14-May-2025 12:32:51

cvt_1d_sampling_test():
  MATLAB/Octave version 6.4.0.
  Test CVT_1D_SAMPLING().

cvt_1d_sampling():
  MATLAB/Octave version 6.4.0
  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  0.001494
     2  0.004638
     3  0.006310
     4  0.008296
     5  0.011107
     6  0.016214
     7  0.020145
     8  0.024866
     9  0.031691
    10  0.038218
    11  0.045566
    12  0.054714
    13  0.060171
    14  0.068536
    15  0.080850
    16  0.090047
    17  0.102538
    18  0.117146
    19  0.135850
    20  0.155669
    21  0.175617
    22  0.199781
    23  0.222945
    24  0.249497
    25  0.277894
    26  0.308316
    27  0.344099
    28  0.381636
    29  0.419739
    30  0.456781
    31  0.502760
    32  0.550629
    33  0.597524
    34  0.645420
    35  0.702349
    36  0.754049
    37  0.809990
    38  0.862061
    39  0.910293
    40  0.969799
  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.

14-May-2025 12:33:43