Scientific Computing in Electrical Engineering : SCEE 2016, St. Wolfgang, Austria, October 2016
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The work Scientific Computing in Electrical Engineering : SCEE 2016, St. Wolfgang, Austria, October 2016 represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Scientific Computing in Electrical Engineering : SCEE 2016, St. Wolfgang, Austria, October 2016
Resource Information
The work Scientific Computing in Electrical Engineering : SCEE 2016, St. Wolfgang, Austria, October 2016 represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Scientific Computing in Electrical Engineering : SCEE 2016, St. Wolfgang, Austria, October 2016
 Title remainder
 SCEE 2016, St. Wolfgang, Austria, October 2016
 Statement of responsibility
 edited by Ulrich Langer, Wolfgang Amrhein, Walter Zulehner
 Subject

 Mathematical Modeling and Industrial Mathematics
 Electrical Engineering
 Theoretical, Mathematical and Computational Physics
 Simulation and Modeling
 Physics
 Electrical Engineering
 Mathematical models
 Electrical engineering
 Computer science  Mathematics
 Electrical engineering
 Computeraided engineering
 Mathematical models
 Electronic resources
 Physics
 Computer simulation
 Electrical Engineering
 Mathematics
 Computer simulation
 Computeraided engineering
 Computer science  Mathematics
 Physics
 Computer simulation
 Electrical engineering
 Mathematics
 Computational Science and Engineering
 Computeraided engineering
 ComputerAided Engineering (CAD, CAE) and Design
 Language
 eng
 Summary
 This collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St. Wolfgang, Austria, in 2016, showcases the state of the art in SCEE. The aim of the SCEE 2016 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote 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 focus in methodology was on model order reduction and uncertainty quantification. This extensive reference work is divided into six parts: Computational Electromagnetics, Circuit and Device Modeling and Simulation, Coupled Problems and Multi‐Scale Approaches in Space and Time, Mathematical and Computational Methods Including Uncertainty Quantification, Model Order Reduction, and Industrial Applications. Each part starts with a general introduction, followed by the respective contributions. This book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods
 Image bit depth
 0
 LC call number
 TA342343
 Literary form
 non fiction
 Series statement
 Mathematics in Industry,
 Series volume
 28
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