# Size of Some Parameters:
101	10	700	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 3390.0 
2.0 1.0 0.0 74.0 53.0 35.0 90.0 0.0 0.0 3390.0 
2.0 2.0 0.0 54.0 42.0 10.0 90.0 0.0 0.0 3390.0 
2.0 3.0 0.0 52.0 25.0 35.0 90.0 0.0 0.0 3390.0 
2.0 4.0 0.0 4.0 60.0 66.0 90.0 0.0 0.0 3390.0 
2.0 5.0 0.0 69.0 45.0 35.0 90.0 0.0 0.0 3390.0 
2.0 6.0 0.0 58.0 38.0 5.0 90.0 0.0 0.0 3390.0 
2.0 7.0 0.0 14.0 22.0 85.0 90.0 0.0 0.0 3390.0 
2.0 8.0 0.0 72.0 53.0 30.0 90.0 0.0 0.0 3390.0 
2.0 9.0 0.0 80.0 85.0 25.0 90.0 0.0 0.0 3390.0 
2.0 10.0 0.0 1.0 52.0 75.0 90.0 0.0 0.0 3390.0 
2.0 11.0 0.0 33.0 8.0 40.0 90.0 0.0 0.0 3390.0 
2.0 12.0 0.0 64.0 48.0 30.0 90.0 0.0 0.0 3390.0 
2.0 13.0 0.0 30.0 20.0 55.0 90.0 0.0 0.0 3390.0 
2.0 14.0 0.0 45.0 30.0 30.0 90.0 0.0 0.0 3390.0 
2.0 15.0 0.0 7.0 58.0 70.0 90.0 0.0 0.0 3390.0 
2.0 16.0 0.0 23.0 14.0 66.0 90.0 0.0 0.0 3390.0 
2.0 17.0 0.0 13.0 22.0 75.0 90.0 0.0 0.0 3390.0 
2.0 18.0 0.0 95.0 62.0 80.0 90.0 0.0 0.0 3390.0 
2.0 19.0 0.0 98.0 58.0 75.0 90.0 0.0 0.0 3390.0 
2.0 20.0 0.0 41.0 35.0 32.0 90.0 0.0 0.0 3390.0 
3.0 1.0 1.0 2.0 45.0 70.0 90.0 30.0 20.0 660.0 
3.0 2.0 1.0 6.0 16.0 42.0 90.0 20.0 257.0 897.0 
3.0 3.0 1.0 8.0 34.0 60.0 90.0 20.0 2647.0 3287.0 
3.0 4.0 1.0 9.0 28.0 70.0 90.0 10.0 2361.0 3001.0 
3.0 5.0 1.0 11.0 35.0 69.0 90.0 10.0 2458.0 3098.0 
3.0 6.0 1.0 12.0 25.0 85.0 90.0 20.0 1879.0 2519.0 
3.0 7.0 1.0 15.0 20.0 80.0 90.0 40.0 1976.0 2616.0 
3.0 8.0 1.0 17.0 18.0 75.0 90.0 20.0 2071.0 2711.0 
3.0 9.0 1.0 19.0 15.0 80.0 90.0 10.0 1597.0 2237.0 
3.0 10.0 1.0 20.0 30.0 50.0 90.0 10.0 10.0 650.0 
3.0 11.0 1.0 21.0 30.0 56.0 90.0 20.0 2648.0 3288.0 
3.0 12.0 1.0 22.0 28.0 52.0 90.0 20.0 12.0 652.0 
3.0 13.0 1.0 24.0 25.0 50.0 90.0 10.0 15.0 655.0 
3.0 14.0 1.0 26.0 8.0 62.0 90.0 10.0 1305.0 1945.0 
3.0 15.0 1.0 27.0 23.0 52.0 90.0 10.0 17.0 657.0 
3.0 16.0 1.0 29.0 20.0 50.0 90.0 10.0 158.0 798.0 
3.0 17.0 1.0 31.0 10.0 35.0 90.0 20.0 541.0 1181.0 
3.0 18.0 1.0 32.0 10.0 40.0 90.0 30.0 353.0 993.0 
3.0 19.0 1.0 35.0 5.0 35.0 90.0 10.0 636.0 1276.0 
3.0 20.0 1.0 36.0 5.0 45.0 90.0 10.0 1013.0 1653.0 
3.0 21.0 1.0 38.0 0.0 40.0 90.0 30.0 823.0 1463.0 
3.0 22.0 1.0 40.0 36.0 18.0 90.0 10.0 1579.0 2219.0 
3.0 23.0 1.0 42.0 33.0 32.0 90.0 20.0 2426.0 3066.0 
3.0 24.0 1.0 43.0 33.0 35.0 90.0 10.0 2333.0 2973.0 
3.0 25.0 1.0 47.0 30.0 35.0 90.0 10.0 2240.0 2880.0 
3.0 26.0 1.0 48.0 36.0 40.0 90.0 10.0 2616.0 3256.0 
3.0 27.0 1.0 49.0 48.0 20.0 90.0 10.0 727.0 1367.0 
3.0 28.0 1.0 51.0 25.0 30.0 90.0 10.0 1960.0 2600.0 
3.0 29.0 1.0 53.0 44.0 5.0 90.0 20.0 1016.0 1656.0 
3.0 30.0 1.0 55.0 42.0 15.0 90.0 10.0 825.0 1465.0 
3.0 31.0 1.0 56.0 40.0 5.0 90.0 30.0 1110.0 1750.0 
3.0 32.0 1.0 57.0 38.0 15.0 90.0 40.0 1485.0 2125.0 
3.0 33.0 1.0 60.0 35.0 5.0 90.0 20.0 1295.0 1935.0 
3.0 34.0 1.0 63.0 50.0 40.0 90.0 50.0 14.0 654.0 
3.0 35.0 1.0 68.0 42.0 30.0 90.0 10.0 536.0 1176.0 
3.0 36.0 1.0 70.0 95.0 30.0 90.0 30.0 2081.0 2721.0 
3.0 37.0 1.0 71.0 95.0 35.0 90.0 20.0 1986.0 2626.0 
3.0 38.0 1.0 76.0 90.0 35.0 90.0 10.0 1891.0 2531.0 
3.0 39.0 1.0 77.0 72.0 45.0 90.0 10.0 2627.0 3267.0 
3.0 40.0 1.0 78.0 78.0 40.0 90.0 20.0 2562.0 3202.0 
3.0 41.0 1.0 79.0 87.0 30.0 90.0 10.0 2368.0 3008.0 
3.0 42.0 1.0 81.0 85.0 35.0 90.0 30.0 2463.0 3103.0 
3.0 43.0 1.0 83.0 72.0 55.0 90.0 10.0 1592.0 2232.0 
3.0 44.0 1.0 84.0 70.0 58.0 90.0 20.0 1401.0 2041.0 
3.0 45.0 1.0 85.0 86.0 46.0 90.0 30.0 1789.0 2429.0 
3.0 46.0 1.0 86.0 66.0 55.0 90.0 10.0 1496.0 2136.0 
3.0 47.0 1.0 88.0 65.0 60.0 90.0 30.0 1306.0 1946.0 
3.0 48.0 1.0 89.0 56.0 64.0 90.0 10.0 1115.0 1755.0 
3.0 49.0 1.0 92.0 67.0 85.0 90.0 20.0 454.0 1094.0 
3.0 50.0 1.0 93.0 42.0 58.0 90.0 40.0 8.0 648.0 
3.0 51.0 1.0 94.0 65.0 82.0 90.0 10.0 548.0 1188.0 
3.0 52.0 1.0 96.0 62.0 40.0 90.0 10.0 2635.0 3275.0 
3.0 53.0 1.0 97.0 60.0 85.0 90.0 30.0 357.0 997.0 
3.0 54.0 1.0 99.0 55.0 80.0 90.0 10.0 167.0 807.0 
3.0 55.0 2.0 3.0 62.0 69.0 90.0 5.0 927.0 1567.0 
3.0 56.0 2.0 5.0 42.0 65.0 90.0 7.0 15.0 655.0 
3.0 57.0 2.0 10.0 35.0 66.0 90.0 3.0 2551.0 3191.0 
3.0 58.0 2.0 16.0 20.0 85.0 90.0 39.0 1694.0 2334.0 
3.0 59.0 2.0 18.0 15.0 75.0 90.0 17.0 1502.0 2142.0 
3.0 60.0 2.0 25.0 22.0 66.0 90.0 39.0 2264.0 2904.0 
3.0 61.0 2.0 28.0 4.0 55.0 90.0 15.0 1207.0 1847.0 
3.0 62.0 2.0 34.0 8.0 45.0 90.0 17.0 1106.0 1746.0 
3.0 63.0 2.0 37.0 2.0 40.0 90.0 15.0 731.0 1371.0 
3.0 64.0 2.0 39.0 0.0 45.0 90.0 16.0 918.0 1558.0 
3.0 65.0 2.0 44.0 32.0 20.0 90.0 2.0 1673.0 2313.0 
3.0 66.0 2.0 46.0 34.0 25.0 90.0 21.0 1769.0 2409.0 
3.0 67.0 2.0 50.0 26.0 32.0 90.0 5.0 2052.0 2692.0 
3.0 68.0 2.0 59.0 38.0 10.0 90.0 9.0 1390.0 2030.0 
3.0 69.0 2.0 61.0 50.0 30.0 90.0 6.0 161.0 801.0 
3.0 70.0 2.0 62.0 50.0 35.0 90.0 17.0 18.0 658.0 
3.0 71.0 2.0 65.0 44.0 25.0 90.0 2.0 631.0 1271.0 
3.0 72.0 2.0 66.0 47.0 35.0 90.0 4.0 348.0 988.0 
3.0 73.0 2.0 67.0 47.0 40.0 90.0 4.0 12.0 652.0 
3.0 74.0 2.0 73.0 92.0 30.0 90.0 6.0 2174.0 2814.0 
3.0 75.0 2.0 75.0 45.0 65.0 90.0 18.0 15.0 655.0 
3.0 76.0 2.0 82.0 75.0 55.0 90.0 14.0 1685.0 2325.0 
3.0 77.0 2.0 87.0 64.0 46.0 90.0 13.0 2635.0 3275.0 
3.0 78.0 2.0 90.0 60.0 55.0 90.0 8.0 2639.0 3279.0 
3.0 79.0 2.0 91.0 60.0 60.0 90.0 9.0 1211.0 1851.0 
3.0 80.0 2.0 100.0 55.0 85.0 90.0 13.0 262.0 902.0 

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

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

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

# wp Matrix:
1 1 
