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
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