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.............: 240 Total number of variables............................: 4 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 1.0512683e+05 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.0484773e+05 0.00e+00 1.00e+02 0.00e+00 -1.0 4.0 1.00e+00 1 1f 2 1.0401011e+05 0.00e+00 1.00e+02 0.00e+00 -1.0 3.5 1.00e+00 1 1f 3 1.0150642e+05 0.00e+00 9.79e+01 0.00e+00 -1.0 3.0 1.00e+00 1 1f 4 9.4424335e+04 0.00e+00 7.42e+01 0.00e+00 -1.0 2.6 1.00e+00 1 1f 5 7.9688223e+04 0.00e+00 6.77e+01 0.00e+00 -1.0 2.1 1.00e+00 1 1f 6 6.7519529e+04 0.00e+00 4.13e+02 0.00e+00 -1.0 1.6 5.00e-01 1 2f 7 5.6844257e+04 0.00e+00 5.08e+02 0.00e+00 -1.0 3.8 1.00e+00 1 1f 8 3.3003365e+04 0.00e+00 3.54e+02 0.00e+00 -1.0 3.4 1.00e+00 1 1f 9 2.7221995e+04 0.00e+00 2.39e+02 0.00e+00 -1.0 - 5.00e-01 1 2f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 2.2931995e+04 0.00e+00 3.04e+02 0.00e+00 -1.0 - 1.00e+00 1 1f 11 1.9682456e+04 0.00e+00 6.13e+01 0.00e+00 -1.0 2.9 1.00e+00 1 1f 12 1.8320522e+04 0.00e+00 3.41e+01 0.00e+00 -1.0 2.4 1.00e+00 1 1f 13 1.7628005e+04 0.00e+00 1.16e+01 0.00e+00 -1.0 1.9 1.00e+00 1 1f 14 1.4757075e+04 0.00e+00 9.09e+01 0.00e+00 -1.0 - 6.25e-02 1 5f 15 8.8558764e+03 0.00e+00 2.11e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 16 5.5017377e+03 0.00e+00 4.31e+01 0.00e+00 -1.0 - 1.25e-01 1 4f 17 2.2294090e+03 0.00e+00 4.78e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 18 4.9076517e+02 0.00e+00 2.05e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 19 3.9119978e+01 0.00e+00 1.22e+01 0.00e+00 -1.0 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 3.3314056e-01 0.00e+00 5.44e-01 0.00e+00 -1.0 - 1.00e+00 1 1f 21 2.9011887e-05 0.00e+00 1.33e-02 0.00e+00 -1.7 - 1.00e+00 1 1f 22 1.9736645e-13 0.00e+00 2.30e-07 0.00e+00 -3.8 - 1.00e+00 1 1f 23 3.5530295e-27 0.00e+00 4.57e-14 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 23 (scaled) (unscaled) Objective...............: 1.6448238827044989e-29 3.5530295171154372e-27 Dual infeasibility......: 4.5746804138351500e-14 9.8818935647995230e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 2.1177824625913694e-16 4.5746804138351500e-14 Number of objective function evaluations = 43 Number of objective gradient evaluations = 24 Number of constraint evaluations = 43 Number of constraint Jacobian evaluations = 24 Number of Lagrangian Hessian evaluations = 23 Number of KKT factorizations = 41 Number of KKT backsolves = 33 Total wall secs in initialization = 0.012 s Total wall secs in linear solver = 0.011 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.011 s Total wall secs = 0.037 s EXIT: Optimal Solution Found (tol = 1.0e-08).