This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 168 Number of nonzeros in Lagrangian Hessian.............: 216 Total number of variables............................: 11 variables with only lower bounds: 8 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 11 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 3 inequality constraints with only upper bounds: 8 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 3.2952674e+00 2.00e+02 1.00e+00 1.34e-01 -1.0 - 0.00e+00 0 0 1 3.2952675e+00 2.00e+02 3.22e-04 2.71e-05 -1.0 - 1.00e-07 2 2h 2 3.4455843e+00 1.59e+02 1.34e-03 2.33e-05 -1.0 - 1.96e-01 2 1h 3 3.8127832e+00 1.50e+02 8.76e-04 1.98e-05 -1.0 -4.0 5.83e-02 2 1h 4 5.4447192e+00 1.09e+02 8.58e-04 1.02e-05 -1.0 -4.5 2.54e-01 2 1h 5 8.0647957e+00 6.21e+01 9.61e-04 7.81e-06 -1.0 -5.0 4.28e-01 3 1h 6 1.1434653e+01 4.77e+00 9.81e-04 1.15e-05 -1.0 -5.4 9.34e-01 3 1h 7 1.1975896e+01 1.16e-01 6.89e-06 4.90e-06 -1.0 -5.9 1.00e+00 3 1h 8 1.1341204e+01 4.94e-01 1.34e-04 9.00e-06 -2.5 -6.4 8.35e-01 2 1h 9 1.1252614e+01 5.23e-03 1.21e-04 7.80e-06 -2.5 -6.9 1.00e+00 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.1229893e+01 3.65e-04 1.37e-06 4.95e-06 -3.8 -7.3 1.00e+00 3 1h 11 1.1228755e+01 9.07e-07 8.25e-08 2.04e-06 -5.7 -5.1 1.00e+00 5 1h 12 1.1228740e+01 8.28e-11 7.49e-09 2.78e-09 -8.6 -3.8 1.00e+00 4 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 1.1228740025426946e+01 1.1228740025426946e+01 Dual infeasibility......: 7.4908135805351606e-09 7.4908135805351606e-09 Constraint violation....: 8.2810378453102031e-11 8.2810378453102031e-11 Complementarity.........: 2.7817734315982732e-09 2.7817734315982732e-09 Overall NLP error.......: 7.4908135805351606e-09 7.4908135805351606e-09 Number of objective function evaluations = 14 Number of objective gradient evaluations = 13 Number of constraint evaluations = 14 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 27 Number of KKT backsolves = 33 Total wall secs in initialization = 0.016 s Total wall secs in linear solver = 0.019 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.024 s Total wall secs = 0.062 s EXIT: Optimal Solution Found (tol = 1.0e-08).