Logo

Reversibility and Stochastic Networks

Large book cover: Reversibility and Stochastic Networks

Reversibility and Stochastic Networks
by

Publisher: John Wiley and Sons Ltd
ISBN/ASIN: 1107401151
Number of pages: 233

Description:
Examines the behavior in equilibrium of vector stochastic processes or stochastic networks, considering a wide range of applications by discussing stochastic models that arise in fields such as operational research, biology, and polymer science. Reviews the concept of reversibility, including material necessary to establish terminology and notation. Explains such uses as the study of the output from a queue, the flow of current in a conductor, the age of an allele, and the equilibrium distribution of a polymerization process. Also examines the extent to which the assumption of reversibility can be relaxed without destroying the associated tractability. Requires an understanding of Markov processes.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Stochastic ProcessesStochastic Processes
by - BookBoon
In this book you will find the basic stochastic processes mathematics that is needed by engineers and university students. Topics such as elementary probability calculus, density functions and stochastic processes are illustrated.
(9995 views)
Book cover: Stochastic CalculusStochastic Calculus
by
An informal introduction to Stochastic Calculus, and especially to the Ito integral and some of its applications. The text concentrates on the parts of the course which the author found hard, there is little or no comment on more standard matters.
(16018 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(11932 views)
Book cover: Stochastic Differential Equations: Models and NumericsStochastic Differential Equations: Models and Numerics
by - KTH
The goal of this course is to give useful understanding for solving problems formulated by stochastic differential equations models in science, engineering and finance. Typically, these problems require numerical methods to obtain a solution.
(7603 views)