,

Markov Chains

Gibbs Fields, Monte Carlo Simulation and Queues

Paperback Engels 2021 2e druk 9783030459840
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.

Specificaties

ISBN13:9783030459840
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Druk:2

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Inhoudsopgave

<p>Preface.- 1 Probability Review.- 2 Discrete-Time Markov Chains.- 3 Recurrence and Ergodicity.- 4 Long-Run Behavior.- 5 Discrete-Time Renewal Theory.- 6 Absorption and Passage Times.- 7 Lyapunov Functions and Martingales.- 8 Random Walks on Graphs.- 9 Convergence Rates.- 10 Markov Fields on Graphs.- 11 Monte Carlo Markov Chains.- 12 Non-homogeneous Markov Chains.- 13 Continuous-Time Markov Chains.- 14 Markovian Queueing Theory.- Appendices.- Bibliography.- Index.</p>

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