02 July 2005 02:18:52 PM

TABLE_QUALITY (C++ version):
  Compute measures of uniform dispersion for a pointset.

  Compiled on Jul  2 2005 at 14:18:37.

  Note: this routine assumes that the input pointset
  is contained in the unit hypercube.  If this is not
  the case, then you must rewrite the routine
    SAMPLE_ROUTINE
  so that it properly returns sample points in your
  region, with a uniform density, or a probability
  density of your choosing.

  Triangulated data generates 185 triangles.

  Measures of uniform point dispersion.

  The pointset was read from "cvt_02_00100.txt".
  The sample routine will be SAMPLE_HYPERCUBE_UNIFORM.

  Spatial dimension DIM_NUM =      2
  The number of points N =         100
  The number of sample points NS = 100000
  The random number SEED_INIT =    123456789

  The minimum angle measure    ALPHA = 0.00181949
  Relative spacing deviation Beta    = 0.0549688
  The regularity measure         Chi = 1.70431
  2nd moment determinant measure   D = 2.89227e-08
  The Voronoi energy measure       E = 0.00164629
  The mesh ratio               Gamma = 1.27201
  The point distribution norm      H = 0.0795121
  The COV measure             Lambda = 0.0546932
  The point distribution ratio    Mu = 1.32292
  The cell volume deviation       Nu = 1.50688
  The triangle uniformity measure  Q = 7.72938e-09
  The Riesz S = 0 energy measure  R0 = 0.783189
  Nonintersecting sphere volume    S = 0.745551
  2nd moment trace measure       Tau = 0.000390796

  Minimum spacing          GAMMA_MIN = 1.08646e-311
  Average spacing          GAMMA_AVE = 0.0979534
  Maximum spacing          GAMMA_MAX = 1.08646e-311
  Spacing standard deviate GAMMA_STD = 0.00538438

TABLE_QUALITY:
  Normal end of execution.

02 July 2005 02:19:08 PM