This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 7499 Number of nonzeros in Lagrangian Hessian.............: 59992 Total number of variables............................: 10000 variables with only lower bounds: 0 variables with lower and upper bounds: 10000 variables with only upper bounds: 0 Total number of equality constraints.................: 2500 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 5.6255625e+07 3.00e+00 1.00e+02 9.50e+00 -1.0 - 0.00e+00 1 0 1 5.2232579e+07 2.69e+00 8.97e+01 8.65e+00 -1.0 - 1.03e-01 1 1h 2 5.1032146e+07 2.56e+00 8.52e+01 7.66e+00 -1.0 - 4.81e-02 1 1h 3 4.9820860e+07 2.31e+00 7.68e+01 6.44e+00 -1.0 - 9.70e-02 1 1h 4 5.0007900e+07 2.00e+00 6.61e+01 5.11e+00 -1.0 - 1.36e-01 1 1h 5 5.1568075e+07 1.72e+00 5.64e+01 3.68e+00 -1.0 - 1.39e-01 1 1h 6 5.4635397e+07 1.41e+00 4.50e+01 2.02e+00 -1.0 - 1.82e-01 1 1h 7 6.0273984e+07 1.01e+00 3.09e+01 1.00e+00 -1.0 - 2.83e-01 1 1h 8 6.6801480e+07 6.55e-01 1.96e+01 3.85e-01 -1.0 - 3.52e-01 1 1h 9 7.3899503e+07 3.32e-01 1.09e+01 2.46e-01 -1.0 - 4.92e-01 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 8.0995381e+07 4.33e-02 1.41e+00 1.20e-01 -1.0 - 8.70e-01 1 1h 11 8.2115501e+07 1.78e-15 1.28e-13 1.28e-01 -1.0 - 1.00e+00 1 1h 12 8.1865001e+07 1.78e-15 1.16e-01 3.01e-02 -2.5 - 9.91e-01 1 1f 13 8.1850780e+07 1.78e-15 1.44e-12 8.60e-03 -2.5 - 1.00e+00 1 1f 14 8.1842945e+07 1.78e-15 8.46e-13 2.22e-03 -3.8 - 1.00e+00 1 1f 15 8.1842883e+07 1.78e-15 2.89e-12 6.34e-04 -3.8 - 1.00e+00 1 1f 16 8.1842469e+07 1.78e-15 1.43e-03 1.61e-04 -5.7 - 9.87e-01 1 1f 17 8.1842463e+07 1.78e-15 1.42e-13 4.13e-05 -5.7 - 1.00e+00 2 1f 18 8.1842463e+07 1.78e-15 8.53e-14 1.13e-05 -5.7 - 1.00e+00 2 1f 19 8.1842458e+07 1.78e-15 3.39e-05 2.81e-06 -8.6 - 9.98e-01 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 8.1842458e+07 1.78e-15 1.14e-13 6.96e-07 -8.6 - 1.00e+00 2 1f 21 8.1842458e+07 1.78e-15 1.14e-13 1.68e-07 -8.6 - 1.00e+00 2 1h 22 8.1842458e+07 1.78e-15 8.53e-14 3.65e-08 -8.6 - 1.00e+00 2 1h 23 8.1842458e+07 1.78e-15 8.53e-14 6.66e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 23 (scaled) (unscaled) Objective...............: 1.5589039578255443e+05 8.1842457785841078e+07 Dual infeasibility......: 8.5265128291212022e-14 4.4764192352886312e-11 Constraint violation....: 1.7763568394002505e-15 1.7763568394002505e-15 Complementarity.........: 1.2691457687586158e-11 6.6630152859827328e-09 Overall NLP error.......: 6.6630152859827328e-09 6.6630152859827328e-09 Number of objective function evaluations = 24 Number of objective gradient evaluations = 24 Number of constraint evaluations = 24 Number of constraint Jacobian evaluations = 24 Number of Lagrangian Hessian evaluations = 23 Number of KKT factorizations = 24 Number of KKT backsolves = 30 Total wall secs in initialization = 0.008 s Total wall secs in linear solver = 0.644 s Total wall secs in NLP function evaluations = 0.007 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.057 s Total wall secs = 0.716 s EXIT: Optimal Solution Found (tol = 1.0e-08).