This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 234 Number of nonzeros in Lagrangian Hessian.............: 290 Total number of variables............................: 44 variables with only lower bounds: 0 variables with lower and upper bounds: 34 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 58 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 46 inequality constraints with only upper bounds: 12 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 1.0059989e+02 3.99e+00 1.00e+02 1.81e+01 -1.0 - 0.00e+00 0 0 1 1.0060267e+02 3.99e+00 7.84e-01 1.05e-01 -1.0 - 1.29e-07 1 1h 2 1.1737612e+02 3.97e+00 1.92e-01 2.57e-02 -1.0 -4.0 5.60e-03 1 1h 3 6.8560516e+02 3.75e+00 5.22e-03 5.98e-04 -1.0 -4.5 5.54e-02 1 1h 4 1.3662690e+03 3.48e+00 4.48e-03 5.16e-04 -1.0 -5.0 7.23e-02 1 4h 5 1.9508724e+03 3.24e+00 1.65e-03 2.46e-04 -1.0 -5.4 6.73e-02 1 4h 6 2.4701476e+03 3.04e+00 1.33e-03 2.56e-04 -1.0 -5.9 6.36e-02 1 4h 7 3.4086067e+03 2.67e+00 1.10e-03 2.31e-04 -1.0 -6.4 1.22e-01 1 3h 8 4.4938462e+03 2.29e+00 9.34e-04 2.44e-04 -1.0 -6.9 1.41e-01 1 1h 9 8.1175751e+03 1.17e+00 5.03e-04 1.21e-04 -1.0 -7.3 4.90e-01 2 1H iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 8.1905266e+03 1.15e+00 1.78e-03 5.39e-05 -1.0 -7.8 1.23e-02 2 1h 11 8.1981404e+03 1.15e+00 2.70e-03 5.43e-05 -1.0 -8.3 1.79e-03 2 4h 12 8.8276438e+03 1.07e+00 1.96e-03 5.48e-05 -1.0 -8.8 7.02e-02 2 3h 13 1.5523854e+04 1.17e+00 4.86e-04 1.97e-05 -1.0 -9.2 7.70e-01 2 1h 14 1.7584022e+04 9.76e-02 5.12e-05 3.01e-06 -1.0 -9.7 1.00e+00 2 1h 15 1.7562636e+04 4.94e-02 3.57e-04 5.68e-06 -2.5 - 7.99e-01 10 1h 16 1.7553944e+04 2.96e-02 6.08e-04 6.05e-06 -2.5 -10.2 4.55e-01 2 1h 17 1.7552467e+04 5.39e-03 2.11e-04 7.13e-06 -2.5 - 1.00e+00 6 1h 18 1.7551956e+04 2.27e-03 1.93e-01 5.41e-05 -3.8 - 5.98e-01 10 1h 19 1.7551790e+04 2.30e-04 3.31e-03 6.14e-06 -3.8 - 1.00e+00 6 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.7551898e+04 3.90e-05 1.03e-01 2.32e-06 -3.8 - 9.22e-01 3 1h 21 1.7551936e+04 3.07e-06 8.57e-05 2.33e-06 -3.8 - 1.00e+00 3 1f 22 1.7551892e+04 9.75e-07 1.80e-01 1.66e-05 -5.7 - 9.71e-01 3 1h 23 1.7551891e+04 3.98e-09 2.03e-05 2.04e-06 -5.7 - 1.00e+00 2 1f 24 1.7551891e+04 3.62e-14 6.02e-11 1.85e-06 -5.7 - 1.00e+00 1 1h 25 1.7551891e+04 1.62e-10 1.88e-02 5.43e-07 -8.6 - 1.00e+00 2 1f 26 1.7551890e+04 4.85e-14 5.35e-03 1.35e-07 -8.6 - 1.00e+00 1 1h 27 1.7551890e+04 1.60e-14 8.65e-04 2.01e-08 -8.6 - 1.00e+00 1 1f 28 1.7551890e+04 2.72e-14 4.00e-05 6.21e-09 -8.6 - 1.00e+00 2 1h 29 1.7551890e+04 2.34e-14 3.54e-12 3.53e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 4.3879726029831454e+02 1.7551890411932582e+04 Dual infeasibility......: 3.5390697637708278e-12 1.4156279055083311e-10 Constraint violation....: 2.3361862150485776e-14 2.3361862150485776e-14 Complementarity.........: 8.8357983406104811e-11 3.5343193362441920e-09 Overall NLP error.......: 3.5343193362441920e-09 3.5343193362441920e-09 Number of objective function evaluations = 53 Number of objective gradient evaluations = 30 Number of constraint evaluations = 53 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 43 Number of KKT backsolves = 104 Total wall secs in initialization = 0.019 s Total wall secs in linear solver = 0.075 s Total wall secs in NLP function evaluations = 0.049 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.089 s Total wall secs = 0.231 s EXIT: Optimal Solution Found (tol = 1.0e-08).