Fast Variables in Stochastic Population Dynamics
In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic shasticity, for experts and non-experts alike.
Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when shastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of shastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.
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Fast Variables in Stochastic Population Dynamics
In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic shasticity, for experts and non-experts alike.
Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when shastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of shastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.
109.99 In Stock
Fast Variables in Stochastic Population Dynamics

Fast Variables in Stochastic Population Dynamics

by George William Albert Constable
Fast Variables in Stochastic Population Dynamics

Fast Variables in Stochastic Population Dynamics

by George William Albert Constable

Paperback(Softcover reprint of the original 1st ed. 2015)

$109.99 
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Overview

In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic shasticity, for experts and non-experts alike.
Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when shastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of shastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.

Product Details

ISBN-13: 9783319373843
Publisher: Springer International Publishing
Publication date: 10/22/2016
Series: Springer Theses
Edition description: Softcover reprint of the original 1st ed. 2015
Pages: 163
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

About the Author

George Constable has a background in non-equilibrium statistical physics, and is especially interested in applying the ideas and techniques of shastic theory to ecological and biological systems. His first degree was from the University of Glasgow and his Ph.D was obtained from the University of Manchester. While there, his work was primarily concerned with the derivation of effective theories for microscopically defined individual based models. Currently, he is a postdoctoral researcher looking at the effects of spatial structure on population level dynamics in the Ecology and Evolutionary Biology Department at Princeton University.

Table of Contents

Introduction.- Technical Background.- The Conditioning Method.- The Projection Matrix Method.- Metapopulation Moran Model Analysis.- Further Developments.- Conclusion.

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