This is MadNLP version v0.12.0, running with cuDSS v1.0.0

Number of nonzeros in constraint Jacobian............:       28
Number of nonzeros in Lagrangian Hessian.............:        0

Total number of variables............................:       20
                     variables with only lower bounds:        0
                variables with lower and upper bounds:       20
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:       14
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:       12
        inequality constraints with only upper bounds:        2

iter    objective    inf_pr   inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls
   0  0.0000000e+00 1.50e-02 1.00e+00 2.59e+04  -1.0     -   0.00e+00  0  0 
   1  0.0000000e+00 1.50e-02 7.43e-04 5.34e-01  -1.0     -   1.00e-07  1  2h
   2  0.0000000e+00 1.50e-04 6.24e-05 2.22e-01  -1.7   -4.0  9.90e-01  1  1h
   3  0.0000000e+00 9.92e-07 1.55e-02 1.42e-01  -1.7   -4.5  9.98e-01  1  1h
   4  0.0000000e+00 5.08e-06 1.19e-01 5.30e-02  -2.5   -5.0  1.00e+00  1  1f
   5  0.0000000e+00 2.77e-06 2.59e-02 1.53e-02  -2.5   -5.4  5.00e-01  1  2f
   6  0.0000000e+00 3.82e-08 7.13e-03 1.02e-02  -3.8   -5.9  1.00e+00  1  1h
   7  0.0000000e+00 4.79e-08 1.27e-01 3.82e-03  -3.8   -6.4  1.00e+00  1  1f
   8  0.0000000e+00 4.64e-08 4.53e-01 2.19e-03  -3.8   -6.9  1.00e+00  2  1f
   9  0.0000000e+00 4.54e-08 1.54e-08 4.26e-06  -3.8   -7.3  1.00e+00  2  1h
iter    objective    inf_pr   inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls
  10  0.0000000e+00 9.01e-09 1.36e+00 3.46e-06  -8.6   -6.0  1.00e+00  1  1h
  12  0.0000000e+00 1.59e-08 5.38e-01 1.72e-06  -8.6     -   7.03e-01  1 22R
  12r 0.0000000e+00 8.27e-25 5.54e+02 3.80e-06  -8.0     -   1.99e-48 10 22f
  13  0.0000000e+00 7.80e-09 3.75e-02 2.64e-06  -8.6   -6.1  1.11e-01  1  1f
  14  0.0000000e+00 3.05e-10 1.86e-01 6.56e-07  -8.6   -5.6  9.54e-01  1  1h
  15  0.0000000e+00 3.05e-10 5.61e-01 4.81e-09  -8.6   -6.1  4.88e-04  1 12f
  16  0.0000000e+00 4.23e-11 8.53e-11 2.74e-09  -8.6   -6.6  1.00e+00  1  1h

Number of Iterations....: 16

                                   (scaled)                 (unscaled)
Objective...............:   0.0000000000000000e+00    0.0000000000000000e+00
Dual infeasibility......:   8.5252190139894879e-11    8.5252190139894879e-11
Constraint violation....:   4.2320576544252414e-11    4.2320576544252414e-11
Complementarity.........:   2.7437980383595544e-09    2.7437980383595544e-09
Overall NLP error.......:   2.7437980383595544e-09    2.7437980383595544e-09

Number of objective function evaluations              = 52
Number of objective gradient evaluations              = 17
Number of constraint evaluations                      = 52
Number of constraint Jacobian evaluations             = 18
Number of Lagrangian Hessian evaluations              = 16
Number of KKT factorizations                          = 35
Number of KKT backsolves                              = 109

Total wall secs in initialization                     =  0.014 s
Total wall secs in linear solver                      =  0.043 s
Total wall secs in NLP function evaluations           =  0.003 s
Total wall secs in solver (w/o init./fun./lin. alg.)  =  0.034 s
Total wall secs                                       =  0.094 s

EXIT: Optimal Solution Found (tol = 1.0e-08).