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alpar (Alpar Juttner)
alpar@cs.elte.hu
Fix wrong initialization in Preflow (#414)
0 2 0
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2 files changed with 30 insertions and 6 deletions:
↑ Collapse diff ↑
Ignore white space 192 line context
... ...
@@ -432,209 +432,207 @@
432 432
              reached[u] = true;
433 433
              _level->initAddItem(u);
434 434
              nqueue.push_back(u);
435 435
            }
436 436
          }
437 437
        }
438 438
        queue.swap(nqueue);
439 439
      }
440 440
      _level->initFinish();
441 441

	
442 442
      for (OutArcIt e(_graph, _source); e != INVALID; ++e) {
443 443
        if (_tolerance.positive((*_capacity)[e])) {
444 444
          Node u = _graph.target(e);
445 445
          if ((*_level)[u] == _level->maxLevel()) continue;
446 446
          _flow->set(e, (*_capacity)[e]);
447 447
          (*_excess)[u] += (*_capacity)[e];
448 448
          if (u != _target && !_level->active(u)) {
449 449
            _level->activate(u);
450 450
          }
451 451
        }
452 452
      }
453 453
    }
454 454

	
455 455
    /// \brief Initializes the internal data structures using the
456 456
    /// given flow map.
457 457
    ///
458 458
    /// Initializes the internal data structures and sets the initial
459 459
    /// flow to the given \c flowMap. The \c flowMap should contain a
460 460
    /// flow or at least a preflow, i.e. at each node excluding the
461 461
    /// source node the incoming flow should greater or equal to the
462 462
    /// outgoing flow.
463 463
    /// \return \c false if the given \c flowMap is not a preflow.
464 464
    template <typename FlowMap>
465 465
    bool init(const FlowMap& flowMap) {
466 466
      createStructures();
467 467

	
468 468
      for (ArcIt e(_graph); e != INVALID; ++e) {
469 469
        _flow->set(e, flowMap[e]);
470 470
      }
471 471

	
472 472
      for (NodeIt n(_graph); n != INVALID; ++n) {
473 473
        Value excess = 0;
474 474
        for (InArcIt e(_graph, n); e != INVALID; ++e) {
475 475
          excess += (*_flow)[e];
476 476
        }
477 477
        for (OutArcIt e(_graph, n); e != INVALID; ++e) {
478 478
          excess -= (*_flow)[e];
479 479
        }
480 480
        if (excess < 0 && n != _source) return false;
481 481
        (*_excess)[n] = excess;
482 482
      }
483 483

	
484 484
      typename Digraph::template NodeMap<bool> reached(_graph, false);
485 485

	
486 486
      _level->initStart();
487 487
      _level->initAddItem(_target);
488 488

	
489 489
      std::vector<Node> queue;
490 490
      reached[_source] = true;
491 491

	
492 492
      queue.push_back(_target);
493 493
      reached[_target] = true;
494 494
      while (!queue.empty()) {
495 495
        _level->initNewLevel();
496 496
        std::vector<Node> nqueue;
497 497
        for (int i = 0; i < int(queue.size()); ++i) {
498 498
          Node n = queue[i];
499 499
          for (InArcIt e(_graph, n); e != INVALID; ++e) {
500 500
            Node u = _graph.source(e);
501 501
            if (!reached[u] &&
502 502
                _tolerance.positive((*_capacity)[e] - (*_flow)[e])) {
503 503
              reached[u] = true;
504 504
              _level->initAddItem(u);
505 505
              nqueue.push_back(u);
506 506
            }
507 507
          }
508 508
          for (OutArcIt e(_graph, n); e != INVALID; ++e) {
509 509
            Node v = _graph.target(e);
510 510
            if (!reached[v] && _tolerance.positive((*_flow)[e])) {
511 511
              reached[v] = true;
512 512
              _level->initAddItem(v);
513 513
              nqueue.push_back(v);
514 514
            }
515 515
          }
516 516
        }
517 517
        queue.swap(nqueue);
518 518
      }
519 519
      _level->initFinish();
520 520

	
521 521
      for (OutArcIt e(_graph, _source); e != INVALID; ++e) {
522 522
        Value rem = (*_capacity)[e] - (*_flow)[e];
523 523
        if (_tolerance.positive(rem)) {
524 524
          Node u = _graph.target(e);
525 525
          if ((*_level)[u] == _level->maxLevel()) continue;
526 526
          _flow->set(e, (*_capacity)[e]);
527 527
          (*_excess)[u] += rem;
528
          if (u != _target && !_level->active(u)) {
529
            _level->activate(u);
530
          }
531 528
        }
532 529
      }
533 530
      for (InArcIt e(_graph, _source); e != INVALID; ++e) {
534 531
        Value rem = (*_flow)[e];
535 532
        if (_tolerance.positive(rem)) {
536 533
          Node v = _graph.source(e);
537 534
          if ((*_level)[v] == _level->maxLevel()) continue;
538 535
          _flow->set(e, 0);
539 536
          (*_excess)[v] += rem;
540
          if (v != _target && !_level->active(v)) {
541
            _level->activate(v);
542
          }
543 537
        }
544 538
      }
539
      for (NodeIt n(_graph); n != INVALID; ++n) 
540
        if(n!=_source && n!=_target && _tolerance.positive((*_excess)[n]))
541
          _level->activate(n);
542
          
545 543
      return true;
546 544
    }
547 545

	
548 546
    /// \brief Starts the first phase of the preflow algorithm.
549 547
    ///
550 548
    /// The preflow algorithm consists of two phases, this method runs
551 549
    /// the first phase. After the first phase the maximum flow value
552 550
    /// and a minimum value cut can already be computed, although a
553 551
    /// maximum flow is not yet obtained. So after calling this method
554 552
    /// \ref flowValue() returns the value of a maximum flow and \ref
555 553
    /// minCut() returns a minimum cut.
556 554
    /// \pre One of the \ref init() functions must be called before
557 555
    /// using this function.
558 556
    void startFirstPhase() {
559 557
      _phase = true;
560 558

	
561 559
      while (true) {
562 560
        int num = _node_num;
563 561

	
564 562
        Node n = INVALID;
565 563
        int level = -1;
566 564

	
567 565
        while (num > 0) {
568 566
          n = _level->highestActive();
569 567
          if (n == INVALID) goto first_phase_done;
570 568
          level = _level->highestActiveLevel();
571 569
          --num;
572 570
          
573 571
          Value excess = (*_excess)[n];
574 572
          int new_level = _level->maxLevel();
575 573

	
576 574
          for (OutArcIt e(_graph, n); e != INVALID; ++e) {
577 575
            Value rem = (*_capacity)[e] - (*_flow)[e];
578 576
            if (!_tolerance.positive(rem)) continue;
579 577
            Node v = _graph.target(e);
580 578
            if ((*_level)[v] < level) {
581 579
              if (!_level->active(v) && v != _target) {
582 580
                _level->activate(v);
583 581
              }
584 582
              if (!_tolerance.less(rem, excess)) {
585 583
                _flow->set(e, (*_flow)[e] + excess);
586 584
                (*_excess)[v] += excess;
587 585
                excess = 0;
588 586
                goto no_more_push_1;
589 587
              } else {
590 588
                excess -= rem;
591 589
                (*_excess)[v] += rem;
592 590
                _flow->set(e, (*_capacity)[e]);
593 591
              }
594 592
            } else if (new_level > (*_level)[v]) {
595 593
              new_level = (*_level)[v];
596 594
            }
597 595
          }
598 596

	
599 597
          for (InArcIt e(_graph, n); e != INVALID; ++e) {
600 598
            Value rem = (*_flow)[e];
601 599
            if (!_tolerance.positive(rem)) continue;
602 600
            Node v = _graph.source(e);
603 601
            if ((*_level)[v] < level) {
604 602
              if (!_level->active(v) && v != _target) {
605 603
                _level->activate(v);
606 604
              }
607 605
              if (!_tolerance.less(rem, excess)) {
608 606
                _flow->set(e, (*_flow)[e] - excess);
609 607
                (*_excess)[v] += excess;
610 608
                excess = 0;
611 609
                goto no_more_push_1;
612 610
              } else {
613 611
                excess -= rem;
614 612
                (*_excess)[v] += rem;
615 613
                _flow->set(e, 0);
616 614
              }
617 615
            } else if (new_level > (*_level)[v]) {
618 616
              new_level = (*_level)[v];
619 617
            }
620 618
          }
621 619

	
622 620
        no_more_push_1:
623 621

	
624 622
          (*_excess)[n] = excess;
625 623

	
626 624
          if (excess != 0) {
627 625
            if (new_level + 1 < _level->maxLevel()) {
628 626
              _level->liftHighestActive(new_level + 1);
629 627
            } else {
630 628
              _level->liftHighestActiveToTop();
631 629
            }
632 630
            if (_level->emptyLevel(level)) {
633 631
              _level->liftToTop(level);
634 632
            }
635 633
          } else {
636 634
            _level->deactivate(n);
637 635
          }
638 636
        }
639 637

	
640 638
        num = _node_num * 20;
Ignore white space 192 line context
... ...
@@ -58,188 +58,214 @@
58 58
  "5 8 12    10\n"
59 59
  "6 8 13    8\n"
60 60
  "8 9 14    20\n"
61 61
  "8 1 15    5\n"
62 62
  "9 5 16    5\n"
63 63
  "@attributes\n"
64 64
  "source 1\n"
65 65
  "target 8\n";
66 66

	
67 67
void checkPreflowCompile()
68 68
{
69 69
  typedef int VType;
70 70
  typedef concepts::Digraph Digraph;
71 71

	
72 72
  typedef Digraph::Node Node;
73 73
  typedef Digraph::Arc Arc;
74 74
  typedef concepts::ReadMap<Arc,VType> CapMap;
75 75
  typedef concepts::ReadWriteMap<Arc,VType> FlowMap;
76 76
  typedef concepts::WriteMap<Node,bool> CutMap;
77 77

	
78 78
  typedef Elevator<Digraph, Digraph::Node> Elev;
79 79
  typedef LinkedElevator<Digraph, Digraph::Node> LinkedElev;
80 80

	
81 81
  Digraph g;
82 82
  Node n;
83 83
  Arc e;
84 84
  CapMap cap;
85 85
  FlowMap flow;
86 86
  CutMap cut;
87 87
  VType v;
88 88
  bool b;
89 89

	
90 90
  typedef Preflow<Digraph, CapMap>
91 91
            ::SetFlowMap<FlowMap>
92 92
            ::SetElevator<Elev>
93 93
            ::SetStandardElevator<LinkedElev>
94 94
            ::Create PreflowType;
95 95
  PreflowType preflow_test(g, cap, n, n);
96 96
  const PreflowType& const_preflow_test = preflow_test;
97 97

	
98 98
  preflow_test
99 99
    .capacityMap(cap)
100 100
    .flowMap(flow)
101 101
    .source(n)
102 102
    .target(n);
103 103

	
104 104
  preflow_test.init();
105 105
  preflow_test.init(cap);
106 106
  preflow_test.startFirstPhase();
107 107
  preflow_test.startSecondPhase();
108 108
  preflow_test.run();
109 109
  preflow_test.runMinCut();
110 110

	
111 111
  v = const_preflow_test.flowValue();
112 112
  v = const_preflow_test.flow(e);
113 113
  const FlowMap& fm = const_preflow_test.flowMap();
114 114
  b = const_preflow_test.minCut(n);
115 115
  const_preflow_test.minCutMap(cut);
116 116
  
117 117
  ignore_unused_variable_warning(fm);
118 118
}
119 119

	
120 120
int cutValue (const SmartDigraph& g,
121 121
              const SmartDigraph::NodeMap<bool>& cut,
122 122
              const SmartDigraph::ArcMap<int>& cap) {
123 123

	
124 124
  int c=0;
125 125
  for(SmartDigraph::ArcIt e(g); e!=INVALID; ++e) {
126 126
    if (cut[g.source(e)] && !cut[g.target(e)]) c+=cap[e];
127 127
  }
128 128
  return c;
129 129
}
130 130

	
131 131
bool checkFlow(const SmartDigraph& g,
132 132
               const SmartDigraph::ArcMap<int>& flow,
133 133
               const SmartDigraph::ArcMap<int>& cap,
134 134
               SmartDigraph::Node s, SmartDigraph::Node t) {
135 135

	
136 136
  for (SmartDigraph::ArcIt e(g); e != INVALID; ++e) {
137 137
    if (flow[e] < 0 || flow[e] > cap[e]) return false;
138 138
  }
139 139

	
140 140
  for (SmartDigraph::NodeIt n(g); n != INVALID; ++n) {
141 141
    if (n == s || n == t) continue;
142 142
    int sum = 0;
143 143
    for (SmartDigraph::OutArcIt e(g, n); e != INVALID; ++e) {
144 144
      sum += flow[e];
145 145
    }
146 146
    for (SmartDigraph::InArcIt e(g, n); e != INVALID; ++e) {
147 147
      sum -= flow[e];
148 148
    }
149 149
    if (sum != 0) return false;
150 150
  }
151 151
  return true;
152 152
}
153 153

	
154
void initFlowTest()
155
{
156
  DIGRAPH_TYPEDEFS(SmartDigraph);
157
  
158
  SmartDigraph g;
159
  SmartDigraph::ArcMap<int> cap(g),iflow(g);
160
  Node s=g.addNode(); Node t=g.addNode();
161
  Node n1=g.addNode(); Node n2=g.addNode();
162
  Arc a;
163
  a=g.addArc(s,n1); cap[a]=20; iflow[a]=20;
164
  a=g.addArc(n1,n2); cap[a]=10; iflow[a]=0;
165
  a=g.addArc(n2,t); cap[a]=20; iflow[a]=0;
166

	
167
  Preflow<SmartDigraph> pre(g,cap,s,t);
168
  pre.init(iflow);
169
  pre.startFirstPhase();
170
  check(pre.flowValue() == 10, "The incorrect max flow value.");
171
  check(pre.minCut(s), "Wrong min cut (Node s).");
172
  check(pre.minCut(n1), "Wrong min cut (Node n1).");
173
  check(!pre.minCut(n2), "Wrong min cut (Node n2).");
174
  check(!pre.minCut(t), "Wrong min cut (Node t).");
175
}
176

	
177

	
154 178
int main() {
155 179

	
156 180
  typedef SmartDigraph Digraph;
157 181

	
158 182
  typedef Digraph::Node Node;
159 183
  typedef Digraph::NodeIt NodeIt;
160 184
  typedef Digraph::ArcIt ArcIt;
161 185
  typedef Digraph::ArcMap<int> CapMap;
162 186
  typedef Digraph::ArcMap<int> FlowMap;
163 187
  typedef Digraph::NodeMap<bool> CutMap;
164 188

	
165 189
  typedef Preflow<Digraph, CapMap> PType;
166 190

	
167 191
  Digraph g;
168 192
  Node s, t;
169 193
  CapMap cap(g);
170 194
  std::istringstream input(test_lgf);
171 195
  DigraphReader<Digraph>(g,input).
172 196
    arcMap("capacity", cap).
173 197
    node("source",s).
174 198
    node("target",t).
175 199
    run();
176 200

	
177 201
  PType preflow_test(g, cap, s, t);
178 202
  preflow_test.run();
179 203

	
180 204
  check(checkFlow(g, preflow_test.flowMap(), cap, s, t),
181 205
        "The flow is not feasible.");
182 206

	
183 207
  CutMap min_cut(g);
184 208
  preflow_test.minCutMap(min_cut);
185 209
  int min_cut_value=cutValue(g,min_cut,cap);
186 210

	
187 211
  check(preflow_test.flowValue() == min_cut_value,
188 212
        "The max flow value is not equal to the three min cut values.");
189 213

	
190 214
  FlowMap flow(g);
191 215
  for(ArcIt e(g); e!=INVALID; ++e) flow[e] = preflow_test.flowMap()[e];
192 216

	
193 217
  int flow_value=preflow_test.flowValue();
194 218

	
195 219
  for(ArcIt e(g); e!=INVALID; ++e) cap[e]=2*cap[e];
196 220
  preflow_test.init(flow);
197 221
  preflow_test.startFirstPhase();
198 222

	
199 223
  CutMap min_cut1(g);
200 224
  preflow_test.minCutMap(min_cut1);
201 225
  min_cut_value=cutValue(g,min_cut1,cap);
202 226

	
203 227
  check(preflow_test.flowValue() == min_cut_value &&
204 228
        min_cut_value == 2*flow_value,
205 229
        "The max flow value or the min cut value is wrong.");
206 230

	
207 231
  preflow_test.startSecondPhase();
208 232

	
209 233
  check(checkFlow(g, preflow_test.flowMap(), cap, s, t),
210 234
        "The flow is not feasible.");
211 235

	
212 236
  CutMap min_cut2(g);
213 237
  preflow_test.minCutMap(min_cut2);
214 238
  min_cut_value=cutValue(g,min_cut2,cap);
215 239

	
216 240
  check(preflow_test.flowValue() == min_cut_value &&
217 241
        min_cut_value == 2*flow_value,
218 242
        "The max flow value or the three min cut values were not doubled");
219 243

	
220 244

	
221 245
  preflow_test.flowMap(flow);
222 246

	
223 247
  NodeIt tmp1(g,s);
224 248
  ++tmp1;
225 249
  if ( tmp1 != INVALID ) s=tmp1;
226 250

	
227 251
  NodeIt tmp2(g,t);
228 252
  ++tmp2;
229 253
  if ( tmp2 != INVALID ) t=tmp2;
230 254

	
231 255
  preflow_test.source(s);
232 256
  preflow_test.target(t);
233 257

	
234 258
  preflow_test.run();
235 259

	
236 260
  CutMap min_cut3(g);
237 261
  preflow_test.minCutMap(min_cut3);
238 262
  min_cut_value=cutValue(g,min_cut3,cap);
239 263

	
240 264

	
241 265
  check(preflow_test.flowValue() == min_cut_value,
242 266
        "The max flow value or the three min cut values are incorrect.");
243 267

	
268
  initFlowTest();
269
  
244 270
  return 0;
245 271
}
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