IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v440y2023ics0096300322007342.html
   My bibliography  Save this article

Error bounds in the computation of outer inverses with generalized Schultz iterative methods and its use in computing of Moore-Penrose inverse

Author

Listed:
  • Zontini, Diego D.
  • Mirkoski, Maikon L.
  • Santos, João A.F.

Abstract

An error bound in computing of outer inverses is established in each iteration of the generalized Schultz iterative methods. With this error bound, we built class of iterative method for the calculation of the Moore-Penrose inverse, the class of methods uses these error bounds to generate monotonic inclusion interval matrices which congerges to Moore-Penrose inverse, this process using intervals prevents that round-off errors cause the divergence of the method. Theorems with the error bounds as well as the convergence of the new iterative scheme are proved. Numerical examples are presented to demonstrate the efficacy of the new class of methods.

Suggested Citation

  • Zontini, Diego D. & Mirkoski, Maikon L. & Santos, João A.F., 2023. "Error bounds in the computation of outer inverses with generalized Schultz iterative methods and its use in computing of Moore-Penrose inverse," Applied Mathematics and Computation, Elsevier, vol. 440(C).
  • Handle: RePEc:eee:apmaco:v:440:y:2023:i:c:s0096300322007342
    DOI: 10.1016/j.amc.2022.127664
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300322007342
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2022.127664?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. Stanimirović, Predrag S. & Roy, Falguni & Gupta, Dharmendra K. & Srivastava, Shwetabh, 2020. "Computing the Moore-Penrose inverse using its error bounds," Applied Mathematics and Computation, Elsevier, vol. 371(C).
    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. Kansal, Munish & Kumar, Sanjeev & Kaur, Manpreet, 2022. "An efficient matrix iteration family for finding the generalized outer inverse," Applied Mathematics and Computation, Elsevier, vol. 430(C).

    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:eee:apmaco:v:440:y:2023:i:c:s0096300322007342. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.