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.............: 7 Total number of variables............................: 3 variables with only lower bounds: 0 variables with lower and upper bounds: 3 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 1.0160000e+03 0.00e+00 9.00e+00 1.00e+00 -1.0 - 0.00e+00 0 0 1 1.0159998e+03 0.00e+00 1.01e+01 1.00e-01 -1.0 6.0 1.00e+00 1 1f 2 1.0159990e+03 0.00e+00 1.44e+01 1.00e-01 -1.0 5.5 1.00e+00 1 1f 3 1.0158952e+03 0.00e+00 1.44e+02 1.00e-01 -1.0 5.0 1.00e+00 1 1f 4 1.0157617e+03 0.00e+00 2.18e+02 1.00e-01 -1.0 5.5 1.00e+00 1 1f 5 1.0156878e+03 0.00e+00 2.50e+02 1.00e-01 -1.0 5.9 1.00e+00 1 1f 6 1.0151901e+03 0.00e+00 4.02e+02 1.00e-01 -1.0 5.4 1.00e+00 1 1f 7 1.0148994e+03 0.00e+00 4.69e+02 1.00e-01 -1.0 5.8 1.00e+00 1 1f 8 1.0126527e+03 0.00e+00 8.17e+02 1.00e-01 -1.0 5.4 1.00e+00 1 1f 9 1.0112582e+03 0.00e+00 9.73e+02 1.00e-01 -1.0 5.8 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 9.9856583e+02 0.00e+00 1.86e+03 1.00e-01 -1.0 5.3 1.00e+00 1 1f 11 9.9018439e+02 0.00e+00 2.26e+03 1.00e-01 -1.0 5.7 1.00e+00 1 1f 12 9.0037740e+02 0.00e+00 4.67e+03 1.00e-01 -1.0 5.3 1.00e+00 1 1f 13 8.4077919e+02 0.00e+00 5.66e+03 1.00e-01 -1.0 5.7 1.00e+00 1 1f 14 2.9136466e+02 0.00e+00 9.62e+03 1.00e-01 -1.0 5.2 1.00e+00 1 1f 15 1.3155088e+02 0.00e+00 9.92e+03 1.00e-01 -1.0 4.7 1.00e+00 1 1f 16 -7.2271815e+02 0.00e+00 6.77e+03 1.00e-01 -1.0 4.3 1.55e-01 1 3f 17 -8.8498465e+02 0.00e+00 4.50e+03 1.03e-01 -1.0 - 3.01e-01 1 1f 18 -9.2506074e+02 0.00e+00 3.63e+03 1.37e-01 -1.0 - 1.89e-01 1 1f 19 -9.9279107e+02 0.00e+00 1.81e+02 4.03e-01 -1.0 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 -9.9309492e+02 0.00e+00 2.07e-02 2.65e-01 -1.0 - 1.00e+00 1 1f 21 -9.9329644e+02 0.00e+00 8.98e-13 7.65e-02 -1.7 - 1.00e+00 1 1f 22 -9.9333801e+02 0.00e+00 6.28e-13 2.06e-02 -2.5 - 1.00e+00 1 1f 23 -9.9334791e+02 0.00e+00 2.83e-12 5.22e-03 -3.8 - 1.00e+00 1 1f 24 -9.9334978e+02 0.00e+00 2.75e-13 1.38e-03 -3.8 - 1.00e+00 1 1f 25 -9.9335045e+02 0.00e+00 1.37e-12 3.46e-04 -5.7 - 1.00e+00 1 1f 26 -9.9335058e+02 0.00e+00 4.09e-12 8.74e-05 -5.7 - 1.00e+00 1 1f 27 -9.9335061e+02 0.00e+00 2.52e-12 2.28e-05 -5.7 - 1.00e+00 1 1f 28 -9.9335062e+02 0.00e+00 1.81e-12 6.66e-06 -5.7 - 1.00e+00 1 1f 29 -9.9335062e+02 0.00e+00 4.46e-13 1.67e-06 -8.6 - 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 30 -9.9335062e+02 0.00e+00 2.27e-12 4.18e-07 -8.6 - 1.00e+00 1 1f 31 -9.9335062e+02 0.00e+00 2.15e-12 1.06e-07 -8.6 - 1.00e+00 1 1f 32 -9.9335062e+02 0.00e+00 2.11e-12 2.77e-08 -8.6 - 1.00e+00 1 1f 33 -9.9335062e+02 0.00e+00 2.09e-12 8.23e-09 -8.6 - 1.00e+00 1 1f Number of Iterations....: 33 (scaled) (unscaled) Objective...............: -9.9335062184816661e+02 -9.9335062184816661e+02 Dual infeasibility......: 2.0940377339967650e-12 2.0940377339967650e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 8.2317669234408533e-09 8.2317669234408533e-09 Overall NLP error.......: 8.2317669234408533e-09 8.2317669234408533e-09 Number of objective function evaluations = 40 Number of objective gradient evaluations = 34 Number of constraint evaluations = 40 Number of constraint Jacobian evaluations = 34 Number of Lagrangian Hessian evaluations = 33 Number of KKT factorizations = 60 Number of KKT backsolves = 37 Total wall secs in initialization = 0.014 s Total wall secs in linear solver = 0.017 s Total wall secs in NLP function evaluations = 0.005 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.038 s Total wall secs = 0.074 s EXIT: Optimal Solution Found (tol = 1.0e-08).