Deterministic Extraction from Weak Random Sources

Author:   Ariel Gabizon
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
ISBN:  

9783642265389


Pages:   148
Publication Date:   01 December 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Deterministic Extraction from Weak Random Sources


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Full Product Details

Author:   Ariel Gabizon
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642265389


ISBN 10:   3642265383
Pages:   148
Publication Date:   01 December 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction Deterministic Extractors for Bit-Fixing Sources by Obtaining an Independent Seed Deterministic Extractors for Affine Sources Over Large Fields Extractors and Rank Extractors for Polynomial Sources Increasing the Output Length of Zero-Error Dispersers App. A, Sampling and Partitioning App. B, Basic Notions from Algebraic Geometry Bibliography

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)


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)


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