pca_svd_6x4:
  Python version: 3.6.8
  Create a random 6x4 matrix.
  Get the SVD factorization of A.

  Matrix A:
[[-0.51851605  0.2661908   0.41520686 -1.60579586]
 [-0.7231424  -2.16927368 -0.59964635 -0.38576053]
 [-0.87250807 -0.2691545  -0.55997187 -0.02561112]
 [ 0.89205008  0.09450228 -0.27932736 -0.05712739]
 [ 0.00746424 -0.2296524  -0.32471668  1.75594012]
 [ 0.44042034  0.54371852  1.31701593 -0.41552031]]

  Norm of A =   4.062022211857306
  Norm of A0 =  0.8415783097829839
  Norm of Ac =  3.973886057516613

  Norm of A - U*S*V = 2.33716e-15

  Norm of A-A0 = 3.97389
  Norm of A-A1 = 2.86343
  Norm of A-A2 = 1.49475
  Norm of A-A3 = 0.961485
  Norm of A-A4 = 2.33716e-15

pca_svd_6x4:
  Normal end of execution.