IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v263y2015icp165-170.html
   My bibliography  Save this article

Numerical solution of Volterra integral-algebraic equations using block pulse functions

Author

Listed:
  • Balakumar, V.
  • Murugesan, K.

Abstract

This paper presents a method for computing numerical solutions for linear Volterra integral-algebraic equations using block pulse functions. The problem is transformed to a linear lower triangular system of algebraic equations using the operational matrix associated with block pulse functions. Convergence result and numerical examples are presented to illustrate the efficiency and applicability of the method.

Suggested Citation

  • Balakumar, V. & Murugesan, K., 2015. "Numerical solution of Volterra integral-algebraic equations using block pulse functions," Applied Mathematics and Computation, Elsevier, vol. 263(C), pages 165-170.
    • Handle: RePEc:eee:apmaco:v:263:y:2015:i:c:p:165-170
    DOI: 10.1016/j.amc.2015.04.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300315004932
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2015.04.035?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.

    References listed on IDEAS

    as
    1. K. Maleknejad & H. Safdari & M. Nouri, 2011. "Numerical solution of an integral equations system of the first kind by using an operational matrix with block pulse functions," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(1), pages 195-199.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Darania, P. & Pishbin, S., 2023. "Multistep collocation methods for integral-algebraic equations with non-vanishing delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 33-61.
    2. Sohrabi, S. & Ranjbar, H., 2019. "On Sinc discretization for systems of Volterra integral-algebraic equations," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 193-204.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:263:y:2015:i:c:p:165-170. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.