This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 5 Number of nonzeros in Lagrangian Hessian.............: 5 Total number of variables............................: 5 variables with only lower bounds: 5 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 1 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 1 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 3.1200000e-01 6.78e+01 1.00e+00 1.00e+00 -1.0 - 0.00e+00 0 0 1 3.7576556e-01 3.02e+01 2.63e-01 3.18e-01 -1.0 - 1.00e+00 1 1h 2 4.8173295e-01 1.31e+01 4.08e-02 1.33e-01 -1.0 - 1.00e+00 1 1h 3 7.9708026e-01 1.63e+01 2.55e-02 3.18e-01 -1.0 - 1.00e+00 1 1h 4 7.9149877e-01 2.46e+00 2.03e-03 1.01e-01 -1.0 - 8.50e-01 1 1h 5 1.2025178e+00 2.77e+00 3.30e-02 3.45e-01 -1.0 - 1.00e+00 1 1h 6 1.0594714e+00 6.35e-01 1.33e-02 1.00e-01 -1.0 - 8.09e-01 1 1h 7 1.2234884e+00 2.46e-01 3.21e-02 3.41e-02 -1.7 - 1.00e+00 1 1h 8 1.3199539e+00 3.32e-02 4.10e-03 2.11e-02 -1.7 - 1.00e+00 1 1h 9 1.3413268e+00 9.71e-04 6.92e-04 2.72e-03 -2.5 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.3400740e+00 5.97e-06 2.22e-05 1.59e-04 -3.8 - 1.00e+00 1 1h 11 1.3399582e+00 2.89e-08 2.36e-08 1.87e-06 -5.7 - 1.00e+00 1 1h 12 1.3399564e+00 7.23e-12 6.82e-12 2.51e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 1.3399563586299661e+00 1.3399563586299661e+00 Dual infeasibility......: 6.8218139470666017e-12 6.8218139470666017e-12 Constraint violation....: 7.2281322633327587e-12 7.2281322633327587e-12 Complementarity.........: 2.5115642974032200e-09 2.5115642974032200e-09 Overall NLP error.......: 2.5115642974032200e-09 2.5115642974032200e-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 = 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.) = 0.018 s Total wall secs = 0.040 s EXIT: Optimal Solution Found (tol = 1.0e-08).