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Scientific computing in electrical e...

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Scientific computing in electrical engineeringSCEE 2016, St. Wolfgang, Austria, October 2016 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Scientific computing in electrical engineeringedited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner.
其他題名:	SCEE 2016, St. Wolfgang, Austria, October 2016 /
其他題名:	SCEE 2016
其他作者:	Langer, Ulrich.
團體作者:
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xxviii, 266 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Electrical engineeringCongresses.Data processing
電子資源:	http://dx.doi.org/10.1007/978-3-319-75538-0
ISBN:	9783319755380$q(electronic bk.)

Scientific computing in electrical engineeringSCEE 2016, St. Wolfgang, Austria, October 2016 /
Scientific computing in electrical engineeringSCEE 2016, St. Wolfgang, Austria, October 2016 /[electronic resource] :SCEE 2016edited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner. - Cham :Springer International Publishing :2018. - xxviii, 266 p. :ill., digital ;24 cm. - Mathematics in industry,281612-3956 ;. - Mathematics in industry ;16..

Foreword -- Preface -- Acknowledgements -- Part I Computational Electromagnetics -- Part II Circuit and Device Modelling & Simulation -- Part III Coupled Problems and Multi-Scale Approaches in Space and Time -- Part IV Mathematical and Computational Methods Including Uncertainty Quantification -- Part V Model Order Reduction -- Part VI Industrial Applications -- Index.

This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St. Wolfgang, Austria, in 2016, showcases the state of the art in SCEE. The aim of the SCEE 2016 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote 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 focus in methodology was on model order reduction and uncertainty quantification. This extensive reference work is divided into six parts: Computational Electromagnetics, Circuit and Device Modeling and Simulation, Coupled Problems and Multi-Scale Approaches in Space and Time, Mathematical and Computational Methods Including Uncertainty Quantification, Model Order Reduction, and Industrial Applications. Each part starts with a general introduction, followed by the respective contributions. This book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.

ISBN: 9783319755380$q(electronic bk.)

Standard No.: 10.1007/978-3-319-75538-0doiSubjects--Topical Terms:

470611
Electrical engineering
--Data processing--Congresses.

LC Class. No.: TK5

Dewey Class. No.: 621.3015118

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