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.............: 594 Total number of variables............................: 3 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 1.2110706e+01 0.00e+00 3.97e+01 0.00e+00 -1.0 - 0.00e+00 0 0 1 6.6089741e+00 0.00e+00 3.96e+00 0.00e+00 -1.0 0.0 2.50e-01 1 3f 2 6.4495982e+00 0.00e+00 6.81e-01 0.00e+00 -1.0 -0.5 1.00e+00 1 1f 3 6.2003796e+00 0.00e+00 1.75e+00 0.00e+00 -1.7 -1.0 1.00e+00 1 1f 4 5.6770397e+00 0.00e+00 3.29e+00 0.00e+00 -1.7 -1.4 1.00e+00 1 1f 5 2.7004497e+00 0.00e+00 1.30e+01 0.00e+00 -1.7 -1.9 5.00e-01 1 2f 6 7.4133231e-01 0.00e+00 1.15e+01 0.00e+00 -1.7 -1.5 5.00e-01 1 2f 7 1.0197156e-01 0.00e+00 8.69e-01 0.00e+00 -1.7 -1.1 1.00e+00 1 1f 8 6.6604990e-02 0.00e+00 2.73e+00 0.00e+00 -1.7 - 1.00e+00 1 1f 9 1.9645645e-02 0.00e+00 5.87e-03 0.00e+00 -1.7 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.5014176e-02 0.00e+00 9.95e-01 0.00e+00 -3.8 - 1.00e+00 1 1f 11 7.6544334e-03 0.00e+00 5.87e-02 0.00e+00 -3.8 - 1.00e+00 1 1f 12 5.1039714e-03 0.00e+00 3.47e-01 0.00e+00 -3.8 - 5.00e-01 1 2f 13 2.9298292e-03 0.00e+00 1.43e-01 0.00e+00 -3.8 - 1.00e+00 1 1f 14 2.1970275e-03 0.00e+00 4.69e-01 0.00e+00 -3.8 - 1.00e+00 1 1f 15 6.3528853e-04 0.00e+00 2.16e-02 0.00e+00 -3.8 - 1.00e+00 1 1f 16 4.2146278e-04 0.00e+00 2.45e-01 0.00e+00 -3.8 - 1.00e+00 1 1f 17 5.2583794e-05 0.00e+00 6.01e-03 0.00e+00 -3.8 - 1.00e+00 1 1f 18 1.0418069e-05 0.00e+00 4.08e-02 0.00e+00 -3.8 - 1.00e+00 1 1f 19 1.6604465e-07 0.00e+00 6.78e-04 0.00e+00 -3.8 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 2.1322006e-10 0.00e+00 1.80e-04 0.00e+00 -5.7 - 1.00e+00 1 1f 21 2.1362283e-16 0.00e+00 4.27e-08 0.00e+00 -5.7 - 1.00e+00 1 1f 22 4.3833417e-28 0.00e+00 2.41e-13 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 22 (scaled) (unscaled) Objective...............: 4.3833417129914161e-28 4.3833417129914161e-28 Dual infeasibility......: 2.4083159363896863e-13 2.4083159363896863e-13 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 2.4083159363896863e-13 2.4083159363896863e-13 Number of objective function evaluations = 44 Number of objective gradient evaluations = 23 Number of constraint evaluations = 44 Number of constraint Jacobian evaluations = 23 Number of Lagrangian Hessian evaluations = 22 Number of KKT factorizations = 33 Number of KKT backsolves = 38 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.013 s Total wall secs in NLP function evaluations = 0.004 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.011 s Total wall secs = 0.041 s EXIT: Optimal Solution Found (tol = 1.0e-08).