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Scientific Computing in Electrical Engineering
Details
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.
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
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319808000
- Editor Andreas Bartel, E. Jan W. Ter Maten, Michael Günther, Markus Clemens
- Sprache Englisch
- Auflage Softcover reprint of the original 1st edition 2016
- Größe H235mm x B155mm x T15mm
- Jahr 2018
- EAN 9783319808000
- Format Kartonierter Einband
- ISBN 3319808001
- Veröffentlichung 27.05.2018
- Titel Scientific Computing in Electrical Engineering
- Untertitel SCEE 2014, Wuppertal, Germany, July 2014
- Gewicht 411g
- Herausgeber Springer International Publishing
- Anzahl Seiten 268
- Lesemotiv Verstehen
- Genre Mathematik