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.............: 78 Total number of variables............................: 12 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 3.0000000e+01 0.00e+00 6.96e+01 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.5263709e+00 0.00e+00 1.31e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 2 2.4363730e-01 0.00e+00 1.62e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 3 1.3515790e-01 0.00e+00 3.70e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 4 5.2398451e-02 0.00e+00 7.65e-01 0.00e+00 -1.0 - 1.00e+00 1 1f 5 2.9810002e-02 0.00e+00 2.45e+00 0.00e+00 -1.7 - 1.00e+00 1 1f 6 8.5789223e-03 0.00e+00 2.49e-01 0.00e+00 -1.7 - 1.00e+00 1 1f 7 4.3500341e-03 0.00e+00 1.15e+00 0.00e+00 -1.7 - 1.00e+00 1 1f 8 5.3838000e-04 0.00e+00 5.45e-02 0.00e+00 -1.7 - 1.00e+00 1 1f 9 7.7357147e-05 0.00e+00 1.68e-01 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 10 8.1148568e-07 0.00e+00 3.09e-03 0.00e+00 -2.5 - 1.00e+00 1 1f 11 8.3622983e-10 0.00e+00 3.61e-04 0.00e+00 -3.8 - 1.00e+00 1 1f 12 4.7223815e-10 0.00e+00 3.30e-08 0.00e+00 -5.7 - 1.00e+00 1 1f 13 4.7223811e-10 0.00e+00 4.79e-14 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 13 (scaled) (unscaled) Objective...............: 4.7223811070556859e-10 4.7223811070556859e-10 Dual infeasibility......: 4.7949636605890667e-14 4.7949636605890667e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 4.7949636605890667e-14 4.7949636605890667e-14 Number of objective function evaluations = 14 Number of objective gradient evaluations = 14 Number of constraint evaluations = 14 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 13 Number of KKT backsolves = 13 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.005 s Total wall secs in NLP function evaluations = 0.007 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.005 s Total wall secs = 0.029 s EXIT: Optimal Solution Found (tol = 1.0e-08).