Overview
- Covers topics in scientific computing in electrical engineering from both academia and industry, as well as
- mathematics and electrical engineering perspective
- Shows state of the art in SCEE
- Includes advanced topics of MOR and UQ in methodology
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 23)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
Buy print copy
About this book
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 anduncertainty quantification.Similar content being viewed by others
Keywords
Table of contents (24 papers)
-
Device Modelling, Electric Circuits and Simulation
-
Computational Electromagnetics
-
Coupled Problems
Editors and Affiliations
Bibliographic Information
Book Title: Scientific Computing in Electrical Engineering
Book Subtitle: SCEE 2014, Wuppertal, Germany, July 2014
Editors: Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-319-30399-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30398-7Published: 10 May 2016
Softcover ISBN: 978-3-319-80800-0Published: 27 May 2018
eBook ISBN: 978-3-319-30399-4Published: 09 May 2016
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XI, 256
Number of Illustrations: 58 b/w illustrations, 67 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Computational Science and Engineering, Mathematical and Computational Engineering, Computer-Aided Engineering (CAD, CAE) and Design, Simulation and Modeling, Numerical and Computational Physics, Simulation