This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 924 Number of nonzeros in Lagrangian Hessian.............: 2121 Total number of variables............................: 38 variables with only lower bounds: 0 variables with lower and upper bounds: 24 variables with only upper bounds: 0 Total number of equality constraints.................: 28 Total number of inequality constraints...............: 40 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 40 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 8.2920320e+03 2.01e-01 6.11e+00 9.80e+03 -1.0 - 0.00e+00 1 0 1 8.1549986e+03 3.71e-02 1.56e+01 7.64e+03 -1.0 -4.0 8.84e-01 1 1h 2 8.0727713e+03 3.28e-02 7.71e-01 7.64e+01 -1.0 - 9.66e-01 1 1h 3 8.0959289e+03 9.64e-04 1.90e-02 7.64e-01 -1.0 - 1.00e+00 1 1h 4 8.0879792e+03 5.12e-04 1.90e-02 3.95e-02 -1.7 - 1.00e+00 1 1h 5 8.0848590e+03 4.31e-04 1.64e+00 1.78e-02 -2.5 - 5.75e-01 1 1h 6 8.0817656e+03 8.33e-04 1.32e-01 5.53e-03 -2.5 - 9.64e-01 1 1h 7 8.0821415e+03 3.35e-05 6.84e-04 3.55e-03 -2.5 - 1.00e+00 1 1h 8 8.0815700e+03 3.73e-05 2.11e-03 6.18e-04 -3.8 - 9.39e-01 1 1h 9 8.0815572e+03 3.67e-07 1.14e-05 1.68e-04 -3.8 -4.5 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 8.0815266e+03 1.02e-07 7.07e-05 3.10e-06 -5.7 - 9.98e-01 1 1h 11 8.0815267e+03 2.09e-11 4.40e-10 1.85e-06 -5.7 -5.0 1.00e+00 2 1f 12 8.0815263e+03 1.09e-11 4.17e-10 2.67e-09 -8.6 -5.4 1.00e+00 1 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 2.0193718937000781e+02 8.0815263145489698e+03 Dual infeasibility......: 4.1713499321360814e-10 1.6693742420065901e-08 Constraint violation....: 1.0913936421275139e-11 1.0913936421275139e-11 Complementarity.........: 6.6696030600817166e-11 2.6691751433107829e-09 Overall NLP error.......: 2.6691751433107829e-09 2.6691751433107829e-09 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of constraint evaluations = 13 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 17 Number of KKT backsolves = 14 Total wall secs in initialization = 0.005 s Total wall secs in linear solver = 0.022 s Total wall secs in NLP function evaluations = 0.006 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.029 s Total wall secs = 0.061 s EXIT: Optimal Solution Found (tol = 1.0e-08).