Scientific Computing in Electrical Engineering - SCEE 2014, Wuppertal, Germany, July 2014 (Paperback, Softcover reprint of the original 1st ed. 2016)

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 and uncertainty quantification.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Mathematics in Industry, 23
Release date:	May 2018
First published:	2016
Editors:	Andreas Bartel • Markus Clemens • Michael Gunther • E. Jan W. Ter Maten
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	256
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80800-0
Categories:	Books > Science & Mathematics > Physics > General Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Promotions
LSN:	3-319-80800-1
Barcode:	9783319808000

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