Changes in doc/groups.dox [818:8452ca46e29a:789:8e68671af789] in lemon

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• doc/groups.dox (modified) (8 diffs)

doc/groups.dox

@@ -317 +317 @@
 
 This group contains the common graph search algorithms, namely
-\e breadth-first \e search (BFS) and \e depth-first \e search (DFS)
-\ref clrs01algorithms.
+\e breadth-first \e search (BFS) and \e depth-first \e search (DFS).
 */
 
@@ -326 +325 @@
 \brief Algorithms for finding shortest paths.
 
-This group contains the algorithms for finding shortest paths in digraphs
-\ref clrs01algorithms.
+This group contains the algorithms for finding shortest paths in digraphs.
 
  - \ref Dijkstra algorithm for finding shortest paths from a source node
@@ -349 +347 @@
 
 This group contains the algorithms for finding minimum cost spanning
-trees and arborescences \ref clrs01algorithms.
+trees and arborescences.
 */
 
@@ -358 +356 @@
 
 This group contains the algorithms for finding maximum flows and
-feasible circulations \ref clrs01algorithms, \ref amo93networkflows.
+feasible circulations.
 
 The \e maximum \e flow \e problem is to find a flow of maximum value between
@@ -373 +371 @@
 
 LEMON contains several algorithms for solving maximum flow problems:
-- \ref EdmondsKarp Edmonds-Karp algorithm
-  \ref edmondskarp72theoretical.
-- \ref Preflow Goldberg-Tarjan's preflow push-relabel algorithm
-  \ref goldberg88newapproach.
-- \ref DinitzSleatorTarjan Dinitz's blocking flow algorithm with dynamic trees
-  \ref dinic70algorithm, \ref sleator83dynamic.
-- \ref GoldbergTarjan !Preflow push-relabel algorithm with dynamic trees
-  \ref goldberg88newapproach, \ref sleator83dynamic.
-
-In most cases the \ref Preflow algorithm provides the
+- \ref EdmondsKarp Edmonds-Karp algorithm.
+- \ref Preflow Goldberg-Tarjan's preflow push-relabel algorithm.
+- \ref DinitzSleatorTarjan Dinitz's blocking flow algorithm with dynamic trees.
+- \ref GoldbergTarjan Preflow push-relabel algorithm with dynamic trees.
+
+In most cases the \ref Preflow "Preflow" algorithm provides the
 fastest method for computing a maximum flow. All implementations
 also provide functions to query the minimum cut, which is the dual
@@ -400 +394 @@
 
 This group contains the algorithms for finding minimum cost flows and
-circulations \ref amo93networkflows. For more information about this
-problem and its dual solution, see \ref min_cost_flow
-"Minimum Cost Flow Problem".
+circulations. For more information about this problem and its dual
+solution see \ref min_cost_flow "Minimum Cost Flow Problem".
 
 LEMON contains several algorithms for this problem.
  - \ref NetworkSimplex Primal Network Simplex algorithm with various
-   pivot strategies \ref dantzig63linearprog, \ref kellyoneill91netsimplex.
+   pivot strategies.
  - \ref CostScaling Push-Relabel and Augment-Relabel algorithms based on
-   cost scaling \ref goldberg90approximation, \ref goldberg97efficient,
-   \ref bunnagel98efficient.
+   cost scaling.
  - \ref CapacityScaling Successive Shortest %Path algorithm with optional
-   capacity scaling \ref edmondskarp72theoretical.
- - \ref CancelAndTighten The Cancel and Tighten algorithm
-   \ref goldberg89cyclecanceling.
- - \ref CycleCanceling Cycle-Canceling algorithms
-   \ref klein67primal, \ref goldberg89cyclecanceling.
+   capacity scaling.
+ - \ref CancelAndTighten The Cancel and Tighten algorithm.
+ - \ref CycleCanceling Cycle-Canceling algorithms.
 
 In general NetworkSimplex is the most efficient implementation,
@@ -451 +441 @@
 If you want to find minimum cut just between two distinict nodes,
 see the \ref max_flow "maximum flow problem".
-*/
-
-/**
-@defgroup min_mean_cycle Minimum Mean Cycle Algorithms
-@ingroup algs
-\brief Algorithms for finding minimum mean cycles.
-
-This group contains the algorithms for finding minimum mean cycles
-\ref clrs01algorithms, \ref amo93networkflows.
-
-The \e minimum \e mean \e cycle \e problem is to find a directed cycle
-of minimum mean length (cost) in a digraph.
-The mean length of a cycle is the average length of its arcs, i.e. the
-ratio between the total length of the cycle and the number of arcs on it.
-
-This problem has an important connection to \e conservative \e length
-\e functions, too. A length function on the arcs of a digraph is called
-conservative if and only if there is no directed cycle of negative total
-length. For an arbitrary length function, the negative of the minimum
-cycle mean is the smallest \f$\epsilon\f$ value so that increasing the
-arc lengths uniformly by \f$\epsilon\f$ results in a conservative length
-function.
-
-LEMON contains three algorithms for solving the minimum mean cycle problem:
-- \ref Karp "Karp"'s original algorithm \ref amo93networkflows,
-  \ref dasdan98minmeancycle.
-- \ref HartmannOrlin "Hartmann-Orlin"'s algorithm, which is an improved
-  version of Karp's algorithm \ref dasdan98minmeancycle.
-- \ref Howard "Howard"'s policy iteration algorithm
-  \ref dasdan98minmeancycle.
-
-In practice, the Howard algorithm proved to be by far the most efficient
-one, though the best known theoretical bound on its running time is
-exponential.
-Both Karp and HartmannOrlin algorithms run in time O(ne) and use space
-O(n<sup>2</sup>+e), but the latter one is typically faster due to the
-applied early termination scheme.
 */
 
@@ -582 +535 @@
 
 /**
-@defgroup lp_group LP and MIP Solvers
+@defgroup lp_group Lp and Mip Solvers
 @ingroup gen_opt_group
-\brief LP and MIP solver interfaces for LEMON.
-
-This group contains LP and MIP solver interfaces for LEMON.
-Various LP solvers could be used in the same manner with this
-high-level interface.
-
-The currently supported solvers are \ref glpk, \ref clp, \ref cbc,
-\ref cplex, \ref soplex.
+\brief Lp and Mip solver interfaces for LEMON.
+
+This group contains Lp and Mip solver interfaces for LEMON. The
+various LP solvers could be used in the same manner with this
+interface.
 */