This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 14998 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.................: 5000 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 4 0 1 5.5005168e+07 2.64e+00 8.81e+01 8.17e+00 -1.0 - 1.20e-01 3 1h 2 5.5107586e+07 2.49e+00 8.31e+01 6.40e+00 -1.0 - 5.70e-02 3 1h 3 5.6122850e+07 2.27e+00 7.59e+01 4.78e+00 -1.0 - 8.68e-02 3 1h 4 5.9841486e+07 1.90e+00 6.33e+01 3.51e+00 -1.0 - 1.66e-01 3 1h 5 6.4464848e+07 1.60e+00 5.34e+01 2.76e+00 -1.0 - 1.55e-01 3 1h 6 6.9552481e+07 1.35e+00 4.78e+01 1.95e+00 -1.0 - 1.57e-01 2 1h 7 7.5193491e+07 1.11e+00 6.20e+01 1.08e+00 -1.0 - 1.78e-01 3 1h 8 8.3501951e+07 7.97e-01 5.75e+01 4.56e-01 -1.0 - 2.82e-01 3 1h 9 9.2138029e+07 5.06e-01 4.50e+01 3.15e-01 -1.0 - 3.66e-01 3 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.0260529e+08 1.83e-01 1.65e+01 1.77e-01 -1.0 - 6.38e-01 2 1h 11 1.0889922e+08 1.78e-15 3.61e-09 1.29e-01 -1.0 - 1.00e+00 3 1h 12 1.0874532e+08 1.78e-15 8.62e-01 3.29e-02 -2.5 - 8.39e-01 3 1f 13 1.0871071e+08 1.78e-15 8.11e-09 9.58e-03 -2.5 - 1.00e+00 2 1f 14 1.0870514e+08 1.78e-15 1.57e-04 2.46e-03 -3.8 - 1.00e+00 2 1f 15 1.0870510e+08 1.78e-15 4.50e-10 6.86e-04 -3.8 - 1.00e+00 2 1f 16 1.0870480e+08 1.78e-15 4.05e-04 1.66e-04 -5.7 - 9.97e-01 3 1f 17 1.0870480e+08 1.78e-15 3.49e-11 3.83e-05 -5.7 - 1.00e+00 2 1f 18 1.0870480e+08 1.78e-15 1.37e-11 7.70e-06 -5.7 - 1.00e+00 2 1f 19 1.0870480e+08 1.78e-15 2.28e-11 5.70e-07 -8.6 - 1.00e+00 2 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.0870480e+08 1.78e-15 3.78e-11 6.73e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 20 (scaled) (unscaled) Objective...............: 2.0705676085660548e+05 1.0870479944971788e+08 Dual infeasibility......: 3.7800873542437330e-11 1.9845458609779598e-08 Constraint violation....: 1.7763568394002505e-15 1.7763568394002505e-15 Complementarity.........: 1.2824990215083825e-11 6.7331198629190085e-09 Overall NLP error.......: 6.7331198629190085e-09 6.7331198629190085e-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 = 21 Number of KKT backsolves = 55 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.917 s Total wall secs in NLP function evaluations = 0.006 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.052 s Total wall secs = 0.988 s EXIT: Optimal Solution Found (tol = 1.0e-08).