IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-69777-0_80.html

A Single-Pass Scheme for the Mean Curvature Motion of Convex Curves

In: Numerical Mathematics and Advanced Applications

Author

Listed:
  • E. Carlini

    (Università Sapienza di Roma, Dipartimento di Matematica)

Abstract

A new algorithm to solve the stationary level set equation describing the Mean Curvature Motion of convex curve is presented. This algorithm is a single pass scheme obtained by coupling the min-max type discrete operator for the MCM equation with the fast marching level set for the Eikonal equation. An adaption of the step, approximating the characteristics, is required to obtain an accurate method. Here an adaptive strategy is proposed.

Suggested Citation

  • E. Carlini, 2008. "A Single-Pass Scheme for the Mean Curvature Motion of Convex Curves," Springer Books, in: Karl Kunisch & Günther Of & Olaf Steinbach (ed.), Numerical Mathematics and Advanced Applications, pages 671-678, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-69777-0_80
    DOI: 10.1007/978-3-540-69777-0_80
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-3-540-69777-0_80. 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.