Sequential Selection Of A Monotone Subsequence From A Random Permutation

PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY(2016)

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摘要
We find a two term asymptotic expansion for the optimal expected value of a sequentially selected monotone subsequence from a random permutation of length n. A striking feature of this expansion is that it tells us that the expected value of optimal selection from a random permutation is quantifiably larger than optimal sequential selection from an independent sequence of uniformly distributed random variables; specifically, it is larger by at least (1/6) log n + O(1).
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关键词
Monotone subsequence problem,sequential selection,online selection,Markov decision problem,nonlinear recursion,prophet inequality
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