Vertex connectivity in poly-logarithmic max-flowsShow others and affiliations
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
2022-03-212022-03-212022-07-18Bibliographically approved