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Mathematical Modelling

  • Textbook
  • © 2016

Overview

  • 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

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Table of contents (13 chapters)

Keywords

About this book

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.  



                        

Reviews

“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)  

  

Authors, Editors and Affiliations

  • Tampere University of Technology Department of Mathematics, Tampere, Finland

    Seppo Pohjolainen

  • School on Engineering Science, Lappeenranta University of Technology, Lappeenranta, Finland

    Matti Heiliö

  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland

    Timo Lähivaara, Tanja Tarvainen, Marko Vauhkonen

  • Department of Mathematical Sciences, University of Oulu, Oulu, Finland

    Erkki Laitinen

  • Department of Computer Science, University of Vaasa, Vaasa, Finland

    Timo Mantere

  • School of Information Sciences, University of Tampere, Tampere, Finland

    Jorma Merikoski

  • Department of Mathematics, Tampere University of Technology, Tampere, Finland

    Seppo Pohjolainen, Risto Silvennoinen, Antti Suutala, Esko Turunen

  • Huawei Technologies, Helsinki, Finland

    Kimmo Raivio

  • Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Timo Tiihonen

  • Department of Physics and Mathematics, University of Eastern Finland, Joensuu, Finland

    Jukka Tuomela

About the editor

Seppo Pohjolainen received his PhD degree in applied mathematics in 1980 from Tampere University of Technology (TUT). In 1998 he was appointed as a professor in mathematics at TUT.   

His research interests include mathematical control theory, distributed parameter systems, mathematical modelling and simulation, development and use of information technology to support learning. Currently he is leading a nationwide network in Finland on teaching mathematical modelling on the Internet. He has led several national and international research projects and written a number of journal articles and conference papers on all these fields. 

 


                          

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