# 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 3.1 5 1 1 -0.17 12 1 1 -2.4 13 1 1 -0.67 14 1 1 -0.59 2 2 1 3.1 5 2 1 1.1 7 2 1 0.47 14 2 1 0.7 3 3 1 3.1 16 3 1 -0.32 4 4 1 3.1 1 5 1 -0.17 2 5 1 1.1 5 5 1 3.1 8 5 1 -0.33 6 6 1 3.1 14 6 1 0.74 2 7 1 0.47 7 7 1 3.1 12 7 1 -0.048 5 8 1 -0.33 8 8 1 3.1 10 8 1 0.81 11 8 1 0.44 12 8 1 1.3 14 8 1 0.33 9 9 1 3.1 11 9 1 -1.1 16 9 1 -1.8 8 10 1 0.81 10 10 1 3.1 11 10 1 0.38 12 10 1 -0.5 8 11 1 0.44 9 11 1 -1.1 10 11 1 0.38 11 11 1 3.1 14 11 1 -0.65 1 12 1 -2.4 7 12 1 -0.048 8 12 1 1.3 10 12 1 -0.5 12 12 1 3.1 13 12 1 1.3 14 12 1 -0.15 1 13 1 -0.67 12 13 1 1.3 13 13 1 3.1 1 14 1 -0.59 2 14 1 0.7 6 14 1 0.74 8 14 1 0.33 11 14 1 -0.65 12 14 1 -0.15 14 14 1 3.1 15 15 1 3.1 16 15 1 0.28 3 16 1 -0.32 9 16 1 -1.8 15 16 1 0.28 16 16 1 3.1 1 1 2 2.7 7 1 2 0.81 10 1 2 -0.76 13 1 2 -0.21 14 1 2 -0.57 2 2 2 3.8 10 2 2 1.6 14 2 2 -0.78 3 3 2 3.8 4 3 2 -1.1 3 4 2 -1.1 4 4 2 3.8 7 4 2 1.6 8 4 2 1.3 5 5 2 3.8 13 5 2 -0.98 6 6 2 3.8 7 6 2 -1.1 8 6 2 0.081 10 6 2 -0.2 11 6 2 1.1 1 7 2 0.81 4 7 2 1.6 6 7 2 -1.1 7 7 2 4.6 8 7 2 -1.3 10 7 2 -0.51 15 7 2 -2 16 7 2 1.9 4 8 2 1.3 6 8 2 0.081 7 8 2 -1.3 8 8 2 3.8 11 8 2 -0.41 12 8 2 -0.91 9 9 2 3.8 11 9 2 1.7 14 9 2 0.041 1 10 2 -0.76 2 10 2 1.6 6 10 2 -0.2 7 10 2 -0.51 10 10 2 3.8 14 10 2 0.31 6 11 2 1.1 8 11 2 -0.41 9 11 2 1.7 11 11 2 3.8 8 12 2 -0.91 12 12 2 3.8 1 13 2 -0.21 5 13 2 -0.98 13 13 2 3.8 1 14 2 -0.57 2 14 2 -0.78 9 14 2 0.041 10 14 2 0.31 14 14 2 3.8 7 15 2 -2 15 15 2 3.8 7 16 2 1.9 16 16 2 3.8 ; param: g := 1 1 4.6 2 1 3.6 3 1 3.8 4 1 -5.4 5 1 3.5 6 1 -5 7 1 -4.3 8 1 -1.1 1 2 4.6 2 2 0.75 3 2 3.1 4 2 1.6 5 2 -3.3 6 2 -3.3 7 2 -1 8 2 -0.0067 ; param: A := 1 1 1 0.43 2 2 1 -0.71 3 2 1 -3.3 4 2 1 1.9 1 4 1 -1.9 1 5 1 3.3 1 7 1 2.2 3 7 1 -0.36 3 8 1 -0.59 4 8 1 1.2 2 2 2 2 3 2 2 -2.1 4 2 2 3.9 1 3 2 3 3 3 2 2.2 4 3 2 3.8 1 4 2 1.5 3 5 2 0.55 3 6 2 2.2 1 7 2 2.3 3 7 2 3.4 4 7 2 3.3 ; param : b := 1 1 6.5 2 1 5.6 3 1 6.9 4 1 3.4 1 2 6.7 2 2 5.6 3 2 6.9 4 2 11 ; param: N := 13 1 0 4 2 0 6 2 0 15 2 0 2 3 0 3 3 0 11 3 0 16 3 0 7 4 0 8 4 0 9 4 0 13 4 0 15 4 1.4 1 5 0 8 5 0 11 5 0 12 5 0 1 6 0 3 6 0 5 6 3.5 13 6 0 6 7 3.4 9 7 0 14 7 0 16 7 0 6 8 0 11 8 0 9 9 0 13 9 0 10 10 0 16 10 2.1 10 11 0 15 11 0 10 12 7.9 13 12 5.5 1 13 0 8 13 0 11 13 0 13 13 0 14 13 0 2 14 0 5 14 0 9 14 1.3 11 14 0 3 15 0 5 15 0 7 15 0 8 15 6.4 9 16 0 ; param: M := 1 1 1.8 13 1 0.54 15 1 0.92 2 2 1.7 9 2 0.45 10 2 0.59 13 2 0.064 14 2 0.51 15 2 0.056 3 3 0.98 4 3 0.15 4 4 0.69 11 4 0.37 5 5 1.9 8 5 0.5 3 6 0.97 6 6 2.3 8 6 0.57 13 6 0.71 5 7 0.2 6 7 0.83 7 7 1.6 10 7 0.52 8 8 1.6 13 8 0.52 14 8 0.34 15 8 0.55 1 9 0.18 9 9 1.3 8 10 0.044 10 10 2.2 13 10 0.88 11 11 1.1 13 11 0.9 16 11 0.21 1 12 0.94 5 12 0.53 6 12 0.066 12 12 1.8 15 12 0.29 4 13 0.53 13 13 4.5 9 14 0.18 10 14 0.38 14 14 1.6 15 14 0.99 5 15 0.94 9 15 0.084 14 15 0.11 15 15 2.8 1 16 0.63 5 16 0.24 7 16 0.093 8 16 0.52 9 16 0.61 10 16 0.67 13 16 0.91 16 16 3.7 ; param : q := 1 2.1 2 3.9 3 -1.6 4 0.82 5 2.8 6 -2.1 7 -2.3 8 2.1 9 3.5 10 -3.3 11 3.6 12 3.3 13 -2.8 14 -0.42 15 1.2 16 -2 ;