Mathematical Modelling

Mathematical Modelling
by: Matti Heiliö (Author),Timo Lähivaara(Author),Erkki Laitinen(Author),Timo Mantere(Author),Jorma Merikoski(Author), Seppo Pohjolainen(Author, Editor), Kimmo Raivio (Author), Risto Silvennoinen (Author), Antti Suutala (Author), Tanja Tarvainen (Author), Timo Tiihonen (Author), Jukka Tuomela (Author), Esko Turunen (Author),Marko Vauhkonen (Author)&10more
Publisher: Springer
Edition: 1st ed. 2016
Publication Date: 2016/7/26
Language: English
Print Length: 253 pages
ISBN-10: 3319278347
ISBN-13: 9783319278346
Book Description
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.
About the Author
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. Read more