IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/129473.html
   My bibliography  Save this article

On the numerical solution of the diffusion equation with a nonlocal boundary condition

Author

Listed:
  • Mehdi Dehghan

Abstract

Parabolic partial differential equations with nonlocal boundary specifications feature in the mathematical modeling of many phenomena. In this paper, numerical schemes are developed for obtaining approximate solutions to the initial boundary value problem for one-dimensional diffusion equation with a nonlocal constraint in place of one of the standard boundary conditions. The method of lines (MOL) semidiscretization approach is used to transform the model partial differential equation into a system of first-order linear ordinary differential equations (ODEs). The partial derivative with respect to the space variable is approximated by a second-order finite-difference approximation. The solution of the resulting system of first-order ODEs satisfies a recurrence relation which involves a matrix exponential function. Numerical techniques are developed by approximating the exponential matrix function in this recurrence relation. We use a partial fraction expansion to compute the matrix exponential function via Pade approximations, which is particularly useful in parallel processing. The algorithm is tested on a model problem from the literature.

Suggested Citation

  • Mehdi Dehghan, 2003. "On the numerical solution of the diffusion equation with a nonlocal boundary condition," Mathematical Problems in Engineering, Hindawi, vol. 2003, pages 1-12, January.
  • Handle: RePEc:hin:jnlmpe:129473
    DOI: 10.1155/S1024123X03111015
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2003/129473.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2003/129473.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/S1024123X03111015?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammed N. Alshehri & Ashish Kumar & Pranay Goswami & Saad Althobaiti & Abdulrahman F. Aljohani, 2024. "Numerical Solution of Emden–Fowler Heat-Type Equations Using Backward Difference Scheme and Haar Wavelet Collocation Method," Mathematics, MDPI, vol. 12(23), pages 1-15, November.

    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:129473. 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.