Springer | Mathematics | August 15, 2016 | ISBN-10: 3319278347 | 242 pages | pdf | 4.68 mb
Authors: Heiliö, M., Lähivaara, T., Laitinen, E., Mantere, T., Merikoski, J., Pohjolainen, S., Raivio, K., Silvennoinen, R., Suutala, A., Tarvainen, T., Tiihonen, T., Tuomela, J., Turunen, E., Vauhkonen, M.
Editors: Pohjolainen, Seppo (Ed.)
Covers the most important classical and modern methods of mathematical modelling
Can be used as textbook or as complimentary material in mathematical modelling courses
Contains 31 project titles as well as 124 problems sets
This book provides a thorough introduction to the challenge of applying mathematics in real-world scenarios. Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sciences, or engineering. In keeping with this spirit of modelling, the book includes a wealth of cross-references between the chapters and frequently points to the real-world context.
The book combines classical approaches to modelling with novel areas such as soft computing methods, inverse problems, and model uncertainty. Attention is also paid to the interaction between models, data and the use of mathematical software. The reader will find a broad selection of theoretical tools for practicing industrial mathematics, including the analysis of continuum models, probabilistic and discrete phenomena, and asymptotic and sensitivity analysis.
Number of Illustrations and Tables
43 b/w illustrations, 13 illustrations in colour
Mathematical Modeling and Industrial Mathematics
Appl. Mathematics / Computational Methods of Engineering
Computational Science and Engineering
Simulation and Modeling
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