This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 178239 Number of nonzeros in Lagrangian Hessian.............: 126405 Total number of variables............................: 51198 variables with only lower bounds: 0 variables with lower and upper bounds: 51198 variables with only upper bounds: 0 Total number of equality constraints.................: 25917 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 3.9383147e+00 1.17e-03 8.78e-05 6.00e+00 -1.0 - 0.00e+00 1 0 1 3.6352240e+00 2.03e-04 6.54e-02 1.99e+00 -1.0 - 8.31e-01 1 1h 2 3.7242728e+00 7.77e-06 2.83e-02 1.64e-01 -1.0 - 9.68e-01 1 1h 3 3.7287153e+00 2.43e-09 1.62e-03 5.14e-03 -2.5 - 1.00e+00 1 1h 4 3.7291157e+00 2.69e-12 2.51e+00 8.54e-04 -3.8 - 1.00e+00 1 1f 5 3.7320918e+00 4.20e-11 3.66e-01 4.31e-04 -3.8 - 1.00e+00 1 1f 6 3.7379420e+00 1.10e-10 3.49e-01 2.90e-04 -3.8 - 1.00e+00 1 1f 7 3.7439940e+00 7.68e-11 9.84e-08 2.52e-04 -3.8 - 1.00e+00 1 1f 8 3.7407757e+00 1.52e-10 2.17e-03 3.97e-05 -5.7 - 1.00e+00 1 1f 9 3.7008519e+00 1.44e-07 2.49e-03 6.89e-06 -5.7 - 6.05e-01 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 3.6894857e+00 1.01e-07 1.85e-01 7.35e-06 -5.7 - 2.99e-01 1 1f 11 3.6799423e+00 5.05e-08 7.51e-01 8.90e-05 -5.7 - 5.04e-01 1 1f 12 3.6703382e+00 9.21e-09 8.89e-08 1.12e-05 -5.7 - 1.00e+00 1 1f 13 3.6619228e+00 1.22e-08 2.72e-01 1.04e-06 -8.6 - 4.68e-01 1 1f 14 3.6574583e+00 1.16e-08 3.54e-01 7.03e-07 -8.6 - 3.12e-01 1 1f 15 3.6536016e+00 9.92e-09 6.51e-01 7.88e-07 -8.6 - 3.84e-01 1 1f 16 3.6480855e+00 1.80e-08 1.90e-01 3.79e-07 -8.6 - 8.27e-01 1 1f 17 3.6468898e+00 7.34e-09 1.11e-01 1.62e-07 -8.6 - 7.49e-01 1 1h 18 3.6463459e+00 3.43e-09 7.69e-02 7.81e-08 -8.6 - 8.66e-01 1 1f 19 3.6461640e+00 1.11e-09 4.29e-02 3.32e-08 -8.6 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 3.6461258e+00 1.94e-10 1.40e-02 1.06e-08 -8.6 - 1.00e+00 1 1h 21 3.6461171e+00 2.71e-11 1.71e-10 3.86e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 21 (scaled) (unscaled) Objective...............: 3.6461170616755787e+00 3.6461170616755787e+00 Dual infeasibility......: 1.7110654327108959e-10 1.7110654327108959e-10 Constraint violation....: 2.7133850721838826e-11 2.7133850721838826e-11 Complementarity.........: 3.8616349488590817e-09 3.8616349488590817e-09 Overall NLP error.......: 3.8616349488590817e-09 3.8616349488590817e-09 Number of objective function evaluations = 22 Number of objective gradient evaluations = 22 Number of constraint evaluations = 22 Number of constraint Jacobian evaluations = 22 Number of Lagrangian Hessian evaluations = 21 Number of KKT factorizations = 22 Number of KKT backsolves = 22 Total wall secs in initialization = 0.015 s Total wall secs in linear solver = 0.472 s Total wall secs in NLP function evaluations = 0.011 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.164 s Total wall secs = 0.662 s EXIT: Optimal Solution Found (tol = 1.0e-08).