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＜電子ブック＞
Progress in Industrial Mathematics at ECMI 2006 / edited by Luis L. Bonilla, Miguel Moscoso, Gloria Platero, Jose M. Vega
(The European Consortium for Mathematics in Industry. ISSN:29461871 ; 12)

版	1st ed. 2008.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2008
本文言語	英語
大きさ	XXI, 988 p : online resource
著者標目	Bonilla, Luis L editor Moscoso, Miguel editor Platero, Gloria editor Vega, Jose M editor SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Differential equations LCSH:Numerical analysis LCSH:Probabilities LCSH:Statistics  FREE:Computational Mathematics and Numerical Analysis FREE:Differential Equations FREE:Computational Science and Engineering FREE:Numerical Analysis FREE:Probability Theory FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記	Plenary Lectures -- Minisymposia -- Contributed Papers ECMI is synonymous with European Mathematics for Industry and organizes successful biannual conferences. The 14th European Conference for Mathematics in Industry held in Leganés (Madrid) focused on Aerospace, Information and Communications, Materials, Energy and Environment, Imaging, Biology and Biotechnology, Life Sciences, Finances and other topics including Education in Industrial Mathematics and web learning. Attendees came from all over the world. Overall, these proceedings give a lively overview of the importance of mathematical modeling, analysis and numerical methods when addressing and solving problems from today’s real world applications. The accessible presentation of real problems from industry and finance, modeling, solutions via appropriate numerical and mathematical techniques are a source of fresh ideas and inspiration for mathematicians. Engineers and scientists in application fields may find useful ideas and techniques presented in familiar contexts that may help them to solve related problems in industry. Educators may find discussions of novel teaching experiences and examples from industrial contexts that could be useful devising curricula which include industrial mathematics and web learning HTTP:URL=https://doi.org/10.1007/978-3-540-71992-2

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