This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 41205 Number of nonzeros in Lagrangian Hessian.............: 1206 Total number of variables............................: 202 variables with only lower bounds: 0 variables with lower and upper bounds: 202 variables with only upper bounds: 0 Total number of equality constraints.................: 202 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 9.9000001e-01 7.05e+00 6.33e-15 1.99e+00 -1.0 - 0.00e+00 1 0 1 9.9990001e-01 7.02e+00 2.05e+01 1.74e+00 -1.0 - 4.92e-03 1 1h 2 9.9999901e-01 6.88e+00 4.76e+02 2.85e+00 -1.0 - 1.94e-02 1 1h 3 1.0000000e+00 6.37e+00 2.65e+04 2.33e+00 -1.0 - 7.53e-02 1 1h 4 1.0000000e+00 1.96e+00 2.10e+04 2.80e-03 -1.0 - 8.22e-01 2 1h 5 1.0000000e+00 3.37e-01 4.25e+03 7.25e-03 -1.0 - 1.00e+00 2 1h 6 1.0000000e+00 2.12e-02 2.15e+02 8.17e-04 -1.0 - 1.00e+00 2 1h 7 1.0000000e+00 1.10e-04 3.13e-01 4.09e-04 -1.0 - 1.00e+00 2 1h 8 1.0000000e+00 3.03e-09 3.50e+00 3.97e-04 -1.7 - 1.00e+00 1 1h 9 1.0000000e+00 1.08e-11 2.40e-06 4.05e-04 -1.7 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.0000000e+00 2.71e-13 2.56e-05 4.62e-05 -5.7 - 1.00e+00 1 1H 11 1.0000000e+00 1.11e-16 1.58e-10 1.84e-06 -5.7 - 1.00e+00 1 1h 12 1.0000000e+00 6.94e-18 1.53e-13 2.51e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 1.0000000000000000e+00 1.0000000000000000e+00 Dual infeasibility......: 1.5294244251970692e-13 1.5294244251970692e-13 Constraint violation....: 6.9388939039072284e-18 6.9388939039072284e-18 Complementarity.........: 2.5059035596804654e-09 2.5059035596804654e-09 Overall NLP error.......: 2.5059035596804654e-09 2.5059035596804654e-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 = 13 Number of KKT backsolves = 18 Total wall secs in initialization = 0.013 s Total wall secs in linear solver = 0.065 s Total wall secs in NLP function evaluations = 0.004 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.031 s Total wall secs = 0.113 s EXIT: Optimal Solution Found (tol = 1.0e-08).