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Scientific Computing in Electrical Engineering = SCEE 2014, Wuppertal, Germany, July 2014 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Scientific Computing in Electrical Engineering/ edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten.
其他題名:	SCEE 2014, Wuppertal, Germany, July 2014 /
其他作者:	Bartel, Andreas.
面頁冊數:	XI, 256 p. 125 illus., 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-319-30399-4
ISBN:	9783319303994

Scientific Computing in Electrical Engineering = SCEE 2014, Wuppertal, Germany, July 2014 /
Scientific Computing in Electrical EngineeringSCEE 2014, Wuppertal, Germany, July 2014 /[electronic resource] :edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten. - 1st ed. 2016. - XI, 256 p. 125 illus., 67 illus. in color.online resource. - The European Consortium for Mathematics in Industry ;23. - The European Consortium for Mathematics in Industry ;21.

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.

ISBN: 9783319303994

Standard No.: 10.1007/978-3-319-30399-4doiSubjects--Topical Terms:

527886
Mathematical models.

LC Class. No.: TA342-343

Dewey Class. No.: 003.3

Scientific Computing in Electrical Engineering = SCEE 2014, Wuppertal, Germany, July 2014 /
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