This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 4160 Number of nonzeros in Lagrangian Hessian.............: 519 Total number of variables............................: 520 variables with only lower bounds: 503 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 8 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 8 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 1.5099960e-02 2.20e+02 2.00e+00 1.26e+03 -1.0 - 0.00e+00 0 0 1 1.1655903e+00 1.90e+02 1.78e+00 1.01e+03 -1.0 - 1.34e-01 2 1h 2 5.6831930e+00 1.54e+02 5.01e+00 5.86e+02 -1.0 - 1.92e-01 1 1h 3 2.9850350e+01 2.27e-13 1.43e+01 6.81e+02 -1.0 - 1.00e+00 1 1h 4 -1.5146436e+03 2.27e-13 1.92e+01 6.85e+02 -1.0 - 6.23e-03 1 1f 5 -2.2938017e+03 1.02e-13 1.02e+01 6.75e+02 -1.0 - 2.20e-03 1 1f 6 -2.9766178e+03 2.27e-13 1.62e+01 6.78e+02 -1.0 - 4.51e-03 1 1f 7 -3.1704452e+03 2.27e-13 1.14e+01 6.55e+02 -1.0 - 2.15e-03 1 1f 8 -3.9500013e+03 2.27e-13 4.30e+01 6.22e+02 -1.0 - 1.47e-02 1 1f 9 -4.8376123e+03 1.51e-13 1.56e+02 2.67e+02 -1.0 - 2.83e-02 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -8.7918449e+03 1.23e-13 3.65e+01 3.15e+02 -1.0 - 1.74e-01 1 1f 11 -1.2262209e+04 4.55e-13 1.96e+02 3.24e+02 -1.0 - 2.29e-01 1 1f 12 -1.8112144e+04 1.16e-12 6.48e+02 4.71e+02 -1.0 - 9.38e-01 1 1f 13 -1.8184052e+04 4.63e-13 2.18e+01 1.42e+00 -1.0 - 2.80e-01 1 1f 14 -1.8258780e+04 1.09e-11 3.11e+00 1.45e-02 -1.0 - 1.00e+00 1 1f 15 -1.8258939e+04 2.73e-12 1.17e-07 1.15e-02 -1.0 - 1.00e+00 1 1f 16 -1.8309361e+04 9.09e-13 1.26e-07 4.96e-05 -3.8 - 1.00e+00 1 1f 17 -1.8309436e+04 1.82e-12 2.27e-12 2.14e-07 -5.7 - 1.00e+00 2 1f 18 -1.8309437e+04 9.09e-13 3.98e-06 1.72e-09 -8.6 - 9.97e-01 2 1f 19 -1.8309437e+04 1.19e-10 1.54e-02 8.86e-10 -8.6 -4.0 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -1.8309437e+04 8.82e-13 1.33e-13 3.54e-10 -8.6 - 1.00e+00 2 1h Number of Iterations....: 20 (scaled) (unscaled) Objective...............: -1.8309436614890947e+04 -1.8309436614890947e+04 Dual infeasibility......: 1.3332559099834803e-13 1.3332559099834803e-13 Constraint violation....: 8.8163072680242470e-13 8.8163072680242470e-13 Complementarity.........: 3.5375357180697892e-10 3.5375357180697892e-10 Overall NLP error.......: 3.5375357180697892e-10 3.5375357180697892e-10 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 = 24 Total wall secs in initialization = 0.035 s Total wall secs in linear solver = 0.054 s Total wall secs in NLP function evaluations = 0.004 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.040 s Total wall secs = 0.134 s EXIT: Optimal Solution Found (tol = 1.0e-08).