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.............: 250 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 8.2217906e+00 0.00e+00 1.00e+02 0.00e+00 -1.0 - 0.00e+00 0 0 1 1.5690385e-01 0.00e+00 8.01e-05 0.00e+00 -1.0 -4.0 1.00e+00 1 1f 2 1.5686457e-01 0.00e+00 3.66e-07 0.00e+00 -5.7 -4.5 1.00e+00 1 1f 3 1.5685907e-01 0.00e+00 3.66e-07 0.00e+00 -8.6 -5.0 1.00e+00 1 1f 4 1.5684256e-01 0.00e+00 3.66e-07 0.00e+00 -8.6 -5.4 1.00e+00 1 1f 5 1.5679308e-01 0.00e+00 4.88e-07 0.00e+00 -8.6 -5.9 1.00e+00 1 1f 6 1.5664503e-01 0.00e+00 4.38e-06 0.00e+00 -8.6 -6.4 1.00e+00 1 1f 7 1.5620439e-01 0.00e+00 3.91e-05 0.00e+00 -8.6 -6.9 1.00e+00 1 1f 8 1.5491305e-01 0.00e+00 3.44e-04 0.00e+00 -8.6 -7.3 1.00e+00 1 1f 9 1.5129080e-01 0.00e+00 2.90e-03 0.00e+00 -8.6 -7.8 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 10 1.4219992e-01 0.00e+00 2.20e-02 0.00e+00 -8.6 -8.3 1.00e+00 1 1f 11 1.2377327e-01 0.00e+00 1.37e-01 0.00e+00 -8.6 -8.8 1.00e+00 1 1f 12 8.9148468e-02 0.00e+00 7.18e-01 0.00e+00 -8.6 -9.2 1.00e+00 1 1f 13 8.0905341e-02 0.00e+00 5.27e-02 0.00e+00 -8.6 -8.8 1.00e+00 1 1f 14 6.2591402e-02 0.00e+00 1.98e-01 0.00e+00 -8.6 -9.3 1.00e+00 1 1f 15 3.8087193e-02 0.00e+00 1.80e+00 0.00e+00 -8.6 -9.8 6.25e-02 1 5f 16 1.9605227e-02 0.00e+00 3.03e-01 0.00e+00 -8.6 -10.3 5.00e-01 1 2f 17 8.6971603e-03 0.00e+00 6.88e-01 0.00e+00 -8.6 -9.8 5.00e-01 1 2f 18 7.1615875e-03 0.00e+00 8.40e-01 0.00e+00 -8.6 -10.3 1.00e+00 1 1f 19 2.7625755e-03 0.00e+00 2.23e-03 0.00e+00 -8.6 -9.0 1.00e+00 1 1f iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 20 2.0709659e-03 0.00e+00 1.22e-02 0.00e+00 -8.6 -9.5 1.00e+00 1 1f 21 1.3902945e-03 0.00e+00 2.27e-01 0.00e+00 -8.6 - 2.50e-01 1 3f 22 8.4420439e-04 0.00e+00 1.47e-01 0.00e+00 -8.6 - 1.00e+00 1 1f 23 6.1035197e-04 0.00e+00 8.89e-02 0.00e+00 -8.6 - 1.00e+00 1 1f 24 5.1680863e-04 0.00e+00 2.95e-02 0.00e+00 -8.6 - 1.00e+00 1 1f 25 4.9635641e-04 0.00e+00 1.08e-02 0.00e+00 -8.6 - 1.00e+00 1 1f 26 4.9485953e-04 0.00e+00 6.29e-04 0.00e+00 -8.6 - 1.00e+00 1 1f 27 4.9484847e-04 0.00e+00 7.50e-06 0.00e+00 -8.6 - 1.00e+00 1 1f 28 4.9484847e-04 0.00e+00 3.10e-10 0.00e+00 -8.6 - 1.00e+00 1 1f Number of Iterations....: 28 (scaled) (unscaled) Objective...............: 1.1639410939578275e-06 4.9484847330968842e-04 Dual infeasibility......: 3.1033383249932710e-10 1.3193814019096806e-07 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00 Overall NLP error.......: 7.2994122438231239e-13 3.1033383249932710e-10 Number of objective function evaluations = 53 Number of objective gradient evaluations = 29 Number of constraint evaluations = 53 Number of constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Number of KKT factorizations = 52 Number of KKT backsolves = 44 Total wall secs in initialization = 0.016 s Total wall secs in linear solver = 0.015 s Total wall secs in NLP function evaluations = 0.003 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.015 s Total wall secs = 0.049 s EXIT: Optimal Solution Found (tol = 1.0e-08).