This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 126 Number of nonzeros in Lagrangian Hessian.............: 234 Total number of variables............................: 27 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...............: 6 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 6 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 0.0000000e+00 9.96e+01 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 2.5172841e-20 9.96e+01 1.35e-08 1.64e-06 -1.0 -2.0 1.11e-07 1 1h 2 2.1973089e-07 3.41e-03 4.10e-08 8.28e-07 -1.0 -2.5 1.00e+00 3 1h 3 5.5553472e-14 2.19e-07 1.87e-09 8.28e-07 -3.8 -3.0 1.00e+00 1 1h 4 7.6207739e-18 6.44e-15 2.65e-09 2.51e-09 -8.6 -1.6 1.00e+00 1 1h Number of Iterations....: 4 (scaled) (unscaled) Objective...............: 7.6207739373606993e-18 7.6207739373606993e-18 Dual infeasibility......: 2.6455899597416318e-09 2.6455899597416318e-09 Constraint violation....: 6.4393259609278767e-15 6.4393259609278767e-15 Complementarity.........: 2.5059035596980004e-09 2.5059035596980004e-09 Overall NLP error.......: 2.6455899597416318e-09 2.6455899597416318e-09 Number of objective function evaluations = 5 Number of objective gradient evaluations = 5 Number of constraint evaluations = 5 Number of constraint Jacobian evaluations = 5 Number of Lagrangian Hessian evaluations = 4 Number of KKT factorizations = 11 Number of KKT backsolves = 6 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.003 s Total wall secs in NLP function evaluations = 0.001 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.007 s Total wall secs = 0.026 s EXIT: Optimal Solution Found (tol = 1.0e-08).