This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 3 Number of nonzeros in Lagrangian Hessian.............: 10 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 1 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 1.1549921e+02 0.00e+00 2.00e+01 8.96e+00 -1.0 - 0.00e+00 0 0 1 7.5757914e+01 1.78e+01 9.97e+00 1.33e+01 -1.0 - 1.00e+00 1 1f 2 7.0573069e+01 1.79e+01 1.03e+01 1.29e+01 -1.0 0.0 2.09e-02 1 1h 3 4.4963594e+01 1.93e+01 1.25e+01 8.71e+00 -1.0 - 9.16e-02 1 1h 4 1.2974467e-01 5.37e+01 6.28e+00 4.44e+00 -1.0 - 2.04e-01 1 1h 5 1.4216960e-01 1.67e+01 2.44e+00 1.90e-01 -1.0 - 6.89e-01 1 1h 6 2.8124201e+00 2.67e+00 1.99e+00 3.80e-01 -1.0 - 1.00e+00 1 1h 7 9.0460833e-01 1.34e+00 3.63e-01 1.53e-01 -1.0 - 8.82e-01 1 1h 8 1.1156495e+00 1.53e-01 1.12e-02 1.57e-01 -1.0 - 1.00e+00 1 1h 9 9.5248216e-01 2.03e-02 9.87e-04 1.56e-02 -2.5 - 9.93e-01 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 9.5365496e-01 2.08e-04 3.88e-05 5.35e-04 -3.8 - 1.00e+00 1 1h 11 9.5353062e-01 3.25e-07 3.03e-08 2.53e-06 -5.7 - 1.00e+00 1 1h 12 9.5352886e-01 3.85e-12 9.44e-13 2.52e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 9.5352885848351809e-01 9.5352885848351809e-01 Dual infeasibility......: 9.4402263783877061e-13 9.4402263783877061e-13 Constraint violation....: 3.8532893781133282e-12 3.8532893781133282e-12 Complementarity.........: 2.5187699540729049e-09 2.5187699540729049e-09 Overall NLP error.......: 2.5187699540729049e-09 2.5187699540729049e-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 = 15 Number of KKT backsolves = 12 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.006 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.017 s Total wall secs = 0.040 s EXIT: Optimal Solution Found (tol = 1.0e-08).