This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 0 Number of nonzeros in Lagrangian Hessian.............: 6 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 0 inequality constraints with only lower bounds: 0 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 6.0377484e+01 0.00e+00 6.11e+01 1.80e+01 -1.0 - 0.00e+00 0 0 1 2.7278781e+01 0.00e+00 3.48e+01 8.78e-01 -1.0 2.0 1.00e+00 1 1f 2 2.6297497e+01 0.00e+00 9.61e+00 2.06e-01 -1.0 - 1.00e+00 1 1f 3 2.3538553e+01 0.00e+00 8.99e+00 1.02e-01 -1.0 1.5 1.00e+00 1 1f 4 2.2238268e+01 0.00e+00 1.06e+01 1.00e-01 -1.0 1.9 1.00e+00 1 1f 5 1.4466565e+01 0.00e+00 1.30e+01 1.00e-01 -1.0 1.5 1.00e+00 1 1f 6 9.3713558e+00 0.00e+00 7.33e+00 1.08e-01 -1.0 - 5.00e-01 1 2f 7 7.8432809e+00 0.00e+00 1.64e+00 1.00e-01 -1.0 - 1.00e+00 1 1f 8 7.7739623e+00 0.00e+00 1.18e-02 1.00e-01 -1.0 - 1.00e+00 1 1f 9 7.7738113e+00 0.00e+00 6.94e-05 3.17e-03 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 7.7738111e+00 0.00e+00 8.92e-08 1.51e-04 -3.8 - 1.00e+00 1 1f 11 7.7738111e+00 0.00e+00 2.23e-10 1.85e-06 -5.7 - 1.00e+00 1 1f 12 7.7738111e+00 0.00e+00 3.71e-14 2.51e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 7.7738110793711943e+00 7.7738110793711943e+00 Dual infeasibility......: 3.7066273527257661e-14 3.7066273527257661e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5060480908509137e-09 2.5060480908509137e-09 Overall NLP error.......: 2.5060480908509137e-09 2.5060480908509137e-09 Number of objective function evaluations = 18 Number of objective gradient evaluations = 13 Number of constraint evaluations = 18 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 20 Number of KKT backsolves = 16 Total wall secs in initialization = 0.018 s Total wall secs in linear solver = 0.009 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.019 s Total wall secs = 0.049 s EXIT: Optimal Solution Found (tol = 1.0e-08).