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.............: 16290 Total number of variables............................: 180 variables with only lower bounds: 180 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 1.2768033e+03 0.00e+00 3.67e+01 1.00e-02 -1.0 - 0.00e+00 0 0 1 1.2582233e+03 0.00e+00 1.69e+01 7.27e-02 -1.0 - 6.79e-01 1 1f 2 1.2589169e+03 0.00e+00 2.72e+00 2.20e-01 -1.0 - 1.90e-01 1 1f 3 1.2576544e+03 0.00e+00 6.14e-03 1.11e-01 -1.0 - 1.00e+00 1 1f 4 1.2512342e+03 0.00e+00 4.45e+00 5.10e-02 -2.5 - 1.00e+00 1 1f 5 1.2498311e+03 0.00e+00 2.66e+00 1.93e-02 -2.5 - 1.00e+00 1 1f 6 1.2490923e+03 0.00e+00 5.86e-01 5.18e-02 -2.5 - 1.00e+00 1 1f 7 1.2486489e+03 0.00e+00 3.22e-03 2.58e-02 -2.5 - 1.00e+00 1 1f 8 1.2482305e+03 0.00e+00 3.56e-01 1.75e-02 -3.8 - 1.00e+00 1 1f 9 1.2481802e+03 0.00e+00 1.48e-04 4.35e-04 -3.8 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.2481509e+03 0.00e+00 1.39e-03 2.42e-05 -5.7 - 1.00e+00 1 1f 11 1.2481507e+03 0.00e+00 2.60e-09 1.92e-06 -5.7 - 1.00e+00 1 1f 12 1.2481503e+03 0.00e+00 6.64e-10 3.48e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 1.2481503406700604e+03 1.2481503406700604e+03 Dual infeasibility......: 6.6414322644441280e-10 6.6414322644441280e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 3.4795671940738197e-09 3.4795671940738197e-09 Overall NLP error.......: 3.4795671940738197e-09 3.4795671940738197e-09 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of constraint evaluations = 13 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 12 Number of KKT backsolves = 12 Total wall secs in initialization = 0.016 s Total wall secs in linear solver = 0.020 s Total wall secs in NLP function evaluations = 0.044 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.015 s Total wall secs = 0.095 s EXIT: Optimal Solution Found (tol = 1.0e-08).