Approximation algorithms for minimum-cost k-vertex connected subgraphs
Proceedings of the thiry-fourth annual ACM symposium on Theory of computing, 2002•dl.acm.org
(MATH) We present two new algorithms for the problem of finding a minimum-cost k-vertex
connected spanning subgraph. The first algorithm works on undirected graphs with at least
6k2 vertices and achieves an approximation factor of 6 times the k th harmonic number,
which is O(\logk). The second algorithm works on directed and undirected graphs. It gives an
O(n/\keps)-approximation algorithm for any \keps>0 and k≤(1-\keps)n. The latter algorithm
also extends to other problems in network design with vertex connectivity requirements. Our …
connected spanning subgraph. The first algorithm works on undirected graphs with at least
6k2 vertices and achieves an approximation factor of 6 times the k th harmonic number,
which is O(\logk). The second algorithm works on directed and undirected graphs. It gives an
O(n/\keps)-approximation algorithm for any \keps>0 and k≤(1-\keps)n. The latter algorithm
also extends to other problems in network design with vertex connectivity requirements. Our …
(MATH) We present two new algorithms for the problem of finding a minimum-cost k-vertex connected spanning subgraph. The first algorithm works on undirected graphs with at least 6k2 vertices and achieves an approximation factor of 6 times the kth harmonic number, which is . The second algorithm works on directed and undirected graphs. It gives an $O(\sqrt{ n /\keps})$-approximation algorithm for any $\keps > 0$ and $k \le (1-\keps)n$. The latter algorithm also extends to other problems in network design with vertex connectivity requirements. Our main tools are setpair relaxations, a theorem of Mader's (in the undirected case) and iterative rounding (general case).
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