# Size of Some Parameters:
51	10	1000	25	1	6	36	8	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 49.0 42.0 12.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 39.0 60.0 80.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 4.0 20.0 80.0 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 6.0 18.0 75.0 10.0 0.0 0.0 960.0 
3.0 1.0 1.0 1.0 25.0 85.0 10.0 20.0 673.0 793.0 
3.0 2.0 1.0 2.0 22.0 75.0 10.0 30.0 152.0 272.0 
3.0 3.0 1.0 3.0 22.0 85.0 10.0 10.0 471.0 591.0 
3.0 4.0 1.0 5.0 20.0 85.0 10.0 20.0 73.0 193.0 
3.0 5.0 1.0 7.0 15.0 75.0 10.0 20.0 300.0 420.0 
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 13.0 5.0 35.0 10.0 10.0 653.0 773.0 
3.0 11.0 1.0 15.0 2.0 40.0 10.0 20.0 174.0 294.0 
3.0 12.0 1.0 16.0 0.0 40.0 10.0 20.0 255.0 375.0 
3.0 13.0 1.0 17.0 0.0 45.0 10.0 20.0 703.0 823.0 
3.0 14.0 1.0 18.0 44.0 5.0 10.0 20.0 335.0 455.0 
3.0 15.0 1.0 19.0 42.0 10.0 10.0 40.0 254.0 374.0 
3.0 16.0 1.0 20.0 42.0 15.0 10.0 10.0 537.0 657.0 
3.0 17.0 1.0 21.0 40.0 5.0 10.0 10.0 215.0 335.0 
3.0 18.0 1.0 22.0 40.0 15.0 10.0 40.0 375.0 495.0 
3.0 19.0 1.0 23.0 38.0 5.0 10.0 30.0 201.0 321.0 
3.0 20.0 1.0 24.0 38.0 15.0 10.0 10.0 681.0 801.0 
3.0 21.0 1.0 25.0 35.0 5.0 10.0 20.0 784.0 904.0 
3.0 22.0 1.0 28.0 92.0 30.0 10.0 10.0 149.0 269.0 
3.0 23.0 1.0 29.0 90.0 35.0 10.0 10.0 194.0 314.0 
3.0 24.0 1.0 30.0 88.0 30.0 10.0 10.0 246.0 366.0 
3.0 25.0 1.0 31.0 88.0 35.0 10.0 20.0 165.0 285.0 
3.0 26.0 1.0 35.0 67.0 85.0 10.0 20.0 657.0 777.0 
3.0 27.0 1.0 36.0 65.0 85.0 10.0 40.0 43.0 163.0 
3.0 28.0 1.0 37.0 65.0 82.0 10.0 10.0 557.0 677.0 
3.0 29.0 1.0 40.0 60.0 85.0 10.0 30.0 329.0 449.0 
3.0 30.0 1.0 41.0 58.0 75.0 10.0 20.0 376.0 496.0 
3.0 31.0 1.0 42.0 55.0 80.0 10.0 10.0 33.0 153.0 
3.0 32.0 1.0 43.0 55.0 85.0 10.0 20.0 574.0 694.0 
3.0 33.0 1.0 44.0 55.0 82.0 10.0 10.0 217.0 337.0 
3.0 34.0 1.0 46.0 18.0 80.0 10.0 10.0 489.0 609.0 
3.0 35.0 1.0 47.0 2.0 45.0 10.0 10.0 105.0 225.0 
3.0 36.0 1.0 48.0 42.0 5.0 10.0 10.0 732.0 852.0 
3.0 37.0 2.0 12.0 8.0 45.0 10.0 7.0 223.0 343.0 
3.0 38.0 2.0 14.0 5.0 45.0 10.0 4.0 35.0 155.0 
3.0 39.0 2.0 26.0 95.0 30.0 10.0 20.0 529.0 649.0 
3.0 40.0 2.0 32.0 87.0 30.0 10.0 8.0 621.0 741.0 
3.0 41.0 2.0 33.0 85.0 25.0 10.0 2.0 80.0 200.0 
3.0 42.0 2.0 34.0 85.0 35.0 10.0 10.0 487.0 607.0 
3.0 43.0 2.0 45.0 20.0 82.0 10.0 6.0 37.0 157.0 
3.0 44.0 2.0 50.0 72.0 35.0 10.0 3.0 507.0 627.0 

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

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

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

# wp Matrix:
2 3 5 
