This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 3 Number of nonzeros in Lagrangian Hessian.............: 3 Total number of variables............................: 2 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...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 2 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 0.0000000e+00 1.17e+01 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 0.0000000e+00 1.17e+01 9.48e-11 1.00e-06 -1.0 - 1.00e-07 1 2h 2 0.0000000e+00 1.64e+01 2.02e-16 1.00e-06 -1.0 - 1.00e+00 2 1h 3 0.0000000e+00 8.97e+00 3.29e-17 1.00e-06 -1.0 - 1.00e+00 2 1h 4 0.0000000e+00 8.89e+00 8.56e-17 1.00e-06 -1.0 - 6.25e-02 2 5h 5 0.0000000e+00 8.78e+00 1.92e-16 1.00e-06 -1.0 - 3.12e-02 2 6h 6 0.0000000e+00 8.78e+00 1.11e-13 1.00e-06 -1.0 - 3.91e-03 2 9h 7 0.0000000e+00 8.77e+00 2.78e-13 1.00e-06 -1.0 - 3.91e-03 2 9h 8 0.0000000e+00 8.77e+00 1.34e-12 1.00e-06 -1.0 - 1.95e-03 2 10h 9 0.0000000e+00 8.77e+00 1.37e-11 1.00e-06 -1.0 - 4.88e-04 2 12h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 0.0000000e+00 8.77e+00 1.17e-10 1.00e-06 -1.0 - 1.22e-04 2 14h 11r 0.0000000e+00 8.88e-16 1.50e+02 8.77e-01 0.9 - 1.00e+00 2 22R 12 0.0000000e+00 7.81e+00 1.70e-04 1.00e-06 -1.0 - 8.69e-03 1 1f 13 0.0000000e+00 7.81e+00 1.79e-12 1.00e-06 -1.0 - 1.95e-03 2 10h 14 0.0000000e+00 7.81e+00 2.87e-19 1.00e-06 -1.0 - 9.77e-04 2 11h 15 0.0000000e+00 7.81e+00 3.15e-19 1.00e-06 -1.0 - 2.44e-04 2 13h 16 0.0000000e+00 7.81e+00 1.29e-18 1.00e-06 -1.0 - 1.22e-04 2 14h 17r 0.0000000e+00 0.00e+00 1.50e+02 7.81e-01 0.9 - 1.00e+00 2 22R 18r 0.0000000e+00 1.23e-04 1.26e-03 1.27e-04 0.9 - 1.48e-04 1 2f 19r 0.0000000e+00 8.14e+01 7.55e-03 1.10e-05 -4.3 - 2.50e-01 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20r 0.0000000e+00 8.03e+01 1.30e+02 4.48e-02 -4.3 - 1.49e-02 1 1h 21r 0.0000000e+00 5.40e+01 1.84e+02 4.81e-02 -4.3 - 3.70e-01 1 1h 22r 0.0000000e+00 3.00e+01 1.11e+02 2.18e-02 -4.3 - 5.43e-01 1 1h 23r 0.0000000e+00 3.00e+01 1.11e+02 2.20e-02 -4.3 - 4.01e-05 1 1h 24r 0.0000000e+00 2.17e+01 4.12e+02 2.11e-03 -4.3 - 8.80e-01 1 1h 25r 0.0000000e+00 1.54e+01 2.79e+02 1.41e-06 -4.3 - 6.80e-01 1 1h 26r 0.0000000e+00 1.29e+01 1.46e+02 1.19e-06 -4.3 - 5.00e-01 1 2h 27r 0.0000000e+00 1.15e+01 8.79e+01 2.40e-06 -4.3 - 2.34e-01 1 1h 28r 0.0000000e+00 7.06e-03 1.59e+01 5.02e-04 -4.3 - 1.00e+00 1 1h 29r 0.0000000e+00 5.15e-02 5.39e-01 8.42e-06 -4.3 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 30r 0.0000000e+00 2.26e-05 2.32e-03 9.91e-07 -4.3 - 1.00e+00 1 1h 31r 0.0000000e+00 4.22e-10 4.33e-08 9.91e-07 -4.3 - 1.00e+00 1 1h 32r 0.0000000e+00 2.04e-15 1.31e-03 1.62e-06 -9.0 - 1.00e+00 1 1f 33r 0.0000000e+00 4.08e-12 2.41e-09 3.06e-10 -9.0 - 1.00e+00 1 1f Number of Iterations....: 33 (scaled) (unscaled) Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00 Dual infeasibility......: 5.5076512064623758e-06 5.5076512064623758e-06 Constraint violation....: 1.1312804625988273e+01 1.1312804625988273e+01 Complementarity.........: 3.0593274592006439e-10 3.0593274592006439e-10 Overall NLP error.......: 1.1312804625988273e+01 1.1312804625988273e+01 Number of objective function evaluations = 192 Number of objective gradient evaluations = 34 Number of constraint evaluations = 194 Number of constraint Jacobian evaluations = 36 Number of Lagrangian Hessian evaluations = 33 Number of KKT factorizations = 34 Number of KKT backsolves = 75 Total wall secs in initialization = 0.015 s Total wall secs in linear solver = 0.042 s Total wall secs in NLP function evaluations = 0.011 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.125 s Total wall secs = 0.193 s EXIT: Converged to a point of local infeasibility. Problem may be infeasible.