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.............: 38 Total number of variables............................: 10 variables with only lower bounds: 0 variables with lower and upper bounds: 10 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 1.6399114e+02 0.00e+00 5.65e+00 1.80e+01 -1.0 - 0.00e+00 0 0 1 1.6370178e+02 0.00e+00 2.95e-01 2.80e-01 -1.0 - 1.00e+00 1 1f 2 1.6370092e+02 0.00e+00 3.63e-03 2.01e-02 -1.7 - 1.00e+00 1 1f 3 1.6370092e+02 0.00e+00 9.26e-07 1.51e-04 -3.8 - 1.00e+00 1 1f 4 1.6370092e+02 0.00e+00 1.59e-10 1.85e-06 -5.7 - 1.00e+00 1 1f 5 1.6370092e+02 0.00e+00 4.09e-07 2.51e-09 -8.6 - 5.00e-01 1 2f 6 1.6370092e+02 0.00e+00 2.05e-07 2.51e-09 -8.6 - 5.00e-01 1 2f 7 1.6370092e+02 0.00e+00 1.53e-07 2.51e-09 -8.6 - 2.50e-01 1 3f 8 1.6370092e+02 0.00e+00 1.15e-07 2.51e-09 -8.6 - 2.50e-01 1 3f 9 1.6370092e+02 0.00e+00 5.75e-08 2.51e-09 -8.6 - 5.00e-01 1 2f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.6370092e+02 0.00e+00 2.88e-08 2.51e-09 -8.6 - 5.00e-01 1 2f 11 1.6370092e+02 0.00e+00 2.16e-08 2.51e-09 -8.6 - 2.50e-01 1 3f 12 1.6370092e+02 0.00e+00 1.11e-08 9.09e-10 -9.0 - 5.00e-01 1 2f 13 1.6370092e+02 0.00e+00 9.75e-09 9.09e-10 -9.0 - 1.25e-01 1 4f Number of Iterations....: 13 (scaled) (unscaled) Objective...............: 1.6370092200172056e+02 1.6370092200172056e+02 Dual infeasibility......: 9.7498203131991310e-09 9.7498203131991310e-09 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 9.0909090916847714e-10 9.0909090916847714e-10 Overall NLP error.......: 9.7498203131991310e-09 9.7498203131991310e-09 Number of objective function evaluations = 64 Number of objective gradient evaluations = 14 Number of constraint evaluations = 64 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 13 Number of KKT backsolves = 49 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.020 s Total wall secs in NLP function evaluations = 0.005 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.025 s Total wall secs = 0.063 s EXIT: Optimal Solution Found (tol = 1.0e-08).