This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 2001 Number of nonzeros in Lagrangian Hessian.............: 1604 Total number of variables............................: 800 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...............: 401 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 401 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 4.7421877e+00 1.19e+00 1.52e-02 3.00e-08 -1.0 - 0.00e+00 0 0 1 4.7421877e+00 1.19e+00 4.14e-05 1.00e-06 -1.0 - 1.00e-07 1 2h 2 5.0778393e+00 1.07e-01 2.95e-08 1.00e-06 -1.0 -4.0 1.00e+00 2 1h 3 5.0807296e+00 1.38e-03 2.52e-07 1.00e-06 -2.5 -2.7 1.00e+00 1 1h 4 5.0715735e+00 2.18e-02 1.94e-04 1.03e-06 -5.7 - 1.00e+00 10 1h 5 5.0674745e+00 6.61e-02 6.35e-04 1.00e-06 -5.7 - 1.00e+00 3 1h 6 5.0686594e+00 1.70e-02 2.29e-04 1.00e-06 -5.7 - 1.00e+00 3 1h 7 5.0685863e+00 4.87e-03 6.24e-05 1.00e-06 -5.7 - 1.00e+00 3 1h 8 5.0686199e+00 1.99e-04 2.41e-06 1.00e-06 -5.7 - 1.00e+00 3 1h 9 5.0686217e+00 9.93e-08 1.51e-09 1.00e-06 -5.7 - 1.00e+00 3 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 5.0686217e+00 2.93e-13 1.50e-08 8.57e-08 -8.6 - 1.00e+00 1 1h 11 5.0686212e+00 1.48e-12 1.15e-06 1.91e-08 -8.6 - 1.00e+00 1 1h 12 5.0686202e+00 1.31e-11 2.87e-12 4.89e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.0686202197307946e+00 5.0686202197307946e+00 Dual infeasibility......: 2.8705093857439579e-12 2.8705093857439579e-12 Constraint violation....: 1.3052171568553252e-11 1.3052171568553252e-11 Complementarity.........: 4.8943467817301441e-09 4.8943467817301441e-09 Overall NLP error.......: 4.8943467817301441e-09 4.8943467817301441e-09 Number of objective function evaluations = 14 Number of objective gradient evaluations = 13 Number of constraint evaluations = 14 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 16 Number of KKT backsolves = 32 Total wall secs in initialization = 0.028 s Total wall secs in linear solver = 0.061 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.018 s Total wall secs = 0.110 s EXIT: Optimal Solution Found (tol = 1.0e-08).