This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 6770 Number of nonzeros in Lagrangian Hessian.............: 8577 Total number of variables............................: 1053 variables with only lower bounds: 0 variables with lower and upper bounds: 817 variables with only upper bounds: 0 Total number of equality constraints.................: 981 Total number of inequality constraints...............: 676 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 304 inequality constraints with only upper bounds: 372 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 4.7812282e+02 2.76e+00 2.19e+01 5.21e+03 -1.0 - 0.00e+00 1 0 1 3.4420061e+04 2.00e+00 7.98e+01 5.19e+03 -1.0 - 2.74e-01 1 1h 2 3.5537730e+04 1.90e+00 7.55e+01 4.76e+03 -1.0 - 5.19e-02 1 1h 3 3.6117187e+04 1.78e+00 6.94e+01 3.44e+03 -1.0 - 6.34e-02 1 1h 4 4.3107829e+04 1.55e+00 6.05e+01 2.13e+03 -1.0 - 1.27e-01 1 1h 5 6.1218060e+04 9.97e-01 3.88e+01 1.03e+03 -1.0 - 3.58e-01 1 1h 6 7.0586947e+04 9.15e-01 3.16e+01 4.81e+02 -1.0 - 2.69e-01 1 1h 7 8.3802456e+04 1.39e+00 2.23e+01 3.09e+01 -1.0 - 5.08e-01 1 1h 8 9.0846201e+04 3.00e+00 8.42e+00 2.44e+01 -1.0 - 5.44e-01 1 1h 9 9.2139002e+04 2.57e+00 8.90e+00 5.53e+00 -1.0 - 2.61e-01 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 9.4131242e+04 1.65e+00 5.59e+00 4.03e+00 -1.0 - 3.66e-01 1 1h 11 9.7102863e+04 8.62e-01 1.75e+00 2.42e-01 -1.0 - 8.35e-01 1 1h 12 9.7738149e+04 1.05e-01 5.26e+01 3.17e-01 -1.0 - 1.00e+00 1 1H 13 9.7654970e+04 4.03e-01 8.40e+00 8.01e-01 -1.0 - 1.00e+00 1 1h 14 9.7684790e+04 6.57e-03 1.14e-01 1.77e-01 -1.0 - 1.00e+00 1 1h 15 9.7480833e+04 2.48e-01 9.30e-01 4.77e-02 -2.5 - 5.60e-01 1 1h 16 9.7307153e+04 7.07e-02 2.20e-01 1.88e-02 -2.5 - 7.88e-01 1 1h 17 9.7247072e+04 9.73e-02 5.16e-01 6.77e-03 -2.5 - 7.77e-01 1 1h 18 9.7231275e+04 4.96e-02 1.12e-02 3.87e-03 -2.5 - 1.00e+00 1 1h 19 9.7232906e+04 7.82e-05 3.84e-05 2.94e-03 -2.5 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 9.7218991e+04 9.43e-03 7.96e-02 1.12e-03 -3.8 - 7.23e-01 1 1f 21 9.7214359e+04 9.84e-04 6.16e-02 3.99e-04 -3.8 - 1.00e+00 1 1h 22 9.7214570e+04 8.84e-05 1.21e-04 1.95e-04 -3.8 - 1.00e+00 1 1h 23 9.7213705e+04 6.68e-05 1.65e-03 5.30e-05 -5.7 - 9.08e-01 2 1h 24 9.7213619e+04 2.67e-05 1.93e-05 1.41e-05 -5.7 - 1.00e+00 2 1h 25 9.7213619e+04 5.12e-06 3.87e-06 4.50e-06 -5.7 - 1.00e+00 2 1h 26 9.7213607e+04 2.11e-06 1.74e-05 1.11e-06 -8.6 - 1.00e+00 2 1h 27 9.7213607e+04 4.78e-07 3.63e-07 2.57e-07 -8.6 - 1.00e+00 2 1h 28 9.7213607e+04 8.76e-08 6.66e-08 4.82e-08 -8.6 - 1.00e+00 2 1h 29 9.7213607e+04 6.85e-09 5.21e-09 6.08e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 7.8032097093906032e+02 9.7213606981586679e+04 Dual infeasibility......: 5.2083348402767180e-09 6.4886250023736369e-07 Constraint violation....: 6.8529359964486503e-09 6.8529359964486503e-09 Complementarity.........: 4.8813279093029246e-11 6.0812346533780852e-09 Overall NLP error.......: 6.8529359964486503e-09 6.8529359964486503e-09 Number of objective function evaluations = 31 Number of objective gradient evaluations = 30 Number of constraint evaluations = 31 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 30 Number of KKT backsolves = 38 Total wall secs in initialization = 0.010 s Total wall secs in linear solver = 0.085 s Total wall secs in NLP function evaluations = 0.080 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.094 s Total wall secs = 0.269 s EXIT: Optimal Solution Found (tol = 1.0e-08).