This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 92 Number of nonzeros in Lagrangian Hessian.............: 41 Total number of variables............................: 46 variables with only lower bounds: 0 variables with lower and upper bounds: 46 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 31 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 31 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 1.2213941e+07 2.44e+00 1.00e+02 3.98e+02 -1.0 - 0.00e+00 0 0 1 1.2213939e+07 2.44e+00 9.82e+01 3.09e-01 -1.0 - 1.99e-07 1 1h 2 1.1332241e+07 2.29e+00 6.01e+01 1.89e-01 -1.0 -4.0 6.16e-02 1 1h 3 1.0237558e+07 2.12e+00 2.61e+01 8.19e-02 -1.0 -4.5 7.33e-02 1 1h 4 7.3836451e+06 1.65e+00 1.20e+01 3.75e-02 -1.0 -5.0 2.23e-01 1 1h 5 3.9541776e+06 9.88e-01 6.82e+00 2.14e-02 -1.0 -5.4 4.00e-01 1 1h 6 1.3658897e+06 3.60e-01 3.80e+00 1.19e-02 -1.0 -5.9 6.36e-01 1 1h 7 2.9175221e+05 3.79e-02 1.98e+00 6.22e-03 -1.0 -6.4 8.95e-01 1 1h 8 4.2157131e+04 4.98e-09 9.89e-01 3.10e-03 -1.0 -6.9 1.00e+00 1 1h 9 -6.9124446e+03 2.20e-09 7.06e-01 2.22e-03 -1.7 -7.3 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -1.9919661e+04 1.03e-09 5.74e-01 1.80e-03 -1.7 -7.8 1.00e+00 1 1f 11 -2.4631464e+04 3.65e-10 5.05e-01 1.55e-03 -1.7 -8.3 1.00e+00 1 1f 12 -2.8615133e+04 1.56e-10 3.20e-01 9.84e-04 -1.7 -8.8 1.00e+00 1 1f 13 -3.1311933e+04 1.55e-10 1.41e-01 4.58e-04 -1.7 -9.2 1.00e+00 1 1f 14 -3.2089433e+04 2.84e-11 8.49e-02 3.89e-04 -2.5 -9.7 1.00e+00 1 1f 15 -3.2332543e+04 1.41e-11 1.68e-02 1.38e-04 -2.5 -10.2 1.00e+00 1 1f 16 -3.2387592e+04 1.20e-11 1.26e-02 1.65e-04 -3.8 -10.7 1.00e+00 1 1f 17 -3.2392861e+04 9.19e-12 1.50e-05 3.44e-05 -3.8 -11.2 1.00e+00 2 1f 18 -3.2393178e+04 7.67e-12 1.10e-03 8.36e-05 -5.7 -11.6 1.00e+00 2 1f 19 -3.2393214e+04 9.38e-15 5.34e-04 1.92e-05 -5.7 - 1.00e+00 4 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -3.2393222e+04 9.38e-15 2.86e-04 5.54e-06 -5.7 - 1.00e+00 6 1f 21 -3.2393223e+04 9.10e-15 8.65e-05 2.43e-06 -5.7 - 1.00e+00 10 1f 22 -3.2393223e+04 7.44e-15 6.81e-06 1.88e-06 -5.7 - 1.00e+00 3 1h 23 -3.2393224e+04 1.14e-14 2.01e-04 4.14e-07 -8.6 - 1.00e+00 2 1f 24 -3.2393224e+04 1.06e-14 7.86e-05 9.74e-08 -8.6 - 1.00e+00 1 1h 25 -3.2393224e+04 1.09e-14 3.70e-05 2.20e-08 -8.6 - 1.00e+00 1 1h 26 -3.2393224e+04 1.36e-14 9.02e-06 5.44e-09 -8.6 - 1.00e+00 1 1h 27 -3.2393224e+04 9.11e-15 5.90e-07 2.66e-09 -8.6 - 1.00e+00 2 1h 28 -3.2393224e+04 1.30e-14 1.28e-09 2.51e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 28 (scaled) (unscaled) Objective...............: -4.1297150359741316e+01 -3.2393224302892893e+04 Dual infeasibility......: 1.2827715252863858e-09 1.0061978946729975e-06 Constraint violation....: 1.3013429508760096e-14 1.3013429508760096e-14 Complementarity.........: 3.1954028996310822e-12 2.5064538827543539e-09 Overall NLP error.......: 2.5064538827543539e-09 2.5064538827543539e-09 Number of objective function evaluations = 29 Number of objective gradient evaluations = 29 Number of constraint evaluations = 29 Number of constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 45 Number of KKT backsolves = 52 Total wall secs in initialization = 0.019 s Total wall secs in linear solver = 0.027 s Total wall secs in NLP function evaluations = 0.006 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.039 s Total wall secs = 0.091 s EXIT: Optimal Solution Found (tol = 1.0e-08).