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Graph partitioning using single commodity flows

Published: 21 May 2006 Publication History

Abstract

We show that the sparsest cut in graphs can be approximated within O(log2 n) factor in Õ(n3/2) time using polylogarithmic single commodity max-flow computations. Previous algorithms are based on multicommodity flows which take time Õ(n2). Our algorithm iteratively employs max-flow computations to embed an expander flow, thus providing a certificate of expansion. Our technique can also be extended to yield an O(log2 n) (pseudo) approximation algorithm for the edge-separator problem with a similar running time.

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    cover image ACM Conferences
    STOC '06: Proceedings of the thirty-eighth annual ACM symposium on Theory of Computing
    May 2006
    786 pages
    ISBN:1595931341
    DOI:10.1145/1132516
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    Published: 21 May 2006

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    Author Tags

    1. edge-separator
    2. single commodity max-flow
    3. sparse cut
    4. spectral method

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    STOC06: Symposium on Theory of Computing
    May 21 - 23, 2006
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    • (2023)A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS57990.2023.00037(503-514)Online publication date: 6-Nov-2023
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