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

Number of nonzeros in constraint Jacobian............:       68
Number of nonzeros in Lagrangian Hessian.............:      120

Total number of variables............................:        8
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:        0
Total number of inequality constraints...............:        8
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        8
        inequality constraints with only upper bounds:        0

iter    objective    inf_pr   inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls
   0  0.0000000e+00 9.48e+00 0.00e+00 1.98e-08  -1.0     -   0.00e+00  0  0 
   1r 0.0000000e+00 8.88e-16 9.99e+02 9.48e+00   1.0     -   9.72e-11  1  2R
   2r 0.0000000e+00 2.70e-15 9.28e-05 5.45e-05   1.0     -   4.22e-11  1  1f
   3  0.0000000e+00 1.09e+01 1.67e-04 1.27e-05  -1.0     -   1.57e-01  1  1f
   4  0.0000000e+00 2.31e+04 1.93e+03 8.31e-06  -1.0     -   5.00e-01  2  2h
   5  0.0000000e+00 3.81e+02 1.61e+02 7.12e-06  -1.0     -   1.00e+00  3  1h
   6  0.0000000e+00 2.13e+02 1.30e+02 5.04e-06  -1.0     -   4.96e-01  2  1h
   7  0.0000000e+00 5.74e+01 1.73e+02 2.43e-06  -1.0     -   1.00e+00  2  1h
   8  0.0000000e+00 7.03e+01 1.55e+02 1.62e-06  -1.0     -   5.00e-01  2  2h
   9  0.0000000e+00 3.75e+01 1.72e+02 9.83e-07  -1.0     -   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 7.89e+00 3.13e+02 1.16e-06  -1.0     -   1.00e+00  2  1h
  11  0.0000000e+00 2.03e+00 5.38e+01 1.05e-06  -1.0     -   1.00e+00  2  1h
  12  0.0000000e+00 1.42e-01 5.40e+00 1.01e-06  -1.0     -   1.00e+00  2  1h
  13  0.0000000e+00 3.53e-03 2.00e-01 1.00e-06  -1.0     -   1.00e+00  2  1h
  14  0.0000000e+00 8.02e-07 6.99e-04 1.00e-06  -1.7     -   1.00e+00  2  1h
  15  0.0000000e+00 3.61e-14 1.64e-06 1.00e-06  -5.7     -   1.00e+00  1  1h
  16  0.0000000e+00 2.43e-15 2.84e-14 2.51e-09  -8.6     -   1.00e+00  1  1h

Number of Iterations....: 16

                                   (scaled)                 (unscaled)
Objective...............:   0.0000000000000000e+00    0.0000000000000000e+00
Dual infeasibility......:   2.8421211639728818e-14    2.8421211639728818e-14
Constraint violation....:   2.4276982878307760e-15    2.4276982878307760e-15
Complementarity.........:   2.5080633823520036e-09    2.5080633823520036e-09
Overall NLP error.......:   2.5080633823520036e-09    2.5080633823520036e-09

Number of objective function evaluations              = 22
Number of objective gradient evaluations              = 17
Number of constraint evaluations                      = 22
Number of constraint Jacobian evaluations             = 18
Number of Lagrangian Hessian evaluations              = 16
Number of KKT factorizations                          = 17
Number of KKT backsolves                              = 33

Total wall secs in initialization                     =  0.014 s
Total wall secs in linear solver                      =  0.015 s
Total wall secs in NLP function evaluations           =  0.003 s
Total wall secs in solver (w/o init./fun./lin. alg.)  =  0.028 s
Total wall secs                                       =  0.060 s

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