Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014

The Resource Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014
Label
Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014
Title remainder
SCEE 2014, Wuppertal, Germany, July 2014
Statement of responsibility
edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten
Creator
Contributor
Editor
Subject
Language
eng
Summary
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. This book will appeal to mathematicians and electrical engineers. It offers a valuable starting point for developers of algorithms programs who want to learn about recent advances in other fields as well as open problems coming from industry.--
Member of
Assigning source
Provided by publisher
Image bit depth
0
Literary form
non fiction
Series statement
Mathematics in Industry,
Series volume
23

Context

Context of Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014

Work of

Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by European University Institute. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...