An efficient algorithm for the approximate median selection problem

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Abstract

We present an efficient algorithm for the approximate median selection problem. The algorithm works in-place; it is fast and easy to implement. For a large array it returns, with high probability, a very close estimate of the true median. The running time is linear in the length n of the input. The algorithm performs fewer than 4/3n comparisons and 1/3n exchanges on the average. We present analytical results of the performance of the algorithm, as well as experimental illustrations of its precision.

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Battiato, S., Cantone, D., Catalano, D., Cincotti, G., & Hofri, M. (2000). An efficient algorithm for the approximate median selection problem. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1767, 226–238. https://doi.org/10.1007/3-540-46521-9_19

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