Stochastic Modelling of Reaction–Diffusion Processes: 60 (Cambridge Texts in Applied Mathematics, Series Number 60) - Hardcover
Book 41 of 44: Cambridge Texts in Applied Mathematics
Synopsis
Practical introduction for advanced undergraduate or beginning graduate students of applied mathematics, developed at the University of Oxford.
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About the Authors
Radek Erban is Professor of Mathematics at the University of Oxford, a Fellow of Merton College, Oxford and a Royal Society University Research Fellow.
S. Jonathan Chapman is Professor of Mathematics and its Applications at the University of Oxford, and a Fellow of Mansfield College, Oxford.
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Stochastic Modelling of ReactionDiffusion Processes
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STOCHASTIC MODELLING OF REACTIONDIFFUSIO
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Stochastic Modelling of Reaction-Diffusion Processes: 60 (Cambridge Texts in Applied Mathematics, Series Number 60)
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Stochastic Modelling of Reaction?Diffusion Processes
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Stochastic Modelling of Reaction-Diffusion Processes (Cambridge Texts in Applied Mathematics, Series Number 60)
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Stochastic Modelling of Reaction-Diffusion Processes (Cambridge Texts in Applied Mathematics, Series Number 60)
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Stochastic Modelling of ReactionDiffusion Processes (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108498128
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Stochastic Modelling of Reaction?Diffusion Processes
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