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* (Egervary Research Group on Combinatorial Optimization, EGRES). |
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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_BELLMAN_FORD_H |
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#define LEMON_BELLMAN_FORD_H |
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|
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/// \ingroup shortest_path |
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/// \file |
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/// \brief Bellman-Ford algorithm. |
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|
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#include <lemon/list_graph.h> |
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#include <lemon/bits/path_dump.h> |
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#include <lemon/core.h> |
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#include <lemon/error.h> |
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#include <lemon/maps.h> |
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#include <lemon/tolerance.h> |
|
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#include <lemon/path.h> |
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|
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#include <limits> |
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|
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namespace lemon { |
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|
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/// \brief Default |
|
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/// \brief Default operation traits for the BellmanFord algorithm class. |
|
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/// |
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/// This operation traits class defines all computational operations |
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/// and constants that are used in the Bellman-Ford algorithm. |
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/// The default implementation is based on the \c numeric_limits class. |
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/// If the numeric type does not have infinity value, then the maximum |
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/// value is used as extremal infinity value. |
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/// |
|
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/// \see BellmanFordToleranceOperationTraits |
|
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template < |
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typename V, |
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bool has_inf = std::numeric_limits<V>::has_infinity> |
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struct BellmanFordDefaultOperationTraits { |
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/// \ |
|
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/// \brief Value type for the algorithm. |
|
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typedef V Value; |
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/// \brief Gives back the zero value of the type. |
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static Value zero() { |
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return static_cast<Value>(0); |
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} |
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/// \brief Gives back the positive infinity value of the type. |
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static Value infinity() { |
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return std::numeric_limits<Value>::infinity(); |
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} |
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/// \brief Gives back the sum of the given two elements. |
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static Value plus(const Value& left, const Value& right) { |
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return left + right; |
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} |
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/// \brief Gives back \c true only if the first value is less than |
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/// the second. |
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static bool less(const Value& left, const Value& right) { |
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return left < right; |
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} |
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}; |
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|
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template <typename V> |
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struct BellmanFordDefaultOperationTraits<V, false> { |
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typedef V Value; |
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static Value zero() { |
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return static_cast<Value>(0); |
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} |
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static Value infinity() { |
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return std::numeric_limits<Value>::max(); |
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} |
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static Value plus(const Value& left, const Value& right) { |
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if (left == infinity() || right == infinity()) return infinity(); |
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return left + right; |
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} |
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static bool less(const Value& left, const Value& right) { |
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return left < right; |
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} |
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}; |
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|
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/// \brief Operation traits for the BellmanFord algorithm class |
|
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/// using tolerance. |
|
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/// |
|
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/// This operation traits class defines all computational operations |
|
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/// and constants that are used in the Bellman-Ford algorithm. |
|
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/// The only difference between this implementation and |
|
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/// \ref BellmanFordDefaultOperationTraits is that this class uses |
|
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/// the \ref Tolerance "tolerance technique" in its \ref less() |
|
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/// function. |
|
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/// |
|
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/// \tparam V The value type. |
|
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/// \tparam eps The epsilon value for the \ref less() function. |
|
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/// By default, it is the epsilon value used by \ref Tolerance |
|
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/// "Tolerance<V>". |
|
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/// |
|
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/// \see BellmanFordDefaultOperationTraits |
|
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#ifdef DOXYGEN |
|
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template <typename V, V eps> |
|
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#else |
|
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template < |
|
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typename V, |
|
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V eps = Tolerance<V>::def_epsilon> |
|
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#endif |
|
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struct BellmanFordToleranceOperationTraits { |
|
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/// \brief Value type for the algorithm. |
|
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typedef V Value; |
|
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/// \brief Gives back the zero value of the type. |
|
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static Value zero() { |
|
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return static_cast<Value>(0); |
|
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} |
|
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/// \brief Gives back the positive infinity value of the type. |
|
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static Value infinity() { |
|
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return std::numeric_limits<Value>::infinity(); |
|
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} |
|
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/// \brief Gives back the sum of the given two elements. |
|
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static Value plus(const Value& left, const Value& right) { |
|
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return left + right; |
|
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} |
|
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/// \brief Gives back \c true only if the first value is less than |
|
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/// the second. |
|
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static bool less(const Value& left, const Value& right) { |
|
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return left + eps < right; |
|
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} |
|
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}; |
|
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|
|
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/// \brief Default traits class of BellmanFord class. |
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/// |
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/// Default traits class of BellmanFord class. |
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/// \param GR The type of the digraph. |
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/// \param LEN The type of the length map. |
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template<typename GR, typename LEN> |
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struct BellmanFordDefaultTraits { |
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/// The type of the digraph the algorithm runs on. |
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typedef GR Digraph; |
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|
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/// \brief The type of the map that stores the arc lengths. |
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/// |
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/// The type of the map that stores the arc lengths. |
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/// It must conform to the \ref concepts::ReadMap "ReadMap" concept. |
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typedef LEN LengthMap; |
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|
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/// The type of the arc lengths. |
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typedef typename LEN::Value Value; |
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|
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/// \brief Operation traits for Bellman-Ford algorithm. |
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/// |
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/// It defines the used operations and the infinity value for the |
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/// given \c Value type. |
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/// \see BellmanFordDefaultOperationTraits |
|
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/// \see BellmanFordDefaultOperationTraits, |
|
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/// BellmanFordToleranceOperationTraits |
|
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typedef BellmanFordDefaultOperationTraits<Value> OperationTraits; |
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|
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/// \brief The type of the map that stores the last arcs of the |
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/// shortest paths. |
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/// |
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/// The type of the map that stores the last |
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/// arcs of the shortest paths. |
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/// It must conform to the \ref concepts::WriteMap "WriteMap" concept. |
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typedef typename GR::template NodeMap<typename GR::Arc> PredMap; |
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|
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/// \brief Instantiates a \c PredMap. |
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/// |
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/// This function instantiates a \ref PredMap. |
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/// \param g is the digraph to which we would like to define the |
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/// \ref PredMap. |
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static PredMap *createPredMap(const GR& g) { |
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return new PredMap(g); |
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} |
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|
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/// \brief The type of the map that stores the distances of the nodes. |
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/// |
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/// The type of the map that stores the distances of the nodes. |
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/// It must conform to the \ref concepts::WriteMap "WriteMap" concept. |
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typedef typename GR::template NodeMap<typename LEN::Value> DistMap; |
... | ... |
@@ -816,49 +865,50 @@ |
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|
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/// \brief Default traits class of bellmanFord() function. |
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/// |
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/// Default traits class of bellmanFord() function. |
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/// \tparam GR The type of the digraph. |
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/// \tparam LEN The type of the length map. |
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template <typename GR, typename LEN> |
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struct BellmanFordWizardDefaultTraits { |
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/// The type of the digraph the algorithm runs on. |
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typedef GR Digraph; |
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|
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/// \brief The type of the map that stores the arc lengths. |
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/// |
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/// The type of the map that stores the arc lengths. |
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/// It must meet the \ref concepts::ReadMap "ReadMap" concept. |
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typedef LEN LengthMap; |
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|
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/// The type of the arc lengths. |
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typedef typename LEN::Value Value; |
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|
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/// \brief Operation traits for Bellman-Ford algorithm. |
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/// |
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/// It defines the used operations and the infinity value for the |
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/// given \c Value type. |
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/// \see BellmanFordDefaultOperationTraits |
|
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/// \see BellmanFordDefaultOperationTraits, |
|
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/// BellmanFordToleranceOperationTraits |
|
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typedef BellmanFordDefaultOperationTraits<Value> OperationTraits; |
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|
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/// \brief The type of the map that stores the last |
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/// arcs of the shortest paths. |
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/// |
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/// The type of the map that stores the last arcs of the shortest paths. |
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/// It must conform to the \ref concepts::WriteMap "WriteMap" concept. |
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typedef typename GR::template NodeMap<typename GR::Arc> PredMap; |
849 | 899 |
|
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/// \brief Instantiates a \c PredMap. |
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/// |
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/// This function instantiates a \ref PredMap. |
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/// \param g is the digraph to which we would like to define the |
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/// \ref PredMap. |
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static PredMap *createPredMap(const GR &g) { |
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return new PredMap(g); |
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} |
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|
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/// \brief The type of the map that stores the distances of the nodes. |
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/// |
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/// The type of the map that stores the distances of the nodes. |
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/// It must conform to the \ref concepts::WriteMap "WriteMap" concept. |
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typedef typename GR::template NodeMap<Value> DistMap; |
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... | ... |
@@ -83,48 +83,49 @@ |
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bf_test.addSource(s); |
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bf_test.addSource(s, 1); |
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b = bf_test.processNextRound(); |
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b = bf_test.processNextWeakRound(); |
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|
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bf_test.start(); |
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bf_test.checkedStart(); |
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bf_test.limitedStart(k); |
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|
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l = const_bf_test.dist(t); |
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e = const_bf_test.predArc(t); |
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s = const_bf_test.predNode(t); |
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b = const_bf_test.reached(t); |
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d = const_bf_test.distMap(); |
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p = const_bf_test.predMap(); |
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pp = const_bf_test.path(t); |
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pp = const_bf_test.negativeCycle(); |
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|
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for (BF::ActiveIt it(const_bf_test); it != INVALID; ++it) {} |
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} |
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{ |
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BF::SetPredMap<concepts::ReadWriteMap<Node,Arc> > |
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::SetDistMap<concepts::ReadWriteMap<Node,Value> > |
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::SetOperationTraits<BellmanFordDefaultOperationTraits<Value> > |
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::SetOperationTraits<BellmanFordToleranceOperationTraits<Value, 0> > |
|
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::Create bf_test(gr,length); |
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|
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LengthMap length_map; |
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concepts::ReadWriteMap<Node,Arc> pred_map; |
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concepts::ReadWriteMap<Node,Value> dist_map; |
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|
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bf_test |
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.lengthMap(length_map) |
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.predMap(pred_map) |
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.distMap(dist_map); |
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|
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bf_test.run(s); |
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bf_test.run(s,k); |
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|
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bf_test.init(); |
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bf_test.addSource(s); |
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bf_test.addSource(s, 1); |
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b = bf_test.processNextRound(); |
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b = bf_test.processNextWeakRound(); |
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|
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bf_test.start(); |
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bf_test.checkedStart(); |
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bf_test.limitedStart(k); |
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|
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