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

M. Crochemore, E. Porat
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引用次数: 4

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 k). The optimality of the new bound is an open question.
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在时间O(n log log k)内计算长度为k的最长递增子序列
我们考虑计算由输出长度参数化的最长递增子序列的复杂性。也就是说,我们证明了整数集- 1,2,…的置换的递增子序列的最大长度k,在RAM模型中,n}可以在O(n log log k)时间内计算,改进了之前的O(n log log k)的30年边界,新边界的最优性是一个悬而未决的问题。
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