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... | ... |
@@ -482,145 +482,143 @@ |
482 | 482 |
template <typename FlowMap> |
483 | 483 |
bool init(const FlowMap& flowMap) { |
484 | 484 |
createStructures(); |
485 | 485 |
|
486 | 486 |
for (ArcIt e(_graph); e != INVALID; ++e) { |
487 | 487 |
_flow->set(e, flowMap[e]); |
488 | 488 |
} |
489 | 489 |
|
490 | 490 |
for (NodeIt n(_graph); n != INVALID; ++n) { |
491 | 491 |
Value excess = 0; |
492 | 492 |
for (InArcIt e(_graph, n); e != INVALID; ++e) { |
493 | 493 |
excess += (*_flow)[e]; |
494 | 494 |
} |
495 | 495 |
for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
496 | 496 |
excess -= (*_flow)[e]; |
497 | 497 |
} |
498 | 498 |
if (excess < 0 && n != _source) return false; |
499 | 499 |
(*_excess)[n] = excess; |
500 | 500 |
} |
501 | 501 |
|
502 | 502 |
typename Digraph::template NodeMap<bool> reached(_graph, false); |
503 | 503 |
|
504 | 504 |
_level->initStart(); |
505 | 505 |
_level->initAddItem(_target); |
506 | 506 |
|
507 | 507 |
std::vector<Node> queue; |
508 | 508 |
reached[_source] = true; |
509 | 509 |
|
510 | 510 |
queue.push_back(_target); |
511 | 511 |
reached[_target] = true; |
512 | 512 |
while (!queue.empty()) { |
513 | 513 |
_level->initNewLevel(); |
514 | 514 |
std::vector<Node> nqueue; |
515 | 515 |
for (int i = 0; i < int(queue.size()); ++i) { |
516 | 516 |
Node n = queue[i]; |
517 | 517 |
for (InArcIt e(_graph, n); e != INVALID; ++e) { |
518 | 518 |
Node u = _graph.source(e); |
519 | 519 |
if (!reached[u] && |
520 | 520 |
_tolerance.positive((*_capacity)[e] - (*_flow)[e])) { |
521 | 521 |
reached[u] = true; |
522 | 522 |
_level->initAddItem(u); |
523 | 523 |
nqueue.push_back(u); |
524 | 524 |
} |
525 | 525 |
} |
526 | 526 |
for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
527 | 527 |
Node v = _graph.target(e); |
528 | 528 |
if (!reached[v] && _tolerance.positive((*_flow)[e])) { |
529 | 529 |
reached[v] = true; |
530 | 530 |
_level->initAddItem(v); |
531 | 531 |
nqueue.push_back(v); |
532 | 532 |
} |
533 | 533 |
} |
534 | 534 |
} |
535 | 535 |
queue.swap(nqueue); |
536 | 536 |
} |
537 | 537 |
_level->initFinish(); |
538 | 538 |
|
539 | 539 |
for (OutArcIt e(_graph, _source); e != INVALID; ++e) { |
540 | 540 |
Value rem = (*_capacity)[e] - (*_flow)[e]; |
541 | 541 |
if (_tolerance.positive(rem)) { |
542 | 542 |
Node u = _graph.target(e); |
543 | 543 |
if ((*_level)[u] == _level->maxLevel()) continue; |
544 | 544 |
_flow->set(e, (*_capacity)[e]); |
545 | 545 |
(*_excess)[u] += rem; |
546 |
if (u != _target && !_level->active(u)) { |
|
547 |
_level->activate(u); |
|
548 |
} |
|
549 | 546 |
} |
550 | 547 |
} |
551 | 548 |
for (InArcIt e(_graph, _source); e != INVALID; ++e) { |
552 | 549 |
Value rem = (*_flow)[e]; |
553 | 550 |
if (_tolerance.positive(rem)) { |
554 | 551 |
Node v = _graph.source(e); |
555 | 552 |
if ((*_level)[v] == _level->maxLevel()) continue; |
556 | 553 |
_flow->set(e, 0); |
557 | 554 |
(*_excess)[v] += rem; |
558 |
if (v != _target && !_level->active(v)) { |
|
559 |
_level->activate(v); |
|
560 | 555 |
} |
561 | 556 |
} |
562 |
|
|
557 |
for (NodeIt n(_graph); n != INVALID; ++n) |
|
558 |
if(n!=_source && n!=_target && _tolerance.positive((*_excess)[n])) |
|
559 |
_level->activate(n); |
|
560 |
|
|
563 | 561 |
return true; |
564 | 562 |
} |
565 | 563 |
|
566 | 564 |
/// \brief Starts the first phase of the preflow algorithm. |
567 | 565 |
/// |
568 | 566 |
/// The preflow algorithm consists of two phases, this method runs |
569 | 567 |
/// the first phase. After the first phase the maximum flow value |
570 | 568 |
/// and a minimum value cut can already be computed, although a |
571 | 569 |
/// maximum flow is not yet obtained. So after calling this method |
572 | 570 |
/// \ref flowValue() returns the value of a maximum flow and \ref |
573 | 571 |
/// minCut() returns a minimum cut. |
574 | 572 |
/// \pre One of the \ref init() functions must be called before |
575 | 573 |
/// using this function. |
576 | 574 |
void startFirstPhase() { |
577 | 575 |
_phase = true; |
578 | 576 |
|
579 | 577 |
while (true) { |
580 | 578 |
int num = _node_num; |
581 | 579 |
|
582 | 580 |
Node n = INVALID; |
583 | 581 |
int level = -1; |
584 | 582 |
|
585 | 583 |
while (num > 0) { |
586 | 584 |
n = _level->highestActive(); |
587 | 585 |
if (n == INVALID) goto first_phase_done; |
588 | 586 |
level = _level->highestActiveLevel(); |
589 | 587 |
--num; |
590 | 588 |
|
591 | 589 |
Value excess = (*_excess)[n]; |
592 | 590 |
int new_level = _level->maxLevel(); |
593 | 591 |
|
594 | 592 |
for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
595 | 593 |
Value rem = (*_capacity)[e] - (*_flow)[e]; |
596 | 594 |
if (!_tolerance.positive(rem)) continue; |
597 | 595 |
Node v = _graph.target(e); |
598 | 596 |
if ((*_level)[v] < level) { |
599 | 597 |
if (!_level->active(v) && v != _target) { |
600 | 598 |
_level->activate(v); |
601 | 599 |
} |
602 | 600 |
if (!_tolerance.less(rem, excess)) { |
603 | 601 |
_flow->set(e, (*_flow)[e] + excess); |
604 | 602 |
(*_excess)[v] += excess; |
605 | 603 |
excess = 0; |
606 | 604 |
goto no_more_push_1; |
607 | 605 |
} else { |
608 | 606 |
excess -= rem; |
609 | 607 |
(*_excess)[v] += rem; |
610 | 608 |
_flow->set(e, (*_capacity)[e]); |
611 | 609 |
} |
612 | 610 |
} else if (new_level > (*_level)[v]) { |
613 | 611 |
new_level = (*_level)[v]; |
614 | 612 |
} |
615 | 613 |
} |
616 | 614 |
|
617 | 615 |
for (InArcIt e(_graph, n); e != INVALID; ++e) { |
618 | 616 |
Value rem = (*_flow)[e]; |
619 | 617 |
if (!_tolerance.positive(rem)) continue; |
620 | 618 |
Node v = _graph.source(e); |
621 | 619 |
if ((*_level)[v] < level) { |
622 | 620 |
if (!_level->active(v) && v != _target) { |
623 | 621 |
_level->activate(v); |
624 | 622 |
} |
625 | 623 |
if (!_tolerance.less(rem, excess)) { |
626 | 624 |
_flow->set(e, (*_flow)[e] - excess); |
... | ... |
@@ -95,156 +95,182 @@ |
95 | 95 |
PreflowType preflow_test(g, cap, n, n); |
96 | 96 |
const PreflowType& const_preflow_test = preflow_test; |
97 | 97 |
|
98 | 98 |
const PreflowType::Elevator& elev = const_preflow_test.elevator(); |
99 | 99 |
preflow_test.elevator(const_cast<PreflowType::Elevator&>(elev)); |
100 | 100 |
PreflowType::Tolerance tol = const_preflow_test.tolerance(); |
101 | 101 |
preflow_test.tolerance(tol); |
102 | 102 |
|
103 | 103 |
preflow_test |
104 | 104 |
.capacityMap(cap) |
105 | 105 |
.flowMap(flow) |
106 | 106 |
.source(n) |
107 | 107 |
.target(n); |
108 | 108 |
|
109 | 109 |
preflow_test.init(); |
110 | 110 |
preflow_test.init(cap); |
111 | 111 |
preflow_test.startFirstPhase(); |
112 | 112 |
preflow_test.startSecondPhase(); |
113 | 113 |
preflow_test.run(); |
114 | 114 |
preflow_test.runMinCut(); |
115 | 115 |
|
116 | 116 |
v = const_preflow_test.flowValue(); |
117 | 117 |
v = const_preflow_test.flow(e); |
118 | 118 |
const FlowMap& fm = const_preflow_test.flowMap(); |
119 | 119 |
b = const_preflow_test.minCut(n); |
120 | 120 |
const_preflow_test.minCutMap(cut); |
121 | 121 |
|
122 | 122 |
ignore_unused_variable_warning(fm); |
123 | 123 |
} |
124 | 124 |
|
125 | 125 |
int cutValue (const SmartDigraph& g, |
126 | 126 |
const SmartDigraph::NodeMap<bool>& cut, |
127 | 127 |
const SmartDigraph::ArcMap<int>& cap) { |
128 | 128 |
|
129 | 129 |
int c=0; |
130 | 130 |
for(SmartDigraph::ArcIt e(g); e!=INVALID; ++e) { |
131 | 131 |
if (cut[g.source(e)] && !cut[g.target(e)]) c+=cap[e]; |
132 | 132 |
} |
133 | 133 |
return c; |
134 | 134 |
} |
135 | 135 |
|
136 | 136 |
bool checkFlow(const SmartDigraph& g, |
137 | 137 |
const SmartDigraph::ArcMap<int>& flow, |
138 | 138 |
const SmartDigraph::ArcMap<int>& cap, |
139 | 139 |
SmartDigraph::Node s, SmartDigraph::Node t) { |
140 | 140 |
|
141 | 141 |
for (SmartDigraph::ArcIt e(g); e != INVALID; ++e) { |
142 | 142 |
if (flow[e] < 0 || flow[e] > cap[e]) return false; |
143 | 143 |
} |
144 | 144 |
|
145 | 145 |
for (SmartDigraph::NodeIt n(g); n != INVALID; ++n) { |
146 | 146 |
if (n == s || n == t) continue; |
147 | 147 |
int sum = 0; |
148 | 148 |
for (SmartDigraph::OutArcIt e(g, n); e != INVALID; ++e) { |
149 | 149 |
sum += flow[e]; |
150 | 150 |
} |
151 | 151 |
for (SmartDigraph::InArcIt e(g, n); e != INVALID; ++e) { |
152 | 152 |
sum -= flow[e]; |
153 | 153 |
} |
154 | 154 |
if (sum != 0) return false; |
155 | 155 |
} |
156 | 156 |
return true; |
157 | 157 |
} |
158 | 158 |
|
159 |
void initFlowTest() |
|
160 |
{ |
|
161 |
DIGRAPH_TYPEDEFS(SmartDigraph); |
|
162 |
|
|
163 |
SmartDigraph g; |
|
164 |
SmartDigraph::ArcMap<int> cap(g),iflow(g); |
|
165 |
Node s=g.addNode(); Node t=g.addNode(); |
|
166 |
Node n1=g.addNode(); Node n2=g.addNode(); |
|
167 |
Arc a; |
|
168 |
a=g.addArc(s,n1); cap[a]=20; iflow[a]=20; |
|
169 |
a=g.addArc(n1,n2); cap[a]=10; iflow[a]=0; |
|
170 |
a=g.addArc(n2,t); cap[a]=20; iflow[a]=0; |
|
171 |
|
|
172 |
Preflow<SmartDigraph> pre(g,cap,s,t); |
|
173 |
pre.init(iflow); |
|
174 |
pre.startFirstPhase(); |
|
175 |
check(pre.flowValue() == 10, "The incorrect max flow value."); |
|
176 |
check(pre.minCut(s), "Wrong min cut (Node s)."); |
|
177 |
check(pre.minCut(n1), "Wrong min cut (Node n1)."); |
|
178 |
check(!pre.minCut(n2), "Wrong min cut (Node n2)."); |
|
179 |
check(!pre.minCut(t), "Wrong min cut (Node t)."); |
|
180 |
} |
|
181 |
|
|
182 |
|
|
159 | 183 |
int main() { |
160 | 184 |
|
161 | 185 |
typedef SmartDigraph Digraph; |
162 | 186 |
|
163 | 187 |
typedef Digraph::Node Node; |
164 | 188 |
typedef Digraph::NodeIt NodeIt; |
165 | 189 |
typedef Digraph::ArcIt ArcIt; |
166 | 190 |
typedef Digraph::ArcMap<int> CapMap; |
167 | 191 |
typedef Digraph::ArcMap<int> FlowMap; |
168 | 192 |
typedef Digraph::NodeMap<bool> CutMap; |
169 | 193 |
|
170 | 194 |
typedef Preflow<Digraph, CapMap> PType; |
171 | 195 |
|
172 | 196 |
Digraph g; |
173 | 197 |
Node s, t; |
174 | 198 |
CapMap cap(g); |
175 | 199 |
std::istringstream input(test_lgf); |
176 | 200 |
DigraphReader<Digraph>(g,input). |
177 | 201 |
arcMap("capacity", cap). |
178 | 202 |
node("source",s). |
179 | 203 |
node("target",t). |
180 | 204 |
run(); |
181 | 205 |
|
182 | 206 |
PType preflow_test(g, cap, s, t); |
183 | 207 |
preflow_test.run(); |
184 | 208 |
|
185 | 209 |
check(checkFlow(g, preflow_test.flowMap(), cap, s, t), |
186 | 210 |
"The flow is not feasible."); |
187 | 211 |
|
188 | 212 |
CutMap min_cut(g); |
189 | 213 |
preflow_test.minCutMap(min_cut); |
190 | 214 |
int min_cut_value=cutValue(g,min_cut,cap); |
191 | 215 |
|
192 | 216 |
check(preflow_test.flowValue() == min_cut_value, |
193 | 217 |
"The max flow value is not equal to the three min cut values."); |
194 | 218 |
|
195 | 219 |
FlowMap flow(g); |
196 | 220 |
for(ArcIt e(g); e!=INVALID; ++e) flow[e] = preflow_test.flowMap()[e]; |
197 | 221 |
|
198 | 222 |
int flow_value=preflow_test.flowValue(); |
199 | 223 |
|
200 | 224 |
for(ArcIt e(g); e!=INVALID; ++e) cap[e]=2*cap[e]; |
201 | 225 |
preflow_test.init(flow); |
202 | 226 |
preflow_test.startFirstPhase(); |
203 | 227 |
|
204 | 228 |
CutMap min_cut1(g); |
205 | 229 |
preflow_test.minCutMap(min_cut1); |
206 | 230 |
min_cut_value=cutValue(g,min_cut1,cap); |
207 | 231 |
|
208 | 232 |
check(preflow_test.flowValue() == min_cut_value && |
209 | 233 |
min_cut_value == 2*flow_value, |
210 | 234 |
"The max flow value or the min cut value is wrong."); |
211 | 235 |
|
212 | 236 |
preflow_test.startSecondPhase(); |
213 | 237 |
|
214 | 238 |
check(checkFlow(g, preflow_test.flowMap(), cap, s, t), |
215 | 239 |
"The flow is not feasible."); |
216 | 240 |
|
217 | 241 |
CutMap min_cut2(g); |
218 | 242 |
preflow_test.minCutMap(min_cut2); |
219 | 243 |
min_cut_value=cutValue(g,min_cut2,cap); |
220 | 244 |
|
221 | 245 |
check(preflow_test.flowValue() == min_cut_value && |
222 | 246 |
min_cut_value == 2*flow_value, |
223 | 247 |
"The max flow value or the three min cut values were not doubled"); |
224 | 248 |
|
225 | 249 |
|
226 | 250 |
preflow_test.flowMap(flow); |
227 | 251 |
|
228 | 252 |
NodeIt tmp1(g,s); |
229 | 253 |
++tmp1; |
230 | 254 |
if ( tmp1 != INVALID ) s=tmp1; |
231 | 255 |
|
232 | 256 |
NodeIt tmp2(g,t); |
233 | 257 |
++tmp2; |
234 | 258 |
if ( tmp2 != INVALID ) t=tmp2; |
235 | 259 |
|
236 | 260 |
preflow_test.source(s); |
237 | 261 |
preflow_test.target(t); |
238 | 262 |
|
239 | 263 |
preflow_test.run(); |
240 | 264 |
|
241 | 265 |
CutMap min_cut3(g); |
242 | 266 |
preflow_test.minCutMap(min_cut3); |
243 | 267 |
min_cut_value=cutValue(g,min_cut3,cap); |
244 | 268 |
|
245 | 269 |
|
246 | 270 |
check(preflow_test.flowValue() == min_cut_value, |
247 | 271 |
"The max flow value or the three min cut values are incorrect."); |
248 | 272 |
|
273 |
initFlowTest(); |
|
274 |
|
|
249 | 275 |
return 0; |
250 | 276 |
} |
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