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 1.1737459e+02 3.97e+00 1.92e-01 2.57e-02 -1.0 - 5.60e-03 10 1h 3 6.8547375e+02 3.75e+00 5.22e-03 5.98e-04 -1.0 - 5.54e-02 10 1h 4 1.3661570e+03 3.48e+00 4.48e-03 5.16e-04 -1.0 -4.0 7.23e-02 1 4h 5 1.9507777e+03 3.24e+00 1.65e-03 2.46e-04 -1.0 -4.5 6.73e-02 1 4h 6 2.4700681e+03 3.04e+00 1.33e-03 2.56e-04 -1.0 -5.0 6.36e-02 1 4h 7 3.4085674e+03 2.67e+00 1.10e-03 2.31e-04 -1.0 -5.4 1.22e-01 1 3h 8 4.4938934e+03 2.29e+00 9.34e-04 2.43e-04 -1.0 -5.9 1.41e-01 1 1h 9 8.1175061e+03 1.17e+00 5.03e-04 1.21e-04 -1.0 -6.4 4.90e-01 2 1H iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 8.1905410e+03 1.15e+00 1.78e-03 5.39e-05 -1.0 -6.9 1.23e-02 2 1h 11 8.1981408e+03 1.15e+00 2.70e-03 5.42e-05 -1.0 -7.3 1.78e-03 2 4h 12 8.8275683e+03 1.07e+00 1.96e-03 5.48e-05 -1.0 -7.8 7.02e-02 2 3h 13 1.5524682e+04 1.17e+00 4.86e-04 1.97e-05 -1.0 -8.3 7.70e-01 2 1h 14 1.7584023e+04 9.75e-02 5.12e-05 3.01e-06 -1.0 -8.8 1.00e+00 2 1h 15 1.7560133e+04 4.64e-02 1.04e-04 5.71e-06 -2.5 -9.2 8.02e-01 1 1h 16 1.7552566e+04 1.87e-02 1.31e-03 9.17e-06 -2.5 -9.7 8.19e-01 2 1h 17 1.7551832e+04 6.98e-03 8.27e-02 3.56e-05 -3.8 - 6.65e-01 5 1h 18 1.7551681e+04 6.23e-04 3.37e-03 6.83e-06 -3.8 - 1.00e+00 3 1h 19 1.7551825e+04 1.52e-04 1.77e-01 2.84e-06 -3.8 - 8.31e-01 3 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.7551851e+04 1.15e-04 7.42e-01 2.34e-06 -3.8 - 2.50e-01 3 3f 21 1.7551942e+04 2.88e-06 1.08e-04 1.11e-05 -3.8 - 1.00e+00 3 1h 22 1.7551893e+04 4.50e-06 2.21e+00 1.71e-04 -5.7 - 8.81e-01 2 1h 23 1.7551891e+04 4.11e-07 2.41e-03 1.53e-05 -5.7 - 1.00e+00 2 1f 24 1.7551891e+04 1.04e-10 3.18e-06 1.85e-06 -5.7 - 1.00e+00 2 1h 25 1.7551891e+04 1.59e-10 1.86e-02 5.43e-07 -8.6 - 1.00e+00 2 1h 26 1.7551890e+04 1.31e-14 5.29e-03 1.35e-07 -8.6 - 1.00e+00 1 1h 27 1.7551890e+04 4.22e-14 8.55e-04 2.01e-08 -8.6 - 1.00e+00 1 1f 28 1.7551890e+04 4.01e-14 3.95e-05 6.21e-09 -8.6 - 1.00e+00 2 1h 29 1.7551890e+04 4.08e-14 7.69e-13 3.53e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 4.3879726029831437e+02 1.7551890411932574e+04 Dual infeasibility......: 7.6928534878877856e-13 3.0771413951551142e-11 Constraint violation....: 4.0801090893834619e-14 4.0801090893834619e-14 Complementarity.........: 8.8357395703088794e-11 3.5342958281235515e-09 Overall NLP error.......: 3.5342958281235515e-09 3.5342958281235515e-09 Number of objective function evaluations = 55 Number of objective gradient evaluations = 30 Number of constraint evaluations = 55 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 42 Number of KKT backsolves = 92 Total wall secs in initialization = 0.015 s Total wall secs in linear solver = 0.045 s Total wall secs in NLP function evaluations = 0.044 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.057 s Total wall secs = 0.162 s EXIT: Optimal Solution Found (tol = 1.0e-08).