IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v328y2018icp171-188.html
   My bibliography  Save this article

Numerical solution of high-order Volterra–Fredholm integro-differential equations by using Legendre collocation method

Author

Listed:
  • Rohaninasab, N.
  • Maleknejad, K.
  • Ezzati, R.

Abstract

The main purpose of this paper is to use the Legendre collocation spectral method for solving the high-order linear Volterra–Fredholm integro-differential equations under the mixed conditions. Avoiding integration of both sides of the equation, we expressed mixed conditions as equivalent integral equations, by adding the neutral term to the equation. Error analysis for approximate solution and approximate derivatives up to order k of the solution is obtained in both L2 norm and L∞ norm. To illustrate the accuracy of the spectral method, some numerical examples are presented.

Suggested Citation

  • Rohaninasab, N. & Maleknejad, K. & Ezzati, R., 2018. "Numerical solution of high-order Volterra–Fredholm integro-differential equations by using Legendre collocation method," Applied Mathematics and Computation, Elsevier, vol. 328(C), pages 171-188.
  • Handle: RePEc:eee:apmaco:v:328:y:2018:i:c:p:171-188
    DOI: 10.1016/j.amc.2018.01.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300318300535
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2018.01.032?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Liu, Hongyan & Huang, Jin & Zhang, Wei, 2021. "Numerical algorithm based on extended barycentric Lagrange interpolant for two dimensional integro-differential equations," Applied Mathematics and Computation, Elsevier, vol. 396(C).
    2. Bogdan Căruntu & Mădălina Sofia Paşca, 2021. "The Polynomial Least Squares Method for Nonlinear Fractional Volterra and Fredholm Integro-Differential Equations," Mathematics, MDPI, vol. 9(18), pages 1-17, September.
    3. SAIRA & Wen-Xiu Ma, 2022. "An Approximation Method to Compute Highly Oscillatory Singular Fredholm Integro-Differential Equations," Mathematics, MDPI, vol. 10(19), pages 1-16, October.

    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:eee:apmaco:v:328:y:2018:i:c:p:171-188. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.