Mathematical modelling[electronic re...
Heilio, Matti.

 

  • Mathematical modelling[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 511.8
    書名/作者: Mathematical modelling/ by Matti Heilio ... [et al.]. ; edited by Seppo Pohjolainen.
    其他作者: Heilio, Matti.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xi, 242 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Mathematical models.
    標題: Mathematics.
    標題: Mathematical Modeling and Industrial Mathematics.
    標題: Appl.Mathematics/Computational Methods of Engineering.
    標題: Computational Science and Engineering.
    標題: Simulation and Modeling.
    ISBN: 9783319278360
    ISBN: 9783319278346
    內容註: 1 Introduction by S. Pohjolainen and M. Heilio -- 2 Models and Applications by M. Heilio -- 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. Heilio.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-27836-0
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