# 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 2 1 1 0.13 3 1 1 -0.65 1 2 1 0.13 2 2 1 3.5 3 2 1 0.23 6 2 1 -0.46 14 2 1 -0.041 16 2 1 0.66 1 3 1 -0.65 2 3 1 0.23 3 3 1 3.5 4 3 1 -0.26 13 3 1 -0.26 3 4 1 -0.26 4 4 1 3.5 5 4 1 -0.99 10 4 1 0.93 13 4 1 -2.4 4 5 1 -0.99 5 5 1 3.5 6 5 1 1.5 11 5 1 -1.3 12 5 1 -1.1 15 5 1 0.81 2 6 1 -0.46 5 6 1 1.5 6 6 1 3.5 7 6 1 0.011 6 7 1 0.011 7 7 1 3.1 12 7 1 -1.2 13 7 1 0.29 8 8 1 3.5 11 8 1 1.3 9 9 1 3.5 14 9 1 0.95 4 10 1 0.93 10 10 1 3.5 11 10 1 -1.1 5 11 1 -1.3 8 11 1 1.3 10 11 1 -1.1 11 11 1 3.5 13 11 1 -1.3 5 12 1 -1.1 7 12 1 -1.2 12 12 1 3.5 3 13 1 -0.26 4 13 1 -2.4 7 13 1 0.29 11 13 1 -1.3 13 13 1 3.5 2 14 1 -0.041 9 14 1 0.95 14 14 1 2.3 5 15 1 0.81 15 15 1 2.5 2 16 1 0.66 16 16 1 3.5 1 1 2 3 11 1 2 -0.12 13 1 2 -1.3 2 2 2 3 6 2 2 -0.061 14 2 2 0.66 3 3 2 3 4 3 2 -0.073 6 3 2 -0.61 3 4 2 -0.073 4 4 2 3 12 4 2 2.7 13 4 2 -0.25 5 5 2 3 7 5 2 1.5 11 5 2 -0.15 14 5 2 -0.68 15 5 2 0.47 2 6 2 -0.061 3 6 2 -0.61 6 6 2 3 10 6 2 2 15 6 2 -1.4 5 7 2 1.5 7 7 2 3 11 7 2 -0.079 12 7 2 -0.065 15 7 2 -1.3 8 8 2 3 13 8 2 -0.85 9 9 2 3 6 10 2 2 10 10 2 3 13 10 2 -0.9 15 10 2 -0.85 1 11 2 -0.12 5 11 2 -0.15 7 11 2 -0.079 11 11 2 3 4 12 2 2.7 7 12 2 -0.065 12 12 2 3 14 12 2 -1.2 1 13 2 -1.3 4 13 2 -0.25 8 13 2 -0.85 10 13 2 -0.9 13 13 2 3 16 13 2 -0.84 2 14 2 0.66 5 14 2 -0.68 12 14 2 -1.2 14 14 2 3 5 15 2 0.47 6 15 2 -1.4 7 15 2 -1.3 10 15 2 -0.85 15 15 2 3 13 16 2 -0.84 16 16 2 3 ; param: g := 1 1 4.3 2 1 -2.2 3 1 1.3 4 1 -4.5 5 1 -1.5 6 1 -4.4 7 1 -2.9 8 1 -4.5 1 2 -5 2 2 4.3 3 2 -4.2 4 2 -4.6 5 2 3.7 6 2 5.3 7 2 -5.5 8 2 -5.3 ; param: A := 4 1 1 -0.98 4 2 1 -3 3 3 1 -2.3 1 4 1 1.2 2 4 1 3.9 3 4 1 1.1 1 5 1 1.2 3 5 1 0.48 4 5 1 -0.41 1 7 1 -1.9 4 7 1 -2.9 1 8 1 -3.8 2 2 2 -1.8 3 2 2 -3.7 4 2 2 -1.6 1 4 2 -0.33 4 4 2 -2.5 4 5 2 2.5 1 6 2 1.5 2 7 2 -0.73 2 8 2 1.9 4 8 2 -1.8 ; param : b := 1 1 5.7 2 1 3.3 3 1 6.3 4 1 5.8 1 2 5.7 2 2 3.3 3 2 6.3 4 2 5.8 ; param: N := 2 1 0 3 1 1.1 9 1 7.8 10 1 0 6 2 0 12 2 0 14 2 0 16 2 0 7 3 2.5 9 3 1.3 6 4 0 8 5 0 5 6 0 13 6 0 14 6 0 10 7 0 12 7 0 14 7 0 16 7 0 1 8 0 3 8 0 9 8 3.7 10 8 0 2 9 0 5 9 0 13 9 0 16 9 0 1 10 4.1 6 10 0 7 10 3.6 8 10 0 10 10 7.1 11 10 0 16 10 0 3 11 0 4 11 0 12 11 0 8 12 0 13 12 6.1 6 14 0 9 14 1.3 15 14 0 4 15 0 6 15 0 4 16 0 10 16 0 11 16 0 ; param: M := 1 1 2.3 4 1 0.75 8 1 0.9 9 1 0.63 2 2 1.6 6 2 0.64 7 2 0.18 13 2 0.52 14 2 0.19 1 3 0.56 3 3 3.1 6 3 0.46 7 3 0.86 8 3 0.29 15 3 0.9 3 4 0.23 4 4 0.76 7 4 0.5 5 5 2.5 7 5 0.93 9 5 0.98 13 5 0.38 14 5 0.23 3 6 1 5 6 0.77 6 6 3.9 13 6 0.97 14 6 0.6 15 6 0.55 7 7 2.5 15 7 0.085 16 7 0.77 3 8 0.26 5 8 0.43 8 8 2 9 8 0.54 16 8 0.71 2 9 0.85 3 9 0.38 9 9 3.2 10 9 0.98 1 10 0.76 9 10 0.83 10 10 1.8 1 11 0.9 3 11 0.3 10 11 0.77 11 11 2 12 12 0.042 2 13 0.76 13 13 1.9 6 14 0.1 14 14 1 9 15 0.055 11 15 0.87 15 15 2.3 9 16 0.19 12 16 0.032 15 16 0.78 16 16 1.5 ; param : q := 1 -3.6 2 3.1 3 -3.4 4 4 5 -1.8 6 -0.0018 7 1.5 8 2 9 3.6 10 1.5 11 3.3 12 -2.6 13 2.5 14 -1.7 15 -0.14 16 3.3 ;