• DocumentCode
    2112657
  • Title

    Extracting randomness: how and why. A survey

  • Author

    Nisan, Noam

  • Author_Institution
    Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
  • fYear
    1996
  • fDate
    24-27 May 1996
  • Firstpage
    44
  • Lastpage
    58
  • Abstract
    Extractors are Boolean functions that allow, in some precise sense, extraction of randomness from somewhat random distributions. Extractors, and the closely related “Dispersers”, exhibit some of the most “random-like” properties of explicitly constructed combinatorial structures. In turn, extractors and dispersers have many applications in “removing randomness” in various settings and in making randomized constructions explicit. This manuscript surveys extractors and dispersers: what they are, how they can be designed, and some of their applications. The work described is due to of a long list of research papers by various authors-most notably by David Zuckerman
  • Keywords
    Boolean functions; computational complexity; randomised algorithms; Boolean functions; dispersers; extraction of randomness; extractors; randomized constructions; randomness; Algorithm design and analysis; Boolean functions; Computer science; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 1996. Proceedings., Eleventh Annual IEEE Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-8186-7386-9
  • Type

    conf

  • DOI
    10.1109/CCC.1996.507667
  • Filename
    507667