IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v31y1983i2p338-353.html
   My bibliography  Save this article

A Class of Variance-Constrained Problems

Author

Listed:
  • Moshe Sniedovich

    (National Research Institute for Mathematical Sciences, Pretoria, South Africa)

Abstract

A Lagrange multiplier solution procedure is developed for a class of variance-constrained problems. The method, based on the separation of the variance and an algorithm for determining the optimal value of the mean, relies on the availability of a method of solving a modified problem in which the variance operation is replaced by the generalized variance operator. It is indicated that the procedure can be used in conjunction with dynamic programming to solve a variety of variance-constrained problems which allow the consideration of adaptive strategies. The procedure is demonstrated by a simple numerical example.

Suggested Citation

  • Moshe Sniedovich, 1983. "A Class of Variance-Constrained Problems," Operations Research, INFORMS, vol. 31(2), pages 338-353, April.
  • Handle: RePEc:inm:oropre:v:31:y:1983:i:2:p:338-353
    DOI: 10.1287/opre.31.2.338
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.31.2.338
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.31.2.338?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
    ---><---

    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:inm:oropre:v:31:y:1983:i:2:p:338-353. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.