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: System Reduction for Nanoscale IC Design
  name:
    name part: Benner, Peter.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 197 p. 73 illus., 39 illus. in color. online resource.
  abstract: This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle. The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic ICs, and to test these methods in the practice of semiconductor development. Six chapters describe the challenges for numerical simulation of nanoelectronic circuits and suggest model reduction methods for constituting equations. These include linear and nonlinear differential equations tailored to circuit equations and drift diffusion equations for semiconductor devices. The performance of these methods is illustrated with numerical experiments using real-world data. Readers will benefit from an up-to-date overview of the latest model reduction methods in computational nanoelectronics.
  table of contents: Preface -- 1 Model order reduction of integrated circuits in electrical networks: Michael Hinze, Martin Kunkel, Ulrich Matthes, and Morten Vierling -- 2 Element-based model reduction in circuit simulation: Andreas Steinbrecher and Tatjana Stykel -- 3 Reduced Representation of Power Grid Models: Peter Benner and André Schneider -- 4 Coupling of numeric/symbolic reduction methods for generating parametrized models of nanoelectronic systems: Oliver Schmidt, Matthias Hauser, and Patrick Lang -- 5 Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: Matthias Bollhöfer and André K. Eppler -- Index.
  note: edited by Peter Benner.
  subject:
    topic: Mathematics
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Algorithms
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Electronics
  subject:
    topic: Microelectronics
  subject:
    topic: Mathematics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Electronics and Microelectronics, Instrumentation
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Algorithms
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  classification: QA71-90
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Mathematics in Industry, 20
  identifier: 9783319072364
  identifier: http://dx.doi.org/10.1007/978-3-319-07236-4
  record info:
    record creation date: 170602
    record change date: 20170602154812.0
    record identifier: 978-3-319-07236-4