• DocumentCode
    3450826
  • Title

    All pairs shortest paths in undirected graphs with integer weights

  • Author

    Shoshan, Avi ; Zwick, Uri

  • Author_Institution
    Dept. of Comput. Sci., Tel Aviv Univ., Israel
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    605
  • Lastpage
    614
  • Abstract
    We show that the all pairs shortest paths (APSP) problem for undirected graphs with integer edge weights taken from the range {1, 2, ..., M} can be solved using only a logarithmic number of distance products of matrices with elements in the range (1, 2, ..., M). As a result, we get an algorithm for the APSP problem in such graphs that runs in O¯(Mnω) time, where n is the number of vertices in the input graph, M is the largest edge weight in the graph, and ω<2.376 is the exponent of matrix multiplication. This improves, and also simplifies, an O¯(M(ω+1)/2nω) time algorithm of Galil and Margalit (1997)
  • Keywords
    computational complexity; graph theory; matrix multiplication; all pairs shortest paths problem; input graph; integer edge weights; matrix distance products; matrix multiplication; undirected graphs; Computer science; Matrices; Read only memory; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1999. 40th Annual Symposium on
  • Conference_Location
    New York City, NY
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-0409-4
  • Type

    conf

  • DOI
    10.1109/SFFCS.1999.814635
  • Filename
    814635