18-Jul-2023 19:52:26

cvt_1d_sampling_test():
  MATLAB/Octave version 5.2.0.
  Test CVT_1D_SAMPLING().

cvt_1d_sampling():
  MATLAB/Octave version 5.2.0
  Generate a centroidal Voronoi tessellation (CVT)
  of the unit interval, using random starting points
  and random sampling to estimate Voronoi regions.

  Number of generators is 40
  Number of iterations is 400
  Number of samples is 1000

  Initial generators:

     1  0.010000
     2  0.010256
     3  0.010513
     4  0.010769
     5  0.011026
     6  0.011282
     7  0.011538
     8  0.011795
     9  0.012051
    10  0.012308
    11  0.012564
    12  0.012821
    13  0.013077
    14  0.013333
    15  0.013590
    16  0.013846
    17  0.014103
    18  0.014359
    19  0.014615
    20  0.014872
    21  0.015128
    22  0.015385
    23  0.015641
    24  0.015897
    25  0.016154
    26  0.016410
    27  0.016667
    28  0.016923
    29  0.017179
    30  0.017436
    31  0.017692
    32  0.017949
    33  0.018205
    34  0.018462
    35  0.018718
    36  0.018974
    37  0.019231
    38  0.019487
    39  0.019744
    40  0.020000

  Current generators:

     1  0.000761
     2  0.004111
     3  0.005465
     4  0.008479
     5  0.011742
     6  0.015781
     7  0.018976
     8  0.023837
     9  0.028068
    10  0.034877
    11  0.040226
    12  0.049196
    13  0.060439
    14  0.067869
    15  0.081820
    16  0.092492
    17  0.107476
    18  0.121633
    19  0.137167
    20  0.157092
    21  0.180191
    22  0.202971
    23  0.232269
    24  0.257274
    25  0.285588
    26  0.316515
    27  0.350278
    28  0.390844
    29  0.424847
    30  0.469906
    31  0.509899
    32  0.554098
    33  0.597527
    34  0.649758
    35  0.693969
    36  0.745349
    37  0.800953
    38  0.856696
    39  0.911513
    40  0.969943
  Graphics saved as "energy.png"
  Graphics saved as "motion.png"
  Graphics saved as "evolution.png"

cvt_1d_sampling():
  Normal end of execution.

cvt_1d_sampling_test():
  Normal end of execution.

18-Jul-2023 19:53:25