IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-0-387-36721-7_10.html
   My bibliography  Save this book chapter

Global Optimization of Network Length and Simulation of Film Evolution

In: Models and Algorithms for Global Optimization

Author

Listed:
  • Vydūnas Šaltenis

    (Institute of Mathematics and Informatics)

Abstract

Summary An idealized thin film when subjected to some constraints acquires length-minimizing properties. The length-minimizing curve of the film may achieve a configuration close to the Steiner minimal tree in the Euclidean plane. The Steiner problem asks for the shortest network that spans a given set of fixed points in the Euclidean plane. The main idea is to use the mathematical model for an idealized wet film, connecting the fixed points with some liquid inside the film. Gradually decreasing the interior area, the film may achieve the globally optimal solution. A system of equations and an algorithm for simulating wet film evolution are presented here. Computational experiments and tests show the abilities of global optimization. The investigation of a simple case illustrates how the film evolution leads up to the global optimum.

Suggested Citation

  • Vydūnas Šaltenis, 2007. "Global Optimization of Network Length and Simulation of Film Evolution," Springer Optimization and Its Applications, in: Aimo Törn & Julius Žilinskas (ed.), Models and Algorithms for Global Optimization, pages 157-170, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-36721-7_10
    DOI: 10.1007/978-0-387-36721-7_10
    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 search for a similarly titled item that would be available.

    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:spochp:978-0-387-36721-7_10. 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.