Numbers, Information and Complexity

Ingo Althöfer

ISBN 10: 1441949674 / ISBN 13: 9781441949677

Edité par Springer US, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781441949677

Détails bibliographiques

• Titre: Numbers, Information and Complexity
• Éditeur: Springer US
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441949674
• ISBN à 13 chiffres: 9781441949677
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

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.