# Size of Some Parameters:
101	10	1000	25	1	12	71	17	4	

# 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 30.0 88.0 30.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 92.0 53.0 43.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 64.0 45.0 30.0 10.0 0.0 0.0 960.0 
2.0 5.0 0.0 27.0 95.0 35.0 10.0 0.0 0.0 960.0 
2.0 6.0 0.0 45.0 20.0 82.0 10.0 0.0 0.0 960.0 
2.0 7.0 0.0 81.0 49.0 58.0 10.0 0.0 0.0 960.0 
2.0 8.0 0.0 18.0 44.0 5.0 10.0 0.0 0.0 960.0 
2.0 9.0 0.0 11.0 8.0 40.0 10.0 0.0 0.0 960.0 
2.0 10.0 0.0 88.0 24.0 58.0 10.0 0.0 0.0 960.0 
2.0 11.0 0.0 48.0 42.0 5.0 10.0 0.0 0.0 960.0 
2.0 12.0 0.0 7.0 15.0 75.0 10.0 0.0 0.0 960.0 
3.0 1.0 1.0 1.0 25.0 85.0 10.0 20.0 591.0 874.0 
3.0 2.0 1.0 2.0 22.0 75.0 10.0 30.0 73.0 350.0 
3.0 3.0 1.0 3.0 22.0 85.0 10.0 10.0 473.0 588.0 
3.0 4.0 1.0 6.0 18.0 75.0 10.0 20.0 249.0 646.0 
3.0 5.0 1.0 8.0 15.0 80.0 10.0 10.0 272.0 581.0 
3.0 6.0 1.0 9.0 10.0 35.0 10.0 20.0 236.0 625.0 
3.0 7.0 1.0 10.0 10.0 40.0 10.0 30.0 470.0 687.0 
3.0 8.0 1.0 13.0 5.0 35.0 10.0 10.0 359.0 911.0 
3.0 9.0 1.0 14.0 5.0 45.0 10.0 10.0 35.0 457.0 
3.0 10.0 1.0 15.0 2.0 40.0 10.0 20.0 39.0 538.0 
3.0 11.0 1.0 16.0 0.0 40.0 10.0 20.0 214.0 415.0 
3.0 12.0 1.0 17.0 0.0 45.0 10.0 20.0 359.0 909.0 
3.0 13.0 1.0 19.0 42.0 10.0 10.0 40.0 205.0 422.0 
3.0 14.0 1.0 21.0 40.0 5.0 10.0 10.0 158.0 391.0 
3.0 15.0 1.0 23.0 38.0 5.0 10.0 30.0 45.0 522.0 
3.0 16.0 1.0 24.0 38.0 15.0 10.0 10.0 598.0 883.0 
3.0 17.0 1.0 25.0 35.0 5.0 10.0 20.0 348.0 904.0 
3.0 18.0 1.0 26.0 95.0 30.0 10.0 30.0 509.0 668.0 
3.0 19.0 1.0 29.0 90.0 35.0 10.0 10.0 131.0 376.0 
3.0 20.0 1.0 31.0 88.0 35.0 10.0 20.0 102.0 347.0 
3.0 21.0 1.0 32.0 87.0 30.0 10.0 10.0 564.0 797.0 
3.0 22.0 1.0 35.0 67.0 85.0 10.0 20.0 396.0 905.0 
3.0 23.0 1.0 36.0 65.0 85.0 10.0 40.0 43.0 712.0 
3.0 24.0 1.0 37.0 65.0 82.0 10.0 10.0 530.0 703.0 
3.0 25.0 1.0 38.0 62.0 80.0 10.0 30.0 131.0 544.0 
3.0 26.0 1.0 39.0 60.0 80.0 10.0 10.0 36.0 800.0 
3.0 27.0 1.0 40.0 60.0 85.0 10.0 30.0 233.0 544.0 
3.0 28.0 1.0 42.0 55.0 80.0 10.0 10.0 33.0 624.0 
3.0 29.0 1.0 43.0 55.0 85.0 10.0 20.0 549.0 718.0 
3.0 30.0 1.0 44.0 55.0 82.0 10.0 10.0 62.0 491.0 
3.0 31.0 1.0 46.0 18.0 80.0 10.0 10.0 435.0 662.0 
3.0 32.0 1.0 49.0 42.0 12.0 10.0 10.0 423.0 576.0 
3.0 33.0 1.0 50.0 72.0 35.0 10.0 30.0 471.0 662.0 
3.0 34.0 1.0 53.0 20.0 50.0 10.0 5.0 284.0 585.0 
3.0 35.0 1.0 54.0 55.0 60.0 10.0 16.0 568.0 753.0 
3.0 36.0 1.0 55.0 30.0 60.0 10.0 16.0 421.0 896.0 
3.0 37.0 1.0 56.0 50.0 35.0 10.0 19.0 404.0 829.0 
3.0 38.0 1.0 57.0 30.0 25.0 10.0 23.0 347.0 566.0 
3.0 39.0 1.0 58.0 15.0 10.0 10.0 20.0 380.0 902.0 
3.0 40.0 1.0 59.0 10.0 20.0 10.0 19.0 42.0 466.0 
3.0 41.0 1.0 61.0 45.0 65.0 10.0 9.0 230.0 405.0 
3.0 42.0 1.0 62.0 65.0 35.0 10.0 3.0 29.0 587.0 
3.0 43.0 1.0 63.0 65.0 20.0 10.0 6.0 39.0 353.0 
3.0 44.0 1.0 65.0 35.0 40.0 10.0 16.0 11.0 570.0 
3.0 45.0 1.0 66.0 41.0 37.0 10.0 16.0 423.0 828.0 
3.0 46.0 1.0 67.0 64.0 42.0 10.0 9.0 112.0 543.0 
3.0 47.0 1.0 69.0 31.0 52.0 10.0 27.0 9.0 532.0 
3.0 48.0 1.0 70.0 35.0 69.0 10.0 23.0 211.0 930.0 
3.0 49.0 1.0 71.0 65.0 55.0 10.0 14.0 201.0 400.0 
3.0 50.0 1.0 72.0 63.0 65.0 10.0 8.0 27.0 382.0 
3.0 51.0 1.0 75.0 5.0 5.0 10.0 16.0 183.0 400.0 
3.0 52.0 1.0 76.0 60.0 12.0 10.0 31.0 162.0 493.0 
3.0 53.0 1.0 77.0 23.0 3.0 10.0 7.0 360.0 900.0 
3.0 54.0 1.0 78.0 8.0 56.0 10.0 27.0 195.0 654.0 
3.0 55.0 1.0 79.0 6.0 68.0 10.0 30.0 258.0 565.0 
3.0 56.0 1.0 80.0 47.0 47.0 10.0 13.0 426.0 942.0 
3.0 57.0 1.0 82.0 27.0 43.0 10.0 9.0 85.0 338.0 
3.0 58.0 1.0 83.0 37.0 31.0 10.0 14.0 19.0 326.0 
3.0 59.0 1.0 85.0 63.0 23.0 10.0 2.0 318.0 489.0 
3.0 60.0 1.0 86.0 21.0 24.0 10.0 28.0 332.0 485.0 
3.0 61.0 1.0 87.0 12.0 24.0 10.0 13.0 365.0 472.0 
3.0 62.0 1.0 89.0 67.0 5.0 10.0 25.0 565.0 897.0 
3.0 63.0 1.0 90.0 37.0 47.0 10.0 6.0 324.0 513.0 
3.0 64.0 1.0 91.0 49.0 42.0 10.0 13.0 651.0 906.0 
3.0 65.0 1.0 93.0 61.0 52.0 10.0 3.0 298.0 928.0 
3.0 66.0 1.0 94.0 57.0 48.0 10.0 23.0 385.0 518.0 
3.0 67.0 1.0 95.0 56.0 37.0 10.0 6.0 20.0 299.0 
3.0 68.0 1.0 96.0 55.0 54.0 10.0 26.0 538.0 705.0 
3.0 69.0 1.0 98.0 26.0 52.0 10.0 9.0 109.0 354.0 
3.0 70.0 1.0 99.0 26.0 35.0 10.0 15.0 170.0 565.0 
3.0 71.0 1.0 100.0 31.0 67.0 10.0 3.0 262.0 930.0 
3.0 72.0 2.0 4.0 20.0 80.0 10.0 24.0 418.0 913.0 
3.0 73.0 2.0 5.0 20.0 85.0 10.0 4.0 40.0 390.0 
3.0 74.0 2.0 12.0 8.0 45.0 10.0 6.0 166.0 399.0 
3.0 75.0 2.0 20.0 42.0 15.0 10.0 6.0 511.0 682.0 
3.0 76.0 2.0 22.0 40.0 15.0 10.0 20.0 263.0 606.0 
3.0 77.0 2.0 28.0 92.0 30.0 10.0 4.0 68.0 349.0 
3.0 78.0 2.0 33.0 85.0 25.0 10.0 2.0 51.0 673.0 
3.0 79.0 2.0 34.0 85.0 35.0 10.0 4.0 462.0 631.0 
3.0 80.0 2.0 41.0 58.0 75.0 10.0 2.0 207.0 664.0 
3.0 81.0 2.0 47.0 2.0 45.0 10.0 2.0 38.0 366.0 
3.0 82.0 2.0 51.0 55.0 20.0 10.0 1.0 281.0 490.0 
3.0 83.0 2.0 52.0 25.0 30.0 10.0 1.0 109.0 360.0 
3.0 84.0 2.0 60.0 15.0 60.0 10.0 3.0 613.0 894.0 
3.0 85.0 2.0 68.0 40.0 60.0 10.0 1.0 441.0 902.0 
3.0 86.0 2.0 73.0 2.0 60.0 10.0 1.0 255.0 436.0 
3.0 87.0 2.0 84.0 57.0 29.0 10.0 2.0 304.0 605.0 
3.0 88.0 2.0 97.0 4.0 18.0 10.0 11.0 546.0 667.0 

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

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

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

# wp Matrix:
4 4 2 2 
