This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 4 Number of nonzeros in Lagrangian Hessian.............: 5 Total number of variables............................: 2 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...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 2 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 0.0000000e+00 3.68e-01 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 0.0000000e+00 3.68e-01 3.46e-16 3.92e-08 -1.7 - 1.00e-08 2 1h 2 0.0000000e+00 1.35e-01 8.44e-18 1.98e-08 -1.7 - 1.00e+00 2 1h 3 0.0000000e+00 4.98e-02 2.45e-15 1.98e-08 -2.5 - 1.00e+00 2 1h 4 0.0000000e+00 1.83e-02 1.78e-16 1.98e-08 -2.5 - 1.00e+00 2 1h 5 0.0000000e+00 6.69e-03 6.81e-15 1.98e-08 -3.8 - 1.00e+00 2 1h 6 0.0000000e+00 2.43e-03 1.62e-15 1.98e-08 -3.8 - 1.00e+00 2 1h 7 0.0000000e+00 8.66e-04 4.67e-18 1.98e-08 -3.8 - 1.00e+00 2 1h 8 0.0000000e+00 2.92e-04 2.88e-14 1.98e-08 -5.7 - 1.00e+00 2 1h 9 0.0000000e+00 8.45e-05 4.02e-16 1.98e-08 -5.7 - 1.00e+00 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 0.0000000e+00 2.19e-05 1.93e-15 1.98e-08 -5.7 - 1.00e+00 2 1h 11 0.0000000e+00 1.69e-06 1.69e-14 1.98e-08 -5.7 - 1.00e+00 2 1h 12 0.0000000e+00 7.84e-09 3.64e-12 2.51e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 3.6375421923123477e-12 3.6375421923123477e-12 Constraint violation....: 7.8428195093849247e-09 7.8428195093849247e-09 Complementarity.........: 2.5059035596801552e-09 2.5059035596801552e-09 Overall NLP error.......: 7.8428195093849247e-09 7.8428195093849247e-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 = 24 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.010 s Total wall secs in NLP function evaluations = 0.001 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.017 s Total wall secs = 0.043 s EXIT: Optimal Solution Found (tol = 1.0e-08).