Communication Complexity - Hardcover

Kushilevitz, Eyal; Nisan, Noam

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Hardcover

ISBN 10: 0521560675 ISBN 13: 9780521560672

Publisher: Cambridge University Press, 1996

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Communication Complexity surveys this mathematical theory, concentrating on the question of how much communication is necessary for any particular process. The first part of the book is devoted to the simple two-party model introduced by Yao in 1979, which is still the most widely studied model. The second part treats newer models developed to deal with more complicated communication processes. Finally, the authors treat applications of these models, including computer networks, VLSI circuits, and data structures.

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Book Description:

Computers can be described as a series of communication processes on many levels. When more than one computer is involved, even more layers of communication are necessary. Communication complexity is the mathematical theory of such communication processes. It is also often used as an abstract model of other aspects of computation.This book begins with simple models of communication and leads up to state-of-the-art theoretical results and applications. It will be an essential resource for graduate students and researchers in theoretical computer science, circuits, networks, VLSI, and information theory.

Review:

"This is a great book! The topics are well-chosen and the presentation is excellent...I spent most of my Thanksgiving and Christmas vacation (and some time in between) reading this book. That I wanted to speaks well of its choice of topics. That I was able to speaks well of its presentation." SIGACT News

"This is an excellent book devoted to communication complexity of two-party protocols introduced by A.C.C. Yao....I believe that it will be very useful in stimulating research in this area." Juraj Hromkovic, Mathematical Reviews

"I strongly recommend this book to everybody interested in this topic, and to researchers...Its readability and good organization also make it a suitable resource for preparing lectures for graduate students in theoretical computer science and mathematics." Computing Reviews

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