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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 001477854N
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 19460502-n
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 19460502
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781611972474
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 19460502-n
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 19460502
Quantity: 1 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781611972474
Quantity: 1 available
Seller: moluna, Greven, Germany
Condition: New. Über den AutorDaniela 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. Seller Inventory # 904511753
Seller: Webster's Bookstore Cafe, Inc., State College, PA, U.S.A.
paperback. Condition: Good. Contains occasional marginalia and/or underlining. Light shelf wear. Else clean and tight. Seller Inventory # mon0000131322
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - Designed for classroom use, this book has been extensively tested by the authors, and has homework problems carefully designed to develop students' computational skills. It is based on an unorthodox combination of deterministic and probablistic methodologies that are naturally bridged through examples and painlessly introduces students to advanced themes in a natural progression. Seller Inventory # 9781611972474