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Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014 / edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten.

Springer Nature - Springer Mathematics and Statistics eBooks 2016 English International Available online

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Format:
Book
Conference/Event
Contributor:
Bartel, Andreas., Editor.
Clemens, Markus., Editor.
Günther, Michael., Editor.
ter Maten, E. Jan W., Editor.
Conference Name:
Scientific Computing in Electrical Engineering (2014 : Wuppertal, Germany)
Series:
The European Consortium for Mathematics in Industry, 2946-1871 ; 23
Language:
English
Subjects (All):
Mathematical models.
Mathematics--Data processing.
Mathematics.
Engineering mathematics.
Engineering--Data processing.
Engineering.
Computer-aided engineering.
Computer simulation.
Mathematical physics.
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Mathematical and Computational Engineering Applications.
Computer-Aided Engineering (CAD, CAE) and Design.
Computer Modelling.
Theoretical, Mathematical and Computational Physics.
Local Subjects:
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Mathematical and Computational Engineering Applications.
Computer-Aided Engineering (CAD, CAE) and Design.
Computer Modelling.
Theoretical, Mathematical and Computational Physics.
Physical Description:
1 online resource (251 p.)
Edition:
1st ed. 2016.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
Summary:
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.
Contents:
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.
Notes:
Description based upon print version of record.
Includes bibliographical references at the end of each chapters and indexes.
ISBN:
3-319-30399-6

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