# Size of Some Parameters:
101	10	1000	25	1	20	54	26	2	

# Data Matrix:
1.0 1.0 0.0 0.0 40.0 50.0 0.0 0.0 0.0 960.0 
2.0 1.0 0.0 74.0 20.0 20.0 10.0 0.0 0.0 960.0 
2.0 2.0 0.0 13.0 5.0 35.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 34.0 85.0 35.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 86.0 21.0 24.0 10.0 0.0 0.0 960.0 
2.0 5.0 0.0 91.0 49.0 42.0 10.0 0.0 0.0 960.0 
2.0 6.0 0.0 79.0 6.0 68.0 10.0 0.0 0.0 960.0 
2.0 7.0 0.0 23.0 38.0 5.0 10.0 0.0 0.0 960.0 
2.0 8.0 0.0 4.0 20.0 80.0 10.0 0.0 0.0 960.0 
2.0 9.0 0.0 88.0 24.0 58.0 10.0 0.0 0.0 960.0 
2.0 10.0 0.0 36.0 65.0 85.0 10.0 0.0 0.0 960.0 
2.0 11.0 0.0 66.0 41.0 37.0 10.0 0.0 0.0 960.0 
2.0 12.0 0.0 25.0 35.0 5.0 10.0 0.0 0.0 960.0 
2.0 13.0 0.0 68.0 40.0 60.0 10.0 0.0 0.0 960.0 
2.0 14.0 0.0 56.0 50.0 35.0 10.0 0.0 0.0 960.0 
2.0 15.0 0.0 67.0 64.0 42.0 10.0 0.0 0.0 960.0 
2.0 16.0 0.0 87.0 12.0 24.0 10.0 0.0 0.0 960.0 
2.0 17.0 0.0 97.0 4.0 18.0 10.0 0.0 0.0 960.0 
2.0 18.0 0.0 98.0 26.0 52.0 10.0 0.0 0.0 960.0 
2.0 19.0 0.0 15.0 2.0 40.0 10.0 0.0 0.0 960.0 
2.0 20.0 0.0 17.0 0.0 45.0 10.0 0.0 0.0 960.0 
3.0 1.0 1.0 1.0 25.0 85.0 10.0 20.0 0.0 911.0 
3.0 2.0 1.0 3.0 22.0 85.0 10.0 10.0 0.0 910.0 
3.0 3.0 1.0 5.0 20.0 85.0 10.0 20.0 0.0 909.0 
3.0 4.0 1.0 6.0 18.0 75.0 10.0 20.0 388.0 508.0 
3.0 5.0 1.0 7.0 15.0 75.0 10.0 20.0 0.0 914.0 
3.0 6.0 1.0 8.0 15.0 80.0 10.0 10.0 367.0 487.0 
3.0 7.0 1.0 9.0 10.0 35.0 10.0 20.0 371.0 491.0 
3.0 8.0 1.0 10.0 10.0 40.0 10.0 30.0 519.0 639.0 
3.0 9.0 1.0 11.0 8.0 40.0 10.0 40.0 195.0 315.0 
3.0 10.0 1.0 14.0 5.0 45.0 10.0 10.0 35.0 155.0 
3.0 11.0 1.0 18.0 44.0 5.0 10.0 20.0 335.0 455.0 
3.0 12.0 1.0 19.0 42.0 10.0 10.0 40.0 254.0 374.0 
3.0 13.0 1.0 20.0 42.0 15.0 10.0 10.0 537.0 657.0 
3.0 14.0 1.0 21.0 40.0 5.0 10.0 10.0 0.0 905.0 
3.0 15.0 1.0 22.0 40.0 15.0 10.0 40.0 375.0 495.0 
3.0 16.0 1.0 24.0 38.0 15.0 10.0 10.0 681.0 801.0 
3.0 17.0 1.0 26.0 95.0 30.0 10.0 30.0 0.0 891.0 
3.0 18.0 1.0 28.0 92.0 30.0 10.0 10.0 149.0 269.0 
3.0 19.0 1.0 30.0 88.0 30.0 10.0 10.0 246.0 366.0 
3.0 20.0 1.0 32.0 87.0 30.0 10.0 10.0 621.0 741.0 
3.0 21.0 1.0 35.0 67.0 85.0 10.0 20.0 657.0 777.0 
3.0 22.0 1.0 37.0 65.0 82.0 10.0 10.0 0.0 909.0 
3.0 23.0 1.0 38.0 62.0 80.0 10.0 30.0 278.0 398.0 
3.0 24.0 1.0 39.0 60.0 80.0 10.0 10.0 64.0 184.0 
3.0 25.0 1.0 41.0 58.0 75.0 10.0 20.0 376.0 496.0 
3.0 26.0 1.0 43.0 55.0 85.0 10.0 20.0 574.0 694.0 
3.0 27.0 1.0 44.0 55.0 82.0 10.0 10.0 217.0 337.0 
3.0 28.0 1.0 45.0 20.0 82.0 10.0 10.0 37.0 157.0 
3.0 29.0 1.0 47.0 2.0 45.0 10.0 10.0 105.0 225.0 
3.0 30.0 1.0 49.0 42.0 12.0 10.0 10.0 440.0 560.0 
3.0 31.0 1.0 50.0 72.0 35.0 10.0 30.0 0.0 914.0 
3.0 32.0 1.0 52.0 25.0 30.0 10.0 3.0 0.0 925.0 
3.0 33.0 1.0 53.0 20.0 50.0 10.0 5.0 375.0 495.0 
3.0 34.0 1.0 54.0 55.0 60.0 10.0 16.0 601.0 721.0 
3.0 35.0 1.0 55.0 30.0 60.0 10.0 16.0 599.0 719.0 
3.0 36.0 1.0 57.0 30.0 25.0 10.0 23.0 397.0 517.0 
3.0 37.0 1.0 62.0 65.0 35.0 10.0 3.0 167.0 287.0 
3.0 38.0 1.0 65.0 35.0 40.0 10.0 16.0 11.0 131.0 
3.0 39.0 1.0 69.0 31.0 52.0 10.0 27.0 157.0 277.0 
3.0 40.0 1.0 70.0 35.0 69.0 10.0 23.0 810.0 930.0 
3.0 41.0 1.0 71.0 65.0 55.0 10.0 14.0 241.0 361.0 
3.0 42.0 1.0 72.0 63.0 65.0 10.0 8.0 0.0 922.0 
3.0 43.0 1.0 73.0 2.0 60.0 10.0 5.0 286.0 406.0 
3.0 44.0 1.0 76.0 60.0 12.0 10.0 31.0 268.0 388.0 
3.0 45.0 1.0 78.0 8.0 56.0 10.0 27.0 365.0 485.0 
3.0 46.0 1.0 82.0 27.0 43.0 10.0 9.0 0.0 935.0 
3.0 47.0 1.0 83.0 37.0 31.0 10.0 14.0 0.0 930.0 
3.0 48.0 1.0 84.0 57.0 29.0 10.0 18.0 395.0 515.0 
3.0 49.0 1.0 85.0 63.0 23.0 10.0 2.0 0.0 914.0 
3.0 50.0 1.0 89.0 67.0 5.0 10.0 25.0 713.0 833.0 
3.0 51.0 1.0 92.0 53.0 43.0 10.0 14.0 14.0 134.0 
3.0 52.0 1.0 93.0 61.0 52.0 10.0 3.0 808.0 928.0 
3.0 53.0 1.0 94.0 57.0 48.0 10.0 23.0 0.0 932.0 
3.0 54.0 1.0 99.0 26.0 35.0 10.0 15.0 308.0 428.0 
3.0 55.0 2.0 2.0 22.0 75.0 10.0 2.0 0.0 919.0 
3.0 56.0 2.0 12.0 8.0 45.0 10.0 16.0 0.0 917.0 
3.0 57.0 2.0 16.0 0.0 40.0 10.0 6.0 255.0 375.0 
3.0 58.0 2.0 27.0 95.0 35.0 10.0 8.0 146.0 266.0 
3.0 59.0 2.0 29.0 90.0 35.0 10.0 8.0 194.0 314.0 
3.0 60.0 2.0 31.0 88.0 35.0 10.0 10.0 0.0 899.0 
3.0 61.0 2.0 33.0 85.0 25.0 10.0 4.0 80.0 200.0 
3.0 62.0 2.0 40.0 60.0 85.0 10.0 28.0 329.0 449.0 
3.0 63.0 2.0 42.0 55.0 80.0 10.0 6.0 33.0 153.0 
3.0 64.0 2.0 46.0 18.0 80.0 10.0 2.0 489.0 609.0 
3.0 65.0 2.0 48.0 42.0 5.0 10.0 8.0 0.0 904.0 
3.0 66.0 2.0 51.0 55.0 20.0 10.0 3.0 326.0 446.0 
3.0 67.0 2.0 58.0 15.0 10.0 10.0 16.0 782.0 902.0 
3.0 68.0 2.0 59.0 10.0 20.0 10.0 13.0 0.0 907.0 
3.0 69.0 2.0 60.0 15.0 60.0 10.0 9.0 694.0 814.0 
3.0 70.0 2.0 61.0 45.0 65.0 10.0 3.0 258.0 378.0 
3.0 71.0 2.0 63.0 65.0 20.0 10.0 4.0 39.0 159.0 
3.0 72.0 2.0 64.0 45.0 30.0 10.0 7.0 191.0 311.0 
3.0 73.0 2.0 75.0 5.0 5.0 10.0 12.0 0.0 892.0 
3.0 74.0 2.0 77.0 23.0 3.0 10.0 1.0 764.0 884.0 
3.0 75.0 2.0 80.0 47.0 47.0 10.0 9.0 822.0 942.0 
3.0 76.0 2.0 81.0 49.0 58.0 10.0 2.0 355.0 475.0 
3.0 77.0 2.0 90.0 37.0 47.0 10.0 2.0 359.0 479.0 
3.0 78.0 2.0 95.0 56.0 37.0 10.0 2.0 0.0 929.0 
3.0 79.0 2.0 96.0 55.0 54.0 10.0 8.0 0.0 934.0 
3.0 80.0 2.0 100.0 31.0 67.0 10.0 1.0 810.0 930.0 

# avp Matrix:
0 1 
0 1 
0 1 
1 0 
0 1 
1 0 
0 1 
1 1 
1 0 
1 0 
1 0 
1 1 
0 1 
1 0 
1 0 
1 1 
1 1 
1 0 
0 1 
1 0 

# bcp Matrix:
1 1 
0 1 
1 1 
1 1 
0 1 
1 1 
1 1 
0 1 
1 0 
1 1 
0 1 
1 0 
1 0 
1 1 
0 1 
0 1 
0 1 
0 1 
0 1 
1 1 
1 0 
1 1 
0 1 
1 0 
1 1 
0 1 

# qcp Matrix:
5 4 
0 2 
3 1 
2 2 
0 1 
1 3 
1 1 
0 1 
1 0 
1 2 
0 1 
4 0 
1 0 
1 1 
0 4 
0 3 
0 1 
0 5 
0 2 
1 1 
1 0 
1 2 
0 2 
1 0 
4 1 
0 1 

# wp Matrix:
4 2 
