# Size of Some Parameters:
51	10	1000	25	1	12	19	19	3	

# 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 38.0 62.0 80.0 10.0 0.0 0.0 960.0 
2.0 2.0 0.0 15.0 2.0 40.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 47.0 2.0 45.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 33.0 85.0 25.0 10.0 0.0 0.0 960.0 
2.0 5.0 0.0 14.0 5.0 45.0 10.0 0.0 0.0 960.0 
2.0 6.0 0.0 23.0 38.0 5.0 10.0 0.0 0.0 960.0 
2.0 7.0 0.0 41.0 58.0 75.0 10.0 0.0 0.0 960.0 
2.0 8.0 0.0 9.0 10.0 35.0 10.0 0.0 0.0 960.0 
2.0 9.0 0.0 6.0 18.0 75.0 10.0 0.0 0.0 960.0 
2.0 10.0 0.0 45.0 20.0 82.0 10.0 0.0 0.0 960.0 
2.0 11.0 0.0 25.0 35.0 5.0 10.0 0.0 0.0 960.0 
2.0 12.0 0.0 4.0 20.0 80.0 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 5.0 20.0 85.0 10.0 20.0 40.0 390.0 
3.0 3.0 1.0 7.0 15.0 75.0 10.0 20.0 281.0 438.0 
3.0 4.0 1.0 8.0 15.0 80.0 10.0 10.0 272.0 581.0 
3.0 5.0 1.0 12.0 8.0 45.0 10.0 20.0 166.0 399.0 
3.0 6.0 1.0 13.0 5.0 35.0 10.0 10.0 359.0 911.0 
3.0 7.0 1.0 19.0 42.0 10.0 10.0 40.0 205.0 422.0 
3.0 8.0 1.0 20.0 42.0 15.0 10.0 10.0 511.0 682.0 
3.0 9.0 1.0 22.0 40.0 15.0 10.0 40.0 263.0 606.0 
3.0 10.0 1.0 28.0 92.0 30.0 10.0 10.0 68.0 349.0 
3.0 11.0 1.0 29.0 90.0 35.0 10.0 10.0 131.0 376.0 
3.0 12.0 1.0 32.0 87.0 30.0 10.0 10.0 564.0 797.0 
3.0 13.0 1.0 36.0 65.0 85.0 10.0 40.0 43.0 712.0 
3.0 14.0 1.0 39.0 60.0 80.0 10.0 10.0 36.0 800.0 
3.0 15.0 1.0 40.0 60.0 85.0 10.0 30.0 233.0 544.0 
3.0 16.0 1.0 42.0 55.0 80.0 10.0 10.0 33.0 624.0 
3.0 17.0 1.0 44.0 55.0 82.0 10.0 10.0 62.0 491.0 
3.0 18.0 1.0 46.0 18.0 80.0 10.0 10.0 435.0 662.0 
3.0 19.0 1.0 48.0 42.0 5.0 10.0 10.0 636.0 904.0 
3.0 20.0 2.0 2.0 22.0 75.0 10.0 2.0 73.0 350.0 
3.0 21.0 2.0 3.0 22.0 85.0 10.0 4.0 473.0 588.0 
3.0 22.0 2.0 10.0 10.0 40.0 10.0 8.0 470.0 687.0 
3.0 23.0 2.0 11.0 8.0 40.0 10.0 14.0 33.0 510.0 
3.0 24.0 2.0 16.0 0.0 40.0 10.0 4.0 214.0 415.0 
3.0 25.0 2.0 17.0 0.0 45.0 10.0 10.0 359.0 909.0 
3.0 26.0 2.0 18.0 44.0 5.0 10.0 2.0 338.0 451.0 
3.0 27.0 2.0 21.0 40.0 5.0 10.0 4.0 158.0 391.0 
3.0 28.0 2.0 24.0 38.0 15.0 10.0 6.0 598.0 883.0 
3.0 29.0 2.0 26.0 95.0 30.0 10.0 20.0 509.0 668.0 
3.0 30.0 2.0 27.0 95.0 35.0 10.0 6.0 57.0 664.0 
3.0 31.0 2.0 30.0 88.0 30.0 10.0 4.0 114.0 497.0 
3.0 32.0 2.0 31.0 88.0 35.0 10.0 4.0 102.0 347.0 
3.0 33.0 2.0 34.0 85.0 35.0 10.0 24.0 462.0 631.0 
3.0 34.0 2.0 35.0 67.0 85.0 10.0 8.0 396.0 905.0 
3.0 35.0 2.0 37.0 65.0 82.0 10.0 4.0 530.0 703.0 
3.0 36.0 2.0 43.0 55.0 85.0 10.0 2.0 549.0 718.0 
3.0 37.0 2.0 49.0 42.0 12.0 10.0 4.0 423.0 576.0 
3.0 38.0 2.0 50.0 72.0 35.0 10.0 2.0 471.0 662.0 

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

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

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

# wp Matrix:
6 4 6 
