This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 5925 Number of nonzeros in Lagrangian Hessian.............: 8474 Total number of variables............................: 1053 variables with only lower bounds: 0 variables with lower and upper bounds: 935 variables with only upper bounds: 0 Total number of equality constraints.................: 981 Total number of inequality constraints...............: 558 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 186 inequality constraints with only upper bounds: 372 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 4.7812282e+02 2.76e+00 2.19e+01 5.21e+03 -1.0 - 0.00e+00 1 0 1 3.4413795e+04 2.00e+00 7.98e+01 5.19e+03 -1.0 - 2.74e-01 1 1h 2 3.5529569e+04 1.90e+00 7.55e+01 4.76e+03 -1.0 - 5.16e-02 1 1h 3 3.6122718e+04 1.78e+00 6.94e+01 3.44e+03 -1.0 - 6.39e-02 1 1h 4 4.3034387e+04 1.56e+00 6.06e+01 2.13e+03 -1.0 - 1.25e-01 1 1h 5 6.1165727e+04 9.99e-01 3.88e+01 1.03e+03 -1.0 - 3.58e-01 1 1h 6 7.0544247e+04 9.13e-01 3.17e+01 4.79e+02 -1.0 - 2.69e-01 1 1h 7 8.3787404e+04 1.39e+00 2.24e+01 3.06e+01 -1.0 - 5.08e-01 1 1h 8 9.0768121e+04 2.94e+00 8.61e+00 2.41e+01 -1.0 - 5.38e-01 1 1h 9 9.2112471e+04 2.54e+00 9.08e+00 4.89e+00 -1.0 - 2.67e-01 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 9.4120919e+04 1.62e+00 5.71e+00 3.52e+00 -1.0 - 3.67e-01 1 1h 11 9.7136339e+04 8.73e-01 1.65e+00 2.41e-01 -1.0 - 8.43e-01 1 1h 12 9.7744884e+04 6.99e-02 4.93e+01 3.25e-01 -1.0 - 1.00e+00 1 1H 13 9.7684424e+04 1.70e-01 6.12e+00 3.57e-01 -1.0 - 1.00e+00 1 1h 14 9.7696511e+04 1.17e-02 1.38e-01 1.01e-01 -1.0 - 1.00e+00 1 1h 15 9.7488045e+04 2.90e-01 1.29e+00 4.81e-02 -2.5 - 5.55e-01 1 1h 16 9.7309948e+04 7.69e-02 2.33e-01 1.89e-02 -2.5 - 7.85e-01 1 1h 17 9.7248675e+04 1.00e-01 1.10e+00 7.04e-03 -2.5 - 7.64e-01 1 1h 18 9.7231317e+04 5.48e-02 1.34e-02 3.96e-03 -2.5 - 1.00e+00 1 1h 19 9.7233034e+04 6.77e-05 9.26e-05 2.97e-03 -2.5 - 1.00e+00 1 1h iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 9.7219106e+04 9.66e-03 1.84e-01 1.13e-03 -3.8 - 7.15e-01 1 1f 21 9.7214346e+04 1.03e-03 1.39e-01 4.03e-04 -3.8 - 1.00e+00 1 1h 22 9.7214571e+04 9.01e-05 1.27e-04 1.97e-04 -3.8 - 1.00e+00 1 1h 23 9.7213705e+04 6.72e-05 3.70e-03 5.33e-05 -5.7 - 9.07e-01 1 1h 24 9.7213619e+04 2.69e-05 2.59e-05 1.42e-05 -5.7 - 1.00e+00 1 1h 25 9.7213619e+04 5.15e-06 5.09e-06 4.51e-06 -5.7 - 1.00e+00 2 1h 26 9.7213607e+04 2.12e-06 3.72e-05 1.11e-06 -8.6 - 1.00e+00 2 1h 27 9.7213607e+04 4.80e-07 4.75e-07 2.58e-07 -8.6 - 1.00e+00 2 1h 28 9.7213607e+04 8.81e-08 8.74e-08 4.84e-08 -8.6 - 1.00e+00 2 1h 29 9.7213607e+04 6.91e-09 6.86e-09 6.11e-09 -8.6 - 1.00e+00 2 1h Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 7.8032097060857177e+02 9.7213606940413913e+04 Dual infeasibility......: 6.8596584001825953e-09 8.5458697200048567e-07 Constraint violation....: 6.9109882261386701e-09 6.9109882261386701e-09 Complementarity.........: 4.9056388541801587e-11 6.1115216087293215e-09 Overall NLP error.......: 6.9109882261386701e-09 6.9109882261386701e-09 Number of objective function evaluations = 31 Number of objective gradient evaluations = 30 Number of constraint evaluations = 31 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 30 Number of KKT backsolves = 36 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.072 s Total wall secs in NLP function evaluations = 0.056 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.088 s Total wall secs = 0.231 s EXIT: Optimal Solution Found (tol = 1.0e-08).