Mathematical modeling with multidisciplinary applications
Mathematical modeling with multidisciplinary applications [electronic resource] /
edited by Xin-She Yang.
- Hoboken, N.J. : Wiley, 2013.
- xxxi, 557 p. : ill.
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"--
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
9781118462690 (electronic bk.)
Differential equations.
Mathematical models.
Electronic books.
QA371 / .M38 2013
510.1/1
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"--
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
9781118462690 (electronic bk.)
Differential equations.
Mathematical models.
Electronic books.
QA371 / .M38 2013
510.1/1