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Computing a Longest Increasing Subsequence of Length k in Time O(n log log k)

Visions of Computer Science - BCS International Academic Conference

Imperial College, London, UK - 22 - 24 September 2008

AUTHORS

Maxime Crochemore & Ely Porat

ABSTRACT

We consider the complexity of computing a longest increasing subsequence parameterised by the length of the output. Namely, we show that the maximal length k of an increasing subsequence of a permutation of the set of integers {1, 2, . . . , n} can be computed in time O(n log log k) in the RAM model, improving the previous 30-year bound of O(n log log n). The optimality of the new bound is an open question.

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