Numbers, Information and Complexity

Ingo Althöfer

ISBN 10: 1441949674 / ISBN 13: 9781441949677

Verlag: Springer US Dez 2010, 2010

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 676 pp. Englisch.

Bestandsnummer des Verkäufers 9781441949677

Bibliografische Details

• Titel: Numbers, Information and Complexity
• Verlag: Springer US Dez 2010
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 1441949674
• ISBN-13: 9781441949677
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.