Tue Oct 19 17:25:02 2021

test_lls_test()
  Python version.
  Test test_lls().

ls_data_test
  Get each least squares test and compute the maximum residual.
  The L2 norm of the residual MUST be no greater than
  the L2 norm of the right hand side, else 0 is a better solution.

  Number of problems = 6

  Index     M     N         ||B||         ||X||         ||R||

      1     5     3         6.205         5.461         1.075
      2     6     3         537.6         194.8         5.222
      3     5     3         40.37         10.84     5.477e-07
      4     3     5         232.1         7.416             0
      5    10    10             1     1.534e+07       1.2e-10
      6    10    10             1             1     4.773e-16

lstsq_test
  lstsq() is the NUMPY LINALG least squares solver.

  Number of problems = 6

  Index     M     N         ||B||     ||X1-X2||         ||X1||        ||X2||        ||R1||        ||R2||

      1     5     3         6.205     2.861e-08         5.461         5.461         1.075         1.075
      2     6     3         537.6     5.416e-05         194.8         194.8         5.222         5.222
      3     5     3         40.37     5.092e-08         10.84         10.84     5.477e-07      2.93e-14
      4     3     5         232.1     2.485e-14         7.416         7.416             0      8.71e-14
      5    10    10             1          1332     1.534e+07     1.534e+07       1.2e-10     9.331e-10

test_lls_test()
  Normal end of execution.
Tue Oct 19 17:25:02 2021