Computing a (1+ε)-approximate geometric minimum-diameter spanning tree

Michael J. Spriggs, J. Mark Keil, Sergei Bespamyatnikh, Michael Segal, Jack Snoeyink

    Research output: Contribution to journalArticlepeer-review

    13 Scopus citations

    Abstract

    Given a set P of points in the plane, a geometric minimum-diameter spanning tree (GMDST) of P is a spanning tree of P such that the longest path through the tree is minimized. For several years, the best upper bound on the time to compute a GMDST was cubic with respect to the number of points in the input set. Recently, Timothy Chan introduced a subcubic time algorithm. In this paper we present an algorithm that generates a tree whose diameter is no more than (1 + ε) times that of a GMDST, for any ε > 0. Our algorithm reduces the problem to several grid-aligned versions of the problem and runs within time O(ε-3+ n) and space O(n).

    Original languageEnglish
    Pages (from-to)577-589
    Number of pages13
    JournalAlgorithmica
    Volume38
    Issue number4
    DOIs
    StatePublished - 1 Jan 2004

    Keywords

    • Approximation algorithm
    • Geometric graph
    • Minimum diameter spanning tree

    ASJC Scopus subject areas

    • General Computer Science
    • Computer Science Applications
    • Applied Mathematics

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