Mathematical Modelling
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Beschreibung
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.
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
Autor*in
Seppo Pohjolainen
Themen in »Mathematical Modelling«
acoustical modeling data based models differential equations dimensional analysis dontinuum models fuzzy logic genetic algorithms integer models inverse problems mathematical modelling network models neural computation perturbation methods soft computing teaching of modelling
Stimmen zu »Mathematical Modelling«
“Mathematical modelling is a product of several different contributors, all from Finnish universities. The result is a text used by over 2,000 students. … This is an excellent book, written with a myriad of interesting and very practical problems and applications. The contributors to the text are obviously scientific scholars who are elegantly educated.” (James Van Speybroeck, Computing Reviews, March, 2017)
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