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.............: 3 Total number of variables............................: 2 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 1.0008100e+00 0.00e+00 1.80e-04 1.00e+00 -1.0 - 0.00e+00 0 0 1 1.9999790e-02 0.00e+00 2.00e-07 2.00e-02 -1.7 - 1.00e+00 1 1f 2 1.5041806e-04 0.00e+00 1.50e-09 1.50e-04 -3.8 - 1.00e+00 1 1f 3 1.8349147e-06 0.00e+00 1.84e-11 1.84e-06 -5.7 - 1.00e+00 1 1f 4 -7.4940964e-09 0.00e+00 2.51e-14 2.51e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 4 (scaled) (unscaled) Objective...............: -7.4940964063753904e-09 -7.4940964063753904e-09 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059035936246726e-09 2.5059035936246726e-09 Overall NLP error.......: 2.5059035936246726e-09 2.5059035936246726e-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 = 4 Number of KKT backsolves = 4 Total wall secs in initialization = 0.013 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 = 0.019 s EXIT: Optimal Solution Found (tol = 1.0e-08).