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.............: 8 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 6.3411111e+02 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.2661495e+02 0.00e+00 3.04e+01 0.00e+00 -1.0 - 1.00e+00 1 1f 2 6.9143369e+01 0.00e+00 2.06e+01 0.00e+00 -1.0 -2.0 5.00e-01 1 2f 3 6.4521309e+01 0.00e+00 2.40e+00 0.00e+00 -1.0 -0.7 1.00e+00 1 1f 4 6.2609935e+01 0.00e+00 2.59e+01 0.00e+00 -1.0 -1.1 1.00e+00 1 1f 5 3.5626147e+01 0.00e+00 7.25e+00 0.00e+00 -1.0 0.2 1.00e+00 1 1f 6 3.3568321e+01 0.00e+00 3.42e+01 0.00e+00 -1.0 -0.3 5.00e-01 1 2f 7 1.9338801e+01 0.00e+00 3.56e+00 0.00e+00 -1.0 1.0 1.00e+00 1 1f 8 1.8161747e+01 0.00e+00 2.27e+00 0.00e+00 -1.0 1.5 1.00e+00 1 1f 9 1.7145592e+01 0.00e+00 1.52e+00 0.00e+00 -1.0 1.0 2.50e-01 1 3f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.7035637e+01 0.00e+00 8.64e+00 0.00e+00 -1.0 1.4 1.00e+00 1 1f 11 1.6365981e+01 0.00e+00 3.73e+00 0.00e+00 -1.0 1.8 5.00e-01 1 2f 12 1.6218579e+01 0.00e+00 1.82e+00 0.00e+00 -1.0 2.3 1.00e+00 1 1f 13 1.5923405e+01 0.00e+00 1.62e+00 0.00e+00 -1.0 1.8 1.00e+00 1 1f 14 1.5106452e+01 0.00e+00 1.52e+00 0.00e+00 -1.0 1.3 1.00e+00 1 1f 15 9.0165800e-01 0.00e+00 3.31e-01 0.00e+00 -1.0 - 5.00e-01 1 2f 16 3.0175236e-02 0.00e+00 4.65e-02 0.00e+00 -1.7 - 1.00e+00 1 1f 17 4.5231620e-03 0.00e+00 1.39e-02 0.00e+00 -2.5 - 1.00e+00 1 1f 18 8.8767249e-04 0.00e+00 4.11e-03 0.00e+00 -3.8 - 1.00e+00 1 1f 19 1.7533556e-04 0.00e+00 1.22e-03 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 3.4634180e-05 0.00e+00 3.61e-04 0.00e+00 -5.7 - 1.00e+00 1 1f 21 6.8413195e-06 0.00e+00 1.07e-04 0.00e+00 -5.7 - 1.00e+00 1 1f 22 1.3513717e-06 0.00e+00 3.17e-05 0.00e+00 -5.7 - 1.00e+00 1 1f 23 2.6693763e-07 0.00e+00 9.40e-06 0.00e+00 -5.7 - 1.00e+00 1 1f 24 5.2728420e-08 0.00e+00 2.78e-06 0.00e+00 -8.6 - 1.00e+00 1 1f 25 1.0415490e-08 0.00e+00 8.25e-07 0.00e+00 -8.6 - 1.00e+00 1 1f 26 2.0573808e-09 0.00e+00 2.44e-07 0.00e+00 -8.6 - 1.00e+00 1 1f 27 4.0639621e-10 0.00e+00 7.24e-08 0.00e+00 -8.6 - 1.00e+00 1 1f 28 8.0275795e-11 0.00e+00 2.15e-08 0.00e+00 -8.6 - 1.00e+00 1 1f 29 1.5856947e-11 0.00e+00 6.36e-09 0.00e+00 -9.0 - 1.00e+00 1 1f Number of Iterations....: 29 (scaled) (unscaled) Objective...............: 3.1718593503582789e-12 1.5856947226346684e-11 Dual infeasibility......: 6.3579779482569263e-09 3.1785180127989624e-08 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 1.2717840020961404e-09 6.3579779482569263e-09 Number of objective function evaluations = 56 Number of objective gradient evaluations = 30 Number of constraint evaluations = 56 Number of constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 29 Number of KKT factorizations = 53 Number of KKT backsolves = 49 Total wall secs in initialization = 0.013 s Total wall secs in linear solver = 0.019 s Total wall secs in NLP function evaluations = 0.007 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.017 s Total wall secs = 0.056 s EXIT: Optimal Solution Found (tol = 1.0e-08).