Mathematical modeling with multidisciplinary applications [electronic resource] / edited by Xin-She Yang.

Contributor(s): Yang, Xin-She | ProQuest (Firm)Material type: TextTextPublication details: Hoboken, N.J. : Wiley, 2013Description: xxxi, 557 p. : illISBN: 9781118462690 (electronic bk.)Subject(s): Differential equations | Mathematical modelsGenre/Form: Electronic books.DDC classification: 510.1/1 LOC classification: QA371 | .M38 2013Online resources: Click to View
Contents:
pt. 1. Introduction and foundations -- pt. 2. Mathematical modeling with multidisciplinary applications -- pt. 3. Advanced modeling topics.
Summary: "This book details the interdisciplinary nature of mathematical modeling and numerical algorithms. It combines a variety of applications from diverse fields to illustrate how the methods can be used to model physical processes, design new products, find solutions to challenging problems, and increase competitiveness in international markets. Including case studies, worked examples, and exercises, it cover topics such as partial differential equations, fractional calculus, inverse problems by ODEs, semigroups, decision theory, risk analysis, Bayesian estimation, nonlinear PDEs in financial engineering, perturbation analysis, dynamic system modeling, and much more"-- Provided by publisher.
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Includes bibliographical references and index.

pt. 1. Introduction and foundations -- pt. 2. Mathematical modeling with multidisciplinary applications -- pt. 3. Advanced modeling topics.

"This book details the interdisciplinary nature of mathematical modeling and numerical algorithms. It combines a variety of applications from diverse fields to illustrate how the methods can be used to model physical processes, design new products, find solutions to challenging problems, and increase competitiveness in international markets. Including case studies, worked examples, and exercises, it cover topics such as partial differential equations, fractional calculus, inverse problems by ODEs, semigroups, decision theory, risk analysis, Bayesian estimation, nonlinear PDEs in financial engineering, perturbation analysis, dynamic system modeling, and much more"-- Provided by publisher.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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