Euler tour iterator.
2 * lemon/floyd_warshall.h - Part of LEMON, a generic C++ optimization library
4 * Copyright (C) 2005 Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
5 * (Egervary Research Group on Combinatorial Optimization, EGRES).
7 * Permission to use, modify and distribute this software is granted
8 * provided that this copyright notice appears in all copies. For
9 * precise terms see the accompanying LICENSE file.
11 * This software is provided "AS IS" with no warranty of any kind,
12 * express or implied, and with no claim as to its suitability for any
17 #ifndef LEMON_FLOYD_WARSHALL_H
18 #define LEMON_FLOYD_WARSHALL_H
22 /// \brief FloydWarshall algorithm.
24 /// \todo getPath() should be implemented! (also for BFS and DFS)
26 #include <lemon/list_graph.h>
27 #include <lemon/graph_utils.h>
28 #include <lemon/invalid.h>
29 #include <lemon/error.h>
30 #include <lemon/matrix_maps.h>
31 #include <lemon/maps.h>
37 /// \brief Default OperationTraits for the FloydWarshall algorithm class.
39 /// It defines all computational operations and constants which are
40 /// used in the Floyd-Warshall algorithm. The default implementation
41 /// is based on the numeric_limits class. If the numeric type does not
42 /// have infinity value then the maximum value is used as extremal
46 bool has_infinity = std::numeric_limits<Value>::has_infinity>
47 struct FloydWarshallDefaultOperationTraits {
48 /// \brief Gives back the zero value of the type.
50 return static_cast<Value>(0);
52 /// \brief Gives back the positive infinity value of the type.
53 static Value infinity() {
54 return std::numeric_limits<Value>::infinity();
56 /// \brief Gives back the sum of the given two elements.
57 static Value plus(const Value& left, const Value& right) {
60 /// \brief Gives back true only if the first value less than the second.
61 static bool less(const Value& left, const Value& right) {
66 template <typename Value>
67 struct FloydWarshallDefaultOperationTraits<Value, false> {
69 return static_cast<Value>(0);
71 static Value infinity() {
72 return std::numeric_limits<Value>::max();
74 static Value plus(const Value& left, const Value& right) {
75 if (left == infinity() || right == infinity()) return infinity();
78 static bool less(const Value& left, const Value& right) {
83 /// \brief Default traits class of FloydWarshall class.
85 /// Default traits class of FloydWarshall class.
86 /// \param _Graph Graph type.
87 /// \param _LegthMap Type of length map.
88 template<class _Graph, class _LengthMap>
89 struct FloydWarshallDefaultTraits {
90 /// The graph type the algorithm runs on.
93 /// \brief The type of the map that stores the edge lengths.
95 /// The type of the map that stores the edge lengths.
96 /// It must meet the \ref concept::ReadMap "ReadMap" concept.
97 typedef _LengthMap LengthMap;
99 // The type of the length of the edges.
100 typedef typename _LengthMap::Value Value;
102 /// \brief Operation traits for belmann-ford algorithm.
104 /// It defines the infinity type on the given Value type
105 /// and the used operation.
106 /// \see FloydWarshallDefaultOperationTraits
107 typedef FloydWarshallDefaultOperationTraits<Value> OperationTraits;
109 /// \brief The type of the matrix map that stores the last edges of the
112 /// The type of the map that stores the last edges of the shortest paths.
113 /// It must be a matrix map with \c Graph::Edge value type.
115 typedef DynamicMatrixMap<Graph, typename Graph::Node,
116 typename Graph::Edge> PredMap;
118 /// \brief Instantiates a PredMap.
120 /// This function instantiates a \ref PredMap.
121 /// \param G is the graph, to which we would like to define the PredMap.
122 /// \todo The graph alone may be insufficient for the initialization
123 static PredMap *createPredMap(const _Graph& graph) {
124 return new PredMap(graph);
127 /// \brief The type of the map that stores the dists of the nodes.
129 /// The type of the map that stores the dists of the nodes.
130 /// It must meet the \ref concept::WriteMatrixMap "WriteMatrixMap" concept.
132 typedef DynamicMatrixMap<Graph, typename Graph::Node, Value> DistMap;
134 /// \brief Instantiates a DistMap.
136 /// This function instantiates a \ref DistMap.
137 /// \param G is the graph, to which we would like to define the
139 static DistMap *createDistMap(const _Graph& graph) {
140 return new DistMap(graph);
145 /// \brief FloydWarshall algorithm class.
147 /// \ingroup flowalgs
148 /// This class provides an efficient implementation of \c FloydWarshall
149 /// algorithm. The edge lengths are passed to the algorithm using a
150 /// \ref concept::ReadMap "ReadMap", so it is easy to change it to any
153 /// The algorithm solves the shortest path problem for each pairs
154 /// of node when the edges can have negative length but the graph should
155 /// not contain circle with negative sum of length. If we can assume
156 /// that all edge is non-negative in the graph then the dijkstra algorithm
157 /// should be used from each node rather and if the graph is sparse and
158 /// there are negative circles then the johson algorithm.
160 /// The complexity of this algorithm is O(n^3 + e).
162 /// The type of the length is determined by the
163 /// \ref concept::ReadMap::Value "Value" of the length map.
165 /// \param _Graph The graph type the algorithm runs on. The default value
166 /// is \ref ListGraph. The value of _Graph is not used directly by
167 /// FloydWarshall, it is only passed to \ref FloydWarshallDefaultTraits.
168 /// \param _LengthMap This read-only EdgeMap determines the lengths of the
169 /// edges. It is read once for each edge, so the map may involve in
170 /// relatively time consuming process to compute the edge length if
171 /// it is necessary. The default map type is \ref
172 /// concept::StaticGraph::EdgeMap "Graph::EdgeMap<int>". The value
173 /// of _LengthMap is not used directly by FloydWarshall, it is only passed
174 /// to \ref FloydWarshallDefaultTraits. \param _Traits Traits class to set
175 /// various data types used by the algorithm. The default traits
176 /// class is \ref FloydWarshallDefaultTraits
177 /// "FloydWarshallDefaultTraits<_Graph,_LengthMap>". See \ref
178 /// FloydWarshallDefaultTraits for the documentation of a FloydWarshall
181 /// \author Balazs Dezso
184 template <typename _Graph, typename _LengthMap typename _Traits >
186 template <typename _Graph=ListGraph,
187 typename _LengthMap=typename _Graph::template EdgeMap<int>,
188 typename _Traits=FloydWarshallDefaultTraits<_Graph,_LengthMap> >
190 class FloydWarshall {
193 /// \brief \ref Exception for uninitialized parameters.
195 /// This error represents problems in the initialization
196 /// of the parameters of the algorithms.
198 class UninitializedParameter : public lemon::UninitializedParameter {
200 virtual const char* exceptionName() const {
201 return "lemon::FloydWarshall::UninitializedParameter";
205 typedef _Traits Traits;
206 ///The type of the underlying graph.
207 typedef typename _Traits::Graph Graph;
209 typedef typename Graph::Node Node;
210 typedef typename Graph::NodeIt NodeIt;
211 typedef typename Graph::Edge Edge;
212 typedef typename Graph::EdgeIt EdgeIt;
214 /// \brief The type of the length of the edges.
215 typedef typename _Traits::LengthMap::Value Value;
216 /// \brief The type of the map that stores the edge lengths.
217 typedef typename _Traits::LengthMap LengthMap;
218 /// \brief The type of the map that stores the last
219 /// edges of the shortest paths. The type of the PredMap
220 /// is a matrix map for Edges
221 typedef typename _Traits::PredMap PredMap;
222 /// \brief The type of the map that stores the dists of the nodes.
223 /// The type of the DistMap is a matrix map for Values
224 typedef typename _Traits::DistMap DistMap;
225 /// \brief The operation traits.
226 typedef typename _Traits::OperationTraits OperationTraits;
228 /// Pointer to the underlying graph.
230 /// Pointer to the length map
231 const LengthMap *length;
232 ///Pointer to the map of predecessors edges.
234 ///Indicates if \ref _pred is locally allocated (\c true) or not.
236 ///Pointer to the map of distances.
238 ///Indicates if \ref _dist is locally allocated (\c true) or not.
241 /// Creates the maps if necessary.
245 _pred = Traits::createPredMap(*graph);
249 _dist = Traits::createDistMap(*graph);
255 /// \name Named template parameters
260 struct DefPredMapTraits : public Traits {
262 static PredMap *createPredMap(const Graph& graph) {
263 throw UninitializedParameter();
267 /// \brief \ref named-templ-param "Named parameter" for setting PredMap
269 /// \ref named-templ-param "Named parameter" for setting PredMap type
273 : public FloydWarshall< Graph, LengthMap, DefPredMapTraits<T> > {
274 typedef FloydWarshall< Graph, LengthMap, DefPredMapTraits<T> > Create;
278 struct DefDistMapTraits : public Traits {
280 static DistMap *createDistMap(const Graph& graph) {
281 throw UninitializedParameter();
284 /// \brief \ref named-templ-param "Named parameter" for setting DistMap
287 /// \ref named-templ-param "Named parameter" for setting DistMap type
291 : public FloydWarshall< Graph, LengthMap, DefDistMapTraits<T> > {
292 typedef FloydWarshall< Graph, LengthMap, DefDistMapTraits<T> > Create;
296 struct DefOperationTraitsTraits : public Traits {
297 typedef T OperationTraits;
300 /// \brief \ref named-templ-param "Named parameter" for setting
301 /// OperationTraits type
303 /// \ref named-templ-param "Named parameter" for setting PredMap type
305 struct DefOperationTraits
306 : public FloydWarshall< Graph, LengthMap, DefOperationTraitsTraits<T> > {
307 typedef FloydWarshall< Graph, LengthMap, DefOperationTraitsTraits<T> >
319 typedef FloydWarshall Create;
321 /// \brief Constructor.
323 /// \param _graph the graph the algorithm will run on.
324 /// \param _length the length map used by the algorithm.
325 FloydWarshall(const Graph& _graph, const LengthMap& _length) :
326 graph(&_graph), length(&_length),
327 _pred(0), local_pred(false),
328 _dist(0), local_dist(false) {}
332 if(local_pred) delete _pred;
333 if(local_dist) delete _dist;
336 /// \brief Sets the length map.
338 /// Sets the length map.
339 /// \return \c (*this)
340 FloydWarshall &lengthMap(const LengthMap &m) {
345 /// \brief Sets the map storing the predecessor edges.
347 /// Sets the map storing the predecessor edges.
348 /// If you don't use this function before calling \ref run(),
349 /// it will allocate one. The destuctor deallocates this
350 /// automatically allocated map, of course.
351 /// \return \c (*this)
352 FloydWarshall &predMap(PredMap &m) {
361 /// \brief Sets the map storing the distances calculated by the algorithm.
363 /// Sets the map storing the distances calculated by the algorithm.
364 /// If you don't use this function before calling \ref run(),
365 /// it will allocate one. The destuctor deallocates this
366 /// automatically allocated map, of course.
367 /// \return \c (*this)
368 FloydWarshall &distMap(DistMap &m) {
377 ///\name Execution control
378 /// The simplest way to execute the algorithm is to use
379 /// one of the member functions called \c run(...).
381 /// If you need more control on the execution,
382 /// Finally \ref start() will perform the actual path
387 /// \brief Initializes the internal data structures.
389 /// Initializes the internal data structures.
392 for (NodeIt it(*graph); it != INVALID; ++it) {
393 for (NodeIt jt(*graph); jt != INVALID; ++jt) {
394 _pred->set(it, jt, INVALID);
395 _dist->set(it, jt, it == jt ?
396 OperationTraits::zero() : OperationTraits::infinity());
399 for (EdgeIt it(*graph); it != INVALID; ++it) {
400 Node source = graph->source(it);
401 Node target = graph->target(it);
402 if (OperationTraits::less((*length)[it], (*_dist)(source, target))) {
403 _dist->set(source, target, (*length)[it]);
404 _pred->set(source, target, it);
409 /// \brief Executes the algorithm.
411 /// This method runs the %FloydWarshall algorithm in order to compute
412 /// the shortest path to each node pairs. The algorithm
414 /// - The shortest path tree for each node.
415 /// - The distance between each node pairs.
417 for (NodeIt kt(*graph); kt != INVALID; ++kt) {
418 for (NodeIt it(*graph); it != INVALID; ++it) {
419 for (NodeIt jt(*graph); jt != INVALID; ++jt) {
420 Value relaxed = OperationTraits::plus((*_dist)(it, kt),
422 if (OperationTraits::less(relaxed, (*_dist)(it, jt))) {
423 _dist->set(it, jt, relaxed);
424 _pred->set(it, jt, (*_pred)(kt, jt));
431 /// \brief Runs %FloydWarshall algorithm.
433 /// This method runs the %FloydWarshall algorithm from a each node
434 /// in order to compute the shortest path to each node pairs.
435 /// The algorithm computes
436 /// - The shortest path tree for each node.
437 /// - The distance between each node pairs.
439 /// \note d.run(s) is just a shortcut of the following code.
451 /// \name Query Functions
452 /// The result of the %FloydWarshall algorithm can be obtained using these
454 /// Before the use of these functions,
455 /// either run() or start() must be called.
459 /// \brief Copies the shortest path to \c t into \c p
461 /// This function copies the shortest path to \c t into \c p.
462 /// If it \c t is a source itself or unreachable, then it does not
464 /// \todo Is it the right way to handle unreachable nodes?
465 /// \return Returns \c true if a path to \c t was actually copied to \c p,
466 /// \c false otherwise.
468 template <typename Path>
469 bool getPath(Path &p, Node source, Node target) {
470 if (connected(source, target)) {
472 typename Path::Builder b(target);
473 for(b.setStartNode(target); pred(source, target) != INVALID;
474 target = predNode(target)) {
475 b.pushFront(pred(source, target));
483 /// \brief The distance between two nodes.
485 /// Returns the distance between two nodes.
486 /// \pre \ref run() must be called before using this function.
487 /// \warning If node \c v in unreachable from the root the return value
488 /// of this funcion is undefined.
489 Value dist(Node source, Node target) const {
490 return (*_dist)(source, target);
493 /// \brief Returns the 'previous edge' of the shortest path tree.
495 /// For the node \c node it returns the 'previous edge' of the shortest
496 /// path tree to direction of the node \c root
497 /// i.e. it returns the last edge of a shortest path from the node \c root
498 /// to \c node. It is \ref INVALID if \c node is unreachable from the root
499 /// or if \c node=root. The shortest path tree used here is equal to the
500 /// shortest path tree used in \ref predNode().
501 /// \pre \ref run() must be called before using this function.
502 /// \todo predEdge could be a better name.
503 Edge pred(Node root, Node node) const {
504 return (*_pred)(root, node);
507 /// \brief Returns the 'previous node' of the shortest path tree.
509 /// For a node \c node it returns the 'previous node' of the shortest path
510 /// tree to direction of the node \c root, i.e. it returns the last but
511 /// one node from a shortest path from the \c root to \c node. It is
512 /// INVALID if \c node is unreachable from the root or if \c node=root.
513 /// The shortest path tree used here is equal to the
514 /// shortest path tree used in \ref pred().
515 /// \pre \ref run() must be called before using this function.
516 Node predNode(Node root, Node node) const {
517 return (*_pred)(root, node) == INVALID ?
518 INVALID : graph->source((*_pred)(root, node));
521 /// \brief Returns a reference to the matrix node map of distances.
523 /// Returns a reference to the matrix node map of distances.
525 /// \pre \ref run() must be called before using this function.
526 const DistMap &distMap() const { return *_dist;}
528 /// \brief Returns a reference to the shortest path tree map.
530 /// Returns a reference to the matrix node map of the edges of the
531 /// shortest path tree.
532 /// \pre \ref run() must be called before using this function.
533 const PredMap &predMap() const { return *_pred;}
535 /// \brief Checks if a node is reachable from the root.
537 /// Returns \c true if \c v is reachable from the root.
538 /// \pre \ref run() must be called before using this function.
540 bool connected(Node source, Node target) {
541 return (*_dist)(source, target) != OperationTraits::infinity();
547 } //END OF NAMESPACE LEMON