IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v46y2000i7p999-1008.html
   My bibliography  Save this article

A New Algebraic Geometry Algorithm for Integer Programming

Author

Listed:
  • Dimitris Bertsimas

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Georgia Perakis

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Sridhar Tayur

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

We propose a new algorithm for solving integer programming (IP) problems that is based on ideas from algebraic geometry. The method provides a natural generalization of the Farkas lemma for IP, leads to a way of performing sensitivity analysis, offers a systematic enumeration of all feasible solutions, and gives structural information of the feasible set of a given IP. We provide several examples that offer insights on the algorithm and its properties.

Suggested Citation

  • Dimitris Bertsimas & Georgia Perakis & Sridhar Tayur, 2000. "A New Algebraic Geometry Algorithm for Integer Programming," Management Science, INFORMS, vol. 46(7), pages 999-1008, July.
  • Handle: RePEc:inm:ormnsc:v:46:y:2000:i:7:p:999-1008
    DOI: 10.1287/mnsc.46.7.999.12033
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.46.7.999.12033
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.46.7.999.12033?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
    ---><---

    References listed on IDEAS

    as
    1. Rekha R. Thomas, 1995. "A Geometric Buchberger Algorithm for Integer Programming," Mathematics of Operations Research, INFORMS, vol. 20(4), pages 864-884, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hartillo-Hermoso, María Isabel & Jiménez-Tafur, Haydee & Ucha-Enríquez, José María, 2020. "An exact algebraic ϵ-constraint method for bi-objective linear integer programming based on test sets," European Journal of Operational Research, Elsevier, vol. 282(2), pages 453-463.
    2. J. Cole Smith & Churlzu Lim & Aydın Alptekinoğlu, 2009. "New product introduction against a predator: A bilevel mixed‐integer programming approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(8), pages 714-729, December.
    3. Castro, F. & Gago, J. & Hartillo, I. & Puerto, J. & Ucha, J.M., 2011. "An algebraic approach to integer portfolio problems," European Journal of Operational Research, Elsevier, vol. 210(3), pages 647-659, May.
    4. Sridhar Tayur, 2017. "OM Forum—An Essay on Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 526-533, October.

    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. Andreas S. Schulz & Robert Weismantel, 2002. "The Complexity of Generic Primal Algorithms for Solving General Integer Programs," Mathematics of Operations Research, INFORMS, vol. 27(4), pages 681-692, November.
    2. Hartillo-Hermoso, María Isabel & Jiménez-Tafur, Haydee & Ucha-Enríquez, José María, 2020. "An exact algebraic ϵ-constraint method for bi-objective linear integer programming based on test sets," European Journal of Operational Research, Elsevier, vol. 282(2), pages 453-463.
    3. Robert Weismantel, 1998. "Test sets of integer programs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 47(1), pages 1-37, February.
    4. Aardal, K. & van Hoesel, C.P.M. & Lenstra, J.K. & Stougie, L., 1997. "A decade of combinatorial optimization," Research Memorandum 023, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

    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:ormnsc:v:46:y:2000:i:7:p:999-1008. 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: 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.