Téléchargez le livre : Markov Chains

Markov Chains

Gibbs Fields, Monte Carlo Simulation and Queues de

Éditeur :

Springer


Collection :

Texts in Applied Mathematics

Paru le : 2020-05-23

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Description
This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest.
Pages
557 pages
Collection
Texts in Applied Mathematics
Parution
2020-05-23
Marque
Springer
EAN papier
9783030459819
EAN PDF
9783030459826
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
55
Taille du fichier
5315 Ko
Prix
72,59 €

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