# 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 7 1 1 0.58 2 2 1 2.6 5 2 1 1.4 6 2 1 -0.35 10 2 1 1.1 11 2 1 -1 16 2 1 -0.23 3 3 1 2.6 7 3 1 -0.18 9 3 1 -0.26 13 3 1 0.38 4 4 1 2.6 5 4 1 0.62 6 4 1 -0.02 13 4 1 -1 2 5 1 1.4 4 5 1 0.62 5 5 1 2.6 6 5 1 4.3e-05 15 5 1 0.04 2 6 1 -0.35 4 6 1 -0.02 5 6 1 4.3e-05 6 6 1 2.6 7 6 1 0.57 1 7 1 0.58 3 7 1 -0.18 6 7 1 0.57 7 7 1 2.6 12 7 1 -0.37 8 8 1 2.6 10 8 1 0.31 12 8 1 0.73 14 8 1 -1.9 16 8 1 -0.38 3 9 1 -0.26 9 9 1 3.2 2 10 1 1.1 8 10 1 0.31 10 10 1 2.6 11 10 1 0.68 2 11 1 -1 10 11 1 0.68 11 11 1 2.6 7 12 1 -0.37 8 12 1 0.73 12 12 1 2.6 3 13 1 0.38 4 13 1 -1 13 13 1 2.6 14 13 1 0.9 8 14 1 -1.9 13 14 1 0.9 14 14 1 1.9 5 15 1 0.04 15 15 1 2.6 2 16 1 -0.23 8 16 1 -0.38 16 16 1 2.6 1 1 2 2.5 9 1 2 -0.64 10 1 2 1.1 12 1 2 0.21 13 1 2 -1 14 1 2 -0.13 2 2 2 2.5 14 2 2 0.57 3 3 2 2.5 6 3 2 0.39 8 3 2 -1.2 4 4 2 2.5 12 4 2 0.23 13 4 2 0.088 15 4 2 0.33 16 4 2 -0.17 5 5 2 2.5 12 5 2 -0.27 16 5 2 -2.2 3 6 2 0.39 6 6 2 2.5 9 6 2 0.24 7 7 2 2.5 8 7 2 -0.52 9 7 2 -0.56 14 7 2 0.021 15 7 2 0.44 3 8 2 -1.2 7 8 2 -0.52 8 8 2 2.5 9 8 2 -1 14 8 2 -0.99 1 9 2 -0.64 6 9 2 0.24 7 9 2 -0.56 8 9 2 -1 9 9 2 2.5 14 9 2 0.8 1 10 2 1.1 10 10 2 2.5 11 11 2 2.5 12 11 2 0.99 13 11 2 -0.74 1 12 2 0.21 4 12 2 0.23 5 12 2 -0.27 11 12 2 0.99 12 12 2 2.5 14 12 2 -0.82 1 13 2 -1 4 13 2 0.088 11 13 2 -0.74 13 13 2 2.5 1 14 2 -0.13 2 14 2 0.57 7 14 2 0.021 8 14 2 -0.99 9 14 2 0.8 12 14 2 -0.82 14 14 2 2.5 16 14 2 0.94 4 15 2 0.33 7 15 2 0.44 15 15 2 2.5 4 16 2 -0.17 5 16 2 -2.2 14 16 2 0.94 16 16 2 2.5 ; param: g := 1 1 0.87 2 1 -4.1 3 1 5.3 4 1 3.9 5 1 -4.1 6 1 -5.5 7 1 -1.9 8 1 -4.7 1 2 2.4 2 2 -5.7 3 2 -3.7 4 2 2.1 5 2 -1.8 6 2 -5.2 7 2 -4.3 8 2 5.1 ; param: A := 4 1 1 -1.4 4 3 1 -3.7 3 4 1 -3.7 1 5 1 -0.47 2 5 1 0.018 3 5 1 -3.6 4 5 1 -2 2 6 1 1.9 3 6 1 0.18 1 8 1 -2.8 3 2 2 -2 4 3 2 2.9 3 4 2 1.2 2 5 2 -2.2 3 5 2 -4 3 6 2 3.5 4 6 2 -1.8 2 7 2 -2.9 3 7 2 -1.8 2 8 2 3.2 ; param : b := 1 1 7.6 2 1 4.1 3 1 0.98 4 1 3.3 1 2 7.6 2 2 4.1 3 2 0.98 4 2 3.3 ; param: N := 5 2 0 6 2 0 7 2 0 8 2 0 11 2 0 14 2 0 16 2 0 1 3 0 4 3 0 8 4 0 15 4 0 2 6 0 10 6 0 13 6 0 2 7 0 5 7 0 7 7 0 12 7 0 15 7 0 7 8 0 8 8 6.7 9 8 1.6 10 8 3.5 13 8 4.8 14 8 0 7 10 0 8 10 6.3 3 11 0 10 11 0 14 11 5.2 2 12 0 5 12 1.2 6 12 7.5 7 12 0 15 12 0 16 12 7.7 3 13 0 14 13 0 6 14 0 9 14 0 1 15 0 3 15 0 13 15 0 13 16 0 ; param: M := 1 1 2.9 5 1 0.63 1 2 0.84 2 2 1.1 1 3 0.6 3 3 1.7 8 3 0.44 10 3 0.59 2 4 0.67 4 4 2.4 7 4 0.58 11 4 0.69 15 4 0.48 5 5 1.7 8 5 0.18 5 6 0.45 6 6 2.2 9 6 0.092 14 6 0.48 2 7 0.39 7 7 1.7 8 8 0.77 11 8 0.49 14 8 0.27 1 9 0.62 7 9 0.06 9 9 2 14 9 0.95 3 10 0.87 6 10 0.35 9 10 0.9 10 10 2.4 14 10 0.24 1 11 0.84 6 11 0.86 9 11 0.99 11 11 2.8 15 11 0.13 6 12 0.37 7 12 0.74 12 12 1.8 13 12 0.69 13 13 0.9 3 14 0.67 4 14 4e-05 5 14 0.57 7 14 0.28 11 14 0.57 12 14 0.43 13 14 0.2 14 14 2.9 3 15 0.12 4 15 0.68 14 15 0.95 15 15 2.7 16 15 0.96 5 16 0.032 6 16 0.66 10 16 0.033 11 16 0.9 16 16 1.6 ; param : q := 1 2.9 2 -2.3 3 -3.9 4 2.3 5 -3.6 6 3.7 7 1.1 8 0.59 9 -2.9 10 -3 11 2.6 12 0.015 13 1.2 14 0.04 15 0.21 16 -3.1 ;