• DocumentCode
    3174832
  • Title

    Speeding up dynamic programming

  • Author

    Eppstein, David ; Galil, Zvi ; Giancarlo, Raffaele

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., NY, USA
  • fYear
    1988
  • fDate
    24-26 Oct 1988
  • Firstpage
    488
  • Lastpage
    496
  • Abstract
    A number of important computational problems in molecular biology, geology, speech recognition, and other areas can be expressed as recurrences which have typically been solved with dynamic programming. By using more sophisticated data structures, and by taking advantage of further structure from the applications, the authors speed up the computation of several of these recurrences by one or two orders of magnitude. The algorithms used are simple and practical
  • Keywords
    computational complexity; dynamic programming; algorithms; computational problems; data structures; dynamic programming; geology; molecular biology; speech recognition; Binary search trees; Biology computing; Computational biology; Computer science; Computer science education; Data structures; Dynamic programming; Educational programs; Geology; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1988., 29th Annual Symposium on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-8186-0877-3
  • Type

    conf

  • DOI
    10.1109/SFCS.1988.21965
  • Filename
    21965