IDEAS home Printed from https://ideas.repec.org/a/spr/coopap/v92y2025i1d10.1007_s10589-025-00701-z.html
   My bibliography  Save this article

The cosine measure relative to a subspace

Author

Listed:
  • Charles Audet

    (Polytechnique Montréal)

  • Warren Hare

    (University of British Columbia)

  • Gabriel Jarry-Bolduc

    (Mount Royal University)

Abstract

The cosine measure was introduced in 2003 to quantify the richness of finite positive spanning sets of directions in the context of derivative-free directional methods. A positive spanning set is a set of vectors whose nonnegative linear combinations span the whole space. The present work extends the definition of cosine measure. In particular, the paper studies cosine measures relative to a subspace, and proposes a deterministic algorithm to compute it. The paper also studies the situation in which the set of vectors is infinite. The extended definition of the cosine measure might be useful for subspace decomposition methods.

Suggested Citation

  • Charles Audet & Warren Hare & Gabriel Jarry-Bolduc, 2025. "The cosine measure relative to a subspace," Computational Optimization and Applications, Springer, vol. 92(1), pages 125-153, September.
  • Handle: RePEc:spr:coopap:v:92:y:2025:i:1:d:10.1007_s10589-025-00701-z
    DOI: 10.1007/s10589-025-00701-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10589-025-00701-z
    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/s10589-025-00701-z?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:coopap:v:92:y:2025:i:1:d:10.1007_s10589-025-00701-z. 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.