This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 15000 Number of nonzeros in Lagrangian Hessian.............: 25000 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.................: 5000 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 2.5000000e+03 1.00e+00 1.00e+00 0.00e+00 -1.0 - 0.00e+00 1 0 1 2.8383147e+03 3.98e-01 5.15e-01 0.00e+00 -1.0 - 1.00e+00 1 1h 2 1.0041431e+04 2.04e-01 1.12e+00 0.00e+00 -1.7 - 1.00e+00 1 1h 3 2.2476749e+04 6.35e-02 1.68e+00 0.00e+00 -1.7 - 1.00e+00 1 1h 4 3.9859572e+04 2.28e-02 1.98e+00 0.00e+00 -1.7 - 1.00e+00 1 1h 5 6.1922105e+04 8.50e-03 6.97e-01 0.00e+00 -1.7 - 1.00e+00 1 1h 6 8.7838175e+04 3.10e-03 2.54e-01 0.00e+00 -1.7 - 1.00e+00 1 1h 7 1.1486224e+05 1.11e-03 1.01e-01 0.00e+00 -1.7 - 1.00e+00 1 1h 8 1.3346125e+05 6.39e-04 2.40e-02 0.00e+00 -2.5 - 1.00e+00 1 1h 9 1.3479809e+05 2.86e-05 2.27e-03 0.00e+00 -3.8 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.3485012e+05 1.15e-07 2.02e-05 0.00e+00 -3.8 - 1.00e+00 1 1h 11 1.3485062e+05 1.09e-11 1.61e-09 0.00e+00 -5.7 - 1.00e+00 1 1h Number of Iterations....: 11 (scaled) (unscaled) Objective...............: 1.3485061625893391e+05 1.3485061625893391e+05 Dual infeasibility......: 1.6093698665617297e-09 1.6093698665617297e-09 Constraint violation....: 1.0899419821547296e-11 1.0899419821547296e-11 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 1.6093698665617297e-09 1.6093698665617297e-09 Number of objective function evaluations = 12 Number of objective gradient evaluations = 12 Number of constraint evaluations = 12 Number of constraint Jacobian evaluations = 12 Number of Lagrangian Hessian evaluations = 11 Number of KKT factorizations = 12 Number of KKT backsolves = 12 Total wall secs in initialization = 0.006 s Total wall secs in linear solver = 0.053 s Total wall secs in NLP function evaluations = 0.012 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.017 s Total wall secs = 0.089 s EXIT: Optimal Solution Found (tol = 1.0e-08).