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Numbers, Information and Complexity 2000 Edition
Contributor(s): Althofer, Ingo (Editor), Ning Cai (Editor), Dueck, Gunter (Editor)

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 ISBN: 0792377656     ISBN-13: 9780792377658
Publisher: Springer
OUR PRICE: $208.99  

Binding Type: Hardcover - See All Available Formats & Editions
Published: February 2000
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Annotation: 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.
Additional Information
BISAC Categories:
- Mathematics | Research
- Computers | Information Theory
Dewey: 511.6
LCCN: 00-24696
Physical Information: 1.64" H x 6.5" W x 9.82" L (2.57 lbs) 652 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
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.
 
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