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
Link To Document :
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