Analysis of Algorithms : An Active Learning Approach

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260 APPENDIX A


60 0.32764 100 0.47643 140 0.90770
61 0.62633 101 0.93607 141 0.27310
62 0.96292 102 0.48024 142 0.98280
63 0.34499 103 0.87140 143 0.10394
64 0.31622 104 0.56047 144 0.29839
65 0.48381 105 0.16733 145 0.17819
66 0.49887 106 0.35188 146 0.55171
67 0.42757 107 0.26331 147 0.74780
68 0.70032 108 0.00486 148 0.45567
69 0.07664 109 0.80191 149 0.76785
70 0.31314 110 0.81044 150 0.36943
71 0.47206 111 0.75385 151 0.88635
72 0.05804 112 0.82524 152 0.36378
73 0.42046 113 0.54294 153 0.76584
74 0.10886 114 0.49654 154 0.66698
75 0.11909 115 0.17114 155 0.02154
76 0.21753 116 0.28722
77 0.78087 117 0.34354
78 0.83914 118 0.30080
79 0.25929 119 0.59332
80 0.25690 120 0.90642
81 0.67351 121 0.40683
82 0.70712 122 0.36385
83 0.03327 123 0.34851
84 0.50427 124 0.44847
85 0.86400 125 0.18594
86 0.16592 126 0.07630
87 0.83168 127 0.01483
88 0.53778 128 0.92900
89 0.36797 129 0.38400
90 0.91867 130 0.07881
91 0.29512 131 0.42041
92 0.18555 132 0.61363
93 0.45103 133 0.95413
94 0.91849 134 0.26198
95 0.31422 135 0.64337
96 0.52570 136 0.01799
97 0.62883 137 0.09945
98 0.36850 138 0.76643
99 0.02961 139 0.01184
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