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Deterministic Extraction from Weak Random Sources

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Deterministic Extraction from Weak Random Sources Synopsis

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.

About This Edition

ISBN: 9783642149023
Publication date:
Author: Ariel Gabizon
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 148 pages
Series: Monographs in Theoretical Computer Science. An EATCS Series
Genres: Mathematical theory of computation
Maths for computer scientists
Algebraic geometry
Discrete mathematics