This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 17493 Number of nonzeros in Lagrangian Hessian.............: 27489 Total number of variables............................: 9997 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 7497 inequality constraints with only lower bounds: 7497 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 1.3494600e+05 0.00e+00 5.00e+01 1.00e+01 -1.0 - 0.00e+00 0 0 1 5.3214205e+04 4.61e-01 2.75e+01 5.27e+00 -1.0 - 4.73e-01 1 1f 2 1.5805308e+04 1.81e+00 1.05e+01 3.22e+00 -1.0 - 6.41e-01 1 1h 3 1.3042801e+04 7.56e+00 1.15e+01 3.00e+00 -1.0 - 1.05e-01 1 1h 4 5.3375936e+03 3.86e+00 6.00e+00 1.64e+00 -1.0 - 5.10e-01 1 1h 5 2.0596382e+03 1.45e+00 1.79e+00 1.11e+00 -1.0 - 8.54e-01 1 1h 6 1.2890997e+03 3.15e-01 6.64e-01 5.07e-01 -1.0 - 8.44e-01 1 1h 7 9.1951727e+02 1.32e-01 2.17e-01 7.91e-02 -1.7 - 1.00e+00 1 1h 8 8.6120322e+02 1.23e-02 6.61e-02 2.31e-02 -1.7 - 1.00e+00 1 1h 9 8.0058934e+02 3.54e-02 3.85e-02 6.95e-03 -2.5 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 7.9194785e+02 4.43e-03 1.10e-02 3.43e-03 -2.5 - 1.00e+00 1 1h 11 7.8166801e+02 6.49e-03 9.35e-03 9.34e-04 -3.8 - 1.00e+00 1 1h 12 7.8114506e+02 1.40e-03 3.47e-03 3.14e-04 -3.8 - 1.00e+00 1 1h 13 7.8110279e+02 3.36e-04 7.46e-04 1.72e-04 -3.8 - 1.00e+00 1 1h 14 7.8052635e+02 4.71e-04 8.42e-04 4.38e-05 -5.7 - 1.00e+00 1 1h 15 7.8051802e+02 2.87e-04 3.66e-04 1.19e-05 -5.7 - 1.00e+00 1 1h 16 7.8051619e+02 1.33e-04 1.20e-04 3.97e-06 -5.7 - 1.00e+00 1 1h 17 7.8051575e+02 3.59e-05 2.40e-05 2.13e-06 -5.7 - 1.00e+00 1 1h 18 7.8051575e+02 1.10e-04 8.92e-05 1.99e-06 -5.7 - 3.12e-02 1 6h 19 7.8051568e+02 9.14e-06 1.06e-06 1.85e-06 -5.7 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 7.8050858e+02 4.32e-05 2.20e-05 4.63e-07 -8.6 - 1.00e+00 1 1h 21 7.8050851e+02 2.96e-05 1.11e-05 1.17e-07 -8.6 - 1.00e+00 1 1h 22 7.8050849e+02 1.64e-05 4.37e-06 3.05e-08 -8.6 - 1.00e+00 1 1h 23 7.8050849e+02 7.88e-06 1.49e-06 8.93e-09 -8.6 - 1.00e+00 1 1h 24 7.8050848e+02 2.76e-06 3.79e-07 3.66e-09 -8.6 - 1.00e+00 1 1h 25 7.8050848e+02 4.06e-07 3.87e-08 2.60e-09 -8.6 - 1.00e+00 1 1h 26 7.8050848e+02 1.32e-08 5.43e-10 2.51e-09 -8.6 - 1.00e+00 1 1h 27 7.8050848e+02 6.37e-07 6.16e-08 1.16e-09 -9.0 - 1.00e+00 1 1h 28 7.8050848e+02 8.83e-08 7.38e-09 9.23e-10 -9.0 - 1.00e+00 1 1h 29 7.8050848e+02 7.01e-10 5.47e-11 9.09e-10 -9.0 - 1.00e+00 1 1h Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 7.8050847796509402e+02 7.8050847796509402e+02 Dual infeasibility......: 5.4661409942053279e-11 5.4661409942053279e-11 Constraint violation....: 7.0148910291667477e-10 7.0148910291667477e-10 Complementarity.........: 9.0914340019811252e-10 9.0914340019811252e-10 Overall NLP error.......: 9.0914340019811252e-10 9.0914340019811252e-10 Number of objective function evaluations = 36 Number of objective gradient evaluations = 30 Number of constraint evaluations = 36 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 29 Number of KKT backsolves = 30 Total wall secs in initialization = 0.039 s Total wall secs in linear solver = 0.022 s Total wall secs in NLP function evaluations = 0.009 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.043 s Total wall secs = 0.113 s EXIT: Optimal Solution Found (tol = 1.0e-08).