IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/2275.html
   My bibliography  Save this paper

A potential-function reduction algorithm for solving a linear program directly from an infeasible "warm start"

Author

Listed:
  • Freund, Robert Michael.

Abstract

Includes bibliographical references (p. 34-35).

Suggested Citation

  • Freund, Robert Michael., 1989. "A potential-function reduction algorithm for solving a linear program directly from an infeasible "warm start"," Working papers 3079-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  • Handle: RePEc:mit:sloanp:2275
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/2275
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anstreicher, K., 1989. "A Combined Phase I - Phase Ii Scaled Potential Algorithm For Linear Programming," LIDAM Discussion Papers CORE 1989039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Freund, Robert Michael., 1988. "Polynomial-time algorithms for linear programming based only on primal scaling and projected gradients of a potential function," Working papers 2048-88., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Michael J. Todd & Yinyu Ye, 1988. "A Centered Projective Algorithm for Linear Programming," Cowles Foundation Discussion Papers 861, Cowles Foundation for Research in Economics, Yale University.
    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. Alireza Asadi & Cornelis Roos, 2016. "Infeasible Interior-Point Methods for Linear Optimization Based on Large Neighborhood," Journal of Optimization Theory and Applications, Springer, vol. 170(2), pages 562-590, August.
    2. Kurt M. Anstreicher & Jun Ji & Florian A. Potra & Yinyu Ye, 1999. "Probabilistic Analysis of an Infeasible-Interior-Point Algorithm for Linear Programming," Mathematics of Operations Research, INFORMS, vol. 24(1), pages 176-192, February.
    3. Wadhwa, Hitendra K. S. (Hitendra Kumar Singh) & Freund, Robert Michael., 1992. "Implementation and combined empirical study of combined Phase I-Phase II potential reduction algorithm for linear programming," Working papers 3411-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Bertsimas, Dimitris. & Luo, Xiaodong., 1993. "On the worst case complexity of potential reduction algorithms for linear programming," Working papers 3558-93., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Bosch, Ronald J. & Ye, Yinyu & Woodworth, George G., 1995. "A convergent algorithm for quantile regression with smoothing splines," Computational Statistics & Data Analysis, Elsevier, vol. 19(6), pages 613-630, June.
    6. Huhn, Petra & Wehlitz, Verena, 2009. "Average case complexity results for a centering algorithm for linear programming problems under Gaussian distributions," European Journal of Operational Research, Elsevier, vol. 194(2), pages 377-389, April.

    More about this item

    Keywords

    HD28 .M414 no.3079-; 89;

    JEL classification:

    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:mit:sloanp:2275. 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: None (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.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.