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.............: 34979 Total number of variables............................: 5000 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...............: 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 1.2490400e+05 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.2341277e+05 0.00e+00 9.07e+01 0.00e+00 -1.0 6.0 1.00e+00 1 1f 2 1.2002610e+05 0.00e+00 6.07e+01 0.00e+00 -1.0 5.5 1.00e+00 1 1f 3 1.1402345e+05 0.00e+00 3.61e+01 0.00e+00 -1.0 5.0 1.00e+00 1 1f 4 1.0567852e+05 0.00e+00 2.03e+01 0.00e+00 -1.0 4.6 1.00e+00 1 1f 5 3.8059932e+04 0.00e+00 2.70e+03 0.00e+00 -1.0 - 1.00e+00 1 1f 6 3.7112761e+04 0.00e+00 2.72e+03 0.00e+00 -1.0 4.1 6.25e-02 1 5f 7 3.5972183e+04 0.00e+00 3.81e+03 0.00e+00 -1.0 4.5 1.00e+00 1 1f 8 1.2898249e+04 0.00e+00 5.55e+02 0.00e+00 -1.0 - 1.00e+00 1 1f 9 1.2563948e+04 0.00e+00 9.54e+00 0.00e+00 -1.0 4.0 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 3.6112181e+03 0.00e+00 1.42e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 11 3.5193621e+03 0.00e+00 7.21e-01 0.00e+00 -1.0 3.6 1.00e+00 1 1f 12 3.3503853e+03 0.00e+00 5.90e-01 0.00e+00 -1.7 3.1 1.00e+00 1 1f 13 3.0685671e+03 0.00e+00 4.21e-01 0.00e+00 -1.7 2.6 1.00e+00 1 1f 14 2.6955300e+03 0.00e+00 2.69e-01 0.00e+00 -1.7 2.1 1.00e+00 1 1f 15 2.2743692e+03 0.00e+00 1.62e-01 0.00e+00 -1.7 1.7 1.00e+00 1 1f 16 1.8341596e+03 0.00e+00 9.50e-02 0.00e+00 -2.5 1.2 1.00e+00 1 1f 17 1.3902877e+03 0.00e+00 5.51e-02 0.00e+00 -2.5 0.7 1.00e+00 1 1f 18 5.1850058e+01 0.00e+00 3.78e-02 0.00e+00 -2.5 - 1.00e+00 1 1f 19 1.1026810e+00 0.00e+00 5.58e-03 0.00e+00 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.9267285e-01 0.00e+00 2.00e-03 0.00e+00 -3.8 0.2 1.00e+00 1 1f 21 1.1970268e-02 0.00e+00 3.97e-04 0.00e+00 -3.8 -0.3 1.00e+00 1 1f 22 5.0067009e-04 0.00e+00 1.72e-04 0.00e+00 -5.7 -0.7 1.00e+00 1 1f 23 1.3382835e-04 0.00e+00 1.10e-04 0.00e+00 -5.7 -1.2 1.00e+00 1 1f 24 2.7978593e-05 0.00e+00 4.33e-05 0.00e+00 -5.7 -1.7 1.00e+00 1 1f 25 1.8923449e-06 0.00e+00 8.42e-06 0.00e+00 -5.7 -2.2 1.00e+00 1 1f 26 2.8299998e-08 0.00e+00 7.10e-07 0.00e+00 -8.6 -2.6 1.00e+00 1 1f 27 6.8387441e-11 0.00e+00 2.65e-08 0.00e+00 -8.6 -3.1 1.00e+00 1 1f 28 2.2230283e-14 0.00e+00 4.23e-10 0.00e+00 -8.6 -3.6 1.00e+00 1 1f Number of Iterations....: 28 (scaled) (unscaled) Objective...............: 4.5220933541932972e-17 2.2230282830166057e-14 Dual infeasibility......: 4.2315797175304312e-10 2.0802138870456117e-07 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 8.6078970135354651e-13 4.2315797175304312e-10 Number of objective function evaluations = 37 Number of objective gradient evaluations = 29 Number of constraint evaluations = 37 Number of constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 57 Number of KKT backsolves = 32 Total wall secs in initialization = 0.032 s Total wall secs in linear solver = 0.029 s Total wall secs in NLP function evaluations = 0.036 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.018 s Total wall secs = 0.115 s EXIT: Optimal Solution Found (tol = 1.0e-08).