This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 27500 Number of nonzeros in Lagrangian Hessian.............: 50000 Total number of variables............................: 5005 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...............: 2500 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 2500 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 7.58e+00 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 3.4059063e-13 7.58e+00 5.96e-05 1.00e-06 -1.0 - 1.00e-07 2 2h 2 3.0751891e+01 1.43e+00 1.41e-03 1.00e-06 -1.0 -4.0 1.00e+00 3 1h 3 1.7055074e+02 2.11e+00 5.05e-03 1.00e-06 -1.0 -4.5 1.00e+00 2 1h 4 1.0283013e+02 3.97e-01 9.86e-04 1.00e-06 -1.0 0.5 1.00e+00 2 1h 5 9.6590841e+01 2.71e-02 2.65e-04 1.00e-06 -1.7 -0.0 1.00e+00 1 1h 6 9.5879056e+01 5.92e-02 2.03e-02 1.00e-06 -3.8 -0.5 1.00e+00 1 1h 7 9.4884532e+01 3.87e-03 2.10e-03 1.00e-06 -3.8 -0.1 1.00e+00 3 1h 8 9.4879442e+01 1.42e-02 5.11e-04 1.00e-06 -3.8 -0.5 1.00e+00 3 1h 9 9.4831692e+01 5.52e-03 3.04e-04 1.00e-06 -3.8 -1.0 1.00e+00 3 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 9.4815056e+01 1.35e-04 9.99e-06 1.00e-06 -3.8 - 1.00e+00 8 1h 11 9.4814651e+01 1.99e-06 2.45e-06 1.00e-06 -5.7 - 1.00e+00 4 1h 12 9.4814650e+01 2.09e-10 5.20e-09 9.03e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 9.4814649610730541e+01 9.4814649610730541e+01 Dual infeasibility......: 5.2049853316304961e-09 5.2049853316304961e-09 Constraint violation....: 2.0872661471465705e-10 2.0872661471465705e-10 Complementarity.........: 9.0286803739786499e-09 9.0286803739786499e-09 Overall NLP error.......: 9.0286803739786499e-09 9.0286803739786499e-09 Number of objective function evaluations = 14 Number of objective gradient evaluations = 13 Number of constraint evaluations = 14 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 27 Number of KKT backsolves = 34 Total wall secs in initialization = 0.028 s Total wall secs in linear solver = 0.018 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.067 s Total wall secs = 0.117 s EXIT: Optimal Solution Found (tol = 1.0e-08).