• DocumentCode
    1988952
  • Title

    Efficient algorithms for all-pairs shortest path problem on interval, directed path, and circular-arc graphs

  • Author

    Joshi, D.S. ; Sridhar, R. ; Chandrasekharan, Nisha

  • Author_Institution
    Sch. of Comput. Sci., Oklahoma Univ., Norman, OK, USA
  • fYear
    1993
  • fDate
    27-29 May 1993
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    Given a graph G=(V,E), with |V|=N and |E|=M, we present algorithms for the all-pairs shortest path (APSP) problem when G is an interval, directed path, or circular arc graph. In particular, we obtain the following results: (1) Given an interval graph or circular arc graph on N nodes with its respective interval or arc representation, we present an O(N)-time and space algorithm to preprocess the graph in such a way that the shortest path queries-queries asking for the distance between any pair of nodes in the graph-can be answered in constant time. (2) For the interval/circular arc/directed path graph G, we present an algorithm for an APSP problem with time and space complexity of O(N2) and O(N+M), respectively. The algorithm for interval graphs compares well with a previous algorithm by F. Gavril (1975) which solves the APSP problem with a time and space complexity of O(N2)
  • Keywords
    computational complexity; graph theory; all-pairs shortest path problem; circular arc graph; directed path graph; graph preprocessing; inter-node distance; interval graph; shortest path queries; space complexity; time complexity; Biological system modeling; Books; Clocks; Computational biology; Computer science; Information retrieval; Mathematical model; Shortest path problem; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1993. Proceedings ICCI '93., Fifth International Conference on
  • Conference_Location
    Sudbury, Ont.
  • Print_ISBN
    0-8186-4212-2
  • Type

    conf

  • DOI
    10.1109/ICCI.1993.315407
  • Filename
    315407