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Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Foundations and Trends(r) in Communications and Information)

Maxim Raginsky, Igal Sason




[PDF.vy95] Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Foundations and Trends(r) in Communications and Information)

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 | #5448870 in Books |  2014-09-03 | Original language:English | PDF # 1 |  9.21 x.54 x6.14l,.80 | File type: PDF | 256 pages

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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 theo...

You easily download any file type for your device.Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Foundations and Trends(r) in Communications and Information)   |  Maxim Raginsky, Igal Sason. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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