Finding a Mediocre Player

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Abstract

Consider a totally ordered set S of n elements; as an example, a set of tennis players and their rankings. Further assume that their ranking is a total order and thus satisfies transitivity and anti-symmetry. Following Yao [29], an element (player) is said to be (i, j)-mediocre if it is neither among the top i nor among the bottom j elements of S. More than 40 years ago, Yao suggested a stunningly simple algorithm for finding an (i, j)-mediocre element: Pick elements arbitrarily and select the -th largest among them. She also asked: “Is this the best algorithm?” No one seems to have found such an algorithm ever since. We first provide a deterministic algorithm that beats the worst-case comparison bound in Yao’s algorithm for a large range of values of i (and corresponding suitable). We then repeat the exercise for randomized algorithms; the average number of comparisons of our algorithm beats the average comparison bound in Yao’s algorithm for another large range of values of i (and corresponding suitable); the improvement is most notable in the symmetric case. Moreover, the tight bound obtained in the analysis of Yao’s algorithm allows us to give a definite answer for this class of algorithms. In summary, we answer Yao’s question as follows: (i)Â “Presently not” for deterministic algorithms and (ii)Â “Definitely not” for randomized algorithms. (In fairness, it should be said however that Yao posed the question in the context of deterministic algorithms.).

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Dumitrescu, A. (2019). Finding a Mediocre Player. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11485 LNCS, pp. 212–223). Springer Verlag. https://doi.org/10.1007/978-3-030-17402-6_18

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