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Herausgeber: 
  • Ulrich Langer
  • Walter Zulehner
  • Wolfgang Amrhein
  • Scientific Computing in Electrical Engineering: SCEE 2016, St. Wolfgang, Austria, October 2016 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2019  
    Genre:  Schulbücher 
     
    C / Computational Science and Engineering / Computer mathematics / Computer modelling & simulation / computer science / Computer simulation / Computer-Aided Design (CAD) / Computer-aided engineering / Computer-Aided Engineering (CAD, CAE) and Design / Electrical and Electronic Engineering / Electrical Engineering / Mathematical Modeling and Industrial Mathematics / Mathematical models / Mathematical physics / Mathematics and Statistics / Maths for engineers / Maths for scientists / Simulation and Modeling / Theoretical, Mathematical and Computational Physics
    ISBN:  9783030092597 
    EAN-Code: 
    9783030092597 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #28 - Mathematics in Industry
    The European Consortium for Mathematics in Industry  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  452 gr 
    Seiten:  296 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      
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