Numbers, Information and Complexity

. Ed(s): Althofer, Ingo; Cai, Ning (School of Computing, National University of Singapore); Dueck, Gunter; Khachatrian, Levon H. (Fakultat Mathematik

ISBN 10: 1441949674 / ISBN 13: 9781441949677

Published by Springer-Verlag New York Inc., 2010

About this Item

Editor(s): Althofer, Ingo; Cai, Ning (School of Computing, National University of Singapore); Dueck, Gunter; Khachatrian, Levon H. (Fakultat Mathematik, Universitat Bielefeld, Germany); Pinsker, Marcus (Institute for Problems of Information Transmission, Russian Academy of Sciences, Moscow); Sarkozy, G. (Eotvos Lorand University, Dept. of Algebra and Number Theory, Budapest, Hungary); Wegener, Ingo; Zhang, Zhen (Communications Science Institute, University of Southern California, Los Angeles, USA). Num Pages: 652 pages, biography. BIC Classification: PBV; TJF; UMB; UYA. Category: (P) Professional & Vocational. Dimension: 279 x 210 x 34. Weight in Grams: 1641. . 2010. Softcover reprint of the original 1st ed. 2000. Paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781441949677

Bibliographic Details

• Title: Numbers, Information and Complexity
• Publisher: Springer-Verlag New York Inc.
• Publication Date: 2010
• Language: English
• ISBN 10: 1441949674
• ISBN 13: 9781441949677
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Numbers, Information and Complexity is a collection of about 50 articles in honour of Rudolf Ahlswede. His main areas of research are represented in the three sections, `Numbers and Combinations', `Information Theory (Channels and Networks, Combinatorial and Algebraic Coding, Cryptology, with the related fields Data Compression, Entropy Theory, Symbolic Dynamics, Probability and Statistics)', and `Complexity'.
Special attention was paid to the interplay between the fields. Surveys on topics of current interest are included as well as new research results.
The book features surveys on Combinatorics about topics such as intersection theorems, which are not yet covered in textbooks, several contributions by leading experts in data compression, and relations to Natural Sciences are discussed.