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An Efficient Algorithm for the Longest Pattern Subsequence Problem

机译:一种高效的后续问题的有效算法

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This paper studies the longest pattern subsequence problem based on the dynamic programming algorithm. An O(n{sup}2) time algorithm for the problem is firstly presented. Then the presented algorithm is improved further by generalizing the RSK algorithm and the standard Young tableau. When |σ|=1, the time required by the algorithm is improved to O(n log k). When |σ|=2, the time required by the algorithm is improved to O(n), an optimal algorithm.
机译:本文研究了基于动态编程算法的最长模式子序列问题。首先呈现问题的O(n {sup} 2)时间算法。然后通过概括RSK算法和标准的年轻Tableau进一步提高了所提出的算法。当|Σ| = 1时,算法所需的时间得到改善为O(n log k)。当|Σ| = 2时,算法所需的时间得到改善为O(n),最佳算法。

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