This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 0 Number of nonzeros in Lagrangian Hessian.............: 10 Total number of variables............................: 3 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...............: 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 2.4999998e+03 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 4.9572312e+02 0.00e+00 2.23e+01 0.00e+00 -1.0 2.0 1.00e+00 1 1f 2 1.7768051e+02 0.00e+00 1.57e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 3 5.8624119e+01 0.00e+00 8.97e+00 0.00e+00 -1.0 1.5 1.00e+00 1 1f 4 1.6066234e+01 0.00e+00 4.53e+00 0.00e+00 -1.0 - 5.00e-01 1 2f 5 2.3154904e+00 0.00e+00 9.13e-01 0.00e+00 -1.0 - 1.00e+00 1 1f 6 1.3838886e+00 0.00e+00 9.52e-01 0.00e+00 -1.7 - 2.50e-01 1 3f 7 5.0875861e-01 0.00e+00 1.77e-01 0.00e+00 -1.7 - 1.00e+00 1 1f 8 2.6254197e-01 0.00e+00 5.23e-01 0.00e+00 -2.5 - 1.00e+00 1 1f 9 2.0480137e-02 0.00e+00 5.93e-02 0.00e+00 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.4366475e-03 0.00e+00 4.68e-02 0.00e+00 -2.5 - 1.00e+00 1 1f 11 5.9764905e-07 0.00e+00 2.78e-04 0.00e+00 -2.5 - 1.00e+00 1 1f 12 1.4612763e-12 0.00e+00 1.51e-06 0.00e+00 -5.7 - 1.00e+00 1 1f 13 6.0576991e-25 0.00e+00 2.36e-13 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 13 (scaled) (unscaled) Objective...............: 3.8061649236892860e-26 6.0576991295212082e-25 Dual infeasibility......: 2.3628941895539132e-13 3.7606625992804592e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 1.4846503252102199e-14 2.3628941895539132e-13 Number of objective function evaluations = 25 Number of objective gradient evaluations = 14 Number of constraint evaluations = 25 Number of constraint Jacobian evaluations = 14 Number of Lagrangian Hessian evaluations = 13 Number of KKT factorizations = 18 Number of KKT backsolves = 21 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.006 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.006 s Total wall secs = 0.028 s EXIT: Optimal Solution Found (tol = 1.0e-08).