Stochastic modelling of reaction-diffusion processes /
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 comp...
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Main Authors: | |
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Group Author: | |
Published: |
Cambridge University Press,
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Publisher Address: | Cambridge, United Kingdom : |
Publication Dates: | 2020. |
Literature type: | Book |
Language: | English |
Series: |
Cambridge texts in applied mathematics
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Subjects: | |
Summary: |
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. |
Carrier Form: | xi, 307 pages : illustrations (some color) ; 23 cm. |
Bibliography: | Includes bibliographical references (pages 297-303) and index. |
ISBN: |
9781108703000 1108703003 9781108498128 1108498124 |
Index Number: | QA274 |
CLC: |
O175.26 O211.6 |
Call Number: | O211.6/E656 |