Scientific Computing In Electrical Engineering: Scee 2014, Wuppertal, Germany, July 2014 (mathematics In Industry)
2016 / English / PDF
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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.
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.
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.
