cvtp


cvtp, a MATLAB code which creates a Centroidal Voronoi Tessellations of a periodic region (CVTP).

A 2D unit logical torus is the unit square, but with "wraparound". This is the connectivity frequently seen in video games, in which a spaceship flies off the top of the screen and immediately reappears at the bottom of the screen. In the general M-dimensional case, the extreme minimum and maximum values of each coordinate are identified, and modular arithmetic may be used to determine distances.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

cvtp is available in a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

cvt, a MATLAB code which computes a Centroidal Voronoi Tessellation.

cvtm_1d, a MATLAB code which estimates a mirror-periodic centroidal Voronoi Tessellation (CVTM) in the periodic interval [0,1], using a version of Lloyd's iteration.

cvtp, a dataset directory which contains examples of CVTP's, that is, Centroidal Voronoi Tessellations on a periodic domain.

cvtp_test

cvtp_1d, a MATLAB code which estimates a periodic centroidal Voronoi Tessellation (CVTP) in the periodic interval [0,1], using a version of Lloyd's iteration.

Reference:

  1. Franz Aurenhammer,
    Voronoi diagrams - a study of a fundamental geometric data structure,
    ACM Computing Surveys,
    Volume 23, Number 3, pages 345-405, September 1991.
  2. John Burkardt, Max Gunzburger, Janet Peterson, Rebecca Brannon,
    User Manual and Supporting Information for Library of Codes for Centroidal Voronoi Placement and Associated Zeroth, First, and Second Moment Determination,
    Sandia National Laboratories Technical Report SAND2002-0099,
    February 2002.
  3. Qiang Du, Vance Faber, Max Gunzburger,
    Centroidal Voronoi Tessellations: Applications and Algorithms,
    SIAM Review, Volume 41, 1999, pages 637-676.
  4. Lili Ju, Qiang Du, Max Gunzburger,
    Probabilistic methods for centroidal Voronoi tessellations and their parallel implementations,
    Parallel Computing,
    Volume 28, 2002, pages 1477-1500.

Source Code:


Last revised on 15 December 2018.