Title: Computing Edge-Connectivity in Multigraphs and Capacitated Graphs
Abstract:Given an undirected graph $G = ( V,E )$, it is known that its edge-connectivity $\lambda ( G )$ can be computed by solving $O( | V | )$ max-flow problems. The best time bounds known for the problem ar...Given an undirected graph $G = ( V,E )$, it is known that its edge-connectivity $\lambda ( G )$ can be computed by solving $O( | V | )$ max-flow problems. The best time bounds known for the problem are $O( \lambda ( G ) | V |^2 )$, due to Matula (28th IEEE Symposium on the Foundations of Computer Science, 1987, pp. 249–251) if G is simple, and $O( | E |^{3/2} | V | )$, due to Even and Tarjan (SIAM J. Comput., 4 (1975), pp. 507–518) if G is multiple. An $O( | E | + \min \{ \lambda ( G ) | V |^2 ,p | V | + | V |^2 \log | V | \} )$ time algorithm for computing the edge-connectivity $\lambda ( G )$ of a multigraph $G = ( V,E )$, where $p ( \leqq | E | )$ is the number of pairs of nodes between which G has an edge, is proposed. This algorithm does not use any max-flow algorithm but consists only of $| V |$ times of graph searches and edge contractions. This method is then extended to a capacitated network to compute its minimum cut capacity in $O ( | V | | E | + | V |^2 \log | V | )$ time.Read More
Publication Year: 1992
Publication Date: 1992-02-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 399
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