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Markov Chains

Theory and Applications de

Éditeur :

Wiley-ISTE


Paru le : 2013-08-05

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Description

Markov Chains: Theory and Applications
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest.
The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.
Pages
410 pages
Collection
n.c
Parution
2013-08-05
Marque
Wiley-ISTE
EAN papier
9781848214934
EAN PDF
9781118731444
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
410
Taille du fichier
2918 Ko
Prix
163,47 €
EAN EPUB
9781118731536
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
410
Taille du fichier
20234 Ko
Prix
163,47 €

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