = _source[path.back()];
1184
              int pa = path.back();
1185
              path_arc[pa] = false;
1186
              tip = _source[pa];
1173 1187
              path.pop_back();
1174 1188
            }
... ...
@@ -1178,4 +1192,5 @@
1178 1192

	
1179 1193
          // Augment along the found path (as much flow as possible)
1194
        augment:
1180 1195
          Value delta;
1181 1196
          int pa, u, v = start;
... ...
@@ -1184,4 +1199,5 @@
1184 1199
            u = v;
1185 1200
            v = _target[pa];
1201
            path_arc[pa] = false;
1186 1202
            delta = std::min(_res_cap[pa], _excess[u]);
1187 1203
            _res_cap[pa] -= delta;
... ...
@@ -1189,15 +1205,19 @@
1189 1205
            _excess[u] -= delta;
1190 1206
            _excess[v] += delta;
1191
            if (_excess[v] > 0 && _excess[v] <= delta)
1207
            if (_excess[v] > 0 && _excess[v] <= delta) {
1192 1208
              _active_nodes.push_back(v);
1209
            }
1193 1210
          }
1211
          path.clear();
1194 1212

	
1195 1213
          // Global update heuristic
1196
          if (relabel_cnt >= next_update_limit) {
1214
          if (relabel_cnt >= next_global_update_limit) {
1197 1215
            globalUpdate();
1198
            next_update_limit += global_update_freq;
1216
            next_global_update_limit += global_update_skip;
1199 1217
          }
1200 1218
        }
1219

	
1201 1220
      }
1221

	
1202 1222
    }
1203 1223

	
... ...
@@ -1208,13 +1228,12 @@
1208 1228
      const double GLOBAL_UPDATE_FACTOR = 2.0;
1209 1229

	
1210
      const int global_update_freq = int(GLOBAL_UPDATE_FACTOR *
1230
      const int global_update_skip = static_cast<int>(GLOBAL_UPDATE_FACTOR *
1211 1231
        (_res_node_num + _sup_node_num * _sup_node_num));
1212
      int next_update_limit = global_update_freq;
1213

	
1214
      int relabel_cnt = 0;
1232
      int next_global_update_limit = global_update_skip;
1215 1233

	
1216 1234
      // Perform cost scaling phases
1217 1235
      BoolVector hyper(_res_node_num, false);
1218 1236
      LargeCostVector hyper_cost(_res_node_num);
1237
      int relabel_cnt = 0;
1219 1238
      for ( ; _epsilon >= 1; _epsilon = _epsilon < _alpha && _epsilon > 1 ?
1220 1239
                                        1 : _epsilon / _alpha )
... ...
@@ -1294,7 +1313,9 @@
1294 1313
               std::numeric_limits<LargeCost>::max();
1295 1314
            for (int a = _first_out[n]; a != last_out; ++a) {
1296
              rc = _cost[a] + pi_n - _pi[_target[a]];
1297
              if (_res_cap[a] > 0 && rc < min_red_cost) {
1298
                min_red_cost = rc;
1315
              if (_res_cap[a] > 0) {
1316
                rc = _cost[a] + pi_n - _pi[_target[a]];
1317
                if (rc < min_red_cost) {
1318
                  min_red_cost = rc;
1319
                }
1299 1320
              }
1300 1321
            }
... ...
@@ -1314,9 +1335,9 @@
1314 1335

	
1315 1336
          // Global update heuristic
1316
          if (relabel_cnt >= next_update_limit) {
1337
          if (relabel_cnt >= next_global_update_limit) {
1317 1338
            globalUpdate();
1318 1339
            for (int u = 0; u != _res_node_num; ++u)
1319 1340
              hyper[u] = false;
1320
            next_update_limit += global_update_freq;
1341
            next_global_update_limit += global_update_skip;
1321 1342
          }
1322 1343
        }
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