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Fast Variables in Stochastic Population Dynamics

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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 stochasticity, 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 stochastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of stochastic 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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Series Title

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Call Number

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Publisher

: Springer Cham., 2015

Collation

XVII, 163

Language

English

ISBN/ISSN

978-3-319-21218-0

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Computational and Systems Biology
Complex Systems
Community and Population Ecology
Population Genetics

Specific Detail Info

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Statement of Responsibility

George William Albert Constable

Other Information

Cataloger

agus

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