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.............: 68297 Total number of variables............................: 4999 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 4.1412443e+03 0.00e+00 3.45e+00 0.00e+00 -1.0 - 0.00e+00 0 0 1 4.0726676e+03 0.00e+00 4.08e+00 0.00e+00 -1.0 2.0 1.00e+00 1 1f 2 3.7302309e+03 0.00e+00 6.56e+00 0.00e+00 -1.0 1.5 1.00e+00 1 1f 3 2.2624196e+03 0.00e+00 1.73e+01 0.00e+00 -1.0 1.0 5.00e-01 1 2f 4 1.6291749e+03 0.00e+00 7.81e+00 0.00e+00 -1.0 1.5 1.00e+00 1 1f 5 4.9784376e+02 0.00e+00 2.62e+00 0.00e+00 -1.0 1.0 1.00e+00 1 1f 6 5.9203924e+01 0.00e+00 1.63e+00 0.00e+00 -1.0 0.5 1.00e+00 1 1f 7 1.2771271e+01 0.00e+00 7.44e+00 0.00e+00 -1.0 0.0 1.00e+00 1 1f 8 9.3875774e+00 0.00e+00 3.86e+00 0.00e+00 -1.0 1.4 1.00e+00 1 1f 9 6.2127293e+00 0.00e+00 1.46e+00 0.00e+00 -1.0 0.9 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 3.3826837e+00 0.00e+00 5.97e-01 0.00e+00 -1.0 0.4 1.00e+00 1 1f 11 1.2341500e+00 0.00e+00 1.68e-01 0.00e+00 -1.7 -0.1 1.00e+00 1 1f 12 2.6289741e-01 0.00e+00 4.39e-02 0.00e+00 -2.5 -0.5 1.00e+00 1 1f 13 2.0440360e-01 0.00e+00 9.78e-01 0.00e+00 -2.5 - 1.00e+00 1 1f 14 7.7437683e-02 0.00e+00 6.97e-01 0.00e+00 -2.5 - 1.25e-01 1 4f 15 2.9014047e-02 0.00e+00 9.34e-02 0.00e+00 -2.5 -1.0 1.00e+00 1 1f 16 2.6907311e-02 0.00e+00 2.90e-01 0.00e+00 -2.5 -1.5 1.00e+00 1 1f 17 4.7853218e-03 0.00e+00 5.26e-02 0.00e+00 -2.5 - 1.00e+00 1 1f 18 1.7570497e-03 0.00e+00 6.76e-02 0.00e+00 -2.5 -2.0 2.50e-01 1 3f 19 1.1496974e-05 0.00e+00 2.67e-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 9.4421091e-08 0.00e+00 3.55e-04 0.00e+00 -3.8 - 1.00e+00 1 1f 21 4.9975766e-12 0.00e+00 1.12e-06 0.00e+00 -5.7 - 1.00e+00 1 1f 22 1.7101037e-20 0.00e+00 1.83e-10 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 22 (scaled) (unscaled) Objective...............: 1.7101037228123018e-20 1.7101037228123018e-20 Dual infeasibility......: 1.8254302220246357e-10 1.8254302220246357e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 1.8254302220246357e-10 1.8254302220246357e-10 Number of objective function evaluations = 41 Number of objective gradient evaluations = 23 Number of constraint evaluations = 41 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 43 Number of KKT backsolves = 34 Total wall secs in initialization = 0.041 s Total wall secs in linear solver = 0.023 s Total wall secs in NLP function evaluations = 0.008 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.015 s Total wall secs = 0.088 s EXIT: Optimal Solution Found (tol = 1.0e-08).