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Stochastic Modelling of Reaction-Diffusion Processes

Stochastic Modelling of Reaction-Diffusion Processes

Stochastic Modelling of Reaction-Diffusion Processes
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Stochastic Modelling of Reaction-Diffusion Processes Hardback - 2020

by Radek Erban

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Hardback. New. This practical introduction covers mathematical methods for the analysis of stochastic models and their biological applications. Based on courses taught at the University of Oxford, the book can be used for self-study or as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics.
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Details

  • Title Stochastic Modelling of Reaction-Diffusion Processes
  • Author Radek Erban
  • Binding Hardback
  • Condition New
  • Pages 320
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-01-30
  • Features Bibliography, Index
  • Bookseller's Inventory # B9781108498128
  • ISBN 9781108498128 / 1108498124
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9.1 x 6.2 x 0.7 in (23.11 x 15.75 x 1.78 cm)
  • Category Science
  • Library of Congress subjects Stochastic processes, Reaction-diffusion equations
  • Library of Congress Catalogue Number 2019019436
  • Dewey Decimal Code 515.353
  • Quantity available 10

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Reader reviews for Stochastic Modelling of Reaction-Diffusion Processes

From the publisher

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecular dynamics, Brownian dynamics, velocity jump processes and compartment-based (lattice-based) models.

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Citations

  • Choice, 09/01/2020, Page 0
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