# 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 2.9 2 1 1 -0.78 6 1 1 0.0075 10 1 1 -0.28 13 1 1 -0.012 15 1 1 0.48 1 2 1 -0.78 2 2 1 2.9 4 2 1 0.49 6 2 1 0.89 13 2 1 0.59 3 3 1 2.9 10 3 1 -0.25 11 3 1 -0.038 14 3 1 1.2 2 4 1 0.49 4 4 1 0.11 11 4 1 0.056 5 5 1 2.9 7 5 1 2.3 12 5 1 -0.18 1 6 1 0.0075 2 6 1 0.89 6 6 1 2.9 10 6 1 0.52 11 6 1 -1 16 6 1 -0.7 5 7 1 2.3 7 7 1 2.9 16 7 1 0.91 8 8 1 2.9 12 8 1 1.5 9 9 1 2.9 1 10 1 -0.28 3 10 1 -0.25 6 10 1 0.52 10 10 1 2.9 11 10 1 0.67 3 11 1 -0.038 4 11 1 0.056 6 11 1 -1 10 11 1 0.67 11 11 1 2.9 13 11 1 -1.1 15 11 1 -0.078 5 12 1 -0.18 8 12 1 1.5 12 12 1 2.9 13 12 1 -0.7 1 13 1 -0.012 2 13 1 0.59 11 13 1 -1.1 12 13 1 -0.7 13 13 1 2.9 3 14 1 1.2 14 14 1 3.8 1 15 1 0.48 11 15 1 -0.078 15 15 1 2.9 16 15 1 -0.005 6 16 1 -0.7 7 16 1 0.91 15 16 1 -0.005 16 16 1 2.9 1 1 2 3.8 2 1 2 -0.13 5 1 2 -2.6 1 2 2 -0.13 2 2 2 3.8 3 3 2 5.1 5 3 2 1.2 13 3 2 -1.7 4 4 2 3.8 12 4 2 -0.011 13 4 2 -0.26 15 4 2 0.77 1 5 2 -2.6 3 5 2 1.2 5 5 2 3.8 6 5 2 -0.71 7 5 2 0.22 15 5 2 -2.4 16 5 2 0.28 5 6 2 -0.71 6 6 2 3.3 8 6 2 -1.7 12 6 2 0.26 5 7 2 0.22 7 7 2 3.8 15 7 2 -0.54 6 8 2 -1.7 8 8 2 3.8 11 8 2 0.99 9 9 2 3 11 9 2 -0.00082 12 9 2 -0.27 10 10 2 5.7 8 11 2 0.99 9 11 2 -0.00082 11 11 2 3.8 13 11 2 0.68 4 12 2 -0.011 6 12 2 0.26 9 12 2 -0.27 12 12 2 3.8 3 13 2 -1.7 4 13 2 -0.26 11 13 2 0.68 13 13 2 3.8 14 13 2 -0.25 13 14 2 -0.25 14 14 2 3.9 4 15 2 0.77 5 15 2 -2.4 7 15 2 -0.54 15 15 2 3.8 5 16 2 0.28 16 16 2 3.8 ; param: g := 1 1 -2.3 2 1 0.94 3 1 -2.1 4 1 -4.8 5 1 -5.3 6 1 2.3 7 1 -3.7 8 1 -0.8 1 2 1.7 2 2 1.5 3 2 -3.7 4 2 -2.6 5 2 -3.9 6 2 -0.68 7 2 5.1 8 2 -4.3 ; param: A := 2 2 1 -1.2 3 3 1 3.7 1 4 1 1.9 3 4 1 2.6 4 4 1 2.3 3 5 1 -3.2 4 5 1 2.4 3 6 1 -2.9 1 8 1 3.8 2 8 1 -0.96 3 8 1 -3.2 1 1 2 0.28 3 1 2 -3.4 3 2 2 -2.6 4 2 2 -3.2 1 3 2 -1.2 3 3 2 2.8 1 4 2 3.4 4 5 2 0.78 3 6 2 -0.13 3 7 2 3.7 1 8 2 3 ; param : b := 1 1 0.98 2 1 3.5 3 1 0.96 4 1 3.2 1 2 5.5 2 2 3.5 3 2 0.96 4 2 3.2 ; param: N := 2 1 0 4 1 4.3 10 1 0 13 1 7.5 2 2 0 4 2 0 7 2 0 3 3 0 5 3 0 7 3 6.2 10 3 0 11 3 0 13 3 7.5 9 4 0 10 4 0 11 4 0 13 4 0 15 4 1.4 3 5 0 6 5 0.58 9 5 0 10 5 0 11 5 4 13 5 0 3 6 0 14 6 0 11 8 0 3 9 0 8 9 0 1 10 0 1 11 0 7 11 0 15 11 0 1 12 0 5 12 1.3 13 12 0 3 13 6.2 7 14 0 8 14 1.1 11 14 0 13 14 0 2 15 0.01 3 15 3.1 7 15 0 12 15 6.2 13 15 0 10 16 0 ; param: M := 1 1 2.9 3 1 0.81 6 1 0.43 7 1 0.92 15 1 0.69 2 2 2.4 3 2 0.49 8 2 0.8 10 2 0.38 12 2 0.69 3 3 1.5 5 3 0.42 12 3 0.21 16 3 0.14 4 4 0.48 9 4 0.47 1 5 0.56 2 5 0.12 5 5 1.5 10 5 0.65 1 6 0.048 6 6 1.8 10 6 0.99 15 6 0.22 16 6 0.57 4 7 0.071 7 7 1.3 8 8 2.3 10 8 0.59 16 8 0.68 1 9 0.48 3 9 0.002 5 9 6.3e-06 6 9 0.6 8 9 0.61 9 9 1.7 8 10 0.23 10 10 3 13 10 0.27 16 10 0.72 1 11 0.99 7 11 0.31 9 11 0.2 10 11 0.43 11 11 3.4 13 11 0.95 14 11 0.48 5 12 0.11 7 12 0.032 12 12 0.91 13 13 1.6 14 13 0.13 13 14 0.022 14 14 0.62 15 14 0.28 8 15 0.4 15 15 1.2 16 15 0.72 1 16 0.7 3 16 0.2 5 16 0.97 8 16 0.27 13 16 0.35 16 16 2.8 ; param : q := 1 2.3 2 -1.9 3 -0.81 4 4 5 -2.8 6 -2.4 7 -3.1 8 -2.8 9 2.7 10 -3.5 11 -1.8 12 0.95 13 0.68 14 -1.2 15 3.6 16 -1.1 ;