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.............: 54 Total number of variables............................: 3 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...............: 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 1.9915853e+04 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.7964018e+04 0.00e+00 1.13e+02 0.00e+00 -1.0 4.0 1.00e+00 1 1f 2 4.1540570e+03 0.00e+00 1.67e+02 0.00e+00 -1.0 3.5 1.00e+00 1 1f 3 3.9943298e+03 0.00e+00 1.96e+02 0.00e+00 -1.0 3.0 1.00e+00 1 1f 4 1.1383528e+03 0.00e+00 1.90e+02 0.00e+00 -1.0 - 5.00e-01 1 2f 5 2.4322648e+02 0.00e+00 7.44e-01 0.00e+00 -1.0 2.6 1.00e+00 1 1f 6 2.4301538e+02 0.00e+00 1.21e-01 0.00e+00 -1.7 2.1 1.00e+00 1 1f 7 2.4244387e+02 0.00e+00 1.19e-01 0.00e+00 -2.5 1.6 1.00e+00 1 1f 8 2.4088593e+02 0.00e+00 1.12e-01 0.00e+00 -2.5 1.1 1.00e+00 1 1f 9 2.3733398e+02 0.00e+00 9.49e-02 0.00e+00 -2.5 0.7 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 2.3219434e+02 0.00e+00 5.99e-02 0.00e+00 -2.5 0.2 1.00e+00 1 1f 11 2.2928211e+02 0.00e+00 3.22e-02 0.00e+00 -2.5 -0.3 1.00e+00 1 1f 12 2.2889896e+02 0.00e+00 6.33e-03 0.00e+00 -2.5 -0.8 1.00e+00 1 1f 13 2.2887244e+02 0.00e+00 8.01e-04 0.00e+00 -3.8 -1.2 1.00e+00 1 1f 14 2.2881626e+02 0.00e+00 8.02e-04 0.00e+00 -5.7 -1.7 1.00e+00 1 1f 15 2.2864722e+02 0.00e+00 8.03e-04 0.00e+00 -5.7 -2.2 1.00e+00 1 1f 16 2.2813493e+02 0.00e+00 4.53e-03 0.00e+00 -5.7 -2.7 1.00e+00 1 1f 17 2.2654977e+02 0.00e+00 4.25e-02 0.00e+00 -5.7 -3.2 1.00e+00 1 1f 18 2.2131046e+02 0.00e+00 4.34e-01 0.00e+00 -5.7 -3.6 1.00e+00 1 1f 19 2.0027599e+02 0.00e+00 5.86e+00 0.00e+00 -5.7 -4.1 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 1.6822594e+02 0.00e+00 2.18e+01 0.00e+00 -5.7 -4.6 5.00e-01 1 2f 21 1.1361809e+02 0.00e+00 1.56e+01 0.00e+00 -5.7 - 1.00e+00 1 1f 22 6.6819374e+01 0.00e+00 1.40e+01 0.00e+00 -5.7 - 1.00e+00 1 1f 23 2.7703814e+01 0.00e+00 4.71e+00 0.00e+00 -5.7 - 1.00e+00 1 1f 24 1.2912289e+01 0.00e+00 3.80e+00 0.00e+00 -5.7 - 1.00e+00 1 1f 25 8.2296864e+00 0.00e+00 3.07e-01 0.00e+00 -5.7 - 1.00e+00 1 1f 26 8.0571362e+00 0.00e+00 4.03e-02 0.00e+00 -5.7 - 1.00e+00 1 1f 27 8.0565229e+00 0.00e+00 3.08e-05 0.00e+00 -5.7 - 1.00e+00 1 1f 28 8.0565229e+00 0.00e+00 4.99e-10 0.00e+00 -5.7 - 1.00e+00 1 1f Number of Iterations....: 28 (scaled) (unscaled) Objective...............: 4.9002224815657327e-03 8.0565229338112871e+00 Dual infeasibility......: 4.9876131827099372e-10 8.2002031831507349e-07 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 3.0336181561276659e-13 4.9876131827099372e-10 Number of objective function evaluations = 39 Number of objective gradient evaluations = 29 Number of constraint evaluations = 39 Number of constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 51 Number of KKT backsolves = 36 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.012 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.012 s Total wall secs = 0.039 s EXIT: Optimal Solution Found (tol = 1.0e-08).