Changeset 879:25804ef35064 in lemon
- Timestamp:
- 11/12/09 23:52:51 (15 years ago)
- Branch:
- default
- Phase:
- public
- Rebase:
- 65336539373836373466333030303164666633626635373132396336363436646237366435313232
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
-
doc/groups.dox
r818 r879 407 407 - \ref NetworkSimplex Primal Network Simplex algorithm with various 408 408 pivot strategies \ref dantzig63linearprog, \ref kellyoneill91netsimplex. 409 - \ref CostScaling Push-Relabel and Augment-Relabel algorithms based on410 cost scaling\ref goldberg90approximation, \ref goldberg97efficient,409 - \ref CostScaling Cost Scaling algorithm based on push/augment and 410 relabel operations \ref goldberg90approximation, \ref goldberg97efficient, 411 411 \ref bunnagel98efficient. 412 - \ref CapacityScaling Successive Shortest %Path algorithm with optional 413 capacity scaling \ref edmondskarp72theoretical. 414 - \ref CancelAndTighten The Cancel and Tighten algorithm 415 \ref goldberg89cyclecanceling. 416 - \ref CycleCanceling Cycle-Canceling algorithms 417 \ref klein67primal, \ref goldberg89cyclecanceling. 412 - \ref CapacityScaling Capacity Scaling algorithm based on the successive 413 shortest path method \ref edmondskarp72theoretical. 414 - \ref CycleCanceling Cycle-Canceling algorithms, two of which are 415 strongly polynomial \ref klein67primal, \ref goldberg89cyclecanceling. 418 416 419 417 In general NetworkSimplex is the most efficient implementation, -
lemon/capacity_scaling.h
r878 r879 67 67 /// \ref CapacityScaling implements the capacity scaling version 68 68 /// of the successive shortest path algorithm for finding a 69 /// \ref min_cost_flow "minimum cost flow". It is an efficient dual 69 /// \ref min_cost_flow "minimum cost flow" \ref amo93networkflows, 70 /// \ref edmondskarp72theoretical. It is an efficient dual 70 71 /// solution method. 71 72 /// -
lemon/cost_scaling.h
r878 r879 91 91 /// 92 92 /// \ref CostScaling implements a cost scaling algorithm that performs 93 /// push/augment and relabel operations for finding a minimum cost 94 /// flow. It is an efficient primal-dual solution method, which 93 /// push/augment and relabel operations for finding a \ref min_cost_flow 94 /// "minimum cost flow" \ref amo93networkflows, \ref goldberg90approximation, 95 /// \ref goldberg97efficient, \ref bunnagel98efficient. 96 /// It is a highly efficient primal-dual solution method, which 95 97 /// can be viewed as the generalization of the \ref Preflow 96 98 /// "preflow push-relabel" algorithm for the maximum flow problem.
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