rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Scientific Computing in Electrical Engineering
    sub title: SCEE 2014, Wuppertal, Germany, July 2014
  name:
    name part: Bartel, Andreas.
    role:
      role term: editor.
  name:
    name part: Clemens, Markus.
    role:
      role term: editor.
  name:
    name part: Günther, Michael.
    role:
      role term: editor.
  name:
    name part: ter Maten, E. Jan W.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 256 p. 125 illus., 67 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Andreas Bartel, Markus Clemens, Michael Günther, E. Jan W. ter Maten.
  subject:
    topic: Mathematics
  subject:
    topic: Computer simulation
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Physics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Numerical and Computational Physics
  classification: TA342-343
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Mathematics in Industry, 23
  identifier: 9783319303994
  identifier: http://dx.doi.org/10.1007/978-3-319-30399-4
  record info:
    record creation date: 160509
    record change date: 20160509175947.0
    record identifier: 978-3-319-30399-4