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. This 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 and has been extensively tested by the authors. The homework problems have been carefully designed to develop students computational skills. The book is based on an unorthodox combination of deterministic and probablistic methodologies that are naturally bridged through examples; it painlessly introduces students to advanced themes in a natural progression and includes suggestions for further reading.

**Audience:** This book is intended for advanced undergraduate and beginning graduate students in mathematics, engineering, and physical and life sciences.

Contents Chapter 1: Review of Multivariate Calculus and Differential Equations; Chapter 2: Compartment Models; Chapter 3: From Compartment Models to Continuous Models; Chapter 4: Dimensional Analysis and Scaling; Chapter 5: Introduction to Stochastic Modeling; Chapter 6: Modeling of Noise; Chapter 7: Modeling with Waiting Processes; Chapter 8: Markov Processes; Chapter 9: Cellular Automata, Agent Based Modeling

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A textbook that guides the reader through the mathematical modelling of real-world phenomena at both macroscopic and microscopic scales. The book, which emphasises computational skills, includes examples, self-study problems and MATLAB code to aid learning. Suitable for students in mathematics and the physical sciences at advanced undergraduate level and above.

**Daniela Calvetti** is 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 one hundred research papers and a monograph.

**Erkki Somersalo** is Professor of Mathematics 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. His publications include two monographs and over one hundred articles.

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**Book Description **Society for Industrial & Applied Mathematics,U.S., United States, 2013. Paperback. Condition: New. Language: English. Brand new Book. 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 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. Seller Inventory # AAN9781611972474

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**Book Description **Society for Industrial Applied Mathematics,U.S., United States, 2013. Paperback. Condition: New. Language: English . Brand New Book. 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 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. Seller Inventory # AAN9781611972474

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