This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 14 Number of nonzeros in Lagrangian Hessian.............: 12 Total number of variables............................: 4 variables with only lower bounds: 0 variables with lower and upper bounds: 4 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 5 inequality constraints with only lower bounds: 2 inequality constraints with lower and upper bounds: 3 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 4.9999950e-02 8.26e+01 3.00e+00 1.20e+03 -1.0 - 0.00e+00 0 0 1 5.0041317e-02 8.26e+01 2.79e+00 2.66e+02 -1.0 - 1.03e-08 2 2h 2 3.5257565e+02 7.53e+01 3.19e+02 1.25e+02 -1.0 - 8.80e-02 2 1h 3 3.5275768e+02 7.53e+01 1.44e-02 3.97e-03 -1.0 - 4.97e-05 4 1h 4 4.8519767e+03 5.98e+00 1.06e-01 1.23e-03 -1.0 -4.0 1.00e+00 1 1h 5 5.0480270e+03 1.67e+00 2.11e-02 2.38e-04 -1.0 -4.5 7.35e-01 1 1h 6 5.0493013e+03 1.64e+00 2.01e-02 6.20e-05 -1.0 -5.0 1.82e-02 1 1h 7 5.1738695e+03 1.31e-02 6.52e-04 1.76e-06 -1.0 - 1.00e+00 8 1h 8 5.1743492e+03 6.82e-04 4.29e-03 1.23e-06 -3.8 - 9.48e-01 10 1h 9 5.1744128e+03 2.34e-09 1.02e-08 2.74e-07 -3.8 - 1.00e+00 2 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 5.1744127e+03 1.88e-13 5.24e-07 3.90e-08 -8.6 - 1.00e+00 2 1f 11 5.1744127e+03 1.49e-14 2.33e-07 1.02e-08 -8.6 - 1.00e+00 1 1h 12 5.1744127e+03 1.86e-14 4.57e-13 1.61e-09 -8.6 - 1.00e+00 2 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.1744126674383097e+03 5.1744126674383097e+03 Dual infeasibility......: 4.5670033684459604e-13 4.5670033684459604e-13 Constraint violation....: 1.8599985395024396e-14 1.8599985395024396e-14 Complementarity.........: 1.6101285999831922e-09 1.6101285999831922e-09 Overall NLP error.......: 1.6101285999831922e-09 1.6101285999831922e-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 = 15 Number of KKT backsolves = 66 Total wall secs in initialization = 0.015 s Total wall secs in linear solver = 0.028 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.019 s Total wall secs = 0.064 s EXIT: Optimal Solution Found (tol = 1.0e-08).