S jonathan chapman (38 Ergebnisse)

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Zustand: New. Num Pages: 151 pages, biography. BIC Classification: DSA; DSBF; DSBH. Category: (G) General (US: Trade). Dimension: 216 x 140 x 10. Weight in Grams: 217. . 1989. 1st ed. 1989. Paperback. . . . .

paperback. Zustand: New. In shrink wrap. Looks like an interesting title.

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Zustand: New. Num Pages: 151 pages, biography. BIC Classification: DSA; DSBF; DSBH. Category: (G) General (US: Trade). Dimension: 216 x 140 x 10. Weight in Grams: 217. . 1989. 1st ed. 1989. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 307 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: New. &Uumlber den AutorRadek Erban is Professor of Mathematics at the University of Oxford, a Fellow of Merton College, Oxford and a Royal Society University Research Fellow.Inhaltsverzeichnis1. Stochastic simulat.

Taschenbuch. Zustand: Neu. Neuware - 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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Zustand: New. In English.

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Hardback. Zustand: New. 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.…

Hardcover. Zustand: Brand New. 307 pages. 9.50x6.25x0.75 inches. In Stock.

Zustand: 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 un.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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