IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v272y2016ip1p20-27.html
   My bibliography  Save this article

Limits of level and parameter dependent subdivision schemes: A matrix approach

Author

Listed:
  • Charina, Maria
  • Conti, Costanza
  • Guglielmi, Nicola
  • Protasov, Vladimir

Abstract

In this paper, we present a new matrix approach for the analysis of subdivision schemes whose non-stationarity is due to linear dependency on parameters whose values vary in a compact set. Indeed, we show how to check the convergence in Cℓ(Rs) and determine the Hölder regularity of such level and parameter dependent schemes efficiently via the joint spectral radius approach. The efficiency of this method and the important role of the parameter dependency are demonstrated on several examples of subdivision schemes whose properties improve the properties of the corresponding stationary schemes.

Suggested Citation

  • Charina, Maria & Conti, Costanza & Guglielmi, Nicola & Protasov, Vladimir, 2016. "Limits of level and parameter dependent subdivision schemes: A matrix approach," Applied Mathematics and Computation, Elsevier, vol. 272(P1), pages 20-27.
  • Handle: RePEc:eee:apmaco:v:272:y:2016:i:p1:p:20-27
    DOI: 10.1016/j.amc.2015.08.120
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300315012011
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2015.08.120?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. Conti, Costanza, 2010. "Stationary and nonstationary affine combination of subdivision masks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(3), pages 623-635.
    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. Viscardi, Alberto, 2023. "Optimized dual interpolating subdivision schemes," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    2. Samsul Ariffin Abdul Karim & Faheem Khan & Ghulam Mustafa & Aamir Shahzad & Muhammad Asghar, 2023. "An Efficient Computational Approach for Computing Subdivision Depth of Non-Stationary Binary Subdivision Schemes," Mathematics, MDPI, vol. 11(11), pages 1-12, May.

    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.

      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:272:y:2016:i:p1:p:20-27. 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.