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Suppose for some randomized algorithm, we have shown that the expected running time for this algorithm is 0(n) , where n is the size of
Suppose for some randomized algorithm, we have shown that the expected running time for this algorithm is 0(n) , where n is the size of the input. We wish to show this expected running time will hold with "high probability". According to the definition given in the slides for this section, which of the following functions f : N > [0, 1] are examples ofa \"high probability\" result? Select all that apply. D f(n):1_lo;n El f(n)=12in Ef(n)=1*% moods
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