This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 10003 Number of nonzeros in Lagrangian Hessian.............: 14004 Total number of variables............................: 4002 variables with only lower bounds: 0 variables with lower and upper bounds: 2001 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2002 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 2002 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 -3.6390523e-04 4.00e+00 1.00e-02 1.99e+00 -1.0 - 0.00e+00 0 0 1 -3.6398523e-04 4.00e+00 2.78e-05 1.12e-05 -1.0 - 1.00e-07 1 2h 2 6.8714709e-04 3.92e-05 1.92e-01 9.43e-06 -1.0 -4.0 1.00e+00 1 1h 3 -1.0289066e-02 1.19e-05 7.11e-02 9.12e-06 -2.5 -4.5 1.00e+00 1 1h 4 -1.7039255e-02 5.32e-06 4.99e-02 7.26e-06 -2.5 -5.0 1.00e+00 1 1h 5 -1.4015715e-02 1.86e-06 2.11e-02 3.09e-06 -2.5 -5.4 1.00e+00 1 1h 6 -1.0816887e-02 9.18e-08 1.48e-07 3.79e-06 -3.8 -5.9 1.00e+00 1 1h 7 -1.1284460e-02 2.55e-09 3.78e-01 6.54e-06 -8.6 -6.4 1.00e+00 7 1h 8 -1.2711886e-02 2.46e-11 2.86e-02 9.59e-07 -8.6 -6.9 1.00e+00 10 1h 9 -1.5310758e-02 2.69e-11 1.41e-02 2.05e-07 -8.6 -7.3 1.00e+00 10 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -2.2363528e-02 6.45e-12 2.04e-01 9.39e-08 -8.6 - 7.60e-01 1 1f 11 -2.2528080e-02 9.38e-12 5.95e-08 1.31e-08 -8.6 -7.8 1.00e+00 5 1f 12 -2.2796917e-02 5.78e-14 1.51e-12 2.89e-09 -8.6 - 1.00e+00 5 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: -2.2796916818847990e-02 -2.2796916818847990e-02 Dual infeasibility......: 1.5061166401396021e-12 1.5061166401396021e-12 Constraint violation....: 5.7750635753948521e-14 5.7750635753948521e-14 Complementarity.........: 2.8913320621809616e-09 2.8913320621809616e-09 Overall NLP error.......: 2.8913320621809616e-09 2.8913320621809616e-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 = 21 Number of KKT backsolves = 64 Total wall secs in initialization = 0.423 s Total wall secs in linear solver = 0.749 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.034 s Total wall secs = 1.208 s EXIT: Optimal Solution Found (tol = 1.0e-08).