Livraison gratuite à partir de 69.99 euros.

Vérifier l'état de la commande

Accédez à une communauté d'amateurs de livres à travers le monde et bénéficiez d’une panoplie d'avantages. Créer un compte gratuitement

Livraison gratuite avec Zásilkovna à partir de 69.99 €

Coursier DPD 5.99 € Point Bpost 7.99 € Bpost 7.49 € Point DPD 3.49 € Service de messagerie GLS 4.99 €

Contact

Comment faire ses achats

Assistance

Mon compte

▸ Vide :-(

Livraison gratuite à partir de 69.99 euros.

Combinatorial Methods and Models

Langue

Anglais

Livre Livre relié

Code Libristo: 15690989

Éditeurs Springer International Publishing AG, juillet 2017

The fourth volume of Rudolf Ahlswede's lectures on Information Theory is focused on Combinatorics. R... Description détaillée

Code Libristo: 15690989

292 b

120.82 €

Stockage externe Expédition sous 10-13 jours

Jusqu'à 30 jours pour les retours

Les clients ont également acheté

Hovořit je vždycky o čem Jarmila Bachmannová

Livre relié

10.40 €

Einkauf von Dienstleistungen Georg Sorge

Livre de poche

47.11 €

Miguel Servet : historia de un fugitivo Fernando Martínez Laínez

Livre de poche

14.45 €

Celestine, Ou Les Epoux Sans l'Etre DE LA LIBORLIERE-L-F

Livre de poche

23.95 €

deutschen Maler-Radirer PeintresGraveurs des neunzehnten Jahrhunderts Andreas Andresen

Livre de poche

24.16 €

Romantica Baby

Livre de poche

19.71 €

Ready The Blues Band

CD Audio

22.03 €

Co je odtud vidět Mariana Leky

CD Audio

13.24 €

The fourth volume of Rudolf Ahlswede's lectures on Information Theory is focused on Combinatorics. Rudolf Ahlswede's original motivation to study combinatorial aspects of Information Theory problems were zero-error codes: in this case the structure of the coding problems usually drastically changes from probabilistic to combinatorial. The best example is Shannon's zero error capacity where independent sets in graphs have to be examined. The extension to multiple access channels leads to the Zarankiewicz problem.

Classical information processing concerns the main tasks of gaining knowledge and the storage, transmission and hiding of data. The first task is the prime goal of Statistics. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models. The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used as the basis for courses or to supplement courses in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.