05209nam 22008055 450 991025406140332120200704072745.03-319-30399-610.1007/978-3-319-30399-4(CKB)3710000000657960(EBL)4526246(DE-He213)978-3-319-30399-4(MiAaPQ)EBC4526246(PPN)194074056(EXLCZ)99371000000065796020160509d2016 u| 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierScientific Computing in Electrical Engineering SCEE 2014, Wuppertal, Germany, July 2014 /edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (251 p.)The European Consortium for Mathematics in Industry ;23Description based upon print version of record.3-319-30398-8 Includes bibliographical references at the end of each chapters and indexes.Part I Device Modelling, Electric Circuits and Simulation -- Part II Computational Electromagnetics -- Part III Coupled Problems -- Part IV Model Order Reduction -- Part V Uncertainty Quantification.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="" learn="" about="" recent="" advances="" in="" other="" fields="" as="" well="" open="" problems="" coming="" from="" industry.="" moreover,="" be="" use="" representatives="" industry="" with="" an="" interest="" new="" program="" tools="" mathematical="" methods.The European Consortium for Mathematics in Industry ;23Mathematical modelsComputer mathematicsApplied mathematicsEngineering mathematicsComputer-aided engineeringComputer simulationPhysicsMathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Computational Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/M14026Mathematical and Computational Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T11006Computer-Aided Engineering (CAD, CAE) and Designhttps://scigraph.springernature.com/ontologies/product-market-codes/I23044Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Numerical and Computational Physics, Simulationhttps://scigraph.springernature.com/ontologies/product-market-codes/P19021Mathematical models.Computer mathematics.Applied mathematics.Engineering mathematics.Computer-aided engineering.Computer simulation.Physics.Mathematical Modeling and Industrial Mathematics.Computational Science and Engineering.Mathematical and Computational Engineering.Computer-Aided Engineering (CAD, CAE) and Design.Simulation and Modeling.Numerical and Computational Physics, Simulation.621.30285Bartel Andreasedthttp://id.loc.gov/vocabulary/relators/edtClemens Markusedthttp://id.loc.gov/vocabulary/relators/edtGünther Michaeledthttp://id.loc.gov/vocabulary/relators/edtter Maten E. Jan Wedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254061403321Scientific computing in electrical engineering1523618UNINA