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.............: 40 Total number of variables............................: 4 variables with only lower bounds: 0 variables with lower and upper bounds: 4 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 2.6480000e+03 0.00e+00 1.00e+02 2.00e+00 -1.0 - 0.00e+00 0 0 1 2.5104637e+03 0.00e+00 9.87e+01 1.09e-01 -1.0 4.0 1.00e+00 1 1f 2 2.1249682e+03 0.00e+00 9.44e+01 1.00e-01 -1.0 3.5 1.00e+00 1 1f 3 1.2217223e+03 0.00e+00 7.88e+01 9.99e-02 -1.0 3.0 1.00e+00 1 1f 4 1.9586191e+02 0.00e+00 3.40e+01 9.97e-02 -1.0 2.6 1.00e+00 1 1f 5 3.9086018e+01 0.00e+00 3.73e+00 9.99e-02 -1.0 2.1 1.00e+00 1 1f 6 3.7437065e+01 0.00e+00 2.04e-01 1.00e-01 -1.0 1.6 1.00e+00 1 1f 7 3.7431454e+01 0.00e+00 4.69e-03 2.00e-02 -1.7 1.1 1.00e+00 1 1f 8 3.7431447e+01 0.00e+00 5.83e-05 1.51e-04 -3.8 0.7 1.00e+00 1 1f 9 3.7431447e+01 0.00e+00 1.61e-06 1.84e-06 -5.7 1.1 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 3.7431447e+01 0.00e+00 1.27e-08 2.51e-09 -8.6 0.6 1.00e+00 1 1f 11 3.7431447e+01 0.00e+00 1.22e-08 9.09e-10 -9.0 1.0 6.25e-02 1 5f 12 3.7431447e+01 0.00e+00 7.27e-11 9.09e-10 -9.0 0.6 1.00e+00 1 1f Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 1.0682490496363088e+00 3.7431446699256284e+01 Dual infeasibility......: 7.2671143649155486e-11 2.5463968734664097e-09 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5944375259443744e-11 9.0909090909090931e-10 Overall NLP error.......: 9.0909090909090931e-10 9.0909090909090931e-10 Number of objective function evaluations = 21 Number of objective gradient evaluations = 13 Number of constraint evaluations = 21 Number of constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 12 Number of KKT factorizations = 30 Number of KKT backsolves = 16 Total wall secs in initialization = 0.020 s Total wall secs in linear solver = 0.010 s Total wall secs in NLP function evaluations = 0.002 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.020 s Total wall secs = 0.053 s EXIT: Optimal Solution Found (tol = 1.0e-08).