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alpar (Alpar Juttner)
alpar@cs.elte.hu
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8 8
 *
9 9
 * Permission to use, modify and distribute this software is granted
10 10
 * provided that this copyright notice appears in all copies. For
11 11
 * precise terms see the accompanying LICENSE file.
12 12
 *
13 13
 * This software is provided "AS IS" with no warranty of any kind,
14 14
 * express or implied, and with no claim as to its suitability for any
15 15
 * purpose.
16 16
 *
17 17
 */
18 18

	
19 19
#ifndef LEMON_SUURBALLE_H
20 20
#define LEMON_SUURBALLE_H
21 21

	
22 22
///\ingroup shortest_path
23 23
///\file
24 24
///\brief An algorithm for finding arc-disjoint paths between two
25 25
/// nodes having minimum total length.
26 26

	
27 27
#include <vector>
28 28
#include <limits>
29 29
#include <lemon/bin_heap.h>
30 30
#include <lemon/path.h>
31 31
#include <lemon/list_graph.h>
32
#include <lemon/dijkstra.h>
32 33
#include <lemon/maps.h>
33 34

	
34 35
namespace lemon {
35 36

	
36 37
  /// \addtogroup shortest_path
37 38
  /// @{
38 39

	
39 40
  /// \brief Algorithm for finding arc-disjoint paths between two nodes
40 41
  /// having minimum total length.
41 42
  ///
42 43
  /// \ref lemon::Suurballe "Suurballe" implements an algorithm for
43 44
  /// finding arc-disjoint paths having minimum total length (cost)
44 45
  /// from a given source node to a given target node in a digraph.
45 46
  ///
46 47
  /// Note that this problem is a special case of the \ref min_cost_flow
47 48
  /// "minimum cost flow problem". This implementation is actually an
48 49
  /// efficient specialized version of the \ref CapacityScaling
49
  /// "Successive Shortest Path" algorithm directly for this problem.
50
  /// "successive shortest path" algorithm directly for this problem.
50 51
  /// Therefore this class provides query functions for flow values and
51 52
  /// node potentials (the dual solution) just like the minimum cost flow
52 53
  /// algorithms.
53 54
  ///
54 55
  /// \tparam GR The digraph type the algorithm runs on.
55 56
  /// \tparam LEN The type of the length map.
56 57
  /// The default value is <tt>GR::ArcMap<int></tt>.
57 58
  ///
58
  /// \warning Length values should be \e non-negative \e integers.
59
  /// \warning Length values should be \e non-negative.
59 60
  ///
60
  /// \note For finding node-disjoint paths this algorithm can be used
61
  /// \note For finding \e node-disjoint paths, this algorithm can be used
61 62
  /// along with the \ref SplitNodes adaptor.
62 63
#ifdef DOXYGEN
63 64
  template <typename GR, typename LEN>
64 65
#else
65 66
  template < typename GR,
66 67
             typename LEN = typename GR::template ArcMap<int> >
67 68
#endif
68 69
  class Suurballe
69 70
  {
70 71
    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
71 72

	
72 73
    typedef ConstMap<Arc, int> ConstArcMap;
73 74
    typedef typename GR::template NodeMap<Arc> PredMap;
74 75

	
75 76
  public:
76 77

	
77 78
    /// The type of the digraph the algorithm runs on.
78 79
    typedef GR Digraph;
79 80
    /// The type of the length map.
80 81
    typedef LEN LengthMap;
81 82
    /// The type of the lengths.
82 83
    typedef typename LengthMap::Value Length;
83 84
#ifdef DOXYGEN
84 85
    /// The type of the flow map.
85 86
    typedef GR::ArcMap<int> FlowMap;
86 87
    /// The type of the potential map.
87 88
    typedef GR::NodeMap<Length> PotentialMap;
88 89
#else
89 90
    /// The type of the flow map.
90 91
    typedef typename Digraph::template ArcMap<int> FlowMap;
91 92
    /// The type of the potential map.
92 93
    typedef typename Digraph::template NodeMap<Length> PotentialMap;
93 94
#endif
94 95

	
95 96
    /// The type of the path structures.
96 97
    typedef SimplePath<GR> Path;
97 98

	
98 99
  private:
99 100

	
101
    typedef typename Digraph::template NodeMap<int> HeapCrossRef;
102
    typedef BinHeap<Length, HeapCrossRef> Heap;
103

	
100 104
    // ResidualDijkstra is a special implementation of the
101 105
    // Dijkstra algorithm for finding shortest paths in the
102 106
    // residual network with respect to the reduced arc lengths
103 107
    // and modifying the node potentials according to the
104 108
    // distance of the nodes.
105 109
    class ResidualDijkstra
106 110
    {
107
      typedef typename Digraph::template NodeMap<int> HeapCrossRef;
108
      typedef BinHeap<Length, HeapCrossRef> Heap;
109

	
110 111
    private:
111 112

	
112
      // The digraph the algorithm runs on
113 113
      const Digraph &_graph;
114

	
115
      // The main maps
114
      const LengthMap &_length;
116 115
      const FlowMap &_flow;
117
      const LengthMap &_length;
118
      PotentialMap &_potential;
119

	
120
      // The distance map
121
      PotentialMap _dist;
122
      // The pred arc map
116
      PotentialMap &_pi;
123 117
      PredMap &_pred;
124
      // The processed (i.e. permanently labeled) nodes
125
      std::vector<Node> _proc_nodes;
126

	
127 118
      Node _s;
128 119
      Node _t;
120
      
121
      PotentialMap _dist;
122
      std::vector<Node> _proc_nodes;
129 123

	
130 124
    public:
131 125

	
132
      /// Constructor.
133
      ResidualDijkstra( const Digraph &graph,
134
                        const FlowMap &flow,
135
                        const LengthMap &length,
136
                        PotentialMap &potential,
137
                        PredMap &pred,
138
                        Node s, Node t ) :
139
        _graph(graph), _flow(flow), _length(length), _potential(potential),
140
        _dist(graph), _pred(pred), _s(s), _t(t) {}
126
      // Constructor
127
      ResidualDijkstra(Suurballe &srb) :
128
        _graph(srb._graph), _length(srb._length),
129
        _flow(*srb._flow), _pi(*srb._potential), _pred(srb._pred), 
130
        _s(srb._s), _t(srb._t), _dist(_graph) {}
131
        
132
      // Run the algorithm and return true if a path is found
133
      // from the source node to the target node.
134
      bool run(int cnt) {
135
        return cnt == 0 ? startFirst() : start();
136
      }
141 137

	
142
      /// \brief Run the algorithm. It returns \c true if a path is found
143
      /// from the source node to the target node.
144
      bool run() {
138
    private:
139
    
140
      // Execute the algorithm for the first time (the flow and potential
141
      // functions have to be identically zero).
142
      bool startFirst() {
145 143
        HeapCrossRef heap_cross_ref(_graph, Heap::PRE_HEAP);
146 144
        Heap heap(heap_cross_ref);
147 145
        heap.push(_s, 0);
148 146
        _pred[_s] = INVALID;
149 147
        _proc_nodes.clear();
150 148

	
151 149
        // Process nodes
152 150
        while (!heap.empty() && heap.top() != _t) {
153 151
          Node u = heap.top(), v;
154
          Length d = heap.prio() + _potential[u], nd;
152
          Length d = heap.prio(), dn;
155 153
          _dist[u] = heap.prio();
154
          _proc_nodes.push_back(u);
156 155
          heap.pop();
156

	
157
          // Traverse outgoing arcs
158
          for (OutArcIt e(_graph, u); e != INVALID; ++e) {
159
            v = _graph.target(e);
160
            switch(heap.state(v)) {
161
              case Heap::PRE_HEAP:
162
                heap.push(v, d + _length[e]);
163
                _pred[v] = e;
164
                break;
165
              case Heap::IN_HEAP:
166
                dn = d + _length[e];
167
                if (dn < heap[v]) {
168
                  heap.decrease(v, dn);
169
                  _pred[v] = e;
170
                }
171
                break;
172
              case Heap::POST_HEAP:
173
                break;
174
            }
175
          }
176
        }
177
        if (heap.empty()) return false;
178

	
179
        // Update potentials of processed nodes
180
        Length t_dist = heap.prio();
181
        for (int i = 0; i < int(_proc_nodes.size()); ++i)
182
          _pi[_proc_nodes[i]] = _dist[_proc_nodes[i]] - t_dist;
183
        return true;
184
      }
185

	
186
      // Execute the algorithm.
187
      bool start() {
188
        HeapCrossRef heap_cross_ref(_graph, Heap::PRE_HEAP);
189
        Heap heap(heap_cross_ref);
190
        heap.push(_s, 0);
191
        _pred[_s] = INVALID;
192
        _proc_nodes.clear();
193

	
194
        // Process nodes
195
        while (!heap.empty() && heap.top() != _t) {
196
          Node u = heap.top(), v;
197
          Length d = heap.prio() + _pi[u], dn;
198
          _dist[u] = heap.prio();
157 199
          _proc_nodes.push_back(u);
200
          heap.pop();
158 201

	
159 202
          // Traverse outgoing arcs
160 203
          for (OutArcIt e(_graph, u); e != INVALID; ++e) {
161 204
            if (_flow[e] == 0) {
162 205
              v = _graph.target(e);
163 206
              switch(heap.state(v)) {
164
              case Heap::PRE_HEAP:
165
                heap.push(v, d + _length[e] - _potential[v]);
166
                _pred[v] = e;
167
                break;
168
              case Heap::IN_HEAP:
169
                nd = d + _length[e] - _potential[v];
170
                if (nd < heap[v]) {
171
                  heap.decrease(v, nd);
207
                case Heap::PRE_HEAP:
208
                  heap.push(v, d + _length[e] - _pi[v]);
172 209
                  _pred[v] = e;
173
                }
174
                break;
175
              case Heap::POST_HEAP:
176
                break;
210
                  break;
211
                case Heap::IN_HEAP:
212
                  dn = d + _length[e] - _pi[v];
213
                  if (dn < heap[v]) {
214
                    heap.decrease(v, dn);
215
                    _pred[v] = e;
216
                  }
217
                  break;
218
                case Heap::POST_HEAP:
219
                  break;
177 220
              }
178 221
            }
179 222
          }
180 223

	
181 224
          // Traverse incoming arcs
182 225
          for (InArcIt e(_graph, u); e != INVALID; ++e) {
183 226
            if (_flow[e] == 1) {
184 227
              v = _graph.source(e);
185 228
              switch(heap.state(v)) {
186
              case Heap::PRE_HEAP:
187
                heap.push(v, d - _length[e] - _potential[v]);
188
                _pred[v] = e;
189
                break;
190
              case Heap::IN_HEAP:
191
                nd = d - _length[e] - _potential[v];
192
                if (nd < heap[v]) {
193
                  heap.decrease(v, nd);
229
                case Heap::PRE_HEAP:
230
                  heap.push(v, d - _length[e] - _pi[v]);
194 231
                  _pred[v] = e;
195
                }
196
                break;
197
              case Heap::POST_HEAP:
198
                break;
232
                  break;
233
                case Heap::IN_HEAP:
234
                  dn = d - _length[e] - _pi[v];
235
                  if (dn < heap[v]) {
236
                    heap.decrease(v, dn);
237
                    _pred[v] = e;
238
                  }
239
                  break;
240
                case Heap::POST_HEAP:
241
                  break;
199 242
              }
200 243
            }
201 244
          }
202 245
        }
203 246
        if (heap.empty()) return false;
204 247

	
205 248
        // Update potentials of processed nodes
206 249
        Length t_dist = heap.prio();
207 250
        for (int i = 0; i < int(_proc_nodes.size()); ++i)
208
          _potential[_proc_nodes[i]] += _dist[_proc_nodes[i]] - t_dist;
251
          _pi[_proc_nodes[i]] += _dist[_proc_nodes[i]] - t_dist;
209 252
        return true;
210 253
      }
211 254

	
212 255
    }; //class ResidualDijkstra
213 256

	
214 257
  private:
215 258

	
216 259
    // The digraph the algorithm runs on
217 260
    const Digraph &_graph;
218 261
    // The length map
219 262
    const LengthMap &_length;
220 263

	
221 264
    // Arc map of the current flow
222 265
    FlowMap *_flow;
223 266
    bool _local_flow;
224 267
    // Node map of the current potentials
225 268
    PotentialMap *_potential;
226 269
    bool _local_potential;
227 270

	
228 271
    // The source node
229
    Node _source;
272
    Node _s;
230 273
    // The target node
231
    Node _target;
274
    Node _t;
232 275

	
233 276
    // Container to store the found paths
234
    std::vector< SimplePath<Digraph> > paths;
277
    std::vector<Path> _paths;
235 278
    int _path_num;
236 279

	
237 280
    // The pred arc map
238 281
    PredMap _pred;
239
    // Implementation of the Dijkstra algorithm for finding augmenting
240
    // shortest paths in the residual network
241
    ResidualDijkstra *_dijkstra;
282
    
283
    // Data for full init
284
    PotentialMap *_init_dist;
285
    PredMap *_init_pred;
286
    bool _full_init;
242 287

	
243 288
  public:
244 289

	
245 290
    /// \brief Constructor.
246 291
    ///
247 292
    /// Constructor.
248 293
    ///
249 294
    /// \param graph The digraph the algorithm runs on.
250 295
    /// \param length The length (cost) values of the arcs.
251 296
    Suurballe( const Digraph &graph,
252 297
               const LengthMap &length ) :
253 298
      _graph(graph), _length(length), _flow(0), _local_flow(false),
254
      _potential(0), _local_potential(false), _pred(graph)
255
    {
256
      LEMON_ASSERT(std::numeric_limits<Length>::is_integer,
257
        "The length type of Suurballe must be integer");
258
    }
299
      _potential(0), _local_potential(false), _pred(graph),
300
      _init_dist(0), _init_pred(0)
301
    {}
259 302

	
260 303
    /// Destructor.
261 304
    ~Suurballe() {
262 305
      if (_local_flow) delete _flow;
263 306
      if (_local_potential) delete _potential;
264
      delete _dijkstra;
307
      delete _init_dist;
308
      delete _init_pred;
265 309
    }
266 310

	
267 311
    /// \brief Set the flow map.
268 312
    ///
269 313
    /// This function sets the flow map.
270 314
    /// If it is not used before calling \ref run() or \ref init(),
271 315
    /// an instance will be allocated automatically. The destructor
272 316
    /// deallocates this automatically allocated map, of course.
273 317
    ///
274 318
    /// The found flow contains only 0 and 1 values, since it is the
275 319
    /// union of the found arc-disjoint paths.
276 320
    ///
277 321
    /// \return <tt>(*this)</tt>
278 322
    Suurballe& flowMap(FlowMap &map) {
279 323
      if (_local_flow) {
280 324
        delete _flow;
281 325
        _local_flow = false;
282 326
      }
283 327
      _flow = &map;
284 328
      return *this;
285 329
    }
286 330

	
287 331
    /// \brief Set the potential map.
288 332
    ///
289 333
    /// This function sets the potential map.
290 334
    /// If it is not used before calling \ref run() or \ref init(),
291 335
    /// an instance will be allocated automatically. The destructor
292 336
    /// deallocates this automatically allocated map, of course.
293 337
    ///
294 338
    /// The node potentials provide the dual solution of the underlying
295 339
    /// \ref min_cost_flow "minimum cost flow problem".
296 340
    ///
297 341
    /// \return <tt>(*this)</tt>
298 342
    Suurballe& potentialMap(PotentialMap &map) {
299 343
      if (_local_potential) {
300 344
        delete _potential;
301 345
        _local_potential = false;
302 346
      }
303 347
      _potential = &map;
304 348
      return *this;
305 349
    }
306 350

	
307 351
    /// \name Execution Control
308 352
    /// The simplest way to execute the algorithm is to call the run()
309
    /// function.
310
    /// \n
353
    /// function.\n
354
    /// If you need to execute the algorithm many times using the same
355
    /// source node, then you may call fullInit() once and start()
356
    /// for each target node.\n
311 357
    /// If you only need the flow that is the union of the found
312
    /// arc-disjoint paths, you may call init() and findFlow().
358
    /// arc-disjoint paths, then you may call findFlow() instead of
359
    /// start().
313 360

	
314 361
    /// @{
315 362

	
316 363
    /// \brief Run the algorithm.
317 364
    ///
318 365
    /// This function runs the algorithm.
319 366
    ///
320 367
    /// \param s The source node.
321 368
    /// \param t The target node.
322 369
    /// \param k The number of paths to be found.
323 370
    ///
324 371
    /// \return \c k if there are at least \c k arc-disjoint paths from
325 372
    /// \c s to \c t in the digraph. Otherwise it returns the number of
326 373
    /// arc-disjoint paths found.
327 374
    ///
328 375
    /// \note Apart from the return value, <tt>s.run(s, t, k)</tt> is
329 376
    /// just a shortcut of the following code.
330 377
    /// \code
331 378
    ///   s.init(s);
332
    ///   s.findFlow(t, k);
333
    ///   s.findPaths();
379
    ///   s.start(t, k);
334 380
    /// \endcode
335 381
    int run(const Node& s, const Node& t, int k = 2) {
336 382
      init(s);
337
      findFlow(t, k);
338
      findPaths();
383
      start(t, k);
339 384
      return _path_num;
340 385
    }
341 386

	
342 387
    /// \brief Initialize the algorithm.
343 388
    ///
344
    /// This function initializes the algorithm.
389
    /// This function initializes the algorithm with the given source node.
345 390
    ///
346 391
    /// \param s The source node.
347 392
    void init(const Node& s) {
348
      _source = s;
393
      _s = s;
349 394

	
350 395
      // Initialize maps
351 396
      if (!_flow) {
352 397
        _flow = new FlowMap(_graph);
353 398
        _local_flow = true;
354 399
      }
355 400
      if (!_potential) {
356 401
        _potential = new PotentialMap(_graph);
357 402
        _local_potential = true;
358 403
      }
359
      for (ArcIt e(_graph); e != INVALID; ++e) (*_flow)[e] = 0;
360
      for (NodeIt n(_graph); n != INVALID; ++n) (*_potential)[n] = 0;
404
      _full_init = false;
405
    }
406

	
407
    /// \brief Initialize the algorithm and perform Dijkstra.
408
    ///
409
    /// This function initializes the algorithm and performs a full
410
    /// Dijkstra search from the given source node. It makes consecutive
411
    /// executions of \ref start() "start(t, k)" faster, since they
412
    /// have to perform %Dijkstra only k-1 times.
413
    ///
414
    /// This initialization is usually worth using instead of \ref init()
415
    /// if the algorithm is executed many times using the same source node.
416
    ///
417
    /// \param s The source node.
418
    void fullInit(const Node& s) {
419
      // Initialize maps
420
      init(s);
421
      if (!_init_dist) {
422
        _init_dist = new PotentialMap(_graph);
423
      }
424
      if (!_init_pred) {
425
        _init_pred = new PredMap(_graph);
426
      }
427

	
428
      // Run a full Dijkstra
429
      typename Dijkstra<Digraph, LengthMap>
430
        ::template SetStandardHeap<Heap>
431
        ::template SetDistMap<PotentialMap>
432
        ::template SetPredMap<PredMap>
433
        ::Create dijk(_graph, _length);
434
      dijk.distMap(*_init_dist).predMap(*_init_pred);
435
      dijk.run(s);
436
      
437
      _full_init = true;
438
    }
439

	
440
    /// \brief Execute the algorithm.
441
    ///
442
    /// This function executes the algorithm.
443
    ///
444
    /// \param t The target node.
445
    /// \param k The number of paths to be found.
446
    ///
447
    /// \return \c k if there are at least \c k arc-disjoint paths from
448
    /// \c s to \c t in the digraph. Otherwise it returns the number of
449
    /// arc-disjoint paths found.
450
    ///
451
    /// \note Apart from the return value, <tt>s.start(t, k)</tt> is
452
    /// just a shortcut of the following code.
453
    /// \code
454
    ///   s.findFlow(t, k);
455
    ///   s.findPaths();
456
    /// \endcode
457
    int start(const Node& t, int k = 2) {
458
      findFlow(t, k);
459
      findPaths();
460
      return _path_num;
361 461
    }
362 462

	
363 463
    /// \brief Execute the algorithm to find an optimal flow.
364 464
    ///
365 465
    /// This function executes the successive shortest path algorithm to
366 466
    /// find a minimum cost flow, which is the union of \c k (or less)
367 467
    /// arc-disjoint paths.
368 468
    ///
369 469
    /// \param t The target node.
370 470
    /// \param k The number of paths to be found.
371 471
    ///
372 472
    /// \return \c k if there are at least \c k arc-disjoint paths from
373 473
    /// the source node to the given node \c t in the digraph.
374 474
    /// Otherwise it returns the number of arc-disjoint paths found.
375 475
    ///
376 476
    /// \pre \ref init() must be called before using this function.
377 477
    int findFlow(const Node& t, int k = 2) {
378
      _target = t;
379
      _dijkstra =
380
        new ResidualDijkstra( _graph, *_flow, _length, *_potential, _pred,
381
                              _source, _target );
478
      _t = t;
479
      ResidualDijkstra dijkstra(*this);
480
      
481
      // Initialization
482
      for (ArcIt e(_graph); e != INVALID; ++e) {
483
        (*_flow)[e] = 0;
484
      }
485
      if (_full_init) {
486
        for (NodeIt n(_graph); n != INVALID; ++n) {
487
          (*_potential)[n] = (*_init_dist)[n];
488
        }
489
        Node u = _t;
490
        Arc e;
491
        while ((e = (*_init_pred)[u]) != INVALID) {
492
          (*_flow)[e] = 1;
493
          u = _graph.source(e);
494
        }        
495
        _path_num = 1;
496
      } else {
497
        for (NodeIt n(_graph); n != INVALID; ++n) {
498
          (*_potential)[n] = 0;
499
        }
500
        _path_num = 0;
501
      }
382 502

	
383 503
      // Find shortest paths
384
      _path_num = 0;
385 504
      while (_path_num < k) {
386 505
        // Run Dijkstra
387
        if (!_dijkstra->run()) break;
506
        if (!dijkstra.run(_path_num)) break;
388 507
        ++_path_num;
389 508

	
390 509
        // Set the flow along the found shortest path
391
        Node u = _target;
510
        Node u = _t;
392 511
        Arc e;
393 512
        while ((e = _pred[u]) != INVALID) {
394 513
          if (u == _graph.target(e)) {
395 514
            (*_flow)[e] = 1;
396 515
            u = _graph.source(e);
397 516
          } else {
398 517
            (*_flow)[e] = 0;
399 518
            u = _graph.target(e);
400 519
          }
401 520
        }
402 521
      }
403 522
      return _path_num;
404 523
    }
405 524

	
406 525
    /// \brief Compute the paths from the flow.
407 526
    ///
408
    /// This function computes the paths from the found minimum cost flow,
409
    /// which is the union of some arc-disjoint paths.
527
    /// This function computes arc-disjoint paths from the found minimum
528
    /// cost flow, which is the union of them.
410 529
    ///
411 530
    /// \pre \ref init() and \ref findFlow() must be called before using
412 531
    /// this function.
413 532
    void findPaths() {
414 533
      FlowMap res_flow(_graph);
415 534
      for(ArcIt a(_graph); a != INVALID; ++a) res_flow[a] = (*_flow)[a];
416 535

	
417
      paths.clear();
418
      paths.resize(_path_num);
536
      _paths.clear();
537
      _paths.resize(_path_num);
419 538
      for (int i = 0; i < _path_num; ++i) {
420
        Node n = _source;
421
        while (n != _target) {
539
        Node n = _s;
540
        while (n != _t) {
422 541
          OutArcIt e(_graph, n);
423 542
          for ( ; res_flow[e] == 0; ++e) ;
424 543
          n = _graph.target(e);
425
          paths[i].addBack(e);
544
          _paths[i].addBack(e);
426 545
          res_flow[e] = 0;
427 546
        }
428 547
      }
429 548
    }
430 549

	
431 550
    /// @}
432 551

	
433 552
    /// \name Query Functions
434 553
    /// The results of the algorithm can be obtained using these
435 554
    /// functions.
436 555
    /// \n The algorithm should be executed before using them.
437 556

	
438 557
    /// @{
439 558

	
440 559
    /// \brief Return the total length of the found paths.
441 560
    ///
442 561
    /// This function returns the total length of the found paths, i.e.
443 562
    /// the total cost of the found flow.
444 563
    /// The complexity of the function is O(e).
445 564
    ///
446 565
    /// \pre \ref run() or \ref findFlow() must be called before using
447 566
    /// this function.
448 567
    Length totalLength() const {
449 568
      Length c = 0;
... ...
@@ -499,37 +618,37 @@
499 618
    /// this function.
500 619
    const PotentialMap& potentialMap() const {
501 620
      return *_potential;
502 621
    }
503 622

	
504 623
    /// \brief Return the number of the found paths.
505 624
    ///
506 625
    /// This function returns the number of the found paths.
507 626
    ///
508 627
    /// \pre \ref run() or \ref findFlow() must be called before using
509 628
    /// this function.
510 629
    int pathNum() const {
511 630
      return _path_num;
512 631
    }
513 632

	
514 633
    /// \brief Return a const reference to the specified path.
515 634
    ///
516 635
    /// This function returns a const reference to the specified path.
517 636
    ///
518 637
    /// \param i The function returns the <tt>i</tt>-th path.
519 638
    /// \c i must be between \c 0 and <tt>%pathNum()-1</tt>.
520 639
    ///
521 640
    /// \pre \ref run() or \ref findPaths() must be called before using
522 641
    /// this function.
523
    Path path(int i) const {
524
      return paths[i];
642
    const Path& path(int i) const {
643
      return _paths[i];
525 644
    }
526 645

	
527 646
    /// @}
528 647

	
529 648
  }; //class Suurballe
530 649

	
531 650
  ///@}
532 651

	
533 652
} //namespace lemon
534 653

	
535 654
#endif //LEMON_SUURBALLE_H
Ignore white space 48 line context
... ...
@@ -80,48 +80,51 @@
80 80
  typedef Digraph::Node Node;
81 81
  typedef Digraph::Arc Arc;
82 82
  typedef concepts::ReadMap<Arc, VType> LengthMap;
83 83
  
84 84
  typedef Suurballe<Digraph, LengthMap> SuurballeType;
85 85

	
86 86
  Digraph g;
87 87
  Node n;
88 88
  Arc e;
89 89
  LengthMap len;
90 90
  SuurballeType::FlowMap flow(g);
91 91
  SuurballeType::PotentialMap pi(g);
92 92

	
93 93
  SuurballeType suurb_test(g, len);
94 94
  const SuurballeType& const_suurb_test = suurb_test;
95 95

	
96 96
  suurb_test
97 97
    .flowMap(flow)
98 98
    .potentialMap(pi);
99 99

	
100 100
  int k;
101 101
  k = suurb_test.run(n, n);
102 102
  k = suurb_test.run(n, n, k);
103 103
  suurb_test.init(n);
104
  suurb_test.fullInit(n);
105
  suurb_test.start(n);
106
  suurb_test.start(n, k);
104 107
  k = suurb_test.findFlow(n);
105 108
  k = suurb_test.findFlow(n, k);
106 109
  suurb_test.findPaths();
107 110
  
108 111
  int f;
109 112
  VType c;
110 113
  c = const_suurb_test.totalLength();
111 114
  f = const_suurb_test.flow(e);
112 115
  const SuurballeType::FlowMap& fm =
113 116
    const_suurb_test.flowMap();
114 117
  c = const_suurb_test.potential(n);
115 118
  const SuurballeType::PotentialMap& pm =
116 119
    const_suurb_test.potentialMap();
117 120
  k = const_suurb_test.pathNum();
118 121
  Path<Digraph> p = const_suurb_test.path(k);
119 122
  
120 123
  ignore_unused_variable_warning(fm);
121 124
  ignore_unused_variable_warning(pm);
122 125
}
123 126

	
124 127
// Check the feasibility of the flow
125 128
template <typename Digraph, typename FlowMap>
126 129
bool checkFlow( const Digraph& gr, const FlowMap& flow,
127 130
                typename Digraph::Node s, typename Digraph::Node t,
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