This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 25000 Number of nonzeros in Lagrangian Hessian.............: 10000 Total number of variables............................: 5000 variables with only lower bounds: 0 variables with lower and upper bounds: 5000 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 5000 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 5000 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 0.0000000e+00 1.40e+02 0.00e+00 1.45e+02 -1.0 - 0.00e+00 0 0 1 0.0000000e+00 1.40e+02 1.24e+00 9.35e-02 -1.0 - 1.00e-07 2 2h 2 0.0000000e+00 8.73e-02 5.70e-01 4.26e-02 -1.0 - 1.00e+00 2 1h 3 0.0000000e+00 3.55e-03 1.79e+01 3.53e-02 -1.7 - 1.00e+00 2 1h 4 0.0000000e+00 1.95e+00 3.40e+01 2.36e-02 -1.7 - 4.96e-01 2 2h 5 0.0000000e+00 1.18e+00 1.69e+01 1.56e-02 -1.7 - 5.00e-01 3 2h 6 0.0000000e+00 7.17e-01 8.67e+00 1.02e-02 -1.7 - 5.00e-01 3 2h 7 0.0000000e+00 2.63e+01 2.03e+02 6.44e-03 -1.7 - 1.00e+00 2 1h 8 0.0000000e+00 9.68e+00 6.72e+01 3.83e-03 -1.7 - 1.00e+00 2 1h 9 0.0000000e+00 3.56e+00 2.30e+01 2.11e-03 -1.7 - 1.00e+00 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 0.0000000e+00 1.31e+00 8.05e+00 1.05e-03 -1.7 - 1.00e+00 2 1h 11 0.0000000e+00 4.82e-01 2.88e+00 4.48e-04 -1.7 - 1.00e+00 2 1h 12 0.0000000e+00 1.77e-01 1.04e+00 1.44e-04 -1.7 - 1.00e+00 2 1h 13 0.0000000e+00 6.52e-02 3.81e-01 8.58e-06 -1.7 - 1.00e+00 3 1h 14 0.0000000e+00 2.40e-02 1.40e-01 2.35e-06 -1.7 - 1.00e+00 3 1h 15 0.0000000e+00 8.83e-03 3.68e-01 2.06e-06 -2.5 - 1.00e+00 2 1h 16 0.0000000e+00 3.18e-03 1.47e-01 2.06e-06 -2.5 - 1.00e+00 2 1h 17 0.0000000e+00 9.33e-04 5.68e-02 2.00e-06 -2.5 - 1.00e+00 2 1h 18 0.0000000e+00 1.30e-04 1.31e-02 2.00e-06 -2.5 - 1.00e+00 2 1h 19 0.0000000e+00 3.39e-06 1.19e-02 2.00e-06 -3.8 - 1.00e+00 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 0.0000000e+00 2.69e-09 1.86e-05 2.00e-06 -3.8 - 1.00e+00 2 1h 21 0.0000000e+00 6.41e-14 2.62e-09 1.84e-06 -5.7 - 1.00e+00 1 1h 22 0.0000000e+00 4.99e-14 7.13e-14 2.51e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 22 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 7.1268186664641409e-14 7.1268186664641409e-14 Constraint violation....: 4.9937269824300342e-14 4.9937269824300342e-14 Complementarity.........: 2.5059127690182009e-09 2.5059127690182009e-09 Overall NLP error.......: 2.5059127690182009e-09 2.5059127690182009e-09 Number of objective function evaluations = 30 Number of objective gradient evaluations = 23 Number of constraint evaluations = 30 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 22 Number of KKT backsolves = 52 Total wall secs in initialization = 0.025 s Total wall secs in linear solver = 0.031 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.041 s Total wall secs = 0.100 s EXIT: Optimal Solution Found (tol = 1.0e-08).