IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i18p2951-d1747967.html
   My bibliography  Save this article

An Implementation of the Python Code for Computing the Independent Number of Genus Graphs

Author

Listed:
  • Sana Anjum

    (Department of Mathematics, GC University, Faisalabad 38000, Pakistan)

  • Amal S. Alali

    (Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

Abstract

The computation of the independent number is a fundamental problem in graph theory. It has many applications, including route planning, computer graphics, network analysis, computational biology, and network architecture. Particularly in computational biology, it provides a powerful mathematical tool for modeling tumor robustness and optimizing cancer treatment. In this article, an algorithmic method for computing the independent number of genus graphs is presented. Moreover, a Python (version 3.10.5) implementation has been provided for constructing genus graphs and computing their independent number.

Suggested Citation

  • Sana Anjum & Amal S. Alali, 2025. "An Implementation of the Python Code for Computing the Independent Number of Genus Graphs," Mathematics, MDPI, vol. 13(18), pages 1-13, September.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:18:p:2951-:d:1747967
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/18/2951/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/18/2951/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jmathe:v:13:y:2025:i:18:p:2951-:d:1747967. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.