ISBN: 9780521854429 - random networks for communication: from statistical physics to information systems (cambridge series in statistical and probabilistic mathematics) ... and probabilistic mathematics, 24, band 24) (14 Ergebnisse)

Zustand: Good. Volume 24. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780521854429. …

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Used. pp. 250 70 Figures, Illus.

Zustand: Used. pp. 250.

Zustand: New.

Zustand: New. The first rigorous introduction for graduate students and scientists to techniques and problems motivated by wireless data networks. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 212 pages, 67 b/w illus. 60 exercises. BIC Classification: PBT; TJK. Category: (P) Professional & Vocational. Dimension: 187 x 263 x 20. Weight in Grams: 582. . 2008. 1st Edition. hardcover. . . . . …

Zustand: New. In English.

Zustand: New.

Hardback. Zustand: New. When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. The first rigorous introduction for graduate students and scientists to techniques and problems motivated by wireless data networks. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 212 pages, 67 b/w illus. 60 exercises. BIC Classification: PBT; TJK. Category: (P) Professional & Vocational. Dimension: 187 x 263 x 20. Weight in Grams: 582. . 2008. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 1st edition. 250 pages. 10.00x7.25x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - When is a random network (almost) connected How much information can it carry How can you find a particular destination within the network And how do you approach these questions - and others - when the network is random The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.…

Hardback. Zustand: New. When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.…