This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 6 Number of nonzeros in Lagrangian Hessian.............: 3 Total number of variables............................: 2 variables with only lower bounds: 2 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 3 inequality constraints with only lower bounds: 3 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 -1.3364590e-02 0.00e+00 1.08e+00 4.13e+00 -1.0 - 0.00e+00 0 0 1 -1.4291987e-02 2.78e-17 4.96e-02 4.03e-01 -1.0 - 1.00e+00 1 1f 2 -1.0435070e-01 4.44e-16 2.52e-01 1.63e-01 -1.7 - 1.00e+00 1 1f 3 -1.2011844e-01 4.59e-10 6.62e-02 2.35e-02 -1.7 0.0 1.00e+00 1 1f 4 -1.9986733e-01 1.00e-10 8.76e-02 5.70e-03 -2.5 -0.5 9.70e-01 1 1f 5 -5.7692707e-01 7.58e-10 1.52e-01 1.13e-02 -2.5 -1.0 1.00e+00 1 1f 6 -8.1002889e-01 6.89e-10 1.92e-01 2.86e-03 -2.5 -0.5 7.72e-01 1 1f 7 -9.9908309e-01 9.59e-10 1.30e+00 1.15e-03 -2.5 -1.0 1.02e-01 1 1f 8 -9.8855691e-01 4.79e-10 1.37e-01 1.05e-02 -2.5 - 5.00e-01 1 2f 9 -9.9436161e-01 5.68e-14 1.27e-05 2.86e-03 -2.5 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 -9.9971117e-01 9.11e-17 5.53e-06 1.51e-04 -3.8 - 1.00e+00 1 1f 11 -9.9999636e-01 8.88e-16 1.57e-08 1.84e-06 -5.7 - 1.00e+00 1 1f 12 -1.0000000e+00 1.77e-16 2.59e-12 2.51e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: -1.0000000086540053e+00 -1.0000000086540053e+00 Dual infeasibility......: 2.5901503164504902e-12 2.5901503164504902e-12 Constraint violation....: 1.7745128486740779e-16 1.7745128486740779e-16 Complementarity.........: 2.5058908963084991e-09 2.5058908963084991e-09 Overall NLP error.......: 2.5058908963084991e-09 2.5058908963084991e-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 = 20 Number of KKT backsolves = 12 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.006 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.018 s Total wall secs = 0.041 s EXIT: Optimal Solution Found (tol = 1.0e-08).