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kpeter (Peter Kovacs)
kpeter@inf.elte.hu
Rename min mean cycle classes and their members (#179) with respect to the possible introduction of min ratio cycle algorithms in the future. The renamed classes: - Karp --> KarpMmc - HartmannOrlin --> HartmannOrlinMmc - Howard --> HowardMmc The renamed members: - cycleLength() --> cycleCost() - cycleArcNum() --> cycleSize() - findMinMean() --> findCycleMean() - Value --> Cost - LargeValue --> LargeCost - SetLargeValue --> SetLargeCost
3 3 3
default
9 files changed with 386 insertions and 386 deletions:
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Ignore white space 6 line context
... ...
@@ -91,6 +91,6 @@
91 91
	lemon/grid_graph.h \
92
	lemon/hartmann_orlin.h \
93
	lemon/howard.h \
92
	lemon/hartmann_orlin_mmc.h \
93
	lemon/howard_mmc.h \
94 94
	lemon/hypercube_graph.h \
95
	lemon/karp.h \
95
	lemon/karp_mmc.h \
96 96
	lemon/kruskal.h \
Ignore white space 6 line context
... ...
@@ -36,3 +36,3 @@
36 36
#include <lemon/bellman_ford.h>
37
#include <lemon/howard.h>
37
#include <lemon/howard_mmc.h>
38 38

	
... ...
@@ -926,3 +926,3 @@
926 926
      typedef typename SPath::ArcIt SPathArcIt;
927
      typedef typename Howard<StaticDigraph, CostArcMap>
927
      typedef typename HowardMmc<StaticDigraph, CostArcMap>
928 928
        ::template SetPath<SPath>::Create MMC;
... ...
@@ -933,3 +933,3 @@
933 933
      buildResidualNetwork();
934
      while (mmc.findMinMean() && mmc.cycleLength() < 0) {
934
      while (mmc.findCycleMean() && mmc.cycleCost() < 0) {
935 935
        // Find the cycle
... ...
@@ -1134,3 +1134,3 @@
1134 1134
        } else {
1135
          typedef Howard<StaticDigraph, CostArcMap> MMC;
1135
          typedef HowardMmc<StaticDigraph, CostArcMap> MMC;
1136 1136
          typedef typename BellmanFord<StaticDigraph, CostArcMap>
... ...
@@ -1141,6 +1141,6 @@
1141 1141
          MMC mmc(_sgr, _cost_map);
1142
          mmc.findMinMean();
1142
          mmc.findCycleMean();
1143 1143
          epsilon = -mmc.cycleMean();
1144
          Cost cycle_cost = mmc.cycleLength();
1145
          int cycle_size = mmc.cycleArcNum();
1144
          Cost cycle_cost = mmc.cycleCost();
1145
          int cycle_size = mmc.cycleSize();
1146 1146
          
Ignore white space 6 line context
... ...
@@ -18,4 +18,4 @@
18 18

	
19
#ifndef LEMON_HARTMANN_ORLIN_H
20
#define LEMON_HARTMANN_ORLIN_H
19
#ifndef LEMON_HARTMANN_ORLIN_MMC_H
20
#define LEMON_HARTMANN_ORLIN_MMC_H
21 21

	
... ...
@@ -35,15 +35,15 @@
35 35

	
36
  /// \brief Default traits class of HartmannOrlin algorithm.
36
  /// \brief Default traits class of HartmannOrlinMmc class.
37 37
  ///
38
  /// Default traits class of HartmannOrlin algorithm.
38
  /// Default traits class of HartmannOrlinMmc class.
39 39
  /// \tparam GR The type of the digraph.
40
  /// \tparam LEN The type of the length map.
40
  /// \tparam CM The type of the cost map.
41 41
  /// It must conform to the \ref concepts::Rea_data "Rea_data" concept.
42 42
#ifdef DOXYGEN
43
  template <typename GR, typename LEN>
43
  template <typename GR, typename CM>
44 44
#else
45
  template <typename GR, typename LEN,
46
    bool integer = std::numeric_limits<typename LEN::Value>::is_integer>
45
  template <typename GR, typename CM,
46
    bool integer = std::numeric_limits<typename CM::Value>::is_integer>
47 47
#endif
48
  struct HartmannOrlinDefaultTraits
48
  struct HartmannOrlinMmcDefaultTraits
49 49
  {
... ...
@@ -51,17 +51,17 @@
51 51
    typedef GR Digraph;
52
    /// The type of the length map
53
    typedef LEN LengthMap;
54
    /// The type of the arc lengths
55
    typedef typename LengthMap::Value Value;
52
    /// The type of the cost map
53
    typedef CM CostMap;
54
    /// The type of the arc costs
55
    typedef typename CostMap::Value Cost;
56 56

	
57
    /// \brief The large value type used for internal computations
57
    /// \brief The large cost type used for internal computations
58 58
    ///
59
    /// The large value type used for internal computations.
60
    /// It is \c long \c long if the \c Value type is integer,
59
    /// The large cost type used for internal computations.
60
    /// It is \c long \c long if the \c Cost type is integer,
61 61
    /// otherwise it is \c double.
62
    /// \c Value must be convertible to \c LargeValue.
63
    typedef double LargeValue;
62
    /// \c Cost must be convertible to \c LargeCost.
63
    typedef double LargeCost;
64 64

	
65 65
    /// The tolerance type used for internal computations
66
    typedef lemon::Tolerance<LargeValue> Tolerance;
66
    typedef lemon::Tolerance<LargeCost> Tolerance;
67 67

	
... ...
@@ -75,15 +75,15 @@
75 75

	
76
  // Default traits class for integer value types
77
  template <typename GR, typename LEN>
78
  struct HartmannOrlinDefaultTraits<GR, LEN, true>
76
  // Default traits class for integer cost types
77
  template <typename GR, typename CM>
78
  struct HartmannOrlinMmcDefaultTraits<GR, CM, true>
79 79
  {
80 80
    typedef GR Digraph;
81
    typedef LEN LengthMap;
82
    typedef typename LengthMap::Value Value;
81
    typedef CM CostMap;
82
    typedef typename CostMap::Value Cost;
83 83
#ifdef LEMON_HAVE_LONG_LONG
84
    typedef long long LargeValue;
84
    typedef long long LargeCost;
85 85
#else
86
    typedef long LargeValue;
86
    typedef long LargeCost;
87 87
#endif
88
    typedef lemon::Tolerance<LargeValue> Tolerance;
88
    typedef lemon::Tolerance<LargeCost> Tolerance;
89 89
    typedef lemon::Path<Digraph> Path;
... ...
@@ -99,3 +99,3 @@
99 99
  /// This class implements the Hartmann-Orlin algorithm for finding
100
  /// a directed cycle of minimum mean length (cost) in a digraph
100
  /// a directed cycle of minimum mean cost in a digraph
101 101
  /// \ref amo93networkflows, \ref dasdan98minmeancycle.
... ...
@@ -106,7 +106,7 @@
106 106
  /// \tparam GR The type of the digraph the algorithm runs on.
107
  /// \tparam LEN The type of the length map. The default
107
  /// \tparam CM The type of the cost map. The default
108 108
  /// map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
109 109
  /// \tparam TR The traits class that defines various types used by the
110
  /// algorithm. By default, it is \ref HartmannOrlinDefaultTraits
111
  /// "HartmannOrlinDefaultTraits<GR, LEN>".
110
  /// algorithm. By default, it is \ref HartmannOrlinMmcDefaultTraits
111
  /// "HartmannOrlinMmcDefaultTraits<GR, CM>".
112 112
  /// In most cases, this parameter should not be set directly,
... ...
@@ -114,9 +114,9 @@
114 114
#ifdef DOXYGEN
115
  template <typename GR, typename LEN, typename TR>
115
  template <typename GR, typename CM, typename TR>
116 116
#else
117 117
  template < typename GR,
118
             typename LEN = typename GR::template ArcMap<int>,
119
             typename TR = HartmannOrlinDefaultTraits<GR, LEN> >
118
             typename CM = typename GR::template ArcMap<int>,
119
             typename TR = HartmannOrlinMmcDefaultTraits<GR, CM> >
120 120
#endif
121
  class HartmannOrlin
121
  class HartmannOrlinMmc
122 122
  {
... ...
@@ -126,13 +126,13 @@
126 126
    typedef typename TR::Digraph Digraph;
127
    /// The type of the length map
128
    typedef typename TR::LengthMap LengthMap;
129
    /// The type of the arc lengths
130
    typedef typename TR::Value Value;
127
    /// The type of the cost map
128
    typedef typename TR::CostMap CostMap;
129
    /// The type of the arc costs
130
    typedef typename TR::Cost Cost;
131 131

	
132
    /// \brief The large value type
132
    /// \brief The large cost type
133 133
    ///
134
    /// The large value type used for internal computations.
135
    /// By default, it is \c long \c long if the \c Value type is integer,
134
    /// The large cost type used for internal computations.
135
    /// By default, it is \c long \c long if the \c Cost type is integer,
136 136
    /// otherwise it is \c double.
137
    typedef typename TR::LargeValue LargeValue;
137
    typedef typename TR::LargeCost LargeCost;
138 138

	
... ...
@@ -144,3 +144,3 @@
144 144
    /// The path type of the found cycles.
145
    /// Using the \ref HartmannOrlinDefaultTraits "default traits class",
145
    /// Using the \ref HartmannOrlinMmcDefaultTraits "default traits class",
146 146
    /// it is \ref lemon::Path "Path<Digraph>".
... ...
@@ -148,3 +148,3 @@
148 148

	
149
    /// The \ref HartmannOrlinDefaultTraits "traits class" of the algorithm
149
    /// The \ref HartmannOrlinMmcDefaultTraits "traits class" of the algorithm
150 150
    typedef TR Traits;
... ...
@@ -158,5 +158,5 @@
158 158
    {
159
      LargeValue dist;
159
      LargeCost dist;
160 160
      Arc pred;
161
      PathData(LargeValue d, Arc p = INVALID) :
161
      PathData(LargeCost d, Arc p = INVALID) :
162 162
        dist(d), pred(p) {}
... ...
@@ -171,4 +171,4 @@
171 171
    const Digraph &_gr;
172
    // The length of the arcs
173
    const LengthMap &_length;
172
    // The cost of the arcs
173
    const CostMap &_cost;
174 174

	
... ...
@@ -183,3 +183,3 @@
183 183
    bool _curr_found, _best_found;
184
    LargeValue _curr_length, _best_length;
184
    LargeCost _curr_cost, _best_cost;
185 185
    int _curr_size, _best_size;
... ...
@@ -199,3 +199,3 @@
199 199
    // Infinite constant
200
    const LargeValue INF;
200
    const LargeCost INF;
201 201

	
... ...
@@ -207,4 +207,4 @@
207 207
    template <typename T>
208
    struct SetLargeValueTraits : public Traits {
209
      typedef T LargeValue;
208
    struct SetLargeCostTraits : public Traits {
209
      typedef T LargeCost;
210 210
      typedef lemon::Tolerance<T> Tolerance;
... ...
@@ -213,10 +213,10 @@
213 213
    /// \brief \ref named-templ-param "Named parameter" for setting
214
    /// \c LargeValue type.
214
    /// \c LargeCost type.
215 215
    ///
216
    /// \ref named-templ-param "Named parameter" for setting \c LargeValue
216
    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
217 217
    /// type. It is used for internal computations in the algorithm.
218 218
    template <typename T>
219
    struct SetLargeValue
220
      : public HartmannOrlin<GR, LEN, SetLargeValueTraits<T> > {
221
      typedef HartmannOrlin<GR, LEN, SetLargeValueTraits<T> > Create;
219
    struct SetLargeCost
220
      : public HartmannOrlinMmc<GR, CM, SetLargeCostTraits<T> > {
221
      typedef HartmannOrlinMmc<GR, CM, SetLargeCostTraits<T> > Create;
222 222
    };
... ...
@@ -237,4 +237,4 @@
237 237
    struct SetPath
238
      : public HartmannOrlin<GR, LEN, SetPathTraits<T> > {
239
      typedef HartmannOrlin<GR, LEN, SetPathTraits<T> > Create;
238
      : public HartmannOrlinMmc<GR, CM, SetPathTraits<T> > {
239
      typedef HartmannOrlinMmc<GR, CM, SetPathTraits<T> > Create;
240 240
    };
... ...
@@ -245,3 +245,3 @@
245 245

	
246
    HartmannOrlin() {}
246
    HartmannOrlinMmc() {}
247 247

	
... ...
@@ -254,11 +254,11 @@
254 254
    /// \param digraph The digraph the algorithm runs on.
255
    /// \param length The lengths (costs) of the arcs.
256
    HartmannOrlin( const Digraph &digraph,
257
                   const LengthMap &length ) :
258
      _gr(digraph), _length(length), _comp(digraph), _out_arcs(digraph),
259
      _best_found(false), _best_length(0), _best_size(1),
255
    /// \param cost The costs of the arcs.
256
    HartmannOrlinMmc( const Digraph &digraph,
257
                      const CostMap &cost ) :
258
      _gr(digraph), _cost(cost), _comp(digraph), _out_arcs(digraph),
259
      _best_found(false), _best_cost(0), _best_size(1),
260 260
      _cycle_path(NULL), _local_path(false), _data(digraph),
261
      INF(std::numeric_limits<LargeValue>::has_infinity ?
262
          std::numeric_limits<LargeValue>::infinity() :
263
          std::numeric_limits<LargeValue>::max())
261
      INF(std::numeric_limits<LargeCost>::has_infinity ?
262
          std::numeric_limits<LargeCost>::infinity() :
263
          std::numeric_limits<LargeCost>::max())
264 264
    {}
... ...
@@ -266,3 +266,3 @@
266 266
    /// Destructor.
267
    ~HartmannOrlin() {
267
    ~HartmannOrlinMmc() {
268 268
      if (_local_path) delete _cycle_path;
... ...
@@ -276,3 +276,3 @@
276 276
    /// If you don't call this function before calling \ref run() or
277
    /// \ref findMinMean(), it will allocate a local \ref Path "path"
277
    /// \ref findCycleMean(), it will allocate a local \ref Path "path"
278 278
    /// structure. The destuctor deallocates this automatically
... ...
@@ -284,3 +284,3 @@
284 284
    /// \return <tt>(*this)</tt>
285
    HartmannOrlin& cycle(Path &path) {
285
    HartmannOrlinMmc& cycle(Path &path) {
286 286
      if (_local_path) {
... ...
@@ -298,3 +298,3 @@
298 298
    /// \return <tt>(*this)</tt>
299
    HartmannOrlin& tolerance(const Tolerance& tolerance) {
299
    HartmannOrlinMmc& tolerance(const Tolerance& tolerance) {
300 300
      _tolerance = tolerance;
... ...
@@ -314,4 +314,4 @@
314 314
    /// function.\n
315
    /// If you only need the minimum mean length, you may call
316
    /// \ref findMinMean().
315
    /// If you only need the minimum mean cost, you may call
316
    /// \ref findCycleMean().
317 317

	
... ...
@@ -323,3 +323,3 @@
323 323
    /// It can be called more than once (e.g. if the underlying digraph
324
    /// and/or the arc lengths have been modified).
324
    /// and/or the arc costs have been modified).
325 325
    ///
... ...
@@ -329,6 +329,6 @@
329 329
    /// \code
330
    ///   return mmc.findMinMean() && mmc.findCycle();
330
    ///   return mmc.findCycleMean() && mmc.findCycle();
331 331
    /// \endcode
332 332
    bool run() {
333
      return findMinMean() && findCycle();
333
      return findCycleMean() && findCycle();
334 334
    }
... ...
@@ -337,3 +337,3 @@
337 337
    ///
338
    /// This function finds the minimum mean length of the directed
338
    /// This function finds the minimum mean cost of the directed
339 339
    /// cycles in the digraph.
... ...
@@ -341,3 +341,3 @@
341 341
    /// \return \c true if a directed cycle exists in the digraph.
342
    bool findMinMean() {
342
    bool findCycleMean() {
343 343
      // Initialization and find strongly connected components
... ...
@@ -353,5 +353,5 @@
353 353
        if ( _curr_found && (!_best_found || 
354
             _curr_length * _best_size < _best_length * _curr_size) ) {
354
             _curr_cost * _best_size < _best_cost * _curr_size) ) {
355 355
          _best_found = true;
356
          _best_length = _curr_length;
356
          _best_cost = _curr_cost;
357 357
          _best_size = _curr_size;
... ...
@@ -366,4 +366,4 @@
366 366
    ///
367
    /// This function finds a directed cycle of minimum mean length
368
    /// in the digraph using the data computed by findMinMean().
367
    /// This function finds a directed cycle of minimum mean cost
368
    /// in the digraph using the data computed by findCycleMean().
369 369
    ///
... ...
@@ -371,3 +371,3 @@
371 371
    ///
372
    /// \pre \ref findMinMean() must be called before using this function.
372
    /// \pre \ref findCycleMean() must be called before using this function.
373 373
    bool findCycle() {
... ...
@@ -384,3 +384,3 @@
384 384
      _cycle_path->addFront(e);
385
      _best_length = _length[e];
385
      _best_cost = _cost[e];
386 386
      _best_size = 1;
... ...
@@ -390,3 +390,3 @@
390 390
        _cycle_path->addFront(e);
391
        _best_length += _length[e];
391
        _best_cost += _cost[e];
392 392
        ++_best_size;
... ...
@@ -405,10 +405,10 @@
405 405

	
406
    /// \brief Return the total length of the found cycle.
406
    /// \brief Return the total cost of the found cycle.
407 407
    ///
408
    /// This function returns the total length of the found cycle.
408
    /// This function returns the total cost of the found cycle.
409 409
    ///
410
    /// \pre \ref run() or \ref findMinMean() must be called before
410
    /// \pre \ref run() or \ref findCycleMean() must be called before
411 411
    /// using this function.
412
    Value cycleLength() const {
413
      return static_cast<Value>(_best_length);
412
    Cost cycleCost() const {
413
      return static_cast<Cost>(_best_cost);
414 414
    }
... ...
@@ -419,5 +419,5 @@
419 419
    ///
420
    /// \pre \ref run() or \ref findMinMean() must be called before
420
    /// \pre \ref run() or \ref findCycleMean() must be called before
421 421
    /// using this function.
422
    int cycleArcNum() const {
422
    int cycleSize() const {
423 423
      return _best_size;
... ...
@@ -425,5 +425,5 @@
425 425

	
426
    /// \brief Return the mean length of the found cycle.
426
    /// \brief Return the mean cost of the found cycle.
427 427
    ///
428
    /// This function returns the mean length of the found cycle.
428
    /// This function returns the mean cost of the found cycle.
429 429
    ///
... ...
@@ -432,9 +432,9 @@
432 432
    /// \code
433
    ///   return static_cast<double>(alg.cycleLength()) / alg.cycleArcNum();
433
    ///   return static_cast<double>(alg.cycleCost()) / alg.cycleSize();
434 434
    /// \endcode
435 435
    ///
436
    /// \pre \ref run() or \ref findMinMean() must be called before
436
    /// \pre \ref run() or \ref findCycleMean() must be called before
437 437
    /// using this function.
438 438
    double cycleMean() const {
439
      return static_cast<double>(_best_length) / _best_size;
439
      return static_cast<double>(_best_cost) / _best_size;
440 440
    }
... ...
@@ -464,3 +464,3 @@
464 464
      _best_found = false;
465
      _best_length = 0;
465
      _best_cost = 0;
466 466
      _best_size = 1;
... ...
@@ -513,3 +513,3 @@
513 513
    // Process all rounds of computing path data for the current component.
514
    // _data[v][k] is the length of a shortest directed walk from the root
514
    // _data[v][k] is the cost of a shortest directed walk from the root
515 515
    // node to node v containing exactly k arcs.
... ...
@@ -545,3 +545,3 @@
545 545
      Arc e;
546
      LargeValue d;
546
      LargeCost d;
547 547
      for (int i = 0; i < int(_process.size()); ++i) {
... ...
@@ -551,3 +551,3 @@
551 551
          v = _gr.target(e);
552
          d = _data[u][k-1].dist + _length[e];
552
          d = _data[u][k-1].dist + _cost[e];
553 553
          if (_tolerance.less(d, _data[v][k].dist)) {
... ...
@@ -565,3 +565,3 @@
565 565
      Arc e;
566
      LargeValue d;
566
      LargeCost d;
567 567
      for (int i = 0; i < int(_nodes->size()); ++i) {
... ...
@@ -571,3 +571,3 @@
571 571
          v = _gr.target(e);
572
          d = _data[u][k-1].dist + _length[e];
572
          d = _data[u][k-1].dist + _cost[e];
573 573
          if (_tolerance.less(d, _data[v][k].dist)) {
... ...
@@ -583,5 +583,5 @@
583 583
      typename GR::template NodeMap<Pair> level(_gr, Pair(-1, 0));
584
      typename GR::template NodeMap<LargeValue> pi(_gr);
584
      typename GR::template NodeMap<LargeCost> pi(_gr);
585 585
      int n = _nodes->size();
586
      LargeValue length;
586
      LargeCost cost;
587 587
      int size;
... ...
@@ -597,6 +597,6 @@
597 597
            // A cycle is found
598
            length = _data[u][level[u].second].dist - _data[u][j].dist;
598
            cost = _data[u][level[u].second].dist - _data[u][j].dist;
599 599
            size = level[u].second - j;
600
            if (!_curr_found || length * _curr_size < _curr_length * size) {
601
              _curr_length = length;
600
            if (!_curr_found || cost * _curr_size < _curr_cost * size) {
601
              _curr_cost = cost;
602 602
              _curr_size = size;
... ...
@@ -615,3 +615,3 @@
615 615
      // If at least one cycle is found, check the optimality condition
616
      LargeValue d;
616
      LargeCost d;
617 617
      if (_curr_found && k < n) {
... ...
@@ -623,3 +623,3 @@
623 623
            if (_data[u][j].dist < INF) {
624
              d = _data[u][j].dist * _curr_size - j * _curr_length;
624
              d = _data[u][j].dist * _curr_size - j * _curr_cost;
625 625
              if (_tolerance.less(d, pi[u])) pi[u] = d;
... ...
@@ -632,3 +632,3 @@
632 632
        for (ArcIt a(_gr); a != INVALID; ++a) {
633
          if (_tolerance.less(_length[a] * _curr_size - _curr_length,
633
          if (_tolerance.less(_cost[a] * _curr_size - _curr_cost,
634 634
                              pi[_gr.target(a)] - pi[_gr.source(a)]) ) {
... ...
@@ -643,3 +643,3 @@
643 643

	
644
  }; //class HartmannOrlin
644
  }; //class HartmannOrlinMmc
645 645

	
... ...
@@ -649,2 +649,2 @@
649 649

	
650
#endif //LEMON_HARTMANN_ORLIN_H
650
#endif //LEMON_HARTMANN_ORLIN_MMC_H
Show white space 6 line context
... ...
@@ -18,4 +18,4 @@
18 18

	
19
#ifndef LEMON_HOWARD_H
20
#define LEMON_HOWARD_H
19
#ifndef LEMON_HOWARD_MMC_H
20
#define LEMON_HOWARD_MMC_H
21 21

	
... ...
@@ -35,15 +35,15 @@
35 35

	
36
  /// \brief Default traits class of Howard class.
36
  /// \brief Default traits class of HowardMmc class.
37 37
  ///
38
  /// Default traits class of Howard class.
38
  /// Default traits class of HowardMmc class.
39 39
  /// \tparam GR The type of the digraph.
40
  /// \tparam LEN The type of the length map.
40
  /// \tparam CM The type of the cost map.
41 41
  /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
42 42
#ifdef DOXYGEN
43
  template <typename GR, typename LEN>
43
  template <typename GR, typename CM>
44 44
#else
45
  template <typename GR, typename LEN,
46
    bool integer = std::numeric_limits<typename LEN::Value>::is_integer>
45
  template <typename GR, typename CM,
46
    bool integer = std::numeric_limits<typename CM::Value>::is_integer>
47 47
#endif
48
  struct HowardDefaultTraits
48
  struct HowardMmcDefaultTraits
49 49
  {
... ...
@@ -51,17 +51,17 @@
51 51
    typedef GR Digraph;
52
    /// The type of the length map
53
    typedef LEN LengthMap;
54
    /// The type of the arc lengths
55
    typedef typename LengthMap::Value Value;
52
    /// The type of the cost map
53
    typedef CM CostMap;
54
    /// The type of the arc costs
55
    typedef typename CostMap::Value Cost;
56 56

	
57
    /// \brief The large value type used for internal computations
57
    /// \brief The large cost type used for internal computations
58 58
    ///
59
    /// The large value type used for internal computations.
60
    /// It is \c long \c long if the \c Value type is integer,
59
    /// The large cost type used for internal computations.
60
    /// It is \c long \c long if the \c Cost type is integer,
61 61
    /// otherwise it is \c double.
62
    /// \c Value must be convertible to \c LargeValue.
63
    typedef double LargeValue;
62
    /// \c Cost must be convertible to \c LargeCost.
63
    typedef double LargeCost;
64 64

	
65 65
    /// The tolerance type used for internal computations
66
    typedef lemon::Tolerance<LargeValue> Tolerance;
66
    typedef lemon::Tolerance<LargeCost> Tolerance;
67 67

	
... ...
@@ -75,15 +75,15 @@
75 75

	
76
  // Default traits class for integer value types
77
  template <typename GR, typename LEN>
78
  struct HowardDefaultTraits<GR, LEN, true>
76
  // Default traits class for integer cost types
77
  template <typename GR, typename CM>
78
  struct HowardMmcDefaultTraits<GR, CM, true>
79 79
  {
80 80
    typedef GR Digraph;
81
    typedef LEN LengthMap;
82
    typedef typename LengthMap::Value Value;
81
    typedef CM CostMap;
82
    typedef typename CostMap::Value Cost;
83 83
#ifdef LEMON_HAVE_LONG_LONG
84
    typedef long long LargeValue;
84
    typedef long long LargeCost;
85 85
#else
86
    typedef long LargeValue;
86
    typedef long LargeCost;
87 87
#endif
88
    typedef lemon::Tolerance<LargeValue> Tolerance;
88
    typedef lemon::Tolerance<LargeCost> Tolerance;
89 89
    typedef lemon::Path<Digraph> Path;
... ...
@@ -99,3 +99,3 @@
99 99
  /// This class implements Howard's policy iteration algorithm for finding
100
  /// a directed cycle of minimum mean length (cost) in a digraph
100
  /// a directed cycle of minimum mean cost in a digraph
101 101
  /// \ref amo93networkflows, \ref dasdan98minmeancycle.
... ...
@@ -106,7 +106,7 @@
106 106
  /// \tparam GR The type of the digraph the algorithm runs on.
107
  /// \tparam LEN The type of the length map. The default
107
  /// \tparam CM The type of the cost map. The default
108 108
  /// map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
109 109
  /// \tparam TR The traits class that defines various types used by the
110
  /// algorithm. By default, it is \ref HowardDefaultTraits
111
  /// "HowardDefaultTraits<GR, LEN>".
110
  /// algorithm. By default, it is \ref HowardMmcDefaultTraits
111
  /// "HowardMmcDefaultTraits<GR, CM>".
112 112
  /// In most cases, this parameter should not be set directly,
... ...
@@ -114,9 +114,9 @@
114 114
#ifdef DOXYGEN
115
  template <typename GR, typename LEN, typename TR>
115
  template <typename GR, typename CM, typename TR>
116 116
#else
117 117
  template < typename GR,
118
             typename LEN = typename GR::template ArcMap<int>,
119
             typename TR = HowardDefaultTraits<GR, LEN> >
118
             typename CM = typename GR::template ArcMap<int>,
119
             typename TR = HowardMmcDefaultTraits<GR, CM> >
120 120
#endif
121
  class Howard
121
  class HowardMmc
122 122
  {
... ...
@@ -126,13 +126,13 @@
126 126
    typedef typename TR::Digraph Digraph;
127
    /// The type of the length map
128
    typedef typename TR::LengthMap LengthMap;
129
    /// The type of the arc lengths
130
    typedef typename TR::Value Value;
127
    /// The type of the cost map
128
    typedef typename TR::CostMap CostMap;
129
    /// The type of the arc costs
130
    typedef typename TR::Cost Cost;
131 131

	
132
    /// \brief The large value type
132
    /// \brief The large cost type
133 133
    ///
134
    /// The large value type used for internal computations.
135
    /// By default, it is \c long \c long if the \c Value type is integer,
134
    /// The large cost type used for internal computations.
135
    /// By default, it is \c long \c long if the \c Cost type is integer,
136 136
    /// otherwise it is \c double.
137
    typedef typename TR::LargeValue LargeValue;
137
    typedef typename TR::LargeCost LargeCost;
138 138

	
... ...
@@ -144,3 +144,3 @@
144 144
    /// The path type of the found cycles.
145
    /// Using the \ref HowardDefaultTraits "default traits class",
145
    /// Using the \ref HowardMmcDefaultTraits "default traits class",
146 146
    /// it is \ref lemon::Path "Path<Digraph>".
... ...
@@ -148,3 +148,3 @@
148 148

	
149
    /// The \ref HowardDefaultTraits "traits class" of the algorithm
149
    /// The \ref HowardMmcDefaultTraits "traits class" of the algorithm
150 150
    typedef TR Traits;
... ...
@@ -157,4 +157,4 @@
157 157
    const Digraph &_gr;
158
    // The length of the arcs
159
    const LengthMap &_length;
158
    // The cost of the arcs
159
    const CostMap &_cost;
160 160

	
... ...
@@ -162,3 +162,3 @@
162 162
    bool _curr_found, _best_found;
163
    LargeValue _curr_length, _best_length;
163
    LargeCost _curr_cost, _best_cost;
164 164
    int _curr_size, _best_size;
... ...
@@ -173,3 +173,3 @@
173 173
    typename Digraph::template NodeMap<int> _level;
174
    typename Digraph::template NodeMap<LargeValue> _dist;
174
    typename Digraph::template NodeMap<LargeCost> _dist;
175 175

	
... ...
@@ -189,3 +189,3 @@
189 189
    // Infinite constant
190
    const LargeValue INF;
190
    const LargeCost INF;
191 191

	
... ...
@@ -197,4 +197,4 @@
197 197
    template <typename T>
198
    struct SetLargeValueTraits : public Traits {
199
      typedef T LargeValue;
198
    struct SetLargeCostTraits : public Traits {
199
      typedef T LargeCost;
200 200
      typedef lemon::Tolerance<T> Tolerance;
... ...
@@ -203,10 +203,10 @@
203 203
    /// \brief \ref named-templ-param "Named parameter" for setting
204
    /// \c LargeValue type.
204
    /// \c LargeCost type.
205 205
    ///
206
    /// \ref named-templ-param "Named parameter" for setting \c LargeValue
206
    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
207 207
    /// type. It is used for internal computations in the algorithm.
208 208
    template <typename T>
209
    struct SetLargeValue
210
      : public Howard<GR, LEN, SetLargeValueTraits<T> > {
211
      typedef Howard<GR, LEN, SetLargeValueTraits<T> > Create;
209
    struct SetLargeCost
210
      : public HowardMmc<GR, CM, SetLargeCostTraits<T> > {
211
      typedef HowardMmc<GR, CM, SetLargeCostTraits<T> > Create;
212 212
    };
... ...
@@ -227,4 +227,4 @@
227 227
    struct SetPath
228
      : public Howard<GR, LEN, SetPathTraits<T> > {
229
      typedef Howard<GR, LEN, SetPathTraits<T> > Create;
228
      : public HowardMmc<GR, CM, SetPathTraits<T> > {
229
      typedef HowardMmc<GR, CM, SetPathTraits<T> > Create;
230 230
    };
... ...
@@ -235,3 +235,3 @@
235 235

	
236
    Howard() {}
236
    HowardMmc() {}
237 237

	
... ...
@@ -244,12 +244,12 @@
244 244
    /// \param digraph The digraph the algorithm runs on.
245
    /// \param length The lengths (costs) of the arcs.
246
    Howard( const Digraph &digraph,
247
            const LengthMap &length ) :
248
      _gr(digraph), _length(length), _best_found(false),
249
      _best_length(0), _best_size(1), _cycle_path(NULL), _local_path(false),
245
    /// \param cost The costs of the arcs.
246
    HowardMmc( const Digraph &digraph,
247
               const CostMap &cost ) :
248
      _gr(digraph), _cost(cost), _best_found(false),
249
      _best_cost(0), _best_size(1), _cycle_path(NULL), _local_path(false),
250 250
      _policy(digraph), _reached(digraph), _level(digraph), _dist(digraph),
251 251
      _comp(digraph), _in_arcs(digraph),
252
      INF(std::numeric_limits<LargeValue>::has_infinity ?
253
          std::numeric_limits<LargeValue>::infinity() :
254
          std::numeric_limits<LargeValue>::max())
252
      INF(std::numeric_limits<LargeCost>::has_infinity ?
253
          std::numeric_limits<LargeCost>::infinity() :
254
          std::numeric_limits<LargeCost>::max())
255 255
    {}
... ...
@@ -257,3 +257,3 @@
257 257
    /// Destructor.
258
    ~Howard() {
258
    ~HowardMmc() {
259 259
      if (_local_path) delete _cycle_path;
... ...
@@ -267,3 +267,3 @@
267 267
    /// If you don't call this function before calling \ref run() or
268
    /// \ref findMinMean(), it will allocate a local \ref Path "path"
268
    /// \ref findCycleMean(), it will allocate a local \ref Path "path"
269 269
    /// structure. The destuctor deallocates this automatically
... ...
@@ -275,3 +275,3 @@
275 275
    /// \return <tt>(*this)</tt>
276
    Howard& cycle(Path &path) {
276
    HowardMmc& cycle(Path &path) {
277 277
      if (_local_path) {
... ...
@@ -289,3 +289,3 @@
289 289
    /// \return <tt>(*this)</tt>
290
    Howard& tolerance(const Tolerance& tolerance) {
290
    HowardMmc& tolerance(const Tolerance& tolerance) {
291 291
      _tolerance = tolerance;
... ...
@@ -305,4 +305,4 @@
305 305
    /// function.\n
306
    /// If you only need the minimum mean length, you may call
307
    /// \ref findMinMean().
306
    /// If you only need the minimum mean cost, you may call
307
    /// \ref findCycleMean().
308 308

	
... ...
@@ -314,3 +314,3 @@
314 314
    /// It can be called more than once (e.g. if the underlying digraph
315
    /// and/or the arc lengths have been modified).
315
    /// and/or the arc costs have been modified).
316 316
    ///
... ...
@@ -320,6 +320,6 @@
320 320
    /// \code
321
    ///   return mmc.findMinMean() && mmc.findCycle();
321
    ///   return mmc.findCycleMean() && mmc.findCycle();
322 322
    /// \endcode
323 323
    bool run() {
324
      return findMinMean() && findCycle();
324
      return findCycleMean() && findCycle();
325 325
    }
... ...
@@ -328,3 +328,3 @@
328 328
    ///
329
    /// This function finds the minimum mean length of the directed
329
    /// This function finds the minimum mean cost of the directed
330 330
    /// cycles in the digraph.
... ...
@@ -332,3 +332,3 @@
332 332
    /// \return \c true if a directed cycle exists in the digraph.
333
    bool findMinMean() {
333
    bool findCycleMean() {
334 334
      // Initialize and find strongly connected components
... ...
@@ -347,5 +347,5 @@
347 347
        if ( _curr_found && (!_best_found ||
348
             _curr_length * _best_size < _best_length * _curr_size) ) {
348
             _curr_cost * _best_size < _best_cost * _curr_size) ) {
349 349
          _best_found = true;
350
          _best_length = _curr_length;
350
          _best_cost = _curr_cost;
351 351
          _best_size = _curr_size;
... ...
@@ -359,4 +359,4 @@
359 359
    ///
360
    /// This function finds a directed cycle of minimum mean length
361
    /// in the digraph using the data computed by findMinMean().
360
    /// This function finds a directed cycle of minimum mean cost
361
    /// in the digraph using the data computed by findCycleMean().
362 362
    ///
... ...
@@ -364,3 +364,3 @@
364 364
    ///
365
    /// \pre \ref findMinMean() must be called before using this function.
365
    /// \pre \ref findCycleMean() must be called before using this function.
366 366
    bool findCycle() {
... ...
@@ -384,10 +384,10 @@
384 384

	
385
    /// \brief Return the total length of the found cycle.
385
    /// \brief Return the total cost of the found cycle.
386 386
    ///
387
    /// This function returns the total length of the found cycle.
387
    /// This function returns the total cost of the found cycle.
388 388
    ///
389
    /// \pre \ref run() or \ref findMinMean() must be called before
389
    /// \pre \ref run() or \ref findCycleMean() must be called before
390 390
    /// using this function.
391
    Value cycleLength() const {
392
      return static_cast<Value>(_best_length);
391
    Cost cycleCost() const {
392
      return static_cast<Cost>(_best_cost);
393 393
    }
... ...
@@ -398,5 +398,5 @@
398 398
    ///
399
    /// \pre \ref run() or \ref findMinMean() must be called before
399
    /// \pre \ref run() or \ref findCycleMean() must be called before
400 400
    /// using this function.
401
    int cycleArcNum() const {
401
    int cycleSize() const {
402 402
      return _best_size;
... ...
@@ -404,5 +404,5 @@
404 404

	
405
    /// \brief Return the mean length of the found cycle.
405
    /// \brief Return the mean cost of the found cycle.
406 406
    ///
407
    /// This function returns the mean length of the found cycle.
407
    /// This function returns the mean cost of the found cycle.
408 408
    ///
... ...
@@ -411,9 +411,9 @@
411 411
    /// \code
412
    ///   return static_cast<double>(alg.cycleLength()) / alg.cycleArcNum();
412
    ///   return static_cast<double>(alg.cycleCost()) / alg.cycleSize();
413 413
    /// \endcode
414 414
    ///
415
    /// \pre \ref run() or \ref findMinMean() must be called before
415
    /// \pre \ref run() or \ref findCycleMean() must be called before
416 416
    /// using this function.
417 417
    double cycleMean() const {
418
      return static_cast<double>(_best_length) / _best_size;
418
      return static_cast<double>(_best_cost) / _best_size;
419 419
    }
... ...
@@ -443,3 +443,3 @@
443 443
      _best_found = false;
444
      _best_length = 0;
444
      _best_cost = 0;
445 445
      _best_size = 1;
... ...
@@ -494,4 +494,4 @@
494 494
          u = _gr.source(e);
495
          if (_length[e] < _dist[u]) {
496
            _dist[u] = _length[e];
495
          if (_cost[e] < _dist[u]) {
496
            _dist[u] = _cost[e];
497 497
            _policy[u] = e;
... ...
@@ -508,3 +508,3 @@
508 508
      }
509
      LargeValue clength;
509
      LargeCost ccost;
510 510
      int csize;
... ...
@@ -520,6 +520,6 @@
520 520
          // A cycle is found
521
          clength = _length[_policy[u]];
521
          ccost = _cost[_policy[u]];
522 522
          csize = 1;
523 523
          for (v = u; (v = _gr.target(_policy[v])) != u; ) {
524
            clength += _length[_policy[v]];
524
            ccost += _cost[_policy[v]];
525 525
            ++csize;
... ...
@@ -527,5 +527,5 @@
527 527
          if ( !_curr_found ||
528
               (clength * _curr_size < _curr_length * csize) ) {
528
               (ccost * _curr_size < _curr_cost * csize) ) {
529 529
            _curr_found = true;
530
            _curr_length = clength;
530
            _curr_cost = ccost;
531 531
            _curr_size = csize;
... ...
@@ -557,3 +557,3 @@
557 557
            _reached[u] = true;
558
            _dist[u] = _dist[v] + _length[e] * _curr_size - _curr_length;
558
            _dist[u] = _dist[v] + _cost[e] * _curr_size - _curr_cost;
559 559
            _queue[++_qback] = u;
... ...
@@ -574,3 +574,3 @@
574 574
            _policy[u] = e;
575
            _dist[u] = _dist[v] + _length[e] * _curr_size - _curr_length;
575
            _dist[u] = _dist[v] + _cost[e] * _curr_size - _curr_cost;
576 576
            _queue[++_qback] = u;
... ...
@@ -587,3 +587,3 @@
587 587
          u = _gr.source(e);
588
          LargeValue delta = _dist[v] + _length[e] * _curr_size - _curr_length;
588
          LargeCost delta = _dist[v] + _cost[e] * _curr_size - _curr_cost;
589 589
          if (_tolerance.less(delta, _dist[u])) {
... ...
@@ -598,3 +598,3 @@
598 598

	
599
  }; //class Howard
599
  }; //class HowardMmc
600 600

	
... ...
@@ -604,2 +604,2 @@
604 604

	
605
#endif //LEMON_HOWARD_H
605
#endif //LEMON_HOWARD_MMC_H
Ignore white space 6 line context
... ...
@@ -18,4 +18,4 @@
18 18

	
19
#ifndef LEMON_KARP_H
20
#define LEMON_KARP_H
19
#ifndef LEMON_KARP_MMC_H
20
#define LEMON_KARP_MMC_H
21 21

	
... ...
@@ -35,15 +35,15 @@
35 35

	
36
  /// \brief Default traits class of Karp algorithm.
36
  /// \brief Default traits class of KarpMmc class.
37 37
  ///
38
  /// Default traits class of Karp algorithm.
38
  /// Default traits class of KarpMmc class.
39 39
  /// \tparam GR The type of the digraph.
40
  /// \tparam LEN The type of the length map.
40
  /// \tparam CM The type of the cost map.
41 41
  /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
42 42
#ifdef DOXYGEN
43
  template <typename GR, typename LEN>
43
  template <typename GR, typename CM>
44 44
#else
45
  template <typename GR, typename LEN,
46
    bool integer = std::numeric_limits<typename LEN::Value>::is_integer>
45
  template <typename GR, typename CM,
46
    bool integer = std::numeric_limits<typename CM::Value>::is_integer>
47 47
#endif
48
  struct KarpDefaultTraits
48
  struct KarpMmcDefaultTraits
49 49
  {
... ...
@@ -51,17 +51,17 @@
51 51
    typedef GR Digraph;
52
    /// The type of the length map
53
    typedef LEN LengthMap;
54
    /// The type of the arc lengths
55
    typedef typename LengthMap::Value Value;
52
    /// The type of the cost map
53
    typedef CM CostMap;
54
    /// The type of the arc costs
55
    typedef typename CostMap::Value Cost;
56 56

	
57
    /// \brief The large value type used for internal computations
57
    /// \brief The large cost type used for internal computations
58 58
    ///
59
    /// The large value type used for internal computations.
60
    /// It is \c long \c long if the \c Value type is integer,
59
    /// The large cost type used for internal computations.
60
    /// It is \c long \c long if the \c Cost type is integer,
61 61
    /// otherwise it is \c double.
62
    /// \c Value must be convertible to \c LargeValue.
63
    typedef double LargeValue;
62
    /// \c Cost must be convertible to \c LargeCost.
63
    typedef double LargeCost;
64 64

	
65 65
    /// The tolerance type used for internal computations
66
    typedef lemon::Tolerance<LargeValue> Tolerance;
66
    typedef lemon::Tolerance<LargeCost> Tolerance;
67 67

	
... ...
@@ -75,15 +75,15 @@
75 75

	
76
  // Default traits class for integer value types
77
  template <typename GR, typename LEN>
78
  struct KarpDefaultTraits<GR, LEN, true>
76
  // Default traits class for integer cost types
77
  template <typename GR, typename CM>
78
  struct KarpMmcDefaultTraits<GR, CM, true>
79 79
  {
80 80
    typedef GR Digraph;
81
    typedef LEN LengthMap;
82
    typedef typename LengthMap::Value Value;
81
    typedef CM CostMap;
82
    typedef typename CostMap::Value Cost;
83 83
#ifdef LEMON_HAVE_LONG_LONG
84
    typedef long long LargeValue;
84
    typedef long long LargeCost;
85 85
#else
86
    typedef long LargeValue;
86
    typedef long LargeCost;
87 87
#endif
88
    typedef lemon::Tolerance<LargeValue> Tolerance;
88
    typedef lemon::Tolerance<LargeCost> Tolerance;
89 89
    typedef lemon::Path<Digraph> Path;
... ...
@@ -99,3 +99,3 @@
99 99
  /// This class implements Karp's algorithm for finding a directed
100
  /// cycle of minimum mean length (cost) in a digraph
100
  /// cycle of minimum mean cost in a digraph
101 101
  /// \ref amo93networkflows, \ref dasdan98minmeancycle.
... ...
@@ -104,7 +104,7 @@
104 104
  /// \tparam GR The type of the digraph the algorithm runs on.
105
  /// \tparam LEN The type of the length map. The default
105
  /// \tparam CM The type of the cost map. The default
106 106
  /// map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
107 107
  /// \tparam TR The traits class that defines various types used by the
108
  /// algorithm. By default, it is \ref KarpDefaultTraits
109
  /// "KarpDefaultTraits<GR, LEN>".
108
  /// algorithm. By default, it is \ref KarpMmcDefaultTraits
109
  /// "KarpMmcDefaultTraits<GR, CM>".
110 110
  /// In most cases, this parameter should not be set directly,
... ...
@@ -112,9 +112,9 @@
112 112
#ifdef DOXYGEN
113
  template <typename GR, typename LEN, typename TR>
113
  template <typename GR, typename CM, typename TR>
114 114
#else
115 115
  template < typename GR,
116
             typename LEN = typename GR::template ArcMap<int>,
117
             typename TR = KarpDefaultTraits<GR, LEN> >
116
             typename CM = typename GR::template ArcMap<int>,
117
             typename TR = KarpMmcDefaultTraits<GR, CM> >
118 118
#endif
119
  class Karp
119
  class KarpMmc
120 120
  {
... ...
@@ -124,13 +124,13 @@
124 124
    typedef typename TR::Digraph Digraph;
125
    /// The type of the length map
126
    typedef typename TR::LengthMap LengthMap;
127
    /// The type of the arc lengths
128
    typedef typename TR::Value Value;
125
    /// The type of the cost map
126
    typedef typename TR::CostMap CostMap;
127
    /// The type of the arc costs
128
    typedef typename TR::Cost Cost;
129 129

	
130
    /// \brief The large value type
130
    /// \brief The large cost type
131 131
    ///
132
    /// The large value type used for internal computations.
133
    /// By default, it is \c long \c long if the \c Value type is integer,
132
    /// The large cost type used for internal computations.
133
    /// By default, it is \c long \c long if the \c Cost type is integer,
134 134
    /// otherwise it is \c double.
135
    typedef typename TR::LargeValue LargeValue;
135
    typedef typename TR::LargeCost LargeCost;
136 136

	
... ...
@@ -142,3 +142,3 @@
142 142
    /// The path type of the found cycles.
143
    /// Using the \ref KarpDefaultTraits "default traits class",
143
    /// Using the \ref KarpMmcDefaultTraits "default traits class",
144 144
    /// it is \ref lemon::Path "Path<Digraph>".
... ...
@@ -146,3 +146,3 @@
146 146

	
147
    /// The \ref KarpDefaultTraits "traits class" of the algorithm
147
    /// The \ref KarpMmcDefaultTraits "traits class" of the algorithm
148 148
    typedef TR Traits;
... ...
@@ -156,5 +156,5 @@
156 156
    {
157
      LargeValue dist;
157
      LargeCost dist;
158 158
      Arc pred;
159
      PathData(LargeValue d, Arc p = INVALID) :
159
      PathData(LargeCost d, Arc p = INVALID) :
160 160
        dist(d), pred(p) {}
... ...
@@ -169,4 +169,4 @@
169 169
    const Digraph &_gr;
170
    // The length of the arcs
171
    const LengthMap &_length;
170
    // The cost of the arcs
171
    const CostMap &_cost;
172 172

	
... ...
@@ -180,3 +180,3 @@
180 180
    // Data for the found cycle
181
    LargeValue _cycle_length;
181
    LargeCost _cycle_cost;
182 182
    int _cycle_size;
... ...
@@ -195,3 +195,3 @@
195 195
    // Infinite constant
196
    const LargeValue INF;
196
    const LargeCost INF;
197 197

	
... ...
@@ -203,4 +203,4 @@
203 203
    template <typename T>
204
    struct SetLargeValueTraits : public Traits {
205
      typedef T LargeValue;
204
    struct SetLargeCostTraits : public Traits {
205
      typedef T LargeCost;
206 206
      typedef lemon::Tolerance<T> Tolerance;
... ...
@@ -209,10 +209,10 @@
209 209
    /// \brief \ref named-templ-param "Named parameter" for setting
210
    /// \c LargeValue type.
210
    /// \c LargeCost type.
211 211
    ///
212
    /// \ref named-templ-param "Named parameter" for setting \c LargeValue
212
    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
213 213
    /// type. It is used for internal computations in the algorithm.
214 214
    template <typename T>
215
    struct SetLargeValue
216
      : public Karp<GR, LEN, SetLargeValueTraits<T> > {
217
      typedef Karp<GR, LEN, SetLargeValueTraits<T> > Create;
215
    struct SetLargeCost
216
      : public KarpMmc<GR, CM, SetLargeCostTraits<T> > {
217
      typedef KarpMmc<GR, CM, SetLargeCostTraits<T> > Create;
218 218
    };
... ...
@@ -233,4 +233,4 @@
233 233
    struct SetPath
234
      : public Karp<GR, LEN, SetPathTraits<T> > {
235
      typedef Karp<GR, LEN, SetPathTraits<T> > Create;
234
      : public KarpMmc<GR, CM, SetPathTraits<T> > {
235
      typedef KarpMmc<GR, CM, SetPathTraits<T> > Create;
236 236
    };
... ...
@@ -241,3 +241,3 @@
241 241

	
242
    Karp() {}
242
    KarpMmc() {}
243 243

	
... ...
@@ -250,11 +250,11 @@
250 250
    /// \param digraph The digraph the algorithm runs on.
251
    /// \param length The lengths (costs) of the arcs.
252
    Karp( const Digraph &digraph,
253
          const LengthMap &length ) :
254
      _gr(digraph), _length(length), _comp(digraph), _out_arcs(digraph),
255
      _cycle_length(0), _cycle_size(1), _cycle_node(INVALID),
251
    /// \param cost The costs of the arcs.
252
    KarpMmc( const Digraph &digraph,
253
             const CostMap &cost ) :
254
      _gr(digraph), _cost(cost), _comp(digraph), _out_arcs(digraph),
255
      _cycle_cost(0), _cycle_size(1), _cycle_node(INVALID),
256 256
      _cycle_path(NULL), _local_path(false), _data(digraph),
257
      INF(std::numeric_limits<LargeValue>::has_infinity ?
258
          std::numeric_limits<LargeValue>::infinity() :
259
          std::numeric_limits<LargeValue>::max())
257
      INF(std::numeric_limits<LargeCost>::has_infinity ?
258
          std::numeric_limits<LargeCost>::infinity() :
259
          std::numeric_limits<LargeCost>::max())
260 260
    {}
... ...
@@ -262,3 +262,3 @@
262 262
    /// Destructor.
263
    ~Karp() {
263
    ~KarpMmc() {
264 264
      if (_local_path) delete _cycle_path;
... ...
@@ -272,3 +272,3 @@
272 272
    /// If you don't call this function before calling \ref run() or
273
    /// \ref findMinMean(), it will allocate a local \ref Path "path"
273
    /// \ref findCycleMean(), it will allocate a local \ref Path "path"
274 274
    /// structure. The destuctor deallocates this automatically
... ...
@@ -280,3 +280,3 @@
280 280
    /// \return <tt>(*this)</tt>
281
    Karp& cycle(Path &path) {
281
    KarpMmc& cycle(Path &path) {
282 282
      if (_local_path) {
... ...
@@ -294,3 +294,3 @@
294 294
    /// \return <tt>(*this)</tt>
295
    Karp& tolerance(const Tolerance& tolerance) {
295
    KarpMmc& tolerance(const Tolerance& tolerance) {
296 296
      _tolerance = tolerance;
... ...
@@ -310,4 +310,4 @@
310 310
    /// function.\n
311
    /// If you only need the minimum mean length, you may call
312
    /// \ref findMinMean().
311
    /// If you only need the minimum mean cost, you may call
312
    /// \ref findCycleMean().
313 313

	
... ...
@@ -319,3 +319,3 @@
319 319
    /// It can be called more than once (e.g. if the underlying digraph
320
    /// and/or the arc lengths have been modified).
320
    /// and/or the arc costs have been modified).
321 321
    ///
... ...
@@ -325,6 +325,6 @@
325 325
    /// \code
326
    ///   return mmc.findMinMean() && mmc.findCycle();
326
    ///   return mmc.findCycleMean() && mmc.findCycle();
327 327
    /// \endcode
328 328
    bool run() {
329
      return findMinMean() && findCycle();
329
      return findCycleMean() && findCycle();
330 330
    }
... ...
@@ -333,3 +333,3 @@
333 333
    ///
334
    /// This function finds the minimum mean length of the directed
334
    /// This function finds the minimum mean cost of the directed
335 335
    /// cycles in the digraph.
... ...
@@ -337,3 +337,3 @@
337 337
    /// \return \c true if a directed cycle exists in the digraph.
338
    bool findMinMean() {
338
    bool findCycleMean() {
339 339
      // Initialization and find strongly connected components
... ...
@@ -353,4 +353,4 @@
353 353
    ///
354
    /// This function finds a directed cycle of minimum mean length
355
    /// in the digraph using the data computed by findMinMean().
354
    /// This function finds a directed cycle of minimum mean cost
355
    /// in the digraph using the data computed by findCycleMean().
356 356
    ///
... ...
@@ -358,3 +358,3 @@
358 358
    ///
359
    /// \pre \ref findMinMean() must be called before using this function.
359
    /// \pre \ref findCycleMean() must be called before using this function.
360 360
    bool findCycle() {
... ...
@@ -371,3 +371,3 @@
371 371
      _cycle_path->addFront(e);
372
      _cycle_length = _length[e];
372
      _cycle_cost = _cost[e];
373 373
      _cycle_size = 1;
... ...
@@ -377,3 +377,3 @@
377 377
        _cycle_path->addFront(e);
378
        _cycle_length += _length[e];
378
        _cycle_cost += _cost[e];
379 379
        ++_cycle_size;
... ...
@@ -392,10 +392,10 @@
392 392

	
393
    /// \brief Return the total length of the found cycle.
393
    /// \brief Return the total cost of the found cycle.
394 394
    ///
395
    /// This function returns the total length of the found cycle.
395
    /// This function returns the total cost of the found cycle.
396 396
    ///
397
    /// \pre \ref run() or \ref findMinMean() must be called before
397
    /// \pre \ref run() or \ref findCycleMean() must be called before
398 398
    /// using this function.
399
    Value cycleLength() const {
400
      return static_cast<Value>(_cycle_length);
399
    Cost cycleCost() const {
400
      return static_cast<Cost>(_cycle_cost);
401 401
    }
... ...
@@ -406,5 +406,5 @@
406 406
    ///
407
    /// \pre \ref run() or \ref findMinMean() must be called before
407
    /// \pre \ref run() or \ref findCycleMean() must be called before
408 408
    /// using this function.
409
    int cycleArcNum() const {
409
    int cycleSize() const {
410 410
      return _cycle_size;
... ...
@@ -412,5 +412,5 @@
412 412

	
413
    /// \brief Return the mean length of the found cycle.
413
    /// \brief Return the mean cost of the found cycle.
414 414
    ///
415
    /// This function returns the mean length of the found cycle.
415
    /// This function returns the mean cost of the found cycle.
416 416
    ///
... ...
@@ -419,9 +419,9 @@
419 419
    /// \code
420
    ///   return static_cast<double>(alg.cycleLength()) / alg.cycleArcNum();
420
    ///   return static_cast<double>(alg.cycleCost()) / alg.cycleSize();
421 421
    /// \endcode
422 422
    ///
423
    /// \pre \ref run() or \ref findMinMean() must be called before
423
    /// \pre \ref run() or \ref findCycleMean() must be called before
424 424
    /// using this function.
425 425
    double cycleMean() const {
426
      return static_cast<double>(_cycle_length) / _cycle_size;
426
      return static_cast<double>(_cycle_cost) / _cycle_size;
427 427
    }
... ...
@@ -450,3 +450,3 @@
450 450
      _cycle_path->clear();
451
      _cycle_length = 0;
451
      _cycle_cost = 0;
452 452
      _cycle_size = 1;
... ...
@@ -499,3 +499,3 @@
499 499
    // Process all rounds of computing path data for the current component.
500
    // _data[v][k] is the length of a shortest directed walk from the root
500
    // _data[v][k] is the cost of a shortest directed walk from the root
501 501
    // node to node v containing exactly k arcs.
... ...
@@ -521,3 +521,3 @@
521 521
      Arc e;
522
      LargeValue d;
522
      LargeCost d;
523 523
      for (int i = 0; i < int(_process.size()); ++i) {
... ...
@@ -527,3 +527,3 @@
527 527
          v = _gr.target(e);
528
          d = _data[u][k-1].dist + _length[e];
528
          d = _data[u][k-1].dist + _cost[e];
529 529
          if (_tolerance.less(d, _data[v][k].dist)) {
... ...
@@ -541,3 +541,3 @@
541 541
      Arc e;
542
      LargeValue d;
542
      LargeCost d;
543 543
      for (int i = 0; i < int(_nodes->size()); ++i) {
... ...
@@ -547,3 +547,3 @@
547 547
          v = _gr.target(e);
548
          d = _data[u][k-1].dist + _length[e];
548
          d = _data[u][k-1].dist + _cost[e];
549 549
          if (_tolerance.less(d, _data[v][k].dist)) {
... ...
@@ -561,3 +561,3 @@
561 561
        if (_data[u][n].dist == INF) continue;
562
        LargeValue length, max_length = 0;
562
        LargeCost cost, max_cost = 0;
563 563
        int size, max_size = 1;
... ...
@@ -566,7 +566,7 @@
566 566
          if (_data[u][k].dist == INF) continue;
567
          length = _data[u][n].dist - _data[u][k].dist;
567
          cost = _data[u][n].dist - _data[u][k].dist;
568 568
          size = n - k;
569
          if (!found_curr || length * max_size > max_length * size) {
569
          if (!found_curr || cost * max_size > max_cost * size) {
570 570
            found_curr = true;
571
            max_length = length;
571
            max_cost = cost;
572 572
            max_size = size;
... ...
@@ -575,4 +575,4 @@
575 575
        if ( found_curr && (_cycle_node == INVALID ||
576
             max_length * _cycle_size < _cycle_length * max_size) ) {
577
          _cycle_length = max_length;
576
             max_cost * _cycle_size < _cycle_cost * max_size) ) {
577
          _cycle_cost = max_cost;
578 578
          _cycle_size = max_size;
... ...
@@ -583,3 +583,3 @@
583 583

	
584
  }; //class Karp
584
  }; //class KarpMmc
585 585

	
... ...
@@ -589,2 +589,2 @@
589 589

	
590
#endif //LEMON_KARP_H
590
#endif //LEMON_KARP_MMC_H
Ignore white space 6 line context
... ...
@@ -27,5 +27,5 @@
27 27

	
28
#include <lemon/karp.h>
29
#include <lemon/hartmann_orlin.h>
30
#include <lemon/howard.h>
28
#include <lemon/karp_mmc.h>
29
#include <lemon/hartmann_orlin_mmc.h>
30
#include <lemon/howard_mmc.h>
31 31

	
... ...
@@ -65,3 +65,3 @@
65 65
// Check the interface of an MMC algorithm
66
template <typename GR, typename Value>
66
template <typename GR, typename Cost>
67 67
struct MmcClassConcept
... ...
@@ -75,5 +75,5 @@
75 75
        ::template SetPath<ListPath<GR> >
76
        ::template SetLargeValue<Value>
76
        ::template SetLargeCost<Cost>
77 77
        ::Create MmcAlg;
78
      MmcAlg mmc(me.g, me.length);
78
      MmcAlg mmc(me.g, me.cost);
79 79
      const MmcAlg& const_mmc = mmc;
... ...
@@ -84,7 +84,7 @@
84 84
      b = mmc.cycle(p).run();
85
      b = mmc.findMinMean();
85
      b = mmc.findCycleMean();
86 86
      b = mmc.findCycle();
87 87

	
88
      v = const_mmc.cycleLength();
89
      i = const_mmc.cycleArcNum();
88
      v = const_mmc.cycleCost();
89
      i = const_mmc.cycleSize();
90 90
      d = const_mmc.cycleMean();
... ...
@@ -93,8 +93,8 @@
93 93

	
94
    typedef concepts::ReadMap<typename GR::Arc, Value> LM;
94
    typedef concepts::ReadMap<typename GR::Arc, Cost> CM;
95 95
  
96 96
    GR g;
97
    LM length;
97
    CM cost;
98 98
    ListPath<GR> p;
99
    Value v;
99
    Cost v;
100 100
    int i;
... ...
@@ -110,9 +110,9 @@
110 110
                 const SmartDigraph::ArcMap<int>& cm,
111
                 int length, int size) {
111
                 int cost, int size) {
112 112
  MMC alg(gr, lm);
113
  alg.findMinMean();
114
  check(alg.cycleMean() == static_cast<double>(length) / size,
113
  alg.findCycleMean();
114
  check(alg.cycleMean() == static_cast<double>(cost) / size,
115 115
        "Wrong cycle mean");
116 116
  alg.findCycle();
117
  check(alg.cycleLength() == length && alg.cycleArcNum() == size,
117
  check(alg.cycleCost() == cost && alg.cycleSize() == size,
118 118
        "Wrong path");
... ...
@@ -150,24 +150,24 @@
150 150

	
151
    // Karp
151
    // KarpMmc
152 152
    checkConcept< MmcClassConcept<GR, int>,
153
                  Karp<GR, concepts::ReadMap<GR::Arc, int> > >();
153
                  KarpMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
154 154
    checkConcept< MmcClassConcept<GR, float>,
155
                  Karp<GR, concepts::ReadMap<GR::Arc, float> > >();
155
                  KarpMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
156 156
    
157
    // HartmannOrlin
157
    // HartmannOrlinMmc
158 158
    checkConcept< MmcClassConcept<GR, int>,
159
                  HartmannOrlin<GR, concepts::ReadMap<GR::Arc, int> > >();
159
                  HartmannOrlinMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
160 160
    checkConcept< MmcClassConcept<GR, float>,
161
                  HartmannOrlin<GR, concepts::ReadMap<GR::Arc, float> > >();
161
                  HartmannOrlinMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
162 162
    
163
    // Howard
163
    // HowardMmc
164 164
    checkConcept< MmcClassConcept<GR, int>,
165
                  Howard<GR, concepts::ReadMap<GR::Arc, int> > >();
165
                  HowardMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
166 166
    checkConcept< MmcClassConcept<GR, float>,
167
                  Howard<GR, concepts::ReadMap<GR::Arc, float> > >();
167
                  HowardMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
168 168

	
169
    if (IsSameType<Howard<GR, concepts::ReadMap<GR::Arc, int> >::LargeValue,
170
          long_int>::result == 0) check(false, "Wrong LargeValue type");
171
    if (IsSameType<Howard<GR, concepts::ReadMap<GR::Arc, float> >::LargeValue,
172
          double>::result == 0) check(false, "Wrong LargeValue type");
169
    check((IsSameType<HowardMmc<GR, concepts::ReadMap<GR::Arc, int> >
170
           ::LargeCost, long_int>::result == 1), "Wrong LargeCost type");
171
    check((IsSameType<HowardMmc<GR, concepts::ReadMap<GR::Arc, float> >
172
           ::LargeCost, double>::result == 1), "Wrong LargeCost type");
173 173
  }
... ...
@@ -196,18 +196,18 @@
196 196
    // Karp
197
    checkMmcAlg<Karp<GR, IntArcMap> >(gr, l1, c1,  6, 3);
198
    checkMmcAlg<Karp<GR, IntArcMap> >(gr, l2, c2,  5, 2);
199
    checkMmcAlg<Karp<GR, IntArcMap> >(gr, l3, c3,  0, 1);
200
    checkMmcAlg<Karp<GR, IntArcMap> >(gr, l4, c4, -1, 1);
197
    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l1, c1,  6, 3);
198
    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l2, c2,  5, 2);
199
    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l3, c3,  0, 1);
200
    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l4, c4, -1, 1);
201 201

	
202 202
    // HartmannOrlin
203
    checkMmcAlg<HartmannOrlin<GR, IntArcMap> >(gr, l1, c1,  6, 3);
204
    checkMmcAlg<HartmannOrlin<GR, IntArcMap> >(gr, l2, c2,  5, 2);
205
    checkMmcAlg<HartmannOrlin<GR, IntArcMap> >(gr, l3, c3,  0, 1);
206
    checkMmcAlg<HartmannOrlin<GR, IntArcMap> >(gr, l4, c4, -1, 1);
203
    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l1, c1,  6, 3);
204
    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l2, c2,  5, 2);
205
    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l3, c3,  0, 1);
206
    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l4, c4, -1, 1);
207 207

	
208 208
    // Howard
209
    checkMmcAlg<Howard<GR, IntArcMap> >(gr, l1, c1,  6, 3);
210
    checkMmcAlg<Howard<GR, IntArcMap> >(gr, l2, c2,  5, 2);
211
    checkMmcAlg<Howard<GR, IntArcMap> >(gr, l3, c3,  0, 1);
212
    checkMmcAlg<Howard<GR, IntArcMap> >(gr, l4, c4, -1, 1);
209
    checkMmcAlg<HowardMmc<GR, IntArcMap> >(gr, l1, c1,  6, 3);
210
    checkMmcAlg<HowardMmc<GR, IntArcMap> >(gr, l2, c2,  5, 2);
211
    checkMmcAlg<HowardMmc<GR, IntArcMap> >(gr, l3, c3,  0, 1);
212
    checkMmcAlg<HowardMmc<GR, IntArcMap> >(gr, l4, c4, -1, 1);
213 213
  }
0 comments (0 inline)