IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v180y2019i3d10.1007_s10957-018-1429-8.html
   My bibliography  Save this article

A Note on Tropical Linear and Integer Programs

Author

Listed:
  • Peter Butkovič

    (University of Birmingham)

Abstract

We present a new, simple compact proof of the known strong duality theorem of tropical linear programming with one-sided constraints. This result together with properties of subeigenvectors enables us to directly solve a special tropical linear program with two-sided constraints. We also study the duality gap in tropical integer linear programming. A direct solution is available for the primal problem. An algorithm of quadratic complexity is presented for the dual problem. A direct solution is available provided that all coefficients of the objective function are integer. This solution provides a good estimate of the optimal objective function value in the general case.

Suggested Citation

  • Peter Butkovič, 2019. "A Note on Tropical Linear and Integer Programs," Journal of Optimization Theory and Applications, Springer, vol. 180(3), pages 1011-1026, March.
  • Handle: RePEc:spr:joptap:v:180:y:2019:i:3:d:10.1007_s10957-018-1429-8
    DOI: 10.1007/s10957-018-1429-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-018-1429-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10957-018-1429-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. J. Hoffman, 1963. "On abstract dual linear programs," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 10(1), pages 369-373, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolai Krivulin, 2017. "Direct solution to constrained tropical optimization problems with application to project scheduling," Computational Management Science, Springer, vol. 14(1), pages 91-113, January.
    2. Nikolai Krivulin, 2020. "Tropical optimization technique in bi-objective project scheduling under temporal constraints," Computational Management Science, Springer, vol. 17(3), pages 437-464, October.

    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:spr:joptap:v:180:y:2019:i:3:d:10.1007_s10957-018-1429-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.