12-Dec-2018 23:30:14

SVD_TRUNCATED_TEST:
  MATLAB version
  Demonstrate the use of the truncated or economy-size
  Singular Value Decomposition (SVD) for cases where
  the sizes of M and N are very different.

SVD_TRUNCATED_U_TEST
  M = 4
  N = 3

  A:

  Col:       1             2             3       
  Row
      1 :    0.768088       0.80281      0.572753  
      2 :    0.312844      0.517155     0.0512152  
      3 :    0.835924      0.109169      0.871256  
      4 :    0.732417     0.0218514      0.586025  

  Maximum error |A - U*S*V'| = 3.33067e-16

  Recomputed A = U * S * V':

  Col:       1             2             3       
  Row
      1 :    0.768088       0.80281      0.572753  
      2 :    0.312844      0.517155     0.0512152  
      3 :    0.835924      0.109169      0.871256  
      4 :    0.732417     0.0218514      0.586025  

SVD_TRUNCATED_V_TEST
  M = 3
  N = 4

  A:

  Col:       1             2             3             4       
  Row
      1 :    0.553992      0.799027      0.429492      0.756386  
      2 :     0.21045      0.541284      0.336607      0.544197  
      3 :    0.414106      0.935908      0.186981      0.790197  

  Maximum error |A - U*S*V'| = 2.77556e-16

  Recomputed A = U * S * V':

  Col:       1             2             3             4       
  Row
      1 :    0.553992      0.799027      0.429492      0.756386  
      2 :     0.21045      0.541284      0.336607      0.544197  
      3 :    0.414106      0.935908      0.186981      0.790197  

SVD_TRUNCATED_TEST:
  Normal end of execution.

12-Dec-2018 23:30:14