Computational Mathematical Modeling: An Integrated Approach Across Scales (Monographs on Mathematical Modeling and Computation, Series Number 17) - Softcover
Synopsis
Interesting real-world mathematical modelling problems are complex and can usually be studied at different scales. The scale at which the investigation is carried out is one of the factors that determines the type of mathematics most appropriate to describe the problem. The book concentrates on two modelling paradigms: the macroscopic, in which phenomena are described in terms of time evolution via ordinary differential equations; and the microscopic, which requires knowledge of random events and probability. The exposition is based on this unorthodox combination of deterministic and probabilistic methodologies, and emphasizes the development of computational skills to construct predictive models. To elucidate the concepts, a wealth of examples, self-study problems, and portions of MATLAB code used by the authors are included. This book, which has been extensively tested by the authors for classroom use, is intended for students in mathematics and the physical sciences at the advanced undergraduate level and above.
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About the Authors
Daniela Calvetti is a Professor of Mathematics at Case Western Reserve University. Her research interests include numerical linear algebra, large scale scientific computing, Bayesian statistical computing and modeling. She has published over 100 research papers and one monograph.
Erkki Somersalo is a Professor at Case Western Reserve University. His areas of expertise are computational inverse problems, statistical scientific computing, and fields and waves, in particular with applications to medical imaging. His work also includes applications in life sciences and medicine. He has published two monographs and over a hundred research papers.
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Computational Mathematical Modeling: An Integrated Approach Across Scales (Monographs on Mathematical Modeling and Computation, Series Number 17)
Published by
Society for Industrial and Appli, 2013
ISBN 10: 1611972477
ISBN 13: 9781611972474
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paperback. Condition: Good. Contains occasional marginalia and/or underlining. Light shelf wear. Else clean and tight. Seller Inventory # mon0000131322
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Computational Mathematical Modeling
Published by
Society for Industrial and Applied Mathematics,U.S., US, 2012
ISBN 10: 1611972477
ISBN 13: 9781611972474
New
Paperback
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Interesting, real-world mathematical modeling problems are complex and can usually be studied at different scales. The scale at which the investigation is carried out is one of the factors that determines the type of mathematics most appropriate to describe the problem. The book concentrates on two modeling paradigms: the macroscopic, in which the authors describe phenomena in terms of time evolution via ordinary differential equations, and the microscopic, which requires knowledge of random events and probability. The text emphasizes the development of computational skills to construct predictive models and analyze the results. To elucidate the concepts, a wealth of examples and portions of MATLAB? code used by the authors are included.Computational Mathematical Modeling: An Integrated Approach Across Scales:Is designed for classroom use, has been extensively tested by the authors, and has homework problems carefully designed to develop students' computational skills.Is based on an unorthodox combination of deterministic and probablistic methodologies that are naturally bridged through examples.Painlessly introduces students to advanced themes in a natural progression.Includes suggestions for further reading. Seller Inventory # LU-9781611972474
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Computational Mathematical Modeling
Published by
Society for Industrial and Applied Mathematics,U.S., US, 2012
ISBN 10: 1611972477
ISBN 13: 9781611972474
New
Paperback
Seller: Rarewaves.com UK, London, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Interesting, real-world mathematical modeling problems are complex and can usually be studied at different scales. The scale at which the investigation is carried out is one of the factors that determines the type of mathematics most appropriate to describe the problem. The book concentrates on two modeling paradigms: the macroscopic, in which the authors describe phenomena in terms of time evolution via ordinary differential equations, and the microscopic, which requires knowledge of random events and probability. The text emphasizes the development of computational skills to construct predictive models and analyze the results. To elucidate the concepts, a wealth of examples and portions of MATLAB? code used by the authors are included.Computational Mathematical Modeling: An Integrated Approach Across Scales:Is designed for classroom use, has been extensively tested by the authors, and has homework problems carefully designed to develop students' computational skills.Is based on an unorthodox combination of deterministic and probablistic methodologies that are naturally bridged through examples.Painlessly introduces students to advanced themes in a natural progression.Includes suggestions for further reading. Seller Inventory # LU-9781611972474
Buy New
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