Markov Processes: An Introduction for Physical Scientists
Author:   Daniel T. Gillespie (Naval Weapons Center)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780122839559


Pages:   592
Publication Date:   02 December 1991
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Markov Processes: An Introduction for Physical Scientists


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Overview

Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and jump Markov processes in a way that should appeal especially to physicists and chemists at the senior and graduate level.

Full Product Details

Author:   Daniel T. Gillespie (Naval Weapons Center)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 15.20cm , Height: 3.40cm , Length: 22.90cm
Weight:   1.080kg
ISBN:  

9780122839559


ISBN 10:   0122839552
Pages:   592
Publication Date:   02 December 1991
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

"Random Variable Theory General Features of a Markov Process Continuous Markov Processes Jump Markov Processes with Continuum States Jump Markov Processes with Discrete States Temporally Homogeneous Birth-Death Markov Processes Appendixes: Some Useful Integral Identities Integral Representations of the Delta Functions An Approximate Solution Procedure for ""Open"" Moment Evolution Equations Estimating the Width and Area of a Function Peak Can the Accuracy of the Continuous Process Simulation Formula Be Improved? Proof of the Birth-Death Stability Theorem Solution of the Matrix Differential Equation"

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