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.............: 31 Total number of variables............................: 3 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 6.2900000e+02 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 1 0 1 6.2433625e+02 0.00e+00 9.97e+01 0.00e+00 -1.0 4.0 1.00e+00 1 1f 2 6.1050886e+02 0.00e+00 9.86e+01 0.00e+00 -1.0 3.5 1.00e+00 1 1f 3 5.6959889e+02 0.00e+00 9.51e+01 0.00e+00 -1.0 3.0 1.00e+00 1 1f 4 5.5436168e+02 0.00e+00 9.35e+01 0.00e+00 -1.0 3.5 1.00e+00 1 1f 5 5.0340342e+02 0.00e+00 8.75e+01 0.00e+00 -1.0 3.0 1.00e+00 1 1f 6 4.8262715e+02 0.00e+00 8.46e+01 0.00e+00 -1.0 3.4 1.00e+00 1 1f 7 3.9008997e+02 0.00e+00 1.17e+02 0.00e+00 -1.0 2.9 1.00e+00 1 1f 8 1.1301913e+02 0.00e+00 8.66e+01 0.00e+00 -1.0 2.5 7.81e-03 1 8f 9 6.1193118e+01 0.00e+00 3.70e+01 0.00e+00 -1.0 2.0 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.8938542e+01 0.00e+00 3.25e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 11 5.4564068e+00 0.00e+00 1.49e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 12 1.3717174e+00 0.00e+00 9.11e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 13 3.2145868e-01 0.00e+00 4.85e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 14 7.9536817e-02 0.00e+00 2.27e+00 0.00e+00 -1.0 - 1.00e+00 1 1f 15 1.9944612e-02 0.00e+00 9.71e-01 0.00e+00 -1.0 - 1.00e+00 1 1f 16 4.7509911e-03 0.00e+00 4.82e-01 0.00e+00 -1.7 - 1.00e+00 1 1f 17 8.2443392e-04 0.00e+00 2.54e-01 0.00e+00 -1.7 - 1.00e+00 1 1f 18 5.2752004e-05 0.00e+00 9.38e-02 0.00e+00 -1.7 - 1.00e+00 1 1f 19 3.0867378e-07 0.00e+00 8.38e-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 1.1711560e-11 0.00e+00 5.12e-05 0.00e+00 -3.8 - 1.00e+00 1 1f 21 1.7002442e-20 0.00e+00 1.98e-09 0.00e+00 -5.7 - 1.00e+00 1 1f Number of Iterations....: 21 (scaled) (unscaled) Objective...............: 3.8293787809815891e-21 1.7002441787558257e-20 Dual infeasibility......: 1.9838682248548777e-09 8.8083749183556562e-09 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 4.4681716776010763e-10 1.9838682248548777e-09 Number of objective function evaluations = 33 Number of objective gradient evaluations = 22 Number of constraint evaluations = 33 Number of constraint Jacobian evaluations = 22 Number of Lagrangian Hessian evaluations = 21 Number of KKT factorizations = 37 Number of KKT backsolves = 26 Total wall secs in initialization = 0.002 s Total wall secs in linear solver = 0.022 s Total wall secs in NLP function evaluations = 0.006 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.016 s Total wall secs = 0.046 s EXIT: Optimal Solution Found (tol = 1.0e-08).