Scientific Computing in Electrical Engineering : SCEE 2018, Taormina, Italy, September 2018 / edited by Giuseppe Nicosia, Vittorio Romano

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: The European Consortium for Mathematics in Industry ; 32Publisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XVI, 288 p. 108 illus., 97 illus. in color.)ISBN:

9783030441012

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Additional physical formats: 9783030441005 | 9783030441029 | 9783030441036 | Erscheint auch als: 9783030441005 Druck-Ausgabe | Erscheint auch als: 9783030441029 Druck-Ausgabe | Erscheint auch als: 9783030441036 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-44101-2Online resources:

Summary: Computational Electromagnetics -- Device Modeling and Simulation -- Circuit Simulation -- Mathematical and Computational Methods -- Model Order Reduction -- Index.Summary: 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.PPN: PPN: 1734625775Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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