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Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Paperback, 2nd Revised edition) Loot Price: R2,354
Discovery Miles 23 540
Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Paperback, 2nd Revised...

Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Paperback, 2nd Revised edition)

Maxim Raginsky, Igal Sason

Series: Foundations and Trends (R) in Communications and Information Theory

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Loot Price R2,354 Discovery Miles 23 540 | Repayment Terms: R221 pm x 12*

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This second edition includes several new sections and provides a full update on all sections. This book was welcomed when it was first published as an important comprehensive treatment of the subject which is now brought fully up to date. Concentration inequalities have been the subject of exciting developments during the last two decades, and have been intensively studied and used as a powerful tool in various areas. These include convex geometry, functional analysis, statistical physics, mathematical statistics, pure and applied probability theory (e.g., concentration of measure phenomena in random graphs, random matrices, and percolation), information theory, theoretical computer science, learning theory, and dynamical systems. Concentration of Measure Inequalities in Information Theory, Communications, and Coding focuses on some of the key modern mathematical tools that are used for the derivation of concentration inequalities, on their links to information theory, and on their various applications to communications and coding. In addition to being a survey, this monograph also includes various new recent results derived by the authors. It is essential reading for all researchers and scientists in information theory and coding.

General

Imprint: Now Publishers Inc
Country of origin: United States
Series: Foundations and Trends (R) in Communications and Information Theory
Release date: October 2014
First published: 2014
Authors: Maxim Raginsky • Igal Sason
Dimensions: 234 x 156 x 14mm (L x W x T)
Format: Paperback
Pages: 256
Edition: 2nd Revised edition
ISBN-13: 978-1-60198-906-2
Categories: Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
Books > Reference & Interdisciplinary > Communication studies > Information theory > General
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LSN: 1-60198-906-7
Barcode: 9781601989062

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