# 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 3.5 6 1 1 -0.68 8 1 1 -1.2 13 1 1 0.056 14 1 1 -0.37 2 2 1 3.5 13 2 1 -1.4 16 2 1 0.73 3 3 1 3.5 11 3 1 0.11 4 4 1 3.5 5 4 1 -0.2 7 4 1 -2 13 4 1 -1.6 4 5 1 -0.2 5 5 1 3.5 6 5 1 0.13 12 5 1 1.6 1 6 1 -0.68 5 6 1 0.13 6 6 1 3.5 9 6 1 -2.1 4 7 1 -2 7 7 1 3.5 8 7 1 0.65 10 7 1 -0.18 15 7 1 0.55 1 8 1 -1.2 7 8 1 0.65 8 8 1 3.5 6 9 1 -2.1 9 9 1 3.5 12 9 1 2.1 13 9 1 -1 15 9 1 0.37 16 9 1 -1 7 10 1 -0.18 10 10 1 3.5 3 11 1 0.11 11 11 1 3.5 15 11 1 -0.079 5 12 1 1.6 9 12 1 2.1 12 12 1 3.5 1 13 1 0.056 2 13 1 -1.4 4 13 1 -1.6 9 13 1 -1 13 13 1 3.5 16 13 1 1 1 14 1 -0.37 14 14 1 3.5 7 15 1 0.55 9 15 1 0.37 11 15 1 -0.079 15 15 1 3.5 2 16 1 0.73 9 16 1 -1 13 16 1 1 16 16 1 3.5 1 1 2 3.2 6 1 2 -0.34 2 2 2 3.2 3 2 2 0.55 4 2 2 1.1 5 2 2 -1.1 2 3 2 0.55 3 3 2 3.2 7 3 2 0.46 8 3 2 -2.3 9 3 2 -1.1 13 3 2 0.38 2 4 2 1.1 4 4 2 3.5 7 4 2 1.6 2 5 2 -1.1 5 5 2 3.2 8 5 2 -1.1 9 5 2 -0.6 10 5 2 -1.1 1 6 2 -0.34 6 6 2 3.2 8 6 2 0.086 9 6 2 1.2 16 6 2 2 3 7 2 0.46 4 7 2 1.6 7 7 2 3.2 11 7 2 -0.32 13 7 2 -0.21 14 7 2 -1.2 3 8 2 -2.3 5 8 2 -1.1 6 8 2 0.086 8 8 2 3.2 9 8 2 0.71 15 8 2 -0.11 3 9 2 -1.1 5 9 2 -0.6 6 9 2 1.2 8 9 2 0.71 9 9 2 3.2 10 9 2 0.64 5 10 2 -1.1 9 10 2 0.64 10 10 2 3.2 15 10 2 1.9 7 11 2 -0.32 11 11 2 3.2 12 12 2 3.2 13 12 2 -2 16 12 2 1.7 3 13 2 0.38 7 13 2 -0.21 12 13 2 -2 13 13 2 3.2 7 14 2 -1.2 14 14 2 3.2 8 15 2 -0.11 10 15 2 1.9 15 15 2 3.2 6 16 2 2 12 16 2 1.7 16 16 2 3.2 ; param: g := 1 1 5.6 2 1 -3 3 1 -2.6 4 1 0.6 5 1 2.6 6 1 0.18 7 1 -0.16 8 1 -1.8 1 2 1.1 2 2 3.7 3 2 -1.1 4 2 -5.5 5 2 0.55 6 2 -4.4 7 2 0.9 8 2 5.6 ; param: A := 3 1 1 2.1 1 2 1 3.6 4 2 1 -0.64 1 3 1 2.6 1 4 1 2.2 2 5 1 2.7 3 5 1 -0.83 1 7 1 1.5 2 7 1 1 3 7 1 0.68 4 8 1 2.4 1 1 2 1.9 2 1 2 -0.21 1 2 2 -1.6 3 3 2 -2 4 3 2 -0.21 2 6 2 3.3 3 6 2 2 2 7 2 3.4 3 7 2 1.5 2 8 2 3.1 3 8 2 -0.26 ; param : b := 1 1 1.7 2 1 4.1 3 1 7.2 4 1 6.7 1 2 1.7 2 2 9.6 3 2 7.2 4 2 6.7 ; param: N := 6 1 0 14 1 0 13 2 0 11 3 0 13 3 0 4 4 6.2 14 4 0 16 4 0 4 5 0 14 5 0 13 6 0 5 7 0 7 7 0 13 7 2.8 2 8 0 7 8 0 13 8 0 2 10 0 7 10 0 8 10 0 2 11 0 4 11 0 5 11 0 7 11 0 11 11 0 1 12 0 12 12 0 13 12 0 14 12 5.6 16 12 0 4 13 0 13 13 0 2 14 0 3 14 0 7 14 0 9 14 0 16 14 0 3 15 0 7 15 0 16 15 0 2 16 0 11 16 0 15 16 6.8 ; param: M := 1 1 1.9 4 1 0.55 9 1 0.69 10 1 0.7 2 2 0.85 5 2 0.71 3 3 2 10 3 0.85 13 3 0.19 4 4 1.1 13 4 0.6 2 5 0.81 5 5 2.4 6 6 2.2 10 6 0.49 14 6 0.42 2 7 0.029 3 7 0.54 7 7 1.9 10 7 0.8 12 7 0.53 1 8 0.5 3 8 0.12 5 8 0.72 6 8 0.95 8 8 2.3 3 9 0.73 9 9 2.7 11 9 0.23 12 9 0.87 14 9 0.052 15 9 0.85 1 10 0.12 4 10 0.51 6 10 0.38 10 10 3.5 12 10 0.34 16 10 0.92 11 11 1.3 12 11 0.46 16 11 0.86 1 12 0.42 6 12 0.63 8 12 0.49 12 12 2.9 13 12 0.36 15 12 0.14 16 12 0.82 11 13 0.023 13 13 1.2 6 14 0.18 10 14 0.18 14 14 0.48 8 15 0.3 10 15 0.45 15 15 0.99 3 16 0.63 5 16 0.98 16 16 2.6 ; param : q := 1 -3.8 2 3.8 3 -1.8 4 1.9 5 -3.2 6 2.6 7 2.3 8 -3.9 9 2.4 10 0.84 11 -3.9 12 0.38 13 1 14 -3.8 15 -1.5 16 0.62 ;