IDEAS home Printed from https://ideas.repec.org/p/boc/norl13/2.html
   My bibliography  Save this paper

Mathematical Optimization in Stata: LP and MILP

Author

Listed:
  • Choonjoo Lee

    (Korea National Defense University)

Abstract

In this presentation, we present a procedure and an illustrative application of user-written mathematical optimization programs-Linear Programming(LP) and Mixed Integer Linear Programming(MILP). The LP and MILP programs in Stata will allow researchers to easily access the Stata system and to conduct not only the statistical optimization procedure but also the mathematical optimization. Unfortunately, to date no mathematical programming options for optimization are available in Stata, but a statistical model is available. The user-written mathematical optimization approach in Stata will provide some possible future extensions of non-parametric optimization programming.

Suggested Citation

  • Choonjoo Lee, 2013. "Mathematical Optimization in Stata: LP and MILP," 2013 Stata Conference 2, Stata Users Group.
  • Handle: RePEc:boc:norl13:2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:boc:norl13:2. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.