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@@ -8,48 +8,49 @@ |
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* |
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* Permission to use, modify and distribute this software is granted |
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* provided that this copyright notice appears in all copies. For |
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* precise terms see the accompanying LICENSE file. |
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* |
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* This software is provided "AS IS" with no warranty of any kind, |
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* express or implied, and with no claim as to its suitability for any |
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* purpose. |
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* |
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*/ |
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|
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#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 | 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. |
... | ... |
@@ -76,58 +77,58 @@ |
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 |
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// 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. |
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class ResidualDijkstra |
106 | 110 |
{ |
107 |
typedef typename Digraph::template NodeMap<int> HeapCrossRef; |
|
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typedef BinHeap<Length, HeapCrossRef> Heap; |
|
109 |
|
|
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private: |
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|
112 | 113 |
const Digraph &_graph; |
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const LengthMap &_length; |
114 | 115 |
const FlowMap &_flow; |
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PotentialMap &_pi; |
116 | 117 |
PredMap &_pred; |
117 | 118 |
Node _s; |
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Node _t; |
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|
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PotentialMap _dist; |
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std::vector<Node> _proc_nodes; |
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|
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public: |
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|
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// Constructor |
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ResidualDijkstra(Suurballe &srb) : |
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_graph(srb._graph), _length(srb._length), |
128 | 129 |
_flow(*srb._flow), _pi(*srb._potential), _pred(srb._pred), |
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_s(srb._s), _t(srb._t), _dist(_graph) {} |
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|
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// Run the algorithm and return true if a path is found |
132 | 133 |
// from the source node to the target node. |
133 | 134 |
bool run(int cnt) { |
... | ... |
@@ -257,185 +258,270 @@ |
257 | 258 |
|
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// The digraph the algorithm runs on |
259 | 260 |
const Digraph &_graph; |
260 | 261 |
// The length map |
261 | 262 |
const LengthMap &_length; |
262 | 263 |
|
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// Arc map of the current flow |
264 | 265 |
FlowMap *_flow; |
265 | 266 |
bool _local_flow; |
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// Node map of the current potentials |
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PotentialMap *_potential; |
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bool _local_potential; |
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|
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// The source node |
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Node _s; |
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// The target node |
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Node _t; |
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|
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// Container to store the found paths |
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std::vector<Path> _paths; |
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int _path_num; |
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|
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// The pred arc map |
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PredMap _pred; |
282 |
|
|
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// Data for full init |
|
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PotentialMap *_init_dist; |
|
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PredMap *_init_pred; |
|
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bool _full_init; |
|
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|
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public: |
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|
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/// \brief Constructor. |
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/// |
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/// Constructor. |
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/// |
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/// \param graph The digraph the algorithm runs on. |
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/// \param length The length (cost) values of the arcs. |
290 | 296 |
Suurballe( const Digraph &graph, |
291 | 297 |
const LengthMap &length ) : |
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_graph(graph), _length(length), _flow(0), _local_flow(false), |
293 |
_potential(0), _local_potential(false), _pred(graph) |
|
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_potential(0), _local_potential(false), _pred(graph), |
|
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_init_dist(0), _init_pred(0) |
|
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{} |
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|
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/// Destructor. |
297 | 304 |
~Suurballe() { |
298 | 305 |
if (_local_flow) delete _flow; |
299 | 306 |
if (_local_potential) delete _potential; |
307 |
delete _init_dist; |
|
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delete _init_pred; |
|
300 | 309 |
} |
301 | 310 |
|
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/// \brief Set the flow map. |
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/// |
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/// This function sets the flow map. |
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/// If it is not used before calling \ref run() or \ref init(), |
306 | 315 |
/// an instance will be allocated automatically. The destructor |
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/// deallocates this automatically allocated map, of course. |
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/// |
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/// The found flow contains only 0 and 1 values, since it is the |
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/// union of the found arc-disjoint paths. |
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/// |
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/// \return <tt>(*this)</tt> |
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Suurballe& flowMap(FlowMap &map) { |
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if (_local_flow) { |
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delete _flow; |
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_local_flow = false; |
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} |
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_flow = ↦ |
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return *this; |
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} |
321 | 330 |
|
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/// \brief Set the potential map. |
323 | 332 |
/// |
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/// This function sets the potential map. |
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/// If it is not used before calling \ref run() or \ref init(), |
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/// an instance will be allocated automatically. The destructor |
327 | 336 |
/// deallocates this automatically allocated map, of course. |
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/// |
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/// The node potentials provide the dual solution of the underlying |
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/// \ref min_cost_flow "minimum cost flow problem". |
331 | 340 |
/// |
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/// \return <tt>(*this)</tt> |
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Suurballe& potentialMap(PotentialMap &map) { |
334 | 343 |
if (_local_potential) { |
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delete _potential; |
336 | 345 |
_local_potential = false; |
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} |
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_potential = ↦ |
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return *this; |
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} |
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|
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/// \name Execution Control |
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/// The simplest way to execute the algorithm is to call the run() |
344 |
/// function. |
|
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/// \n |
|
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/// function.\n |
|
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/// If you need to execute the algorithm many times using the same |
|
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/// source node, then you may call fullInit() once and start() |
|
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/// for each target node.\n |
|
346 | 357 |
/// If you only need the flow that is the union of the found |
347 |
/// arc-disjoint paths, you may call |
|
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/// arc-disjoint paths, then you may call findFlow() instead of |
|
359 |
/// start(). |
|
348 | 360 |
|
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/// @{ |
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|
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/// \brief Run the algorithm. |
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/// |
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/// This function runs the algorithm. |
354 | 366 |
/// |
355 | 367 |
/// \param s The source node. |
356 | 368 |
/// \param t The target node. |
357 | 369 |
/// \param k The number of paths to be found. |
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/// |
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/// \return \c k if there are at least \c k arc-disjoint paths from |
360 | 372 |
/// \c s to \c t in the digraph. Otherwise it returns the number of |
361 | 373 |
/// arc-disjoint paths found. |
362 | 374 |
/// |
363 | 375 |
/// \note Apart from the return value, <tt>s.run(s, t, k)</tt> is |
364 | 376 |
/// just a shortcut of the following code. |
365 | 377 |
/// \code |
366 | 378 |
/// s.init(s); |
367 |
/// s.findFlow(t, k); |
|
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/// s.findPaths(); |
|
379 |
/// s.start(t, k); |
|
369 | 380 |
/// \endcode |
370 | 381 |
int run(const Node& s, const Node& t, int k = 2) { |
371 | 382 |
init(s); |
372 |
findFlow(t, k); |
|
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findPaths(); |
|
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start(t, k); |
|
374 | 384 |
return _path_num; |
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} |
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|
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/// \brief Initialize the algorithm. |
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/// |
379 |
/// This function initializes the algorithm. |
|
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/// This function initializes the algorithm with the given source node. |
|
380 | 390 |
/// |
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/// \param s The source node. |
382 | 392 |
void init(const Node& s) { |
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_s = s; |
384 | 394 |
|
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// Initialize maps |
386 | 396 |
if (!_flow) { |
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_flow = new FlowMap(_graph); |
388 | 398 |
_local_flow = true; |
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} |
390 | 400 |
if (!_potential) { |
391 | 401 |
_potential = new PotentialMap(_graph); |
392 | 402 |
_local_potential = true; |
393 | 403 |
} |
394 |
for (ArcIt e(_graph); e != INVALID; ++e) (*_flow)[e] = 0; |
|
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for (NodeIt n(_graph); n != INVALID; ++n) (*_potential)[n] = 0; |
|
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_full_init = false; |
|
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} |
|
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|
|
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/// \brief Initialize the algorithm and perform Dijkstra. |
|
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/// |
|
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/// This function initializes the algorithm and performs a full |
|
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/// Dijkstra search from the given source node. It makes consecutive |
|
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/// executions of \ref start() "start(t, k)" faster, since they |
|
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/// have to perform %Dijkstra only k-1 times. |
|
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/// |
|
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/// This initialization is usually worth using instead of \ref init() |
|
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/// if the algorithm is executed many times using the same source node. |
|
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/// |
|
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/// \param s The source node. |
|
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void fullInit(const Node& s) { |
|
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// Initialize maps |
|
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init(s); |
|
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if (!_init_dist) { |
|
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_init_dist = new PotentialMap(_graph); |
|
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} |
|
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if (!_init_pred) { |
|
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_init_pred = new PredMap(_graph); |
|
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} |
|
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|
|
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// Run a full Dijkstra |
|
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typename Dijkstra<Digraph, LengthMap> |
|
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::template SetStandardHeap<Heap> |
|
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::template SetDistMap<PotentialMap> |
|
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::template SetPredMap<PredMap> |
|
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::Create dijk(_graph, _length); |
|
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dijk.distMap(*_init_dist).predMap(*_init_pred); |
|
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dijk.run(s); |
|
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|
|
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_full_init = true; |
|
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} |
|
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|
|
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/// \brief Execute the algorithm. |
|
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/// |
|
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/// This function executes the algorithm. |
|
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/// |
|
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/// \param t The target node. |
|
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/// \param k The number of paths to be found. |
|
446 |
/// |
|
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/// \return \c k if there are at least \c k arc-disjoint paths from |
|
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/// \c s to \c t in the digraph. Otherwise it returns the number of |
|
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/// arc-disjoint paths found. |
|
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/// |
|
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/// \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); |
|
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/// s.findPaths(); |
|
456 |
/// \endcode |
|
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int start(const Node& t, int k = 2) { |
|
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findFlow(t, k); |
|
459 |
findPaths(); |
|
460 |
return _path_num; |
|
396 | 461 |
} |
397 | 462 |
|
398 | 463 |
/// \brief Execute the algorithm to find an optimal flow. |
399 | 464 |
/// |
400 | 465 |
/// This function executes the successive shortest path algorithm to |
401 | 466 |
/// find a minimum cost flow, which is the union of \c k (or less) |
402 | 467 |
/// arc-disjoint paths. |
403 | 468 |
/// |
404 | 469 |
/// \param t The target node. |
405 | 470 |
/// \param k The number of paths to be found. |
406 | 471 |
/// |
407 | 472 |
/// \return \c k if there are at least \c k arc-disjoint paths from |
408 | 473 |
/// the source node to the given node \c t in the digraph. |
409 | 474 |
/// Otherwise it returns the number of arc-disjoint paths found. |
410 | 475 |
/// |
411 | 476 |
/// \pre \ref init() must be called before using this function. |
412 | 477 |
int findFlow(const Node& t, int k = 2) { |
413 | 478 |
_t = t; |
414 | 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 { |
|
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for (NodeIt n(_graph); n != INVALID; ++n) { |
|
498 |
(*_potential)[n] = 0; |
|
499 |
} |
|
500 |
_path_num = 0; |
|
501 |
} |
|
415 | 502 |
|
416 | 503 |
// Find shortest paths |
417 |
_path_num = 0; |
|
418 | 504 |
while (_path_num < k) { |
419 | 505 |
// Run Dijkstra |
420 | 506 |
if (!dijkstra.run(_path_num)) break; |
421 | 507 |
++_path_num; |
422 | 508 |
|
423 | 509 |
// Set the flow along the found shortest path |
424 | 510 |
Node u = _t; |
425 | 511 |
Arc e; |
426 | 512 |
while ((e = _pred[u]) != INVALID) { |
427 | 513 |
if (u == _graph.target(e)) { |
428 | 514 |
(*_flow)[e] = 1; |
429 | 515 |
u = _graph.source(e); |
430 | 516 |
} else { |
431 | 517 |
(*_flow)[e] = 0; |
432 | 518 |
u = _graph.target(e); |
433 | 519 |
} |
434 | 520 |
} |
435 | 521 |
} |
436 | 522 |
return _path_num; |
437 | 523 |
} |
438 | 524 |
|
439 | 525 |
/// \brief Compute the paths from the flow. |
440 | 526 |
/// |
441 | 527 |
/// This function computes arc-disjoint paths from the found minimum |
... | ... |
@@ -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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