Name: Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)
Price: 110760.00 CLP
Availability: InStock
Author: Massimo Franceschetti; Ronald Meester
ISBN: 9780521854429

portada Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Massimo Franceschetti; Ronald Meester

Año

2008

Idioma

Inglés

N° páginas

212

Encuadernación

Tapa Dura

Peso

ISBN

0521854423

ISBN13

9780521854429

N° edición

Categorías

Probabilidad y estadística

Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)

Massimo Franceschetti; Ronald Meester (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)"

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.