Methods of Mathematical Modelling

Thomas Witelski is a Professor of Mathematics at Duke University specializing in nonlinear partial differential equations and fluid dynamics. He is a long-time participant in many study groups on mathematical modelling and industrial problems. He is the co-Editor-in-Chief of the Journal of Engineering Mathematics and also serves on the editorial board for the European Journal of Applied Mathematics. Witelski received his Ph.D. in Applied Mathematics from the California Institute of Technology in 1995 and was a postdoctoral fellow at the Massachusetts Institute of Technology.Mark Bowen is an Associate Professor in the International Center for Science and Engineering Programs at Waseda University, where he teaches courses in differential equations and nonlinear dynamics. His expertise is in asymptotic analysis, nonlinear differential equations and fluid dynamics. He received his Ph.D. in Applied Mathematics in 1998 from the University of Nottingham.

• Rate equations.- Transport equations.- Variational principles.- Dimensional scaling analysis.- Self-similar scaling solutions of differential equations.- Perturbation methods.- Boundary layer theory.- Long-wave asymptotics for PDE problems.- Weakly-nonlinear oscillators.- Fast/slow dynamical systems.- Reduced models for PDE problems.- Modelling in applied fluid dynamics.

"The text is well written. The authors have provided a clear and concise presentation of many important topics in a way that should be accessible to students following a first course in differential equations. ... More advanced students could easily learn a significant amount of useful mathematics reading the text independently. ... Methods of Mathematical Modelling is a welcome addition to the SUMS series and should prove to be useful for many instructors and students." (Jason M. Graham, MAA Reviews, maa.org, February, 2016) "The purpose of this text is to introduce the reader to the art of mathematical modeling ... . The book provides an account of a number of useful for mathematical modelling techniques which are illustrated with examples and complemented with problems for self study." (Yuriy V. Rogovchenko, zbMATH 1333.00025, 2016)