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Vertex connectivity in poly-logarithmic max-flows
Carnegie Mellon University, United States.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS. University of Copenhagen, Denmark.ORCID iD: 0000-0003-4468-2675
Duke University, United States.
University of Michigan, United States.
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2021 (English)In: Proceedings of the Annual ACM Symposium on Theory of Computing, Association for Computing Machinery , 2021, p. 317-329Conference paper, Published paper (Refereed)
Abstract [en]

The vertex connectivity of an m-edge n-vertex undirected graph is the smallest number of vertices whose removal disconnects the graph, or leaves only a singleton vertex. In this paper, we give a reduction from the vertex connectivity problem to a set of maxflow instances. Using this reduction, we can solve vertex connectivity in (mα) time for any α ≥ 1, if there is a mα-time maxflow algorithm. Using the current best maxflow algorithm that runs in m4/3+o(1)-time (Kathuria, Liu and Sidford, FOCS 2020), this yields a m4/3+o(1)-time vertex connectivity algorithm. This is the first improvement in the running time of the vertex connectivity problem in over 20 years, the previous best being an Õ(mn)-time algorithm due to Henzinger, Rao, and Gabow (FOCS 1996). Indeed, no algorithm with an o(mn) running time was known before our work, even if we assume an (m)-time maxflow algorithm.

Our new technique is robust enough to also improve the best Õ(mn)-time bound for directed vertex connectivity to mn1−1/12+o(1)-time.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2021. p. 317-329
Series
Proceedings of the annual ACM Symposium on Theory of Computing, ISSN 0737-8017
Keywords [en]
algorithmic graph theory, vertex connectivity, Max flow algorithm, Running time, Time algorithms, Time bound, Undirected graph, Computation theory
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-309938DOI: 10.1145/3406325.3451088ISI: 000810492500037Scopus ID: 2-s2.0-85108148099OAI: oai:DiVA.org:kth-309938DiVA, id: diva2:1645927
Conference
53rd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2021, Virtual/Online, 21-25 June 2021
Note

Part of proceedings: ISBN 978-1-4503-8053-9

QC 20220321

QC 20220718

Available from: 2022-03-21 Created: 2022-03-21 Last updated: 2022-07-18Bibliographically approved

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Na Nongkai, Danupon

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  • apa
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