Προσθήκη στα αγαπημένα
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.
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.
Περιγραφή
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.
