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: Reduced Order Methods for Modeling and Computational Reduction
  name:
    name part: Quarteroni, Alfio.
    role:
      role term: editor.
  name:
    name part: Rozza, Gianluigi.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 334 p. online resource.
  abstract: This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects. This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.
  table of contents: 1 W. H. A. Schilders, A. Lutowska: A novel approach to model order reduction for coupled multiphysics problems -- 2 A. C. Ionita, A. C. Antoulas: Case study. Parametrized Reduction using Reduced-Basis and the Loewner Framework -- 3 M. Bebendorf, Y. Maday, B. Stamm: Comparison of some reduced representation approximations -- 4 H. Antil, M. Heinkenschloss, D. C. Sorensen: Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric System -- 5 K. Urban, S. Volkwein, O. Zeeb: Greedy Sampling using Nonlinear Optimization -- 6 P. Benner, L. Feng: A Robust Algorithm for Parametric Model Order Reduction based on Implicit Moment Matching -- 7 F. Chen, J. S. Hesthaven, X. Zhu: On the use of reduced basis methods to accelerate and stabilize the Parareal method -- 8 C. Farhat, D. Amsallem: On the stability of reduced-order linearized computational fluid dynamics models based on POD and Galerkin projection: descriptor vs non-descriptor forms -- 9 T. Lassila, A. Manzoni, A. Quarteroni, G. Rozza: Model Order Reduction in Fluid Dynamics: Challenges and Perspectives -- 10 L. Grinberg, M. Deng, A. Yakhot, G. Karniadakis: Window Proper Orthogonal Decomposition. Application to Continuum and Atomistic Data -- 11 M. Bergmann, T. Colin, A. Iollo, D. Lombardi, O. Saut, H. Telib: Reduced order models at work in Aeronautics and Medicine.
  note: edited by Alfio Quarteroni, Gianluigi Rozza.
  subject:
    topic: Mathematics
  subject:
    topic: Numerical analysis
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Physics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Continuum mechanics
  subject:
    topic: Mathematics
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Numeric Computing
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Continuum Mechanics and Mechanics of Materials
  subject:
    topic: Numerical and Computational Physics
  classification: QA71-90
  classification: 518
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: MS&A - Modeling, Simulation and Applications, 9
  identifier: 9783319020907
  identifier: http://dx.doi.org/10.1007/978-3-319-02090-7
  record info:
    record creation date: 140605
    record change date: 20151204171055.0
    record identifier: 978-3-319-02090-7