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Fundamentals of Stochastic Networks

Autor OC Ibe
en Limba Engleză Hardback – 2 noi 2011
This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by including applications in biology, communications, mathematics, engineering, and operations management. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, the book includes science and engineering applications, many practical examples that include related mathematical details, and numerous solved examples. It serves as both a reference for researchers and network professionals and as an upper-undergraduate and graduate-level coursebook.
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Specificații

ISBN-13: 9781118065679
ISBN-10: 1118065670
Pagini: 312
Dimensiuni: 163 x 242 x 22 mm
Greutate: 0.57 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

As a reference for researchers and network professionals in need of the general principles of stochastic networks; as an upper–undergraduate and graduate level coursebook for courses in probability and stochastic networks, stochastic network calculus, stochastic network optimization, and stochastic models for students majoring in mathematics, operations research, finance, economics, or engineering; and academic and corporate libraries.

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Notă biografică

OLIVER C. IBE, ScD, is Associate Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts at Lowell. He has more than thirty years of experience in academia and the telecommunications industry in various technical and management capacities. Dr. Ibe's research interests include stochastic systems modeling, bioinformatics, and communication network performance modeling. He is the author of Converged Network Architectures: Delivering Voice over IP, ATM, and Frame Relay (Wiley).

Descriere

This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by including applications in biology, communications, mathematics, engineering, and operations management.