ISBN:0521854423

Author: | Ronald Meester,Massimo Franceschetti |

ISBN13: | 978-0521854429 |

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

Format: | mobi doc lrf azw |

ePUB size: | 1290 kb |

FB2 size: | 1239 kb |

DJVU size: | 1100 kb |

Language: | English |

Category: | Mathematics |

Publisher: | Cambridge University Press; 1 edition (January 28, 2008) |

Pages: | 212 |

Massimo Franceschetti, Ronald Meester. Download (pdf, . 1 Mb) Donate Read. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.

Massimo Franceschetti (Author). Series: Cambridge Series in Statistical and Probabilistic Mathematics (Book 24). Hardcover: 212 pages.

Series: Cambridge Series in Statistical and Probabilistic Mathematics. Information flow in random networks . c preliminaries . 1 Channel capacity . 2 Additive Gaussian channel . 3 Communication with continuous time signals . 4 c random networks . Scaling limits; single source–destination pair . Multiple source–destination pairs; lower bound .

Электронная книга "Random Networks for Communication: From Statistical Physics to Information Systems", Massimo Franceschetti, Ronald Meester. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Random Networks for Communication: From Statistical Physics to Information Systems" для чтения в офлайн-режиме.

by Massimo Franceschetti, Ronald Meester. Publisher: Cambridge University Press. 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

Massimo Franceschetti, Ronald Meester. om Networks for Communication. html?hl ru&id IEODOi9IilUC. Random Networks for Communication: From Statistical Physics to Information Systems Cambridge Series in Statistical and Probabilistic Mathematics (Том 24). Авторы.

Home All Categories Random Networks for Communication: From Statistical Physics to Information Systems (Cambridge Series in Statistical and Probabilistic Mathematics). ISBN13: 9780521854429. Random Networks for Communication : From Statistical Physics to Information Systems. by Massimo Franceschetti and Ronald Meester. 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.

49 results in Cambridge Series in Statistical and Probabilistic Mathematics. Relevance Title Sorted by Date. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook.

Random networks for communication. From statistical physics to information systems. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge, 2007. ISBN 978-0-521-85442-9. Cambridge Series in Statistical and Probabilistic Mathematics). Cambridge: Cambridge University Press. Franceschetti, M. ; Meester, . Random networks for communication. Cambridge : Cambridge University Press, 2007. 056ec801954c, title "Random networks for communication", author "M. Franceschetti and . N1 - MR2398551 From statistical physics to information systems. T3 - Cambridge Series in Statistical and Probabilistic Mathematics. BT - Random networks for communication.

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.

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