Randomized approximation ratios are performance measures that evaluate the effectiveness of randomized algorithms in approximating solutions to optimization problems. These ratios compare the expected value of the solution produced by a randomized algorithm to the optimal solution, giving insight into how well the algorithm performs on average over multiple runs. They help assess not only the quality of an approximation but also the reliability of randomized methods in providing near-optimal solutions.
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