# random EPEC s p a r s e data from matlab param l := 2 ; # ... number of leaders param n := 8 ; # ... number of leaders variables param m := 16 ; # ... number of followers param p := 4 ; # ... number of leaders constraints param: G := 1 1 1 2.7 7 1 1 -0.77 10 1 1 -0.18 2 2 1 2.7 4 2 1 0.083 11 2 1 -0.96 13 2 1 -0.2 3 3 1 2.7 7 3 1 -0.21 11 3 1 0.14 13 3 1 0.033 15 3 1 -0.71 2 4 1 0.083 4 4 1 2.7 8 4 1 -0.96 13 4 1 -0.98 14 4 1 -1.2 15 4 1 -0.11 5 5 1 2.7 6 5 1 0.51 5 6 1 0.51 6 6 1 2.7 11 6 1 0.38 1 7 1 -0.77 3 7 1 -0.21 7 7 1 2.7 12 7 1 -0.17 4 8 1 -0.96 8 8 1 2.7 9 8 1 -2.4 8 9 1 -2.4 9 9 1 2.7 10 9 1 -0.5 13 9 1 0.26 1 10 1 -0.18 9 10 1 -0.5 10 10 1 2.7 16 10 1 -0.42 2 11 1 -0.96 3 11 1 0.14 6 11 1 0.38 11 11 1 2.7 12 11 1 -0.78 7 12 1 -0.17 11 12 1 -0.78 12 12 1 2.7 2 13 1 -0.2 3 13 1 0.033 4 13 1 -0.98 9 13 1 0.26 13 13 1 2.7 16 13 1 1.9 4 14 1 -1.2 14 14 1 2.7 15 14 1 0.17 3 15 1 -0.71 4 15 1 -0.11 14 15 1 0.17 15 15 1 2.7 10 16 1 -0.42 13 16 1 1.9 16 16 1 2.7 1 1 2 4.3 10 1 2 -0.22 12 1 2 -0.2 15 1 2 -0.24 2 2 2 4.3 3 2 2 1.4 4 2 2 -0.53 5 2 2 -1 7 2 2 -2.4 8 2 2 -1.1 9 2 2 0.58 2 3 2 1.4 3 3 2 4.3 8 3 2 -0.38 16 3 2 0.058 2 4 2 -0.53 4 4 2 4.3 11 4 2 0.14 16 4 2 -1.5 2 5 2 -1 5 5 2 4.3 7 5 2 -2.5 12 5 2 0.65 13 5 2 -0.36 6 6 2 5.1 9 6 2 0.25 10 6 2 -0.075 12 6 2 -0.14 13 6 2 -0.89 2 7 2 -2.4 5 7 2 -2.5 7 7 2 4.3 2 8 2 -1.1 3 8 2 -0.38 8 8 2 4.3 15 8 2 1.3 2 9 2 0.58 6 9 2 0.25 9 9 2 4.3 10 9 2 0.055 1 10 2 -0.22 6 10 2 -0.075 9 10 2 0.055 10 10 2 4.3 4 11 2 0.14 11 11 2 4.3 12 11 2 -0.38 1 12 2 -0.2 5 12 2 0.65 6 12 2 -0.14 11 12 2 -0.38 12 12 2 4.3 16 12 2 -0.66 5 13 2 -0.36 6 13 2 -0.89 13 13 2 4.3 14 14 2 4.3 15 14 2 -0.42 1 15 2 -0.24 8 15 2 1.3 14 15 2 -0.42 15 15 2 4.3 3 16 2 0.058 4 16 2 -1.5 12 16 2 -0.66 16 16 2 4.3 ; param: g := 1 1 2.3 2 1 2.8 3 1 -3.2 4 1 0.043 5 1 -0.89 6 1 3.4 7 1 0.94 8 1 4 1 2 2.7 2 2 -5.6 3 2 -4.8 4 2 -4 5 2 2.8 6 2 -0.19 7 2 -0.58 8 2 -4.9 ; param: A := 3 1 1 -3.6 4 1 1 -0.52 3 2 1 -0.23 3 3 1 3.7 3 5 1 -0.39 2 6 1 -0.76 3 6 1 -2.9 4 6 1 -3.8 1 7 1 3.9 2 7 1 1.2 2 8 1 -1.2 3 8 1 1.1 2 1 2 -3 3 1 2 -3.1 1 2 2 -0.42 3 3 2 -1.5 4 4 2 -0.62 2 7 2 -0.8 3 7 2 -1.4 4 7 2 2.7 3 8 2 -1.7 ; param : b := 1 1 4.6 2 1 0.24 3 1 5.5 4 1 0.68 1 2 4.6 2 2 0.24 3 2 5.5 4 2 2.1 ; param: N := 3 1 0 8 1 0 10 1 2.4 11 1 0 14 1 0 3 2 0 5 2 0 7 2 0.012 10 2 0 13 2 2.7 14 2 2.1 11 3 0 13 3 0 4 4 7.7 6 4 0 12 4 0 14 4 0 1 5 0 3 5 0.88 16 5 0 4 6 7.7 14 6 0 16 6 0.46 9 8 0 14 8 0 1 9 3.5 2 9 0 4 9 0 2 10 6.7 14 10 1.3 3 11 0 5 11 0 7 11 0 9 11 0 12 11 0 16 11 0 5 12 0 8 12 0 13 12 0 1 13 0 8 13 0 9 13 0 12 13 2.9 15 13 0 2 14 8 11 14 0 12 14 0 15 15 0 8 16 0 ; param: M := 1 1 1.8 6 1 0.95 7 1 0.83 2 2 1.6 6 2 0.9 11 2 0.42 15 2 0.043 3 3 1.2 6 3 0.49 12 3 0.57 4 4 2 6 4 0.32 16 4 0.87 4 5 0.057 5 5 0.067 3 6 0.66 4 6 0.64 6 6 3.4 15 6 0.55 4 7 0.81 7 7 0.84 2 8 0.54 8 8 2.5 9 8 0.9 10 8 0.2 15 8 0.83 3 9 0.26 8 9 0.56 9 9 2.2 12 9 0.78 14 9 0.065 16 9 0.58 2 10 0.95 10 10 3.2 13 10 0.64 14 10 0.74 15 10 0.87 1 11 0.82 11 11 1.6 14 11 0.78 2 12 0.11 6 12 0.74 10 12 0.22 11 12 0.87 12 12 2.8 13 12 0.48 16 12 0.37 13 13 1.7 9 14 0.6 12 14 0.55 13 14 0.52 14 14 1.8 16 14 0.17 9 15 0.41 10 15 0.4 15 15 2.3 1 16 0.99 3 16 0.23 4 16 0.44 16 16 2 ; param : q := 1 0.96 2 1.2 3 1.8 4 -0.4 5 -2.4 6 -3.2 7 1.7 8 2.6 9 2.2 10 0.036 11 -1.9 12 1.1 13 -1.5 14 3 15 0.86 16 3.4 ;