# 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 2.6 4 1 1 0.092 10 1 1 -2.3 2 2 1 2.3 3 2 1 -0.65 13 2 1 -0.59 15 2 1 0.1 16 2 1 0.25 2 3 1 -0.65 3 3 1 3.4 12 3 1 0.63 16 3 1 -0.28 1 4 1 0.092 4 4 1 3.4 7 4 1 1.6 9 4 1 -1.3 5 5 1 3.4 7 5 1 -1.9 10 5 1 -0.73 13 5 1 1.7 6 6 1 3.4 8 6 1 0.61 10 6 1 1.5 11 6 1 0.14 4 7 1 1.6 5 7 1 -1.9 7 7 1 3.4 6 8 1 0.61 8 8 1 3.4 10 8 1 -0.66 15 8 1 -0.46 4 9 1 -1.3 9 9 1 3.4 15 9 1 -0.077 1 10 1 -2.3 5 10 1 -0.73 6 10 1 1.5 8 10 1 -0.66 10 10 1 3.4 6 11 1 0.14 11 11 1 3.4 3 12 1 0.63 12 12 1 3.4 14 12 1 -0.45 15 12 1 -0.22 2 13 1 -0.59 5 13 1 1.7 13 13 1 3.4 12 14 1 -0.45 14 14 1 3.4 15 14 1 -0.15 2 15 1 0.1 8 15 1 -0.46 9 15 1 -0.077 12 15 1 -0.22 14 15 1 -0.15 15 15 1 3.8 16 15 1 -0.065 2 16 1 0.25 3 16 1 -0.28 15 16 1 -0.065 16 16 1 3.4 1 1 2 2.9 8 1 2 1.8 2 2 2 2.9 8 2 2 0.54 10 2 2 0.77 3 3 2 2.9 4 3 2 1.2 7 3 2 -0.54 3 4 2 1.2 4 4 2 2.5 5 4 2 1 8 4 2 0.75 15 4 2 -0.34 4 5 2 1 5 5 2 2.9 16 5 2 0.68 6 6 2 2.9 9 6 2 -0.23 14 6 2 0.065 3 7 2 -0.54 7 7 2 2.9 15 7 2 0.97 1 8 2 1.8 2 8 2 0.54 4 8 2 0.75 8 8 2 2.9 9 8 2 1 6 9 2 -0.23 8 9 2 1 9 9 2 2.9 11 9 2 0.33 13 9 2 0.86 2 10 2 0.77 10 10 2 2.4 9 11 2 0.33 11 11 2 2.9 12 11 2 0.93 13 11 2 2.2 14 11 2 0.55 16 11 2 -0.17 11 12 2 0.93 12 12 2 2.9 9 13 2 0.86 11 13 2 2.2 13 13 2 2.9 15 13 2 1.2 6 14 2 0.065 11 14 2 0.55 14 14 2 2.9 4 15 2 -0.34 7 15 2 0.97 13 15 2 1.2 15 15 2 2.9 5 16 2 0.68 11 16 2 -0.17 16 16 2 1.5 ; param: g := 1 1 -4.5 2 1 5.5 3 1 2.6 4 1 4.5 5 1 -2.4 6 1 0.31 7 1 -5.1 8 1 4.8 1 2 1.8 2 2 1.3 3 2 -0.88 4 2 0.6 5 2 -3.3 6 2 -4.9 7 2 4.7 8 2 5.8 ; param: A := 1 1 1 -1.4 2 1 1 3.4 2 3 1 -3.9 3 3 1 -0.32 4 4 1 2.9 3 6 1 -2.6 1 7 1 2.5 3 7 1 3.6 4 8 1 -1.3 4 1 2 2.6 2 2 2 -1.4 2 3 2 -2.7 4 3 2 0.39 1 4 2 3.3 2 4 2 0.024 4 4 2 1.9 3 5 2 -3 2 6 2 1.8 1 7 2 3.9 2 7 2 1 2 8 2 1 ; param : b := 1 1 0.15 2 1 1.5 3 1 1.1 4 1 1.8 1 2 7.2 2 2 1.5 3 2 1.1 4 2 4.8 ; param: N := 3 1 0 10 1 0 12 1 2.4 1 2 0 9 4 0 14 4 0 16 4 0 8 5 0 14 5 0 4 6 0.91 6 6 0 8 6 1.3 13 6 0 2 7 0 3 7 0 14 7 0 15 7 0.89 7 8 0 9 8 0 10 8 0 13 8 0 15 8 0 4 9 0 5 9 0 6 9 0 2 10 0 4 10 0 5 10 0 7 10 0 8 10 0 13 10 0 14 11 0 1 12 0 2 12 0 10 12 0 13 12 0 14 12 0 1 13 0 6 13 0 11 13 0 3 14 0 5 14 0 9 14 0 2 15 0 14 15 0 16 15 0 13 16 0 ; param: M := 1 1 0.71 16 1 0.59 1 2 0.14 2 2 2 6 2 0.3 7 2 0.53 12 2 0.83 13 2 0.14 16 2 0.096 1 3 0.56 2 3 0.69 3 3 3.1 9 3 0.062 10 3 0.023 15 3 0.67 3 4 0.91 4 4 2.3 11 4 0.83 2 5 0.52 5 5 0.53 6 6 0.73 2 7 0.058 4 7 0.72 7 7 1.7 9 7 0.04 15 7 0.34 8 8 0.53 10 8 0.072 15 8 0.45 9 9 1.2 16 9 0.13 3 10 0.97 7 10 0.53 10 10 1.7 12 10 0.19 4 11 0.84 5 11 0.08 11 11 1.9 13 11 0.22 3 12 0.82 4 12 0.54 11 12 0.37 12 12 2.4 14 12 0.63 11 13 0.3 13 13 0.37 4 14 0.22 6 14 0.42 8 14 0.12 9 14 0.23 14 14 1.4 3 15 0.41 9 15 0.88 10 15 0.5 11 15 0.35 14 15 0.76 15 15 2.9 2 16 0.17 7 16 0.61 16 16 0.83 ; param : q := 1 1.3 2 -0.51 3 -0.6 4 0.35 5 -0.63 6 -0.76 7 2.2 8 3 9 -3.5 10 -1.9 11 0.52 12 -1.2 13 -3.3 14 1.2 15 -0.29 16 -0.39 ;