Overview
- First complete treatment of the topic
- Introduces new results
- Results introduced will impact on various disciplines
- Includes supplementary material: sn.pub/extras
Part of the book series: Monographs in Theoretical Computer Science. An EATCS Series (EATCS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Reviews
From the reviews:
“This monograph is in the European Association for Theoretical Computer Science (EATCS) monograph series. It is an edited version of the author’s PhD thesis. … the book presents probability arguments and methods quite clearly, and in a way that readers can study them separately. Finally, the book contains two very useful appendices, one on probability methods and the other on concepts from algebraic geometry.” (Bruce Litow, ACM Computing Reviews, November, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Deterministic Extraction from Weak Random Sources
Authors: Ariel Gabizon
Series Title: Monographs in Theoretical Computer Science. An EATCS Series
DOI: https://doi.org/10.1007/978-3-642-14903-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-14902-3Published: 08 October 2010
Softcover ISBN: 978-3-642-26538-9Published: 01 December 2012
eBook ISBN: 978-3-642-14903-0Published: 07 October 2010
Series ISSN: 1431-2654
Series E-ISSN: 2193-2069
Edition Number: 1
Number of Pages: XII, 148
Topics: Theory of Computation, Mathematics of Computing, Algebraic Geometry, Combinatorics