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............................: 4 variables with only lower bounds: 0 variables with lower and upper bounds: 4 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 1.0512683e+05 0.00e+00 1.00e+02 9.80e+01 -1.0 - 0.00e+00 1 0 1 1.0484744e+05 0.00e+00 1.00e+02 9.90e-01 -1.0 4.0 1.00e+00 1 1f 2 1.0400879e+05 0.00e+00 1.00e+02 1.00e-01 -1.0 3.5 1.00e+00 1 1f 3 1.0150161e+05 0.00e+00 9.80e+01 1.00e-01 -1.0 3.0 1.00e+00 1 1f 4 9.4408902e+04 0.00e+00 7.43e+01 1.00e-01 -1.0 2.6 1.00e+00 1 1f 5 7.9665306e+04 0.00e+00 6.78e+01 1.00e-01 -1.0 2.1 1.00e+00 1 1f 6 6.7320189e+04 0.00e+00 4.12e+02 1.00e-01 -1.0 1.6 5.00e-01 1 2f 7 5.6709807e+04 0.00e+00 5.07e+02 1.00e-01 -1.0 3.8 1.00e+00 1 1f 8 3.2745695e+04 0.00e+00 3.37e+02 1.00e-01 -1.0 3.4 1.00e+00 1 1f 9 2.5541843e+04 0.00e+00 2.71e+02 1.05e-01 -1.0 - 3.19e-01 1 2f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.9419550e+04 0.00e+00 1.58e+01 1.42e-01 -1.0 - 1.00e+00 1 1f 11 1.6362959e+04 0.00e+00 3.77e+01 1.18e-01 -1.0 - 7.93e-02 1 3f 12 1.2050249e+04 0.00e+00 7.26e+01 1.55e-01 -1.0 - 1.00e+00 1 1f 13 7.0722255e+03 0.00e+00 2.12e+01 1.00e-01 -1.0 - 1.00e+00 1 1f 14 5.1926389e+03 0.00e+00 1.45e+02 1.10e-01 -1.0 - 1.00e+00 1 1f 15 1.0644886e+03 0.00e+00 6.42e+01 1.03e-01 -1.0 - 1.00e+00 1 1f 16 1.4151005e+02 0.00e+00 3.73e+01 1.31e-01 -1.0 - 3.34e-01 1 2f 17 1.5274965e+00 0.00e+00 9.47e-01 1.00e-01 -1.0 - 1.00e+00 1 1f 18 1.6966812e-03 0.00e+00 8.80e-02 2.08e-02 -1.7 - 1.00e+00 1 1f 19 4.4828730e-05 0.00e+00 3.15e-05 2.83e-03 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.2600329e-07 0.00e+00 1.90e-06 1.51e-04 -3.8 - 1.00e+00 1 1f 21 1.8912391e-11 0.00e+00 5.79e-09 1.85e-06 -5.7 - 1.00e+00 1 1f 22 3.4868645e-17 0.00e+00 1.01e-12 2.51e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 22 (scaled) (unscaled) Objective...............: 1.6141937385717026e-19 3.4868644964334770e-17 Dual infeasibility......: 1.0063184031240277e-12 2.1737761881455459e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.1601375393520607e-11 2.5060451544842281e-09 Overall NLP error.......: 2.5060451544842281e-09 2.5060451544842281e-09 Number of objective function evaluations = 44 Number of objective gradient evaluations = 23 Number of constraint evaluations = 44 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 38 Number of KKT backsolves = 39 Total wall secs in initialization = 0.010 s Total wall secs in linear solver = 0.036 s Total wall secs in NLP function evaluations = 0.004 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.048 s Total wall secs = 0.097 s EXIT: Optimal Solution Found (tol = 1.0e-08).