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: 5 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 1.2364047e+04 0.00e+00 1.00e+02 5.90e+01 -1.0 - 0.00e+00 0 0 1 1.1908697e+04 0.00e+00 8.36e+01 3.58e+01 -1.0 - 3.90e-02 1 1f 2 1.1482898e+04 0.00e+00 4.94e+00 3.90e+00 -1.0 0.0 1.00e+00 1 1f 3 1.1047744e+04 0.00e+00 3.69e-01 1.53e-01 -1.0 -0.5 1.00e+00 1 1f 4 1.0968284e+04 0.00e+00 2.55e-01 2.27e-02 -1.7 -0.1 1.00e+00 1 1f 5 1.0887824e+04 0.00e+00 1.94e-01 2.48e-02 -1.7 -0.5 1.00e+00 1 1f 6 1.0861317e+04 0.00e+00 1.63e-01 3.00e-03 -2.5 -0.1 1.00e+00 1 1f 7 1.0826449e+04 0.00e+00 1.17e-01 3.01e-03 -2.5 -0.6 1.00e+00 1 1f 8 1.0816290e+04 0.00e+00 1.02e-01 2.83e-03 -2.5 -0.2 1.00e+00 1 1f 9 1.0794816e+04 0.00e+00 7.58e-02 2.83e-03 -2.5 -0.6 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.0747201e+04 0.00e+00 2.51e-01 2.83e-03 -2.5 -1.1 1.00e+00 1 1f 11 1.0737418e+04 0.00e+00 1.25e+01 2.92e-03 -2.5 - 7.00e-01 1 1f 12 1.0646321e+04 0.00e+00 8.82e-01 8.32e-02 -2.5 - 1.00e+00 1 1f 13 1.0642259e+04 0.00e+00 9.93e-03 2.96e-03 -2.5 - 1.00e+00 1 1f 14 1.0640763e+04 0.00e+00 3.25e-03 7.30e-04 -3.8 - 1.00e+00 1 1f 15 1.0640595e+04 0.00e+00 1.24e-04 2.65e-04 -3.8 - 1.00e+00 1 1f 16 1.0640481e+04 0.00e+00 5.41e-04 6.97e-05 -5.7 - 1.00e+00 1 1f 17 1.0640465e+04 0.00e+00 1.01e-05 1.74e-05 -5.7 - 1.00e+00 1 1f 18 1.0640460e+04 0.00e+00 6.79e-06 3.24e-06 -8.6 - 1.00e+00 1 1f 19 1.0640459e+04 0.00e+00 1.44e-07 2.59e-07 -8.6 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.0640459e+04 0.00e+00 1.22e-09 4.55e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 20 (scaled) (unscaled) Objective...............: 2.8386383910986162e+01 1.0640458573275006e+04 Dual infeasibility......: 1.2205202445744867e-09 4.5750438453036236e-07 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.2147054480993875e-11 4.5532474441842219e-09 Overall NLP error.......: 4.5532474441842219e-09 4.5532474441842219e-09 Number of objective function evaluations = 21 Number of objective gradient evaluations = 21 Number of constraint evaluations = 21 Number of constraint Jacobian evaluations = 21 Number of Lagrangian Hessian evaluations = 20 Number of KKT factorizations = 34 Number of KKT backsolves = 20 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.010 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.023 s Total wall secs = 0.049 s EXIT: Optimal Solution Found (tol = 1.0e-08).