This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 486404 Number of nonzeros in Lagrangian Hessian.............: 1510400 Total number of variables............................: 102405 variables with only lower bounds: 51203 variables with lower and upper bounds: 51202 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 76804 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 76804 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 -1.0100000e+00 3.50e-02 2.00e+00 1.75e+00 -1.0 - 0.00e+00 0 0 1 -1.0100018e+00 3.50e-02 9.40e+00 3.69e-02 -1.0 - 2.00e-07 2 1h 2 -1.0106536e+00 3.49e-02 6.95e-02 3.65e-04 -1.0 - 2.15e-03 3 1h 3 -1.0194398e+00 7.96e-03 3.38e-01 4.24e-04 -2.5 - 9.86e-01 6 1h 4 -1.0047960e+00 3.31e-03 2.13e+03 4.23e-04 -2.5 - 5.92e-01 3 1h 5 -1.0039724e+00 9.05e-04 1.02e+04 3.19e-04 -2.5 - 7.48e-01 2 1h 6 -1.0037804e+00 2.61e-04 9.44e+04 2.42e-04 -2.5 - 7.11e-01 2 1h 7 -1.0001611e+00 1.21e-04 2.06e+04 2.30e-04 -2.5 - 5.39e-01 2 1h 8 -1.0023133e+00 3.02e-05 1.38e+05 2.29e-04 -2.5 - 7.49e-01 2 1h 9 -1.0098349e+00 1.42e-06 1.95e+04 1.80e-04 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -1.0094887e+00 9.00e-07 1.54e+04 8.53e-05 -2.5 - 3.67e-01 2 1h 11 -1.0088378e+00 8.33e-09 1.82e+03 2.00e-05 -2.5 - 1.00e+00 2 1h 12 -1.0085043e+00 2.98e-08 1.72e+02 6.41e-06 -2.5 - 1.00e+00 2 1f 13 -1.0079643e+00 5.99e-08 3.60e+02 2.95e-06 -2.5 - 1.00e+00 2 1f 14 -1.0078148e+00 1.08e-08 4.11e+00 2.02e-06 -2.5 - 1.00e+00 2 1f 15 -1.0078144e+00 1.39e-11 1.56e-02 1.99e-06 -2.5 - 1.00e+00 2 1f 16 -1.0078145e+00 8.90e-15 5.54e+00 2.00e-06 -3.8 - 1.00e+00 1 1h 17 -1.0078166e+00 2.81e-12 2.62e-06 1.99e-06 -3.8 - 1.00e+00 2 1h 18 -1.0078189e+00 3.48e-12 3.79e+02 3.40e-07 -8.6 - 1.00e+00 3 1h 19 -1.0093736e+00 2.42e-06 5.97e+01 1.22e-07 -8.6 - 1.00e+00 2 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -1.0108863e+00 1.98e-06 6.02e+01 6.46e-08 -8.6 - 7.21e-01 2 1h 21 -1.0119995e+00 1.78e-06 6.01e+01 3.73e-08 -8.6 - 6.16e-01 2 1h 22 -1.0126557e+00 1.23e-06 3.83e+01 2.12e-08 -8.6 - 6.54e-01 2 1h 23 -1.0129868e+00 4.70e-07 1.41e+01 8.52e-09 -8.6 - 7.68e-01 2 1h 24 -1.0131489e+00 3.12e-07 1.81e+00 3.73e-09 -8.6 - 9.04e-01 2 1f 25 -1.0131505e+00 2.92e-07 1.70e+00 4.27e-09 -8.6 - 6.25e-02 2 5f 26 -1.0131738e+00 3.59e-08 1.15e-02 2.55e-09 -8.6 - 1.00e+00 2 1h 27 -1.0131735e+00 6.38e-12 1.36e-05 2.51e-09 -8.6 - 1.00e+00 2 1h 28 -1.0131735e+00 2.39e-15 1.28e-09 2.51e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 28 (scaled) (unscaled) Objective...............: -1.0131735051397417e+00 -1.0131735051397417e+00 Dual infeasibility......: 1.2822621058483294e-09 1.2822621058483294e-09 Constraint violation....: 2.3905720240314304e-15 2.3905720240314304e-15 Complementarity.........: 2.5059036346601172e-09 2.5059036346601172e-09 Overall NLP error.......: 2.5059036346601172e-09 2.5059036346601172e-09 Number of objective function evaluations = 33 Number of objective gradient evaluations = 29 Number of constraint evaluations = 33 Number of constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 28 Number of KKT backsolves = 61 Total wall secs in initialization = 0.149 s Total wall secs in linear solver = 0.142 s Total wall secs in NLP function evaluations = 0.029 s Total wall secs in solver (w/o init./fun./lin. alg.) = 1.912 s Total wall secs = 2.231 s EXIT: Optimal Solution Found (tol = 1.0e-08).