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＜電子ブック＞
Mathematical Modelling / by Matti Heiliö, Timo Lähivaara, Erkki Laitinen, Timo Mantere, Jorma Merikoski, Seppo Pohjolainen, Kimmo Raivio, Risto Silvennoinen, Antti Suutala, Tanja Tarvainen, Timo Tiihonen, Jukka Tuomela, Esko Turunen, Marko Vauhkonen ; edited by Seppo Pohjolainen

版	1st ed. 2016.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2016
大きさ	XI, 242 p. 56 illus., 13 illus. in color : online resource
著者標目	*Heiliö, Matti author Lähivaara, Timo author Laitinen, Erkki author Mantere, Timo author Merikoski, Jorma author Pohjolainen, Seppo author Raivio, Kimmo author Silvennoinen, Risto author Suutala, Antti author Tarvainen, Tanja author Tiihonen, Timo author Tuomela, Jukka author Turunen, Esko author Vauhkonen, Marko author Pohjolainen, Seppo editor SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Engineering mathematics LCSH:Engineering—Data processing LCSH:Mathematics—Data processing LCSH:Computer simulation FREE:Mathematical Modeling and Industrial Mathematics FREE:Mathematical and Computational Engineering Applications FREE:Computational Science and Engineering FREE:Computer Modelling
一般注記	1 Introduction by S. Pohjolainen and M. Heiliö -- 2 Models and Applications by M. Heiliö -- 3 Viewpoints on Systems and Models by E. Laitinen -- 4 Integer Models by R. Silvennoinen and J. Merikoski -- 5 Data Based Models by J. Merikoski et al -- 6 Soft Computing Methods by E. Turunen et al -- 7 Dimensional Analysis by T. Tiihonen -- 8 Modelling With Differential Equations by J. Tuomela -- 9 Continuum Models by T. Tiihonen -- 10 Simplification of Models by T. Tiihonen -- 11 Acoustic Modelling by S. Pohjolainen and A. Suutala -- 12 Inverse Problems by M. Vauhkonen et al -- 13 Project Titles by M. Heiliö. 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. HTTP:URL=https://doi.org/10.1007/978-3-319-27836-0

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