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.............: 103020 Total number of variables............................: 5002 variables with only lower bounds: 5002 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 2.5821882e+00 0.00e+00 1.02e+00 1.00e+00 -1.0 - 0.00e+00 0 0 1 2.8873550e+00 0.00e+00 7.14e-06 9.67e-06 -1.0 - 1.00e+00 1 1f 2 2.7201452e+00 0.00e+00 3.10e-05 9.71e-06 -8.6 - 1.00e+00 1 1f 3 2.6109171e+00 0.00e+00 3.31e-04 1.26e-05 -8.6 - 1.00e+00 1 1f 4 2.5343267e+00 0.00e+00 7.26e-03 4.37e-05 -8.6 - 7.93e-01 1 1f 5 2.5142643e+00 0.00e+00 3.78e-03 1.96e-05 -8.6 - 7.15e-01 1 1f 6 2.5095210e+00 0.00e+00 2.65e-03 5.12e-06 -8.6 - 6.42e-01 1 1f 7 2.5078489e+00 0.00e+00 1.36e-03 1.67e-06 -8.6 - 6.60e-01 1 1f 8 2.5072647e+00 0.00e+00 7.17e-04 5.77e-07 -8.6 - 6.95e-01 1 1f 9 2.5070093e+00 0.00e+00 4.42e-05 1.49e-07 -8.6 - 9.62e-01 2 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 2.5069647e+00 0.00e+00 8.69e-07 3.86e-08 -8.6 - 1.00e+00 1 1f 11 2.5069543e+00 0.00e+00 9.41e-08 1.09e-08 -8.6 - 1.00e+00 1 1f 12 2.5069518e+00 0.00e+00 9.56e-09 4.13e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 2.5069517602385858e+00 2.5069517602385858e+00 Dual infeasibility......: 9.5591948037765384e-09 9.5591948037765384e-09 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 4.1264270998508789e-09 4.1264270998508789e-09 Overall NLP error.......: 9.5591948037765384e-09 9.5591948037765384e-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 = 12 Number of KKT backsolves = 13 Total wall secs in initialization = 0.041 s Total wall secs in linear solver = 0.022 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.017 s Total wall secs = 0.084 s EXIT: Optimal Solution Found (tol = 1.0e-08).