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.............: 36 Total number of variables............................: 8 variables with only lower bounds: 1 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 8.8932568e+04 0.00e+00 1.00e+02 1.00e+00 -1.0 - 0.00e+00 0 0 1 3.0971088e+02 0.00e+00 1.01e+00 5.78e-02 -1.0 0.0 1.00e+00 1 1f 2 2.6008925e+02 0.00e+00 8.56e-02 1.07e-01 -1.0 -0.5 1.00e+00 1 1f 3 2.2510776e+02 0.00e+00 2.50e-02 3.14e-04 -2.5 -1.0 1.00e+00 1 1f 4 1.8991670e+02 0.00e+00 1.80e-02 1.09e-04 -3.8 -1.4 1.00e+00 1 1f 5 1.2091376e+02 0.00e+00 1.56e-02 1.45e-04 -3.8 -1.9 1.00e+00 1 1f 6 4.6461328e+01 0.00e+00 9.63e-03 1.17e-04 -3.8 -2.4 1.00e+00 1 1f 7 1.3492937e+01 0.00e+00 3.72e-03 1.50e-04 -3.8 -2.9 1.00e+00 1 1f 8 3.6886717e+00 0.00e+00 9.06e-04 1.50e-04 -3.8 -3.3 1.00e+00 1 1f 9 5.0468338e-02 0.00e+00 7.42e-04 2.85e-10 -5.7 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 4.1522932e-02 0.00e+00 4.62e-04 2.02e-06 -5.7 - 6.25e-02 1 5f 11 1.6725186e-02 0.00e+00 8.98e-05 1.85e-06 -5.7 - 1.00e+00 1 1f 12 1.6253980e-02 0.00e+00 2.08e-06 1.84e-06 -5.7 -3.8 1.00e+00 1 1f 13 1.6093656e-02 0.00e+00 1.63e-06 4.65e-15 -8.6 -4.3 1.00e+00 1 1f 14 1.5729685e-02 0.00e+00 2.08e-06 2.54e-09 -8.6 -4.8 1.00e+00 1 1f 15 1.5076851e-02 0.00e+00 1.15e-05 2.50e-09 -8.6 -5.2 1.00e+00 1 1f 16 1.4095729e-02 0.00e+00 1.24e-04 6.69e-18 -8.6 - 6.25e-02 1 5f 17 1.2227177e-02 0.00e+00 3.96e-05 2.62e-09 -8.6 - 1.00e+00 1 1f 18 1.1055820e-02 0.00e+00 1.07e-04 2.28e-09 -8.6 - 5.00e-01 1 2f 19 9.0644240e-03 0.00e+00 5.06e-05 2.51e-09 -8.6 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 8.5642357e-03 0.00e+00 1.96e-04 2.46e-09 -8.6 - 1.00e+00 1 1f 21 5.1288971e-03 0.00e+00 1.27e-05 2.50e-09 -8.6 - 1.00e+00 1 1f 22 3.8129967e-03 0.00e+00 7.74e-05 1.69e-09 -8.6 - 2.50e-01 1 3f 23 2.2183364e-03 0.00e+00 4.78e-05 2.57e-09 -8.6 - 1.00e+00 1 1f 24 1.1138556e-03 0.00e+00 5.55e-05 2.47e-09 -8.6 - 1.00e+00 1 1f 25 3.9345849e-04 0.00e+00 1.83e-05 2.49e-09 -8.6 - 1.00e+00 1 1f 26 1.2050633e-04 0.00e+00 1.96e-05 2.49e-09 -8.6 - 1.00e+00 1 1f 27 5.4452895e-05 0.00e+00 1.90e-06 2.50e-09 -8.6 - 1.00e+00 1 1f 28 5.0757980e-05 0.00e+00 3.64e-07 2.51e-09 -8.6 - 1.00e+00 1 1f 29 5.0740982e-05 0.00e+00 6.98e-10 2.51e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 3.2732572345777975e-08 5.0740982442631519e-05 Dual infeasibility......: 6.9785339647440028e-10 1.0817899236265083e-06 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.6165365100308365e-12 2.5059029827189090e-09 Overall NLP error.......: 2.5059029827189090e-09 2.5059029827189090e-09 Number of objective function evaluations = 57 Number of objective gradient evaluations = 30 Number of constraint evaluations = 57 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 43 Number of KKT backsolves = 45 Total wall secs in initialization = 0.022 s Total wall secs in linear solver = 0.018 s Total wall secs in NLP function evaluations = 0.010 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.031 s Total wall secs = 0.082 s EXIT: Optimal Solution Found (tol = 1.0e-08).