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Deterministic Extraction from Weak Random Sources

by Gabizon, Ariel.
Authors: SpringerLink (Online service) Series: Monographs in Theoretical Computer Science. An EATCS Series, 1431-2654 Physical details: XII, 148 p. online resource. ISBN: 3642149030 Subject(s): Computer science. | Information theory. | Geometry, algebraic. | Combinatorics. | Computer Science. | Theory of Computation. | Mathematics of Computing. | Algebraic Geometry. | Combinatorics.
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E-Book E-Book AUM Main Library 004.0151 (Browse Shelf) Not for loan

A deterministic extractor is a function that extracts almost perfect random bits from a weak random source. In this research monograph the author constructs deterministic extractors for several types of sources. A basic theme in this work is a methodology of recycling randomness which enables increasing the output length of deterministic extractors to near optimal length. The author's main work examines deterministic extractors for bit-fixing sources, deterministic extractors for affine sources and polynomial sources over large fields, and increasing the output length of zero-error dispersers. This work will be of interest to researchers and graduate students in combinatorics and theoretical computer science.

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