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＜電子ブック＞
Progress in Industrial Mathematics at ECMI 2012 / edited by Magnus Fontes, Michael Günther, Nicole Marheineke
(The European Consortium for Mathematics in Industry. ISSN:29461871 ; 19)

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
本文言語	英語
大きさ	XXII, 460 p. 140 illus., 92 illus. in color : online resource
著者標目	Fontes, Magnus editor Günther, Michael editor Marheineke, Nicole editor SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Differential equations LCSH:Social sciences -- Mathematics  全ての件名で検索 LCSH:Mathematical optimization LCSH:Calculus of variations FREE:Mathematical Modeling and Industrial Mathematics FREE:Computational Mathematics and Numerical Analysis FREE:Differential Equations FREE:Mathematics in Business, Economics and Finance FREE:Calculus of Variations and Optimization
一般注記	Preface -- 25 Years of ECMI: A View Back to its Childhood -- Part I Circuits and Electromagnetic Devices -- Part II Environment -- Part III Fibers -- Part IV Flow -- Part V Medicine -- Part VI Robotics and Automotive Industry -- Part VII Further Applications -- Part VIII Methods -- Part IX Education This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range of applications and methods, from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leading figures in business, science and academia who promote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as being a catalyst for innovation as well as an overarching resource for industry and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers and scientists which will help them to solve similar problems, and offers modeling and simulation techniques that will provide mathematicians with a source of fresh ideas and inspiration HTTP:URL=https://doi.org/10.1007/978-3-319-05365-3

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