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.............: 2998 Total number of variables............................: 1000 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 -8.4062951e+02 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 -9.9646535e+02 0.00e+00 1.30e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 2 -9.9894736e+02 0.00e+00 4.94e-02 0.00e+00 -1.0 0.0 1.00e+00 1 1f 3 -9.9894739e+02 0.00e+00 8.88e-05 0.00e+00 -2.5 -0.5 1.00e+00 1 1f 4 -9.9894739e+02 0.00e+00 1.36e-14 0.00e+00 -5.7 - 1.00e+00 1 1f Number of Iterations....: 4 (scaled) (unscaled) Objective...............: -1.8507182549127364e+02 -9.9894739330096957e+02 Dual infeasibility......: 1.3621976731230645e-14 7.3526254529276969e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 2.5237005645691205e-15 1.3621976731230645e-14 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 = 8 Number of KKT backsolves = 4 Total wall secs in initialization = 0.020 s Total wall secs in linear solver = 0.002 s Total wall secs in NLP function evaluations = 0.001 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.004 s Total wall secs = 0.027 s EXIT: Optimal Solution Found (tol = 1.0e-08).