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.............: 240 Total number of variables............................: 5 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 1.0940086e+04 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 6.2967435e+03 0.00e+00 7.50e+01 0.00e+00 -1.0 2.0 1.00e+00 1 1f 2 3.2492562e+03 0.00e+00 3.50e+01 0.00e+00 -1.0 1.5 5.00e-01 1 2f 3 1.0107715e+03 0.00e+00 6.40e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 4 3.7643132e+02 0.00e+00 8.52e+00 0.00e+00 -1.0 - 2.50e-01 1 3f 5 5.4312845e+01 0.00e+00 3.64e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 6 8.6854657e+00 0.00e+00 1.49e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 7 5.4365195e-01 0.00e+00 2.17e-01 0.00e+00 -1.0 - 1.00e+00 1 1f 8 7.6443117e-03 0.00e+00 3.15e-02 0.00e+00 -1.7 - 1.00e+00 1 1f 9 1.1588926e-03 0.00e+00 2.47e-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 10 2.6438146e-04 0.00e+00 7.61e-03 0.00e+00 -3.8 - 1.00e+00 1 1f 11 1.9149750e-07 0.00e+00 1.00e-05 0.00e+00 -3.8 - 1.00e+00 1 1f 12 1.2891590e-11 0.00e+00 2.36e-06 0.00e+00 -8.6 - 1.00e+00 1 1f 13 2.9419700e-21 0.00e+00 2.03e-12 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 13 (scaled) (unscaled) Objective...............: 9.0445642616915767e-24 2.9419699594892756e-21 Dual infeasibility......: 2.0269804680369440e-12 6.5932591918152852e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 6.2315915365554701e-15 2.0269804680369440e-12 Number of objective function evaluations = 22 Number of objective gradient evaluations = 14 Number of constraint evaluations = 22 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 18 Number of KKT backsolves = 18 Total wall secs in initialization = 0.013 s Total wall secs in linear solver = 0.006 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.006 s Total wall secs = 0.028 s EXIT: Optimal Solution Found (tol = 1.0e-08).