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Scientific Computing in Electrical Engineering -

Scientific Computing in Electrical Engineering

SCEE 2018, Taormina, Italy, September 2018
Buch | Softcover
XVI, 288 Seiten
2021 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-44103-6 (ISBN)
CHF 149,75 inkl. MwSt
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This collection of selected papers presented at the 12th International Conference on Scientific Computing in Electrical Engineering, SCEE 2018, held in Taormina, Sicily, Italy, in September 2018, showcases the state of the art in SCEE.

The aim of the SCEE 2018 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 of electromagnetic fields. 

This extensive reference work is divided into five parts: Computational Electromagnetics, Device Modeling and Simulation, Circuit Simulation, Mathematical and Computational Methods, Model Order Reduction. Each part starts with a general introduction, followed by the respective contributions. 

The 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.


Computational Electromagnetics.- Device Modeling and Simulation.- Circuit Simulation.- Mathematical and Computational Methods.- Model Order Reduction.- Index.

Erscheinungsdatum
Reihe/Serie Mathematics in Industry
The European Consortium for Mathematics in Industry
Zusatzinfo XVI, 288 p. 108 illus., 97 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 468 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Circuits • coupled problems • electromagnetics • electronic devices • Mathematical Methods • Model order reduction • Scientific Computing • uncertainty quantification
ISBN-10 3-030-44103-2 / 3030441032
ISBN-13 978-3-030-44103-6 / 9783030441036
Zustand Neuware
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