This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 115005 Number of nonzeros in Lagrangian Hessian.............: 120024 Total number of variables............................: 25004 variables with only lower bounds: 10000 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 20004 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 4.9999900e-01 6.35e+02 6.32e-01 1.00e-02 -1.0 - 0.00e+00 1 0 1 4.4648561e-01 6.34e+02 1.09e+00 1.13e-02 -1.0 - 2.01e-03 1 1h 2 4.9564657e-01 6.33e+02 1.08e+00 1.09e-02 -1.0 - 1.67e-03 1 1h 3 5.9681122e-01 6.31e+02 1.08e+00 1.08e-02 -1.0 - 1.91e-03 1 1h 4 7.3291410e-01 6.30e+02 1.08e+00 1.09e-02 -1.0 - 2.14e-03 1 1h 5 8.9464321e-01 6.29e+02 1.07e+00 1.11e-02 -1.0 - 2.30e-03 1 1h 6 1.1253128e+00 6.27e+02 1.07e+00 1.14e-02 -1.0 - 3.03e-03 1 1h 7 1.5314333e+00 6.24e+02 2.31e+00 1.22e-02 -1.0 - 4.88e-03 1 1h 8 2.0795658e+00 6.20e+02 2.29e+00 1.24e-02 -1.0 - 5.96e-03 1 1h 9 2.9381017e+00 6.15e+02 2.26e+00 1.32e-02 -1.0 - 8.36e-03 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 4.4898494e+00 6.07e+02 3.61e+00 1.49e-02 -1.0 - 1.32e-02 1 1h 11 7.3774341e+00 5.94e+02 3.47e+00 1.63e-02 -1.0 - 2.08e-02 1 1h 12 2.0840863e+01 5.52e+02 6.74e+00 2.44e-02 -1.0 - 7.08e-02 1 1h 13 6.6106139e+02 1.25e-12 1.13e+01 1.48e-01 -1.0 - 1.00e+00 1 1h 14 3.4259592e+02 5.68e-13 3.88e+00 1.07e-01 -1.0 - 5.54e-01 1 1f 15 5.0424375e+02 3.55e-14 1.39e+00 1.77e-01 -1.0 - 1.00e+00 1 1f 16 4.9901440e+02 1.07e-13 1.00e-06 1.15e-01 -1.0 - 1.00e+00 1 1f 17 4.1484872e+01 1.14e-13 2.83e-08 3.02e-02 -2.5 - 1.00e+00 1 1f 18 7.2186898e+00 7.11e-14 1.50e-09 7.62e-03 -3.8 - 1.00e+00 1 1f 19 2.3228487e+00 4.97e-14 1.50e-09 1.98e-03 -3.8 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.1107766e+00 1.14e-13 1.50e-09 5.73e-04 -3.8 - 1.00e+00 1 1f 21 1.3487161e-01 1.14e-13 1.85e-11 1.44e-04 -5.7 - 1.00e+00 1 1f 22 4.0021127e-02 2.27e-13 1.85e-11 3.70e-05 -5.7 - 1.00e+00 1 1f 23 1.6330296e-02 2.27e-13 1.85e-11 1.02e-05 -5.7 - 1.00e+00 1 1f 24 2.0777986e-03 1.14e-13 4.11e-13 2.55e-06 -8.6 - 1.00e+00 1 1f 25 3.6399401e-04 1.14e-13 2.67e-14 6.39e-07 -8.6 - 1.00e+00 2 1f 26 -6.4452503e-05 1.14e-13 2.68e-14 1.61e-07 -8.6 - 1.00e+00 2 1f 27 -1.7155518e-04 1.14e-13 2.68e-14 4.15e-08 -8.6 - 1.00e+00 2 1f 28 -1.9830008e-04 1.14e-13 2.68e-14 1.17e-08 -8.6 - 1.00e+00 2 1f 29 -2.1220553e-04 2.84e-14 1.08e-14 3.39e-09 -9.0 - 1.00e+00 2 1f Number of Iterations....: 29 (scaled) (unscaled) Objective...............: -2.1220552770365598e-04 -2.1220552770365598e-04 Dual infeasibility......: 1.0823373652422290e-14 1.0823373652422290e-14 Constraint violation....: 2.8421709430404007e-14 2.8421709430404007e-14 Complementarity.........: 3.3876881473514398e-09 3.3876881473514398e-09 Overall NLP error.......: 3.3876881473514398e-09 3.3876881473514398e-09 Number of objective function evaluations = 30 Number of objective gradient evaluations = 30 Number of constraint evaluations = 30 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 30 Number of KKT backsolves = 35 Total wall secs in initialization = 0.019 s Total wall secs in linear solver = 0.191 s Total wall secs in NLP function evaluations = 0.028 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.064 s Total wall secs = 0.301 s EXIT: Optimal Solution Found (tol = 1.0e-08).