# Size of Some Parameters:
101	10	1000	25	1	12	71	17	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 74.0 20.0 20.0 10.0 0.0 0.0 960.0 
2.0 2.0 0.0 47.0 2.0 45.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 48.0 42.0 5.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 42.0 55.0 80.0 10.0 0.0 0.0 960.0 
2.0 5.0 0.0 64.0 45.0 30.0 10.0 0.0 0.0 960.0 
2.0 6.0 0.0 12.0 8.0 45.0 10.0 0.0 0.0 960.0 
2.0 7.0 0.0 39.0 60.0 80.0 10.0 0.0 0.0 960.0 
2.0 8.0 0.0 14.0 5.0 45.0 10.0 0.0 0.0 960.0 
2.0 9.0 0.0 18.0 44.0 5.0 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 61.0 45.0 65.0 10.0 0.0 0.0 960.0 
2.0 12.0 0.0 29.0 90.0 35.0 10.0 0.0 0.0 960.0 
3.0 1.0 1.0 1.0 25.0 85.0 10.0 20.0 388.0 911.0 
3.0 2.0 1.0 2.0 22.0 75.0 10.0 30.0 30.0 546.0 
3.0 3.0 1.0 3.0 22.0 85.0 10.0 10.0 353.0 708.0 
3.0 4.0 1.0 4.0 20.0 80.0 10.0 40.0 425.0 913.0 
3.0 5.0 1.0 5.0 20.0 85.0 10.0 20.0 40.0 630.0 
3.0 6.0 1.0 6.0 18.0 75.0 10.0 20.0 228.0 667.0 
3.0 7.0 1.0 7.0 15.0 75.0 10.0 20.0 161.0 558.0 
3.0 8.0 1.0 8.0 15.0 80.0 10.0 10.0 229.0 624.0 
3.0 9.0 1.0 9.0 10.0 35.0 10.0 20.0 213.0 648.0 
3.0 10.0 1.0 10.0 10.0 40.0 10.0 30.0 404.0 753.0 
3.0 11.0 1.0 11.0 8.0 40.0 10.0 40.0 33.0 511.0 
3.0 12.0 1.0 13.0 5.0 35.0 10.0 10.0 395.0 911.0 
3.0 13.0 1.0 15.0 2.0 40.0 10.0 20.0 39.0 528.0 
3.0 14.0 1.0 16.0 0.0 40.0 10.0 20.0 94.0 535.0 
3.0 15.0 1.0 19.0 42.0 10.0 10.0 40.0 85.0 542.0 
3.0 16.0 1.0 20.0 42.0 15.0 10.0 10.0 391.0 802.0 
3.0 17.0 1.0 22.0 40.0 15.0 10.0 40.0 229.0 640.0 
3.0 18.0 1.0 23.0 38.0 5.0 10.0 30.0 45.0 523.0 
3.0 19.0 1.0 25.0 35.0 5.0 10.0 20.0 386.0 904.0 
3.0 20.0 1.0 26.0 95.0 30.0 10.0 30.0 389.0 788.0 
3.0 21.0 1.0 27.0 95.0 35.0 10.0 20.0 57.0 600.0 
3.0 22.0 1.0 28.0 92.0 30.0 10.0 10.0 55.0 575.0 
3.0 23.0 1.0 30.0 88.0 30.0 10.0 10.0 90.0 521.0 
3.0 24.0 1.0 31.0 88.0 35.0 10.0 20.0 50.0 534.0 
3.0 25.0 1.0 32.0 87.0 30.0 10.0 10.0 425.0 898.0 
3.0 26.0 1.0 33.0 85.0 25.0 10.0 10.0 51.0 602.0 
3.0 27.0 1.0 35.0 67.0 85.0 10.0 20.0 410.0 905.0 
3.0 28.0 1.0 36.0 65.0 85.0 10.0 40.0 43.0 617.0 
3.0 29.0 1.0 40.0 60.0 85.0 10.0 30.0 191.0 586.0 
3.0 30.0 1.0 44.0 55.0 82.0 10.0 10.0 49.0 504.0 
3.0 31.0 1.0 45.0 20.0 82.0 10.0 10.0 37.0 597.0 
3.0 32.0 1.0 46.0 18.0 80.0 10.0 10.0 315.0 782.0 
3.0 33.0 1.0 49.0 42.0 12.0 10.0 10.0 341.0 658.0 
3.0 34.0 1.0 50.0 72.0 35.0 10.0 30.0 351.0 782.0 
3.0 35.0 1.0 51.0 55.0 20.0 10.0 19.0 161.0 610.0 
3.0 36.0 1.0 53.0 20.0 50.0 10.0 5.0 239.0 630.0 
3.0 37.0 1.0 55.0 30.0 60.0 10.0 16.0 420.0 897.0 
3.0 38.0 1.0 57.0 30.0 25.0 10.0 23.0 227.0 686.0 
3.0 39.0 1.0 58.0 15.0 10.0 10.0 20.0 401.0 902.0 
3.0 40.0 1.0 59.0 10.0 20.0 10.0 19.0 42.0 706.0 
3.0 41.0 1.0 60.0 15.0 60.0 10.0 17.0 401.0 923.0 
3.0 42.0 1.0 62.0 65.0 35.0 10.0 3.0 29.0 548.0 
3.0 43.0 1.0 63.0 65.0 20.0 10.0 6.0 39.0 593.0 
3.0 44.0 1.0 65.0 35.0 40.0 10.0 16.0 11.0 530.0 
3.0 45.0 1.0 66.0 41.0 37.0 10.0 16.0 404.0 847.0 
3.0 46.0 1.0 70.0 35.0 69.0 10.0 23.0 330.0 930.0 
3.0 47.0 1.0 71.0 65.0 55.0 10.0 14.0 81.0 520.0 
3.0 48.0 1.0 72.0 63.0 65.0 10.0 8.0 27.0 622.0 
3.0 49.0 1.0 73.0 2.0 60.0 10.0 5.0 135.0 556.0 
3.0 50.0 1.0 75.0 5.0 5.0 10.0 16.0 63.0 520.0 
3.0 51.0 1.0 77.0 23.0 3.0 10.0 7.0 390.0 900.0 
3.0 52.0 1.0 78.0 8.0 56.0 10.0 27.0 190.0 659.0 
3.0 53.0 1.0 79.0 6.0 68.0 10.0 30.0 215.0 608.0 
3.0 54.0 1.0 81.0 49.0 58.0 10.0 10.0 249.0 580.0 
3.0 55.0 1.0 82.0 27.0 43.0 10.0 9.0 14.0 506.0 
3.0 56.0 1.0 83.0 37.0 31.0 10.0 14.0 19.0 566.0 
3.0 57.0 1.0 84.0 57.0 29.0 10.0 18.0 259.0 650.0 
3.0 58.0 1.0 85.0 63.0 23.0 10.0 2.0 198.0 609.0 
3.0 59.0 1.0 86.0 21.0 24.0 10.0 28.0 212.0 605.0 
3.0 60.0 1.0 87.0 12.0 24.0 10.0 13.0 272.0 565.0 
3.0 61.0 1.0 89.0 67.0 5.0 10.0 25.0 325.0 897.0 
3.0 62.0 1.0 90.0 37.0 47.0 10.0 6.0 204.0 633.0 
3.0 63.0 1.0 91.0 49.0 42.0 10.0 13.0 442.0 937.0 
3.0 64.0 1.0 92.0 53.0 43.0 10.0 14.0 14.0 581.0 
3.0 65.0 1.0 93.0 61.0 52.0 10.0 3.0 373.0 928.0 
3.0 66.0 1.0 94.0 57.0 48.0 10.0 23.0 265.0 638.0 
3.0 67.0 1.0 95.0 56.0 37.0 10.0 6.0 20.0 539.0 
3.0 68.0 1.0 97.0 4.0 18.0 10.0 35.0 426.0 787.0 
3.0 69.0 1.0 98.0 26.0 52.0 10.0 9.0 14.0 499.0 
3.0 70.0 1.0 99.0 26.0 35.0 10.0 15.0 149.0 586.0 
3.0 71.0 1.0 100.0 31.0 67.0 10.0 3.0 356.0 930.0 
3.0 72.0 2.0 17.0 0.0 45.0 10.0 10.0 394.0 909.0 
3.0 73.0 2.0 21.0 40.0 5.0 10.0 2.0 45.0 517.0 
3.0 74.0 2.0 24.0 38.0 15.0 10.0 2.0 389.0 914.0 
3.0 75.0 2.0 34.0 85.0 35.0 10.0 4.0 342.0 751.0 
3.0 76.0 2.0 37.0 65.0 82.0 10.0 2.0 410.0 823.0 
3.0 77.0 2.0 38.0 62.0 80.0 10.0 6.0 114.0 561.0 
3.0 78.0 2.0 41.0 58.0 75.0 10.0 3.0 201.0 670.0 
3.0 79.0 2.0 43.0 55.0 85.0 10.0 6.0 429.0 838.0 
3.0 80.0 2.0 52.0 25.0 30.0 10.0 1.0 25.0 516.0 
3.0 81.0 2.0 54.0 55.0 60.0 10.0 3.0 448.0 873.0 
3.0 82.0 2.0 56.0 50.0 35.0 10.0 11.0 390.0 843.0 
3.0 83.0 2.0 67.0 64.0 42.0 10.0 7.0 100.0 555.0 
3.0 84.0 2.0 68.0 40.0 60.0 10.0 1.0 436.0 907.0 
3.0 85.0 2.0 69.0 31.0 52.0 10.0 2.0 9.0 510.0 
3.0 86.0 2.0 76.0 60.0 12.0 10.0 11.0 125.0 530.0 
3.0 87.0 2.0 80.0 47.0 47.0 10.0 5.0 444.0 942.0 
3.0 88.0 2.0 96.0 55.0 54.0 10.0 6.0 418.0 825.0 

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

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

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

# wp Matrix:
2 4 5 
