This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 1303 Number of nonzeros in Lagrangian Hessian.............: 1870 Total number of variables............................: 236 variables with only lower bounds: 0 variables with lower and upper bounds: 206 variables with only upper bounds: 0 Total number of equality constraints.................: 225 Total number of inequality constraints...............: 123 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 41 inequality constraints with only upper bounds: 82 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 2.9330612e+02 7.89e-01 6.32e+00 2.50e+00 -1.0 - 0.00e+00 1 0 1 7.5068521e+02 4.51e-01 4.77e+01 2.41e+00 -1.0 - 8.86e-01 1 1h 2 7.7201966e+02 2.78e-01 2.55e+01 1.44e+00 -1.0 - 4.67e-01 1 1h 3 8.0412363e+02 6.12e-02 4.00e+00 7.27e-01 -1.0 - 1.00e+00 1 1h 4 8.0432524e+02 6.92e-04 1.35e-01 2.12e-01 -1.0 - 1.00e+00 1 1h 5 8.0350602e+02 1.83e-03 2.19e+00 3.86e-02 -2.5 - 1.00e+00 1 1h 6 8.0323556e+02 9.64e-04 1.95e-01 1.19e-02 -2.5 - 1.00e+00 1 1h 7 8.0316112e+02 4.81e-04 2.46e-03 4.48e-03 -2.5 - 1.00e+00 1 1h 8 8.0312734e+02 2.81e-04 2.88e-02 9.74e-04 -3.8 - 1.00e+00 1 1h 9 8.0312881e+02 2.99e-05 1.10e-04 2.36e-04 -3.8 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 8.0312730e+02 4.37e-06 1.76e-05 1.48e-05 -5.7 - 1.00e+00 1 1h 11 8.0312731e+02 1.54e-08 6.49e-08 5.46e-08 -8.6 - 1.00e+00 1 1h 12 8.0312731e+02 1.35e-13 1.14e-12 2.51e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 2.2222670760370096e+02 8.0312731039066671e+02 Dual infeasibility......: 1.1368683772161603e-12 4.1086422595526531e-12 Constraint violation....: 1.3539169785303784e-13 1.3539169785303784e-13 Complementarity.........: 6.9353196419452693e-10 2.5064244846159542e-09 Overall NLP error.......: 2.5064244846159542e-09 2.5064244846159542e-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 = 13 Number of KKT backsolves = 14 Total wall secs in initialization = 0.017 s Total wall secs in linear solver = 0.054 s Total wall secs in NLP function evaluations = 0.037 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.152 s Total wall secs = 0.260 s EXIT: Optimal Solution Found (tol = 1.0e-08).