CMSC 858T: Randomized Algorithms

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A basic problem that arises often in the design and analysis of randomized algorithms is to get a good estimate (upper bound, lower bound, or both) of Pr( ∨ i∈[m]Ei), for some given events Ei. Equivalently, a good lower bound, upper bound or both, is required for Pr( ∧ i∈[m]Ei). As we have seen, one approach would be to use the union bound (“counting sieve”), which is unfortunately quite weak in general. Another obvious approach, which works when the Eis are independent, is to use Pr( ∧

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تاریخ انتشار 2003