This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 0 Number of nonzeros in Lagrangian Hessian.............: 109945 Total number of variables............................: 10000 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 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 -6.3061842e-01 0.00e+00 1.58e+00 0.00e+00 -1.0 - 0.00e+00 1 0 1 -5.8083048e+00 0.00e+00 3.07e+00 0.00e+00 -1.0 4.0 1.00e+00 1 1f 2 -9.2843199e+00 0.00e+00 3.75e+00 0.00e+00 -1.0 4.4 1.00e+00 1 1f 3 -4.9496566e+01 0.00e+00 8.22e+00 0.00e+00 -1.0 3.9 1.00e+00 1 1f 4 -7.8869325e+01 0.00e+00 1.03e+01 0.00e+00 -1.0 4.4 1.00e+00 1 1f 5 -5.3208053e+02 0.00e+00 2.66e+01 0.00e+00 -1.0 3.9 1.00e+00 1 1f 6 -8.9726236e+02 0.00e+00 3.46e+01 0.00e+00 -1.0 4.3 1.00e+00 1 1f 7 -9.2301451e+03 0.00e+00 1.10e+02 0.00e+00 -1.0 3.8 1.00e+00 1 1f 8 -1.6669140e+04 0.00e+00 1.47e+02 0.00e+00 -1.0 4.3 1.00e+00 1 1f 9 -2.6600582e+05 0.00e+00 4.91e+02 0.00e+00 -1.0 3.8 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -4.2317506e+05 0.00e+00 5.35e+02 0.00e+00 -1.0 4.2 1.00e+00 1 1f 11 -9.7881998e+05 0.00e+00 4.63e+02 0.00e+00 -1.0 3.7 1.00e+00 1 1f 12 -1.0023927e+06 0.00e+00 5.67e+02 0.00e+00 -1.0 3.3 1.00e+00 1 1f 13 -1.0028413e+06 0.00e+00 1.18e+02 0.00e+00 -1.0 2.8 1.00e+00 1 1f 14 -1.0029672e+06 0.00e+00 5.47e+01 0.00e+00 -1.0 2.3 1.00e+00 1 1f 15 -1.0030462e+06 0.00e+00 2.96e+01 0.00e+00 -1.0 1.8 1.00e+00 1 1f 16 -1.0030989e+06 0.00e+00 1.55e+01 0.00e+00 -1.0 1.4 1.00e+00 1 1f 17 -1.0031398e+06 0.00e+00 8.07e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 18 -1.0031621e+06 0.00e+00 1.23e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 19 -1.0031629e+06 0.00e+00 6.98e-01 0.00e+00 -1.0 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -1.0031629e+06 0.00e+00 2.84e-03 0.00e+00 -1.7 - 1.00e+00 1 1f 21 -1.0031629e+06 0.00e+00 4.78e-08 0.00e+00 -3.8 - 1.00e+00 1 1f 22 -1.0031629e+06 0.00e+00 9.73e-13 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 22 (scaled) (unscaled) Objective...............: -1.0031629024133105e+06 -1.0031629024133105e+06 Dual infeasibility......: 9.7344354799133725e-13 9.7344354799133725e-13 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 9.7344354799133725e-13 9.7344354799133725e-13 Number of objective function evaluations = 23 Number of objective gradient evaluations = 23 Number of constraint evaluations = 23 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 48 Number of KKT backsolves = 23 Total wall secs in initialization = 0.004 s Total wall secs in linear solver = 0.128 s Total wall secs in NLP function evaluations = 0.017 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.020 s Total wall secs = 0.168 s EXIT: Optimal Solution Found (tol = 1.0e-08).