The problem of finding a minimum augmenting edge-set to make a graph k-vertex connected is considered. This problem is denoted as the minimum k-augmentation problem. For weighted graphs, the minimum k-augmentation problem is NP-complete. Our main result is an approximation algorithm with a performan
A Static 2-Approximation Algorithm for Vertex Connectivity and Incremental Approximation Algorithms for Edge and Vertex Connectivity
β Scribed by Monika Rauch Henzinger
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 329 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0196-6774
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β¦ Synopsis
This paper presents insertions-only algorithms for maintaining the exact andror approximate size of the minimum edge cut and the minimum vertex cut of a graph.
Ε½ . The algorithms output the approximate or exact size k in time O 1 and a cut of size k in time linear in its size. For the minimum edge cut problem and for any
for a 1 q β -approximation, and O log n for the exact size, where n is the number of nodes in the graph and is the size of the minimum Ε½ . cut. The 2 q β -approximation algorithm and the exact algorithm are determinis-Ε½ . tic; the 1 q β -approximation algorithm is randomized. We also present a static 2-approximation algorithm for the size of the minimum vertex cut in a graph, ' Ε½ Ε½ . . which takes time O n min n , . This is a factor of faster than the best Ε½Ε½ 3 algorithm for computing the exact size, which takes time O n q 2 ' . Ε½ .. Ε½ . n min n , . We give an insertions-only algorithm for maintaining a 2 q β -Ε½ . approximation of the minimum vertex cut with amortized insertion time O nrβ .
π SIMILAR VOLUMES
The problem of finding a minimum weight k-vertex connected spanning sub-Ε½ . graph in a graph G s V, E is considered. For k G 2, this problem is known to be NP-hard. Combining properties of inclusion-minimal k-vertex connected graphs Ε½ and of k-out-connected graphs i.e., graphs which contain a vertex
The problem of finding a minimum weight k-vertex connected spanning sub-Ε½ . graph in a graph G s V, E is considered. For k G 2, this problem is known to be NP-hard. Based on the paper of Auletta, Dinitz, Nutov, and Parente in this issue, Γ 4 we derive a 3-approximation algorithm for k g 4, 5 . This
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