• DocumentCode
    2834141
  • Title

    A Log-Space Algorithm for Reachability in Planar Acyclic Digraphs with Few Sources

  • Author

    Stolee, Derrick ; Bourke, Chris ; Vinodchandran, N.V.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • fYear
    2010
  • fDate
    9-12 June 2010
  • Firstpage
    131
  • Lastpage
    138
  • Abstract
    Designing algorithms that use logarithmic space for graph reachability problems is fundamental to complexity theory. It is well known that for general directed graphs this problem is equivalent to the NL vs L problem. This paper focuses on the reachability problem over planar graphs where the complexity is unknown. Showing that the planar reachability problem is NL-complete would show that nondeterministic log-space computations can be made unambiguous. On the other hand, very little is known about classes of planar graphs that admit log-space algorithms. We present a new `source-based´ structural decomposition method for planar DAGs. Based on this decomposition, we show that reachability for planar DAGs with m sources can be decided deterministically in O(m + log n) space. This leads to a log-space algorithm for reachability in planar DAGs with O(log n) sources. Our result drastically improves the class of planar graphs for which we know how to decide reachability in deterministic log-space. Specifically, the class extends from planar DAGs with at most two sources to at most O(log n) sources.
  • Keywords
    computational complexity; reachability analysis; NL-complete; complexity theory; general directed graphs; graph reachability problems; log-space algorithm; nondeterministic log-space computations; planar acyclic digraphs; planar graphs; Algorithm design and analysis; Complexity theory; Computational complexity; Computer science; Concurrent computing; Jacobian matrices; Mathematics; Parallel processing; Particle separators; USA Councils; acyclic digraph; logspace algorithm; planar graph; reachability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity (CCC), 2010 IEEE 25th Annual Conference on
  • Conference_Location
    Cambridge, MA
  • ISSN
    1093-0159
  • Print_ISBN
    978-1-4244-7214-7
  • Electronic_ISBN
    1093-0159
  • Type

    conf

  • DOI
    10.1109/CCC.2010.36
  • Filename
    5497891