This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 50 Number of nonzeros in Lagrangian Hessian.............: 100 Total number of variables............................: 9 variables with only lower bounds: 2 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 6 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 4.8533335e+03 8.00e-01 9.90e+01 8.00e-01 -1.0 - 0.00e+00 0 0 1 4.8533334e+03 8.00e-01 2.30e-03 6.55e-06 -1.0 - 1.00e-07 1 2h 2 4.6823953e+03 1.55e-01 3.37e-03 7.06e-06 -1.7 - 1.00e+00 3 1h 3 4.6738830e+03 1.48e-01 3.51e-03 6.99e-06 -2.5 - 3.53e-02 3 1h 4 4.8755644e+03 6.04e-02 6.18e-03 1.73e-06 -2.5 - 5.90e-01 2 1h 5 4.9414202e+03 3.57e-02 6.42e-03 3.03e-05 -2.5 - 4.09e-01 2 1h 6 4.9432381e+03 3.50e-02 6.75e-03 3.10e-05 -2.5 - 1.75e-02 3 1h 7 5.0545547e+03 9.39e-04 2.10e-04 6.75e-05 -2.5 - 1.00e+00 3 1h 8 5.0543661e+03 4.78e-04 8.89e-02 4.57e-04 -5.7 - 4.95e-01 2 1h 9 5.0549793e+03 1.56e-05 9.55e-02 1.76e-05 -5.7 - 9.67e-01 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 5.0550119e+03 3.22e-10 2.38e-06 1.64e-06 -5.7 - 1.00e+00 1 1h 11 5.0550117e+03 1.69e-13 1.08e-05 5.17e-07 -8.6 - 1.00e+00 1 1h 12 5.0550117e+03 7.22e-16 2.58e-06 6.82e-08 -8.6 - 1.00e+00 1 1f 13 5.0550117e+03 3.05e-16 5.51e-14 2.53e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 13 (scaled) (unscaled) Objective...............: 1.0274413940151818e+02 5.0550116585546948e+03 Dual infeasibility......: 5.5112164831783161e-14 2.7115185097237315e-12 Constraint violation....: 3.0531128098270532e-16 3.0531128098270532e-16 Complementarity.........: 5.1455578586100771e-11 2.5316144664361581e-09 Overall NLP error.......: 2.5316144664361581e-09 2.5316144664361581e-09 Number of objective function evaluations = 15 Number of objective gradient evaluations = 14 Number of constraint evaluations = 15 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 13 Number of KKT backsolves = 25 Total wall secs in initialization = 0.016 s Total wall secs in linear solver = 0.015 s Total wall secs in NLP function evaluations = 0.004 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.025 s Total wall secs = 0.060 s EXIT: Optimal Solution Found (tol = 1.0e-08).