This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 3696 Number of nonzeros in Lagrangian Hessian.............: 36414 Total number of variables............................: 2704 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...............: 3696 inequality constraints with only lower bounds: 3488 inequality constraints with lower and upper bounds: 208 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 2.3231432e+00 2.90e-01 1.00e+00 1.00e+00 -1.0 - 0.00e+00 0 0 1 2.4676933e+00 9.99e-02 5.80e-04 2.02e-04 -1.7 - 6.56e-01 1 1h 2 2.5870846e+00 2.82e-04 3.05e-04 5.41e-05 -2.5 - 9.97e-01 1 1h 3 2.5532802e+00 4.22e-15 1.05e-03 6.16e-05 -5.7 - 1.00e+00 1 1h 4 2.5299108e+00 1.14e-12 6.06e+00 6.16e-05 -5.7 - 1.00e+00 1 1f 5 2.5181488e+00 1.67e-12 1.95e-01 1.41e-05 -5.7 - 9.09e-01 1 1f 6 2.5160473e+00 8.24e-14 1.26e+00 4.68e-06 -5.7 - 9.50e-01 1 1f 7 2.5157892e+00 2.22e-16 7.73e-06 2.27e-06 -5.7 - 1.00e+00 1 1f 8 2.5151615e+00 2.22e-16 3.31e+01 7.05e-07 -8.6 - 7.84e-01 1 1f 9 2.5149497e+00 2.62e-14 2.32e+00 1.91e-07 -8.6 - 9.30e-01 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 2.5149035e+00 3.22e-15 4.65e-07 4.88e-08 -8.6 - 1.00e+00 1 1f 11 2.5148934e+00 1.07e-16 4.67e-08 1.35e-08 -8.6 - 1.00e+00 1 1f 12 2.5148909e+00 7.87e-17 5.05e-09 4.74e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 2.5148908666021050e+00 2.5148908666021050e+00 Dual infeasibility......: 5.0538809075184599e-09 5.0538809075184599e-09 Constraint violation....: 7.8746583212765185e-17 7.8746583212765185e-17 Complementarity.........: 4.7426582759365336e-09 4.7426582759365336e-09 Overall NLP error.......: 5.0538809075184599e-09 5.0538809075184599e-09 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of constraint evaluations = 13 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 12 Number of KKT backsolves = 12 Total wall secs in initialization = 0.037 s Total wall secs in linear solver = 0.025 s Total wall secs in NLP function evaluations = 0.011 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.037 s Total wall secs = 0.109 s EXIT: Optimal Solution Found (tol = 1.0e-08).