Changeset 1023:e0cef67fe565 in lemon
 Timestamp:
 01/09/11 16:51:14 (13 years ago)
 Branch:
 default
 Phase:
 public
 Files:

 8 edited
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 Unmodified
 Added
 Removed

doc/coding_style.dox
r463 r1023 99 99 \subsection prilocvar Private member variables 100 100 101 Private member variables should start with underscore 101 Private member variables should start with underscore. 102 102 103 103 \code 104 _start_with_underscore s104 _start_with_underscore 105 105 \endcode 106 106 
doc/groups.dox
r999 r1023 407 407 strongly polynomial \ref klein67primal, \ref goldberg89cyclecanceling. 408 408 409 In general NetworkSimplex is the most efficient implementation,410 but in special cases other algorithms could be faster.409 In general, \ref NetworkSimplex and \ref CostScaling are the most efficient 410 implementations, but the other two algorithms could be faster in special cases. 411 411 For example, if the total supply and/or capacities are rather small, 412 CapacityScaling is usually the fastest algorithm (without effective scaling).412 \ref CapacityScaling is usually the fastest algorithm (without effective scaling). 413 413 */ 414 414 … … 472 472 \ref dasdan98minmeancycle. 473 473 474 In practice, the \ref HowardMmc "Howard" algorithm provedto be by far the474 In practice, the \ref HowardMmc "Howard" algorithm turned out to be by far the 475 475 most efficient one, though the best known theoretical bound on its running 476 476 time is exponential. … … 540 540 541 541 /** 542 @defgroup planar Planar ityEmbedding and Drawing542 @defgroup planar Planar Embedding and Drawing 543 543 @ingroup algs 544 544 \brief Algorithms for planarity checking, embedding and drawing 
lemon/capacity_scaling.h
r956 r1023 89 89 /// \warning Both number types must be signed and all input data must 90 90 /// be integer. 91 /// \warning This algorithm does not support negative costs for such92 /// arcs that haveinfinite upper bound.91 /// \warning This algorithm does not support negative costs for 92 /// arcs having infinite upper bound. 93 93 #ifdef DOXYGEN 94 94 template <typename GR, typename V, typename C, typename TR> … … 423 423 /// 424 424 /// Using this function has the same effect as using \ref supplyMap() 425 /// with sucha map in which \c k is assigned to \c s, \c k is425 /// with a map in which \c k is assigned to \c s, \c k is 426 426 /// assigned to \c t and all other nodes have zero supply value. 427 427 /// 
lemon/core.h
r988 r1023 448 448 } 449 449 450 /// Check whether a graph is undirected.450 /// \brief Check whether a graph is undirected. 451 451 /// 452 452 /// This function returns \c true if the given graph is undirected. 
lemon/cost_scaling.h
r956 r1023 98 98 /// "preflow pushrelabel" algorithm for the maximum flow problem. 99 99 /// 100 /// In general, \ref NetworkSimplex and \ref CostScaling are the fastest 101 /// implementations available in LEMON for this problem. 102 /// 100 103 /// Most of the parameters of the problem (except for the digraph) 101 104 /// can be given using separate functions, and the algorithm can be … … 116 119 /// \warning Both number types must be signed and all input data must 117 120 /// be integer. 118 /// \warning This algorithm does not support negative costs for such119 /// arcs that haveinfinite upper bound.121 /// \warning This algorithm does not support negative costs for 122 /// arcs having infinite upper bound. 120 123 /// 121 124 /// \note %CostScaling provides three different internal methods, … … 179 182 /// relabel operation. 180 183 /// By default, the so called \ref PARTIAL_AUGMENT 181 /// "Partial AugmentRelabel" method is used, which provedto be184 /// "Partial AugmentRelabel" method is used, which turned out to be 182 185 /// the most efficient and the most robust on various test inputs. 183 186 /// However, the other methods can be selected using the \ref run() … … 448 451 /// 449 452 /// Using this function has the same effect as using \ref supplyMap() 450 /// with sucha map in which \c k is assigned to \c s, \c k is453 /// with a map in which \c k is assigned to \c s, \c k is 451 454 /// assigned to \c t and all other nodes have zero supply value. 452 455 /// 
lemon/cycle_canceling.h
r956 r1023 68 68 /// \warning Both number types must be signed and all input data must 69 69 /// be integer. 70 /// \warning This algorithm does not support negative costs for such71 /// arcs that haveinfinite upper bound.70 /// \warning This algorithm does not support negative costs for 71 /// arcs having infinite upper bound. 72 72 /// 73 73 /// \note For more information about the three available methods, … … 117 117 /// \ref CycleCanceling provides three different cyclecanceling 118 118 /// methods. By default, \ref CANCEL_AND_TIGHTEN "Cancel and Tighten" 119 /// is used, which proved to be the most efficient and the most robust 120 /// on various test inputs. 119 /// is used, which is by far the most efficient and the most robust. 121 120 /// However, the other methods can be selected using the \ref run() 122 121 /// function with the proper parameter. … … 350 349 /// 351 350 /// Using this function has the same effect as using \ref supplyMap() 352 /// with sucha map in which \c k is assigned to \c s, \c k is351 /// with a map in which \c k is assigned to \c s, \c k is 353 352 /// assigned to \c t and all other nodes have zero supply value. 354 353 /// 
lemon/euler.h
r956 r1023 37 37 ///Euler tour iterator for digraphs. 38 38 39 /// \ingroup graph_prop 39 /// \ingroup graph_properties 40 40 ///This iterator provides an Euler tour (Eulerian circuit) of a \e directed 41 41 ///graph (if there exists) and it converts to the \c Arc type of the digraph. 
lemon/network_simplex.h
r991 r1023 48 48 /// flow problem. 49 49 /// 50 /// In general, %NetworkSimplex is the fastest implementation available51 /// i n LEMON for this problem.52 /// Moreover, it supports both directions of the supply/demand inequality53 /// constraints. For more information, see \ref SupplyType.50 /// In general, \ref NetworkSimplex and \ref CostScaling are the fastest 51 /// implementations available in LEMON for this problem. 52 /// Furthermore, this class supports both directions of the supply/demand 53 /// inequality constraints. For more information, see \ref SupplyType. 54 54 /// 55 55 /// Most of the parameters of the problem (except for the digraph) … … 126 126 /// of the algorithm. 127 127 /// By default, \ref BLOCK_SEARCH "Block Search" is used, which 128 /// provedto be the most efficient and the most robust on various128 /// turend out to be the most efficient and the most robust on various 129 129 /// test inputs. 130 130 /// However, another pivot rule can be selected using the \ref run() … … 168 168 typedef std::vector<Cost> CostVector; 169 169 typedef std::vector<signed char> CharVector; 170 // Note: vector<signed char> is used instead of vector<ArcState> and 170 // Note: vector<signed char> is used instead of vector<ArcState> and 171 171 // vector<ArcDirection> for efficiency reasons 172 172 … … 735 735 /// 736 736 /// \return <tt>(*this)</tt> 737 /// 738 /// \sa supplyType() 737 739 template<typename SupplyMap> 738 740 NetworkSimplex& supplyMap(const SupplyMap& map) { … … 751 753 /// 752 754 /// Using this function has the same effect as using \ref supplyMap() 753 /// with sucha map in which \c k is assigned to \c s, \c k is755 /// with a map in which \c k is assigned to \c s, \c k is 754 756 /// assigned to \c t and all other nodes have zero supply value. 755 757 ///
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