IDEAS home Printed from https://ideas.repec.org/a/erv/ancoec/y2007i5p101-110.html
   My bibliography  Save this article

Resolución del método del simplex por máxima entropía

Author

Listed:
  • Mora Garcés, Manuel
  • Sánchez Moreno, Ricardo
  • Toledano Redondo, Javier

Abstract

The connexion between statistical mechanics basis of Gibbs and Shannon's information theory allows the application of Gibbs's formulas to the resolution of Simplex's problem by Shannon's Maximum Entropy Principle. The method, based in the minimal information that the objective of Simplex, in his optimal position, awards to restrictions ensembles, consists to change the variables for its consideration as probabilities, and then, in order to obtain the more probably p.d.f. (probability distribution function), maximize Shannon's entropy. A Boltzmann type distribution is reached. The solution is obtained from the p.d.f. turning out.

Suggested Citation

  • Mora Garcés, Manuel & Sánchez Moreno, Ricardo & Toledano Redondo, Javier, 2007. "Resolución del método del simplex por máxima entropía," Entelequia. Revista Interdisciplinar, Entelequia y Grupo Eumed.net (Universidad de Málaga), issue 5, pages 101-110, Fall.
  • Handle: RePEc:erv:ancoec:y:2007:i:5:p:101-110
    as

    Download full text from publisher

    File URL: http://www.eumed.net/entelequia/pdf/2007/e05a05.pdf
    Download Restriction: no

    File URL: http://www.eumed.net/entelequia/en.art.php?a=05a05
    Download Restriction: no

    More about this item

    Keywords

    Entropy; theory of information; Simplex method;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

    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:erv:ancoec:y:2007:i:5:p:101-110. 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: (Lisette Villamizar). General contact details of provider: http://www.eumed.net/entelequia/ .

    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.