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: Applied Stochastic Processes in Science and EngineeringApplied Stochastic Processes in Science and Engineering
by - University of Waterloo
This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. A senior undergraduate course offered to students with a suitably mathematical background.
(10225 views)
Book cover: Lectures on Stochastic Differential Equations and Malliavin CalculusLectures on Stochastic Differential Equations and Malliavin Calculus
by - Tata Institute of Fundamental Research
The author's main purpose in these lectures was to study solutions of stochastic differential equations as Wiener functionals and apply to them some infinite dimensional functional analysis. This idea was due to P. Malliavin.
(12238 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.
(9703 views)
Book cover: Advanced Stochastic ProcessesAdvanced Stochastic Processes
by - Bookboon
In this book, which is basically self-contained, the following topics are treated thoroughly: Brownian motion as a Gaussian process, Brownian motion as a Markov process, Brownian motion as a martingale, Markov chains, renewal theory, etc.
(9728 views)