Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108703003 ISBN 13: 9781108703000
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Paperback. Condizione: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108703003 ISBN 13: 9781108703000
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108703003 ISBN 13: 9781108703000
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108703003 ISBN 13: 9781108703000
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ISBN 10: 1108703003 ISBN 13: 9781108703000
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Aggiungi al carrelloCondizione: New. Über 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.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108703003 ISBN 13: 9781108703000
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108498124 ISBN 13: 9781108498128
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Lingua: Inglese
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ISBN 10: 1108703003 ISBN 13: 9781108703000
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Practical introduction for advanced undergraduate or beginning graduate students of applied mathematics, developed at the University of Oxford.
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ISBN 10: 1108498124 ISBN 13: 9781108498128
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ISBN 10: 1108498124 ISBN 13: 9781108498128
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ISBN 10: 1108498124 ISBN 13: 9781108498128
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ISBN 10: 1108498124 ISBN 13: 9781108498128
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Aggiungi al carrelloHardback. Condizione: 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.
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498124 ISBN 13: 9781108498128
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Aggiungi al carrelloCondizione: 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.
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ISBN 10: 1108498124 ISBN 13: 9781108498128
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Aggiungi al carrelloHardcover. Condizione: Brand New. 307 pages. 9.50x6.25x0.75 inches. In Stock.