# Size of Some Parameters:
51	10	1000	25	1	10	27	13	4	

# Data Matrix:
1.0 1.0 0.0 0.0 35.0 35.0 0.0 0.0 0.0 1000.0 
2.0 1.0 0.0 38.0 5.0 5.0 10.0 0.0 0.0 1000.0 
2.0 2.0 0.0 18.0 20.0 40.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 9.0 55.0 60.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 37.0 20.0 20.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 48.0 13.0 52.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 29.0 64.0 42.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 11.0 20.0 65.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 19.0 15.0 60.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 17.0 5.0 30.0 10.0 0.0 0.0 1000.0 
2.0 10.0 0.0 41.0 42.0 7.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 1.0 41.0 49.0 10.0 10.0 0.0 974.0 
3.0 2.0 1.0 3.0 55.0 45.0 10.0 13.0 0.0 967.0 
3.0 3.0 1.0 8.0 10.0 43.0 10.0 9.0 323.0 563.0 
3.0 4.0 1.0 12.0 50.0 35.0 10.0 19.0 0.0 975.0 
3.0 5.0 1.0 14.0 15.0 10.0 10.0 20.0 0.0 957.0 
3.0 6.0 1.0 15.0 30.0 5.0 10.0 8.0 118.0 358.0 
3.0 7.0 1.0 16.0 10.0 20.0 10.0 19.0 0.0 960.0 
3.0 8.0 1.0 20.0 45.0 65.0 10.0 9.0 0.0 958.0 
3.0 9.0 1.0 21.0 45.0 20.0 10.0 11.0 0.0 971.0 
3.0 10.0 1.0 23.0 55.0 5.0 10.0 29.0 146.0 386.0 
3.0 11.0 1.0 25.0 65.0 20.0 10.0 6.0 716.0 956.0 
3.0 12.0 1.0 26.0 45.0 30.0 10.0 17.0 0.0 978.0 
3.0 13.0 1.0 27.0 35.0 40.0 10.0 16.0 0.0 985.0 
3.0 14.0 1.0 28.0 41.0 37.0 10.0 16.0 0.0 983.0 
3.0 15.0 1.0 30.0 40.0 60.0 10.0 21.0 0.0 964.0 
3.0 16.0 1.0 31.0 31.0 52.0 10.0 27.0 0.0 972.0 
3.0 17.0 1.0 32.0 35.0 69.0 10.0 23.0 0.0 956.0 
3.0 18.0 1.0 33.0 53.0 52.0 10.0 11.0 0.0 965.0 
3.0 19.0 1.0 34.0 65.0 55.0 10.0 14.0 0.0 953.0 
3.0 20.0 1.0 36.0 2.0 60.0 10.0 5.0 0.0 948.0 
3.0 21.0 1.0 40.0 40.0 25.0 10.0 9.0 0.0 978.0 
3.0 22.0 1.0 42.0 24.0 12.0 10.0 5.0 0.0 964.0 
3.0 23.0 1.0 43.0 23.0 3.0 10.0 7.0 0.0 955.0 
3.0 24.0 1.0 45.0 6.0 38.0 10.0 16.0 0.0 960.0 
3.0 25.0 1.0 46.0 2.0 48.0 10.0 1.0 0.0 954.0 
3.0 26.0 1.0 49.0 6.0 68.0 10.0 30.0 0.0 946.0 
3.0 27.0 1.0 50.0 47.0 47.0 10.0 13.0 0.0 973.0 
3.0 28.0 2.0 2.0 35.0 17.0 10.0 3.0 0.0 972.0 
3.0 29.0 2.0 4.0 55.0 20.0 10.0 7.0 620.0 860.0 
3.0 30.0 2.0 5.0 15.0 30.0 10.0 8.0 0.0 969.0 
3.0 31.0 2.0 6.0 25.0 30.0 10.0 1.0 0.0 978.0 
3.0 32.0 2.0 7.0 20.0 50.0 10.0 1.0 0.0 968.0 
3.0 33.0 2.0 10.0 30.0 60.0 10.0 5.0 0.0 964.0 
3.0 34.0 2.0 13.0 30.0 25.0 10.0 6.0 639.0 879.0 
3.0 35.0 2.0 22.0 45.0 10.0 10.0 6.0 0.0 963.0 
3.0 36.0 2.0 24.0 65.0 35.0 10.0 1.0 0.0 960.0 
3.0 37.0 2.0 35.0 63.0 65.0 10.0 3.0 0.0 948.0 
3.0 38.0 2.0 39.0 60.0 12.0 10.0 6.0 0.0 956.0 
3.0 39.0 2.0 44.0 11.0 14.0 10.0 4.0 167.0 407.0 
3.0 40.0 2.0 47.0 8.0 56.0 10.0 4.0 0.0 955.0 

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

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

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

# wp Matrix:
3 1 2 4 
