| Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition Revised Edition Contributor(s): Raginsky, Maxim (Author), Sason, Igal (Author) |
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ISBN: 1601989067 ISBN-13: 9781601989062 Publisher: Now Publishers OUR PRICE: $94.05 Product Type: Paperback Published: September 2014 |
| Additional Information |
| BISAC Categories: - Computers | Information Theory |
| Dewey: 003.54 |
| Series: Foundations and Trends(r) in Communications and Information |
| Physical Information: 0.54" H x 6.14" W x 9.21" (0.80 lbs) 256 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. Concentration of Measure Inequalities in Information Theory, Communications, and Coding is essential reading for all researchers and scientists in information theory and coding. |
