• DocumentCode
    3076463
  • Title

    Reduction of the dimensionality of dynamic programming: a case study

  • Author

    de Madrid, A.P. ; Dormido, S. ; Morilla, F.

  • Author_Institution
    Dept. de Inf. y Autom., UNED, Madrid, Spain
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2852
  • Abstract
    This paper deals with the reduction of the computational complexity of dynamic programming, the well known curse of dimensionality. We show how it can be overcome by using different reduction techniques. Three of the most significant ones are introduced and compared with an example. The main conclusion is that the computational load can be reduced several orders of magnitude in an easy and intuitive way
  • Keywords
    computational complexity; dynamic programming; interpolation; computational complexity; dimensionality reduction; dynamic programming; interpolation; optimisation; reduction techniques; Artificial intelligence; Automatic control; Computational complexity; Computer aided software engineering; Cost function; Dynamic programming; Electronic mail; Interpolation; Mathematics; Processor scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.786593
  • Filename
    786593