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Scientific Computing in Electrical Engineering

SCEE 2014, Wuppertal, Germany, July 2014

  • Conference proceedings
  • © 2016

Overview

  • 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

Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 23)

Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)

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Table of contents (24 papers)

  1. Device Modelling, Electric Circuits and Simulation

  2. Computational Electromagnetics

  3. Coupled Problems

  4. Model Order Reduction

Keywords

About this book

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.

Editors and Affiliations

  • Applied Math. & Numerical Analysis, Bergische Universität Wuppertal, Wuppertal, Germany

    Andreas Bartel, Michael Günther, E. Jan W. ter Maten

  • Chair of Electromagnetic Theory, Bergische Universität Wuppertal, Wuppertal, Germany

    Markus Clemens

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