IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v31y2016i2d10.1007_s10878-014-9762-9.html
   My bibliography  Save this article

On the best possible competitive ratio for the multislope ski-rental problem

Author

Listed:
  • Hiroshi Fujiwara

    (Shinshu University)

  • Takuma Kitano

    (Denso Create Inc.)

  • Toshihiro Fujito

    (Toyohashi University of Technology)

Abstract

The multislope ski-rental problem is an extension of the classical ski-rental problem, where the player has several lease options besides the pure rent and buy options. In this problem the hardness of an instance, which is the setting of options, significantly affects the player’s performance. There is an algorithm that for a given instance, computes the best possible strategy. However, the output is given as numerical values and therefore the relational nature between an instance and the best possible performance for it has not been known. In this paper we prove that even for the easiest instance, a competitive ratio smaller than $$e/(e - 1) \approx 1.58$$ e / ( e - 1 ) ≈ 1.58 cannot be achieved. More precisely, a tight lower bound on the best possible performance is obtained in a closed form parametrized by the number of options. Furthermore, we establish a matching upper and lower bound on the competitive ratio each for the 3-option and 4-option problems.

Suggested Citation

  • Hiroshi Fujiwara & Takuma Kitano & Toshihiro Fujito, 2016. "On the best possible competitive ratio for the multislope ski-rental problem," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 463-490, February.
  • Handle: RePEc:spr:jcomop:v:31:y:2016:i:2:d:10.1007_s10878-014-9762-9
    DOI: 10.1007/s10878-014-9762-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-014-9762-9
    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/s10878-014-9762-9?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.

    Citations

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


    Cited by:

    1. Yong Zhang & Jiahao Li & Xingyu Yang & Xiaohui Wang, 2022. "Lease or financial lease? Deterministic strategies for on-line financial lease problem with the second-hand transaction," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1248-1264, September.
    2. Xin Feng & Chengbin Chu, 2022. "Online leasing problem with price fluctuations and the second-hand transaction," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1280-1297, July.

    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:jcomop:v:31:y:2016:i:2:d:10.1007_s10878-014-9762-9. 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: 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.