IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/3869062.html
   My bibliography  Save this article

Triangular Function Method is Adopted to Solve Nonlinear Stochastic It o^–Volterra Integral Equations

Author

Listed:
  • Guo Jiang
  • Dan Chen
  • Fugang Liu
  • Mijanur Rahaman Seikh

Abstract

This article presents the numerical solutions of nonlinear stochastic It o^–Volterra integral equations by using the basis function method under the global Lipschitz condition. Integral operator matrixes of triangular functions are used to convert the nonlinear stochastic integral equations into a system of algebraic equations. Meanwhile, we gain the error of the current method, and it is demonstrated that the error accuracy of this method is higher than that of the BPFs. In the end, the feasibility, accuracy, and validity of the current method are demonstrated by numerical results.

Suggested Citation

  • Guo Jiang & Dan Chen & Fugang Liu & Mijanur Rahaman Seikh, 2024. "Triangular Function Method is Adopted to Solve Nonlinear Stochastic It o^–Volterra Integral Equations," Discrete Dynamics in Nature and Society, Hindawi, vol. 2024, pages 1-15, July.
  • Handle: RePEc:hin:jnddns:3869062
    DOI: 10.1155/2024/3869062
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2024/3869062.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2024/3869062.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2024/3869062?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:jnddns:3869062. 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.