Tue May 20 22:34:39 2025

test_lls_test():
  python version: 3.10.12
  numpy version:  1.26.4
  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     4.686e-14
      4     3     5         232.1     3.772e-14         7.416         7.416             0     1.193e-13
      5    10    10             1          1823     1.534e+07     1.534e+07       1.2e-10     3.394e-10

test_lls_test():
  Normal end of execution.
Tue May 20 22:34:39 2025