This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 34300 Number of nonzeros in Lagrangian Hessian.............: 34300 Total number of variables............................: 4900 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...............: 4900 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 4900 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 5.05e+01 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 0.0000000e+00 5.05e+01 2.45e-14 6.92e-09 -1.0 - 4.96e-10 2 1h 2 0.0000000e+00 2.01e+04 6.63e-13 3.50e-09 -1.0 - 1.00e+00 10 1h 3 0.0000000e+00 5.83e+03 3.88e-13 3.50e-09 -1.0 - 1.00e+00 10 1h 4 0.0000000e+00 5.82e+03 4.69e-10 3.50e-09 -1.0 - 1.95e-03 6 10h 5 0.0000000e+00 5.46e+03 4.62e-12 3.50e-09 -1.0 - 6.25e-02 5 5h 6 0.0000000e+00 5.42e+03 1.77e-09 3.50e-09 -1.0 - 7.81e-03 6 8h 7 0.0000000e+00 5.25e+03 2.28e-10 3.50e-09 -1.0 - 3.12e-02 10 6h 8 0.0000000e+00 5.25e+03 3.24e-07 3.50e-09 -1.0 - 4.88e-04 5 12h 9 0.0000000e+00 4.93e+03 7.41e-10 3.50e-09 -1.0 - 6.25e-02 10 5h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 0.0000000e+00 4.63e+03 6.93e-10 3.50e-09 -1.0 - 6.25e-02 10 5h 11 0.0000000e+00 2.66e+03 3.82e-10 3.50e-09 -1.0 - 5.00e-01 10 2h 12 0.0000000e+00 2.49e+03 1.62e-09 3.50e-09 -1.0 - 6.25e-02 10 5h 13 0.0000000e+00 1.43e+03 8.92e-10 3.50e-09 -1.0 - 5.00e-01 10 2h 14 0.0000000e+00 8.09e+02 1.25e-09 3.50e-09 -1.0 - 5.00e-01 10 2h 15 0.0000000e+00 2.00e+02 3.43e-10 3.50e-09 -1.0 - 1.00e+00 10 1h 16 0.0000000e+00 3.81e+01 2.06e-11 3.50e-09 -1.0 - 1.00e+00 10 1h 17 0.0000000e+00 3.10e+00 1.06e-13 3.50e-09 -1.0 - 1.00e+00 8 1h 18 0.0000000e+00 3.94e-02 1.45e-16 3.50e-09 -1.0 - 1.00e+00 9 1h 19 0.0000000e+00 2.31e-04 8.68e-13 3.50e-09 -2.5 - 1.00e+00 3 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 0.0000000e+00 2.40e-05 4.16e-11 3.50e-09 -5.7 - 1.00e+00 2 1h 21 0.0000000e+00 2.59e-07 5.94e-17 3.50e-09 -5.7 - 1.00e+00 2 1h 22 0.0000000e+00 2.48e-11 1.46e-11 2.51e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 22 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 1.4551915661261227e-11 1.4551915661261227e-11 Constraint violation....: 2.4777079486217983e-11 2.4777079486217983e-11 Complementarity.........: 2.5059035735909050e-09 2.5059035735909050e-09 Overall NLP error.......: 2.5059035735909050e-09 2.5059035735909050e-09 Number of objective function evaluations = 85 Number of objective gradient evaluations = 23 Number of constraint evaluations = 85 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 22 Number of KKT backsolves = 266 Total wall secs in initialization = 0.052 s Total wall secs in linear solver = 0.191 s Total wall secs in NLP function evaluations = 0.005 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.058 s Total wall secs = 0.305 s EXIT: Optimal Solution Found (tol = 1.0e-08).