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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

No coin nor oath required. For personal study only.

✦ 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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Augmenting Undirected Edge Connectivity
✍ András A Benczúr; David R Karger 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 218 KB

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.