Fundamentals of Stochastic Networks by Oliver C. Ibe

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  • Title: Fundamentals of Stochastic Networks
  • Author: Oliver C. Ibe
  • Category: Arithmetic
  • Date: August 2011
  • Lenguage: English
  • Pages: unknown
  • ISBN: 1118092996

 

Ebook description:

An interdisciplinary strategy to understanding queueing and graphical networks In right now’s period of interdisciplinary research and analysis actions, community fashions have gotten more and more vital in numerous areas the place they haven’t often been used. Combining strategies from stochastic processes and graph principle to investigate the habits of networks, Fundamentals of Stochastic Networks offers an interdisciplinary strategy by together with sensible purposes of those stochastic networks in numerous fields of examine, from engineering and operations administration to communications and the bodily sciences. The writer uniquely unites several types of stochastic, queueing, and graphical networks which are sometimes studied independently of one another. With balanced protection, the guide is organized into three succinct elements: Half I introduces fundamental ideas in likelihood and stochastic processes, with protection on counting, Poisson, renewal, and Markov processes Half II addresses fundamental queueing principle, with a concentrate on Markovian queueing programs and likewise explores superior queueing principle, queueing networks, and approximations of queueing networks Half III focuses on graphical fashions, presenting an introduction to graph principle together with Bayesian, Boolean, and random networks The writer presents the fabric in a self-contained model that helps readers apply the introduced strategies and strategies to science and engineering purposes. Quite a few sensible examples are additionally offered all through, together with all associated mathematical particulars. That includes fundamental outcomes with out heavy emphasis on proving theorems, Fundamentals of Stochastic Networks is an acceptable guide for programs on likelihood and stochastic networks, stochastic community calculus, and stochastic community optimization on the upper-undergraduate and graduate ranges. The guide additionally serves as a reference for researchers and community professionals who want to study more concerning the normal rules of stochastic networks

 

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