IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/9053754.html
   My bibliography  Save this article

SOR-Like New Iterative Method for Solving the Epidemic Model and the Prey and Predator Problem

Author

Listed:
  • Atika Radid
  • Karim Rhofir

Abstract

Our aim in this paper is to propose an SOR-like new iterative method by introducing a relaxation parameter to improve the new iterative method proposed by Daftardar-Gejji and Jafari (NIM) [J. Math. Anal. Appl. 316 (2006) 753–763] in order to solve two problems. The first one is the problem of the spread of a nonfatal disease in a population which is assumed to have constant size over the period of the epidemic, and the other one is the problem of prey and predator. The proposed method is not limited to these two problems but can be applicable to a wide range of systems of nonlinear functional problem. The results, for different values of , show that we found some known methods and our method compared to methods using the calculation of special polynomials and derivatives like the Adomian decomposition method (ADM), the calculation of the Lagrange multiplier as in the variational iterative method (VIM), or the construction of a homotopy as in the homotopy perturbation method (HPM) has several advantages, such as very effective and very simple to implement. Unfortunately, these methods do not guarantee a valid approximation in large time interval. To overcome this, we applied our method for approximating the solution of the problems in a sequence of time intervals as a multistage approach. Some numerical results are presented with plots according to the parameter .

Suggested Citation

  • Atika Radid & Karim Rhofir, 2020. "SOR-Like New Iterative Method for Solving the Epidemic Model and the Prey and Predator Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-13, September.
  • Handle: RePEc:hin:jnddns:9053754
    DOI: 10.1155/2020/9053754
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2020/9053754.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2020/9053754.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/9053754?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:9053754. 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.