IDEAS home Printed from
   My bibliography  Save this paper

Simplex-like sequential methods for a class of generalized fractional programs


  • Laura Carosi
  • Laura Martein
  • Ezat Valipour


We deal with a class of generalized fractional programming problems having a polyhedral feasible region and as objective the ratio of an affine function and the power p > 0 of an affine one. We aim to propose simplex-like sequential methods for finding the global maximum points. As the objective function may have local maximum points not global, we analyze the theoretical properties of the problem; in particular, we study the maximal domains of the pseudoconcavity of the function. Depending on whether or not the objective is pseudoconcave on the feasible set, we suggest different algorithms.

Suggested Citation

  • Laura Carosi & Laura Martein & Ezat Valipour, 2013. "Simplex-like sequential methods for a class of generalized fractional programs," Discussion Papers 2013/168, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  • Handle: RePEc:pie:dsedps:2013/168

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Generalized fractional programming; Pseudoconcavity; Sequential methods.;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:pie:dsedps:2013/168. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.