Scientific Computing in Electrical Engineering

SCEE 2014, Wuppertal, Germany, July 2014

Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten (Herausgeber)

Buch | Hardcover

XI, 256 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-30398-7 (ISBN)

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This book is a collection of selected papers presented at the 10thInternational Conference on Scientific Computing in Electrical Engineering(SCEE), held in Wuppertal, Germany in 2014. The book is divided into fiveparts, reflecting the main directions of SCEE 2014: 1. Device Modeling,Electric Circuits and Simulation, 2. Computational Electromagnetics, 3. CoupledProblems, 4. Model Order Reduction, and 5. UncertaintyQuantification. Each part starts with a general introduction followed bythe actual papers.

The aim of the SCEE 2014 conference was to bring together scientistsfrom academia and industry, mathematicians, electrical engineers, computerscientists, and physicists, with the goal of fostering intensive discussions onindustrially relevant mathematical problems, with an emphasis on the modelingand numerical simulation of electronic circuits and devices, electromagneticfields, and coupled problems. The methodological focus was on model orderreduction anduncertainty quantification.

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.

Erscheinungsdatum	08.10.2016
Reihe/Serie	Mathematics in Industry
Reihe/Serie	The European Consortium for Mathematics in Industry
Zusatzinfo	XI, 256 p. 125 illus., 67 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Appl.Mathematics/Computational Methods of Engineer • computational science and engineering • Computer-Aided Engineering (CAD, CAE) and Design • coupled problems • Electrical Engineering • Mathematical Modeling and Industrial Mathematics • mathematics and statistics • Model order reduction • Numerical and Computational Physics • Scientific Computing • Simulation and modeling • uncertainty quantification
ISBN-10	3-319-30398-8 / 3319303988
ISBN-13	978-3-319-30398-7 / 9783319303987
Zustand	Neuware