We give improved randomized Monte Carlo algorithms for undirected edge splitting and edge connectivity augmentation problems. Our algorithms run in time ˜2 Ž . Ž . O n on n-vertex graphs, making them an ⍀ mrn factor faster than the best known deterministic ones on m-edge graphs.
Augmenting Edge-Connectivity over the Entire Range inÕ(nm) Time
✍ Scribed by Hiroshi Nagamochi; Toshihide Ibaraki
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 420 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0196-6774
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✦ Synopsis
For a given undirected graph G s V, E, c with edges weighted by nonnega-G q Ž . tive reals c : E ª R , let ⌳ k stand for the minimum amount of weights which G G U Ž . needs to be added to make G k-edge-connected, and let G k be the resulting graph obtained from G. This paper first shows that function ⌳ over the entire G w
x Ž 2 . range k g 0, qϱ can be computed in O nm q n log n time, and then shows U Ž . Ž . that all G k in the entire range can be obtained from O n log n weighted Ž 2 . cycles, and such cycles can be computed in O nm q n log n time, where n and m are the numbers of vertices and edges, respectively.
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