# 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 3.3 3 1 1 -0.12 15 1 1 0.49 2 2 1 3.3 3 2 1 -0.35 9 2 1 1.3 1 3 1 -0.12 2 3 1 -0.35 3 3 1 3.3 5 3 1 -0.4 14 3 1 -1 15 3 1 0.33 4 4 1 3.3 10 4 1 0.32 11 4 1 -0.25 3 5 1 -0.4 5 5 1 3.6 14 5 1 0.0097 15 5 1 -0.94 16 5 1 0.071 6 6 1 3.3 9 6 1 0.26 16 6 1 1.6 7 7 1 3.3 9 7 1 -0.58 8 8 1 3.3 14 8 1 -1.3 15 8 1 1.8 2 9 1 1.3 6 9 1 0.26 7 9 1 -0.58 9 9 1 2.3 4 10 1 0.32 10 10 1 3.3 12 10 1 -0.26 14 10 1 -2.6 4 11 1 -0.25 11 11 1 3.3 16 11 1 0.17 10 12 1 -0.26 12 12 1 3.3 14 12 1 1.1 13 13 1 3.3 3 14 1 -1 5 14 1 0.0097 8 14 1 -1.3 10 14 1 -2.6 12 14 1 1.1 14 14 1 3.3 15 14 1 -1.5 1 15 1 0.49 3 15 1 0.33 5 15 1 -0.94 8 15 1 1.8 14 15 1 -1.5 15 15 1 3.3 5 16 1 0.071 6 16 1 1.6 11 16 1 0.17 16 16 1 3.3 1 1 2 3.8 3 1 2 -1.2 6 1 2 0.11 13 1 2 0.84 2 2 2 3.8 8 2 2 1.2 12 2 2 -0.72 1 3 2 -1.2 3 3 2 3.8 4 3 2 1.3 6 3 2 0.31 8 3 2 0.0089 15 3 2 -0.2 3 4 2 1.3 4 4 2 3.8 6 4 2 -0.14 9 4 2 0.14 14 4 2 -0.19 5 5 2 3.8 6 5 2 1.1 1 6 2 0.11 3 6 2 0.31 4 6 2 -0.14 5 6 2 1.1 6 6 2 3.8 8 6 2 2.2 13 6 2 -0.66 14 6 2 -1.7 15 6 2 -0.57 7 7 2 3.8 2 8 2 1.2 3 8 2 0.0089 6 8 2 2.2 8 8 2 3.8 9 8 2 0.54 11 8 2 -1.9 4 9 2 0.14 8 9 2 0.54 9 9 2 2.7 13 9 2 -0.91 14 9 2 -0.72 10 10 2 3.8 14 10 2 -0.28 8 11 2 -1.9 11 11 2 3.8 2 12 2 -0.72 12 12 2 3.8 16 12 2 1.5 1 13 2 0.84 6 13 2 -0.66 9 13 2 -0.91 13 13 2 3.8 4 14 2 -0.19 6 14 2 -1.7 9 14 2 -0.72 10 14 2 -0.28 14 14 2 3.8 3 15 2 -0.2 6 15 2 -0.57 15 15 2 3.8 12 16 2 1.5 16 16 2 4.4 ; param: g := 1 1 5.5 2 1 4.4 3 1 1.3 4 1 5.2 5 1 3.8 6 1 5 7 1 5.4 8 1 -5.6 1 2 -4.3 2 2 -5.6 3 2 -4.7 4 2 1.4 5 2 -3.6 6 2 -4.2 7 2 -4.1 8 2 1.3 ; param: A := 3 1 1 -0.23 4 1 1 -2.2 1 2 1 0.23 3 2 1 -2 1 3 1 3.3 3 4 1 2.5 4 4 1 -1.7 1 5 1 -0.52 1 6 1 -2.2 4 7 1 1.2 1 1 2 -4 3 1 2 -0.41 2 2 2 -3.2 1 5 2 2.9 2 6 2 -2 3 6 2 0.15 2 7 2 2.9 4 7 2 0.76 1 8 2 -2.1 4 8 2 -0.11 ; param : b := 1 1 6 2 1 0.044 3 1 2.1 4 1 1.3 1 2 6 2 2 0.044 3 2 2.1 4 2 1.3 ; param: N := 3 1 0 9 1 0 11 1 3.3 3 2 0 10 2 0 3 3 0 4 3 0 11 3 0 14 3 3 16 3 0 4 4 4.5 7 4 0 11 4 0 14 4 0 8 5 0 16 5 0 12 6 0 7 7 0 10 7 0.47 2 8 0 5 8 0 6 8 0 10 8 0 14 8 0 2 9 0 7 9 0.37 9 9 0 16 9 0 5 10 0 8 10 0 7 11 0 8 11 0 16 11 0 7 12 0 8 12 0.088 9 12 0.55 1 13 0 4 13 0 9 13 0 7 14 0 10 14 0 16 14 0 7 15 1.5 13 15 0 16 15 0 12 16 5.6 ; param: M := 1 1 2.5 5 1 0.073 10 1 0.61 1 2 0.43 2 2 2.2 11 2 0.45 14 2 0.34 15 2 0.96 1 3 0.19 3 3 0.5 6 3 0.038 7 3 0.27 4 4 2.1 6 4 0.71 7 4 0.37 10 4 0.99 5 5 1.7 14 5 0.098 5 6 0.08 6 6 2.2 8 6 0.37 12 6 0.37 14 6 0.46 7 7 0.89 13 7 0.0014 1 8 0.94 2 8 0.78 8 8 2.1 16 8 0.22 1 9 0.93 5 9 0.63 6 9 0.43 8 9 0.87 9 9 3.1 10 9 0.2 8 10 0.17 10 10 2.4 14 10 0.69 6 11 0.51 8 11 0.48 9 11 0.96 11 11 2 9 12 0.26 12 12 1 13 12 0.76 2 13 0.43 3 13 0.49 5 13 0.95 6 13 0.4 8 13 0.096 9 13 0.39 13 13 3.4 16 13 0.65 6 14 0.079 11 14 0.17 14 14 1.6 7 15 0.25 9 15 0.19 10 15 0.57 15 15 1.2 16 15 0.18 8 16 0.074 16 16 1.1 ; param : q := 1 2.5 2 2.8 3 -2 4 -3.9 5 0.54 6 -0.34 7 -1.9 8 0.1 9 -0.43 10 3.2 11 -3.6 12 -1 13 3.3 14 0.22 15 1 16 -3.7 ;