This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 234 Number of nonzeros in Lagrangian Hessian.............: 85 Total number of variables............................: 117 variables with only lower bounds: 0 variables with lower and upper bounds: 117 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 64 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 64 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 -2.4668562e+02 9.00e-02 1.43e+01 1.00e+06 -1.0 - 0.00e+00 0 0 1 -2.4668578e+02 9.00e-02 2.51e+02 8.04e+02 -1.0 - 1.97e-07 1 1h 2 -3.2956267e+02 8.43e-02 2.61e+01 4.13e+02 -1.0 - 6.36e-02 3 1h 3 -3.2966806e+02 8.39e-02 8.69e+01 3.46e+02 -1.0 - 4.08e-03 10 1h 4 -6.9171817e+02 7.08e-02 1.37e+02 2.32e+02 -1.0 - 1.56e-01 5 1h 5 -7.5842049e+02 6.95e-02 1.29e+02 1.93e+02 -1.0 - 1.87e-02 10 1h 6 -2.4292738e+03 5.01e-02 1.31e+02 1.49e+02 -1.0 - 2.80e-01 9 1h 7 -8.1859385e+03 3.41e-02 8.83e+01 9.24e+01 -1.0 -4.0 3.19e-01 1 1h 8 -3.5233621e+04 1.77e-02 6.38e+01 6.36e+01 -1.0 -4.5 4.81e-01 1 1h 9 -1.5207474e+05 6.85e-03 4.59e+01 4.42e+01 -1.0 -5.0 6.13e-01 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -6.1290299e+05 1.43e-03 3.11e+01 2.92e+01 -1.0 -5.4 7.91e-01 2 1h 11 -2.0113947e+06 2.75e-05 1.96e+01 1.80e+01 -1.0 -5.9 9.81e-01 2 1h 12 -4.3190653e+06 8.78e-10 1.09e+01 9.84e+00 -1.0 -6.4 1.00e+00 2 1h 13 -6.2788064e+06 1.25e-09 4.47e+00 4.00e+00 -1.0 -6.9 1.00e+00 2 1f 14 -7.0369314e+06 1.04e-09 1.27e+00 1.21e+00 -1.0 -7.3 1.00e+00 2 1f 15 -7.1272316e+06 7.42e-10 1.68e-01 2.65e-01 -1.0 -7.8 1.00e+00 3 1f 16 -7.1292892e+06 1.15e-09 1.84e-02 7.02e-02 -1.7 -8.3 1.00e+00 2 1f 17 -7.1292920e+06 3.48e-09 2.68e-03 1.67e-02 -2.5 -8.8 1.00e+00 1 1f 18 -7.1292920e+06 3.48e-09 2.54e-03 3.74e-06 -3.8 -9.2 3.05e-05 2 16h 19 -7.1292920e+06 3.48e-09 2.54e-03 3.74e-06 -3.8 -9.7 7.63e-06 2 18h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -7.1292920e+06 3.48e-09 2.54e-03 3.74e-06 -3.8 -10.2 3.05e-05 3 16h 22 -7.1292920e+06 9.99e-09 3.12e-10 7.37e-08 -3.8 - 1.00e+00 3 22R 22r-7.1292920e+06 2.65e-23 4.58e+02 7.11e-05 -3.8 - 1.32e-02 10 22f 23r-7.1292920e+06 5.13e-09 1.20e+00 3.82e-06 -3.8 -6.6 6.00e-02 1 2f 24 -7.1292920e+06 7.75e-10 2.17e-04 3.05e-06 -3.8 -6.2 1.00e+00 1 1f 25 -7.1292920e+06 8.14e-10 1.01e-04 4.03e-06 -5.7 -6.7 1.00e+00 3 1f 26 -7.1292920e+06 2.65e-10 6.16e-08 1.85e-06 -5.7 -7.2 1.00e+00 6 1h 27 -7.1292920e+06 2.72e-10 1.52e-02 2.36e-08 -8.6 -7.6 1.00e+00 8 1h 28 -7.1292920e+06 1.17e-10 5.47e-11 2.51e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 28 (scaled) (unscaled) Objective...............: -7.1292920000000000e+06 -7.1292920000000000e+06 Dual infeasibility......: 5.4700261848732523e-11 5.4700261848732523e-11 Constraint violation....: 1.1669739237034209e-10 1.1669739237034209e-10 Complementarity.........: 2.5059035803754354e-09 2.5059035803754354e-09 Overall NLP error.......: 2.5059035803754354e-09 2.5059035803754354e-09 Number of objective function evaluations = 101 Number of objective gradient evaluations = 29 Number of constraint evaluations = 102 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 55 Number of KKT backsolves = 128 Total wall secs in initialization = 0.015 s Total wall secs in linear solver = 0.067 s Total wall secs in NLP function evaluations = 0.008 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.065 s Total wall secs = 0.155 s EXIT: Optimal Solution Found (tol = 1.0e-08).