Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014
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The work Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014 represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014
Resource Information
The work Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014 represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.
- 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
- 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.--
- Assigning source
- Provided by publisher
- Image bit depth
- 0
- Literary form
- non fiction
- Series statement
- Mathematics in Industry,
- Series volume
- 23
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/QJKOIguP110/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/QJKOIguP110/">Scientific Computing in Electrical Engineering : SCEE 2014, Wuppertal, Germany, July 2014</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>