IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5574403.html
   My bibliography  Save this article

Convergence Analysis of Schwarz Waveform Relaxation for Nonlocal Diffusion Problems

Author

Listed:
  • Ke Li
  • Dali Guo
  • Yunxiang Zhao

Abstract

Diffusion equations with Riemann–Liouville fractional derivatives are Volterra integro-partial differential equations with weakly singular kernels and present fundamental challenges for numerical computation. In this paper, we make a convergence analysis of the Schwarz waveform relaxation (SWR) algorithms with Robin transmission conditions (TCs) for these problems. We focus on deriving good choice of the parameter involved in the Robin TCs, at the continuous and fully discretized level. Particularly, at the space-time continuous level, we show that the derived Robin parameter is much better than the one predicted by the well-understood equioscillation principle. At the fully discretized level, the problem of determining a good Robin parameter is studied in the convolution quadrature framework, which permits us to precisely capture the effects of different temporal discretization methods on the convergence rate of the SWR algorithms. The results obtained in this paper will be preliminary preparations for our further study of the SWR algorithms for integro-partial differential equations.

Suggested Citation

  • Ke Li & Dali Guo & Yunxiang Zhao, 2021. "Convergence Analysis of Schwarz Waveform Relaxation for Nonlocal Diffusion Problems," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-25, July.
  • Handle: RePEc:hin:jnlmpe:5574403
    DOI: 10.1155/2021/5574403
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/5574403.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2021/5574403.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/5574403?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:5574403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.