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＜電子ブック＞
Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014 / edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten
(The European Consortium for Mathematics in Industry. ISSN:29461871 ; 23)

版	1st ed. 2016.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2016
本文言語	英語
大きさ	XI, 256 p. 125 illus., 67 illus. in color : online resource
著者標目	Bartel, Andreas editor Clemens, Markus editor Günther, Michael editor ter Maten, E. Jan W editor SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 LCSH:Computer-aided engineering LCSH:Computer simulation LCSH:Mathematical physics FREE:Mathematical Modeling and Industrial Mathematics FREE:Computational Science and Engineering FREE:Mathematical and Computational Engineering Applications FREE:Computer-Aided Engineering (CAD, CAE) and Design FREE:Computer Modelling FREE:Theoretical, Mathematical and Computational Physics
一般注記	Part I Device Modelling, Electric Circuits and Simulation -- Part II Computational Electromagnetics -- Part III Coupled Problems -- Part IV Model Order Reduction -- Part V Uncertainty Quantification This book is a collection of selected papers presented at the 10th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Wuppertal, Germany in 2014. The book is divided into five parts, reflecting the main directions of SCEE 2014: 1. Device Modeling, Electric Circuits and Simulation, 2. Computational Electromagnetics, 3. Coupled Problems, 4. Model Order Reduction, and 5. Uncertainty Quantification. Each part starts with a general introduction followed by the actual papers. The aim of the SCEE 2014 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, with the goal of fostering intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The methodological focus was on model order reduction and uncertainty quantification. <this book="" will="" appeal="" to="" mathematicians="" and="" electrical="" engineers.="" it="" offers="" a="" valuable="" starting="" point="" for="" developers="" of="" algorithms="" programs="" who="" want="" learn="" about="" recent="" advances="" in="" other="" fields="" as="" well="" open="" problems="" coming="" from="" industry.="" moreover,="" be="" use="" representatives="" industry="" with="" an="" interest="" new="" program="" tools="" mathematical="" methods HTTP:URL=https://doi.org/10.1007/978-3-319-30399-4

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