Wed May 15 15:49:20 2024

normal_dataset_test():
  python version: 3.10.12
  numpy version:  1.26.4
  Run normal_dataset with given input.

normal_dataset():
  Generate a multivariate normal random dataset.

  The program requests input values from the user:

  * M, the spatial dimension,
  * N, the number of points to generate,
  * RNG, the current random number generator.
  * MU, the mean vector of length M.
  * A, the MxM positive definite symmetric variance-covariance matrix.

  The program generates the data and writes it to the file

    normal_M_N.txt

  where "M" and "N" are the numeric values.

  Spatial dimension M =  2
  Number of points N =  1000

  The mean vector MU:

     0:             1
     1:             2

  The variance-covariance matrix A:

  Col:       0             1       
  Row
      0 :           1             0  
      1 :           0             3  

  The data was written to "normal_2_1000.txt'
  Graphics saved as "normal_2_1000.png"

normal_dataset_test():
  Normal end of execution.
Wed May 15 15:49:21 2024