Mathematical Modelling (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2016
First published:	2016
Editors:	Seppo Pohjolainen
Authors:	Matti Heilioe • Timo Lahivaara • Erkki Laitinen • Timo Mantere • Jorma Merikoski • Seppo Pohjolainen • Kimmo Raivio • Risto Silvennoinen • Antti Suutala
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	242
Edition:	1st ed. 2016
ISBN-13:	978-3-319-27834-6
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-319-27834-7
Barcode:	9783319278346

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