IDEAS home Printed from https://ideas.repec.org/a/jfr/ijba11/v4y2013i6p90-95.html
   My bibliography  Save this article

Modeling the Duality Extraction for Linear Programming Models

Author

Listed:
  • Muwafaq M. Fendi AlKubaisi

Abstract

Many operations research (OR) textbooks have not tackled the problem of converting the various types of Linear Programming (LP) models (i.e. Maximization, Minimization and mixed Constraint Model)from its primal form to dual form. Furthermore, little attention has paid for showing how to extract the dual optimal solution. Extracting duality is of great importance when we tackle problems with mixed constraints models. The primary goal of this research is to demonstrate the methodology adopted in extracting all types of dual models and its optimal solution.

Suggested Citation

  • Muwafaq M. Fendi AlKubaisi, 2013. "Modeling the Duality Extraction for Linear Programming Models," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(6), pages 90-95, November.
    • Handle: RePEc:jfr:ijba11:v:4:y:2013:i:6:p:90-95
    as

    Download full text from publisher

    File URL: http://www.sciedu.ca/journal/index.php/ijba/article/view/3615/2130
    Download Restriction: no
    File URL: http://www.sciedu.ca/journal/index.php/ijba/article/view/3615
    Download Restriction: no
    ---><---

    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:jfr:ijba11:v:4:y:2013:i:6:p:90-95. 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: Jenny Zhang (email available below). General contact details of provider: http://ijba.sciedupress.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.