This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 14 Number of nonzeros in Lagrangian Hessian.............: 670 Total number of variables............................: 10 variables with only lower bounds: 10 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 3 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 3 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 -2.0960285e+01 1.30e+00 3.74e+01 1.00e-01 -1.0 - 0.00e+00 0 0 1 -2.0960288e+01 1.30e+00 3.76e-03 1.03e-05 -1.0 - 1.00e-07 1 2h 2 -4.2038989e+01 2.73e-01 2.98e-04 1.07e-05 -1.0 - 7.90e-01 3 1h 3 -4.7661450e+01 1.25e-16 1.86e-04 4.89e-06 -1.7 - 1.00e+00 4 1h 4 -4.7753704e+01 5.43e-16 2.41e-04 6.74e-06 -5.7 - 1.00e+00 4 1f 5 -4.7760028e+01 3.39e-16 1.38e-02 1.21e-04 -5.7 - 1.00e+00 2 1f 6 -4.7760993e+01 3.87e-16 1.53e-01 6.25e-04 -5.7 - 1.00e+00 2 1f 7 -4.7761086e+01 3.73e-16 4.54e-02 1.25e-04 -5.7 - 1.00e+00 2 1f 8 -4.7761091e+01 2.06e-16 5.09e-03 1.27e-05 -5.7 - 1.00e+00 2 1f 9 -4.7761091e+01 1.03e-16 5.23e-05 1.95e-06 -5.7 - 1.00e+00 2 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -4.7761091e+01 1.21e-16 5.53e-09 1.84e-06 -5.7 - 1.00e+00 2 1h 11 -4.7761091e+01 2.15e-16 1.00e-04 1.40e-07 -8.6 - 1.00e+00 2 1h 12 -4.7761091e+01 1.87e-16 3.54e-05 2.93e-08 -8.6 - 1.00e+00 1 1f 13 -4.7761091e+01 1.89e-16 7.46e-14 2.90e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 13 (scaled) (unscaled) Objective...............: -4.7761091232212443e+01 -4.7761091232212443e+01 Dual infeasibility......: 7.4606987254810520e-14 7.4606987254810520e-14 Constraint violation....: 1.8931977817543703e-16 1.8931977817543703e-16 Complementarity.........: 2.9014281203275990e-09 2.9014281203275990e-09 Overall NLP error.......: 2.9014281203275990e-09 2.9014281203275990e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 14 Number of constraint evaluations = 15 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 13 Number of KKT backsolves = 28 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.012 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.020 s Total wall secs = 0.049 s EXIT: Optimal Solution Found (tol = 1.0e-08).