LEADER 04861nam 22008055 450 001 9910254061403321 005 20251113205013.0 010 $a3-319-30399-6 024 7 $a10.1007/978-3-319-30399-4 035 $a(CKB)3710000000657960 035 $a(EBL)4526246 035 $a(DE-He213)978-3-319-30399-4 035 $a(MiAaPQ)EBC4526246 035 $a(PPN)194074056 035 $a(EXLCZ)993710000000657960 100 $a20160509d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScientific Computing in Electrical Engineering $eSCEE 2014, Wuppertal, Germany, July 2014 /$fedited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (251 p.) 225 1 $aThe European Consortium for Mathematics in Industry,$x2946-1871 ;$v23 300 $aDescription based upon print version of record. 311 08$a3-319-30398-8 320 $aIncludes bibliographical references at the end of each chapters and indexes. 327 $aPart I Device Modelling, Electric Circuits and Simulation -- Part II Computational Electromagnetics -- Part III Coupled Problems -- Part IV Model Order Reduction -- Part V Uncertainty Quantification. 330 $aThis 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.