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Minimum Common String Partition Problem: Hardness and Approximations

机译:最小公共字符串划分问题:硬度和近似值

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String comparison is a fundamental problem in computer science, with applications in areas such as computational biology, text processing or compression. In this paper we address the minimum common string partition problem, a string comparison problem with tight connection to the problem of sorting by reversals with duplicates, a key problem in genome rearrangement. A partition of a string A is a sequence P = (P_1, P_2, ... , P_m) of strings, called the blocks, whose concatenation is equal to A. Given a partition P of a string A and a partition Q of a string B, we say that the pair < P, Q > is a common partition of A and B if Q is a permutation of P. The minimum common string partition problem (MCSP) is to find a common partition of two strings A and B with the minimum number of blocks. The restricted version of MCSP where each letter occurs at most k times in each input string, is denoted by k-MCSP. In this paper, we show that 2-MCSP (and therefore MCSP) is NP-hard and, moreover, even APX-hard. We describe a 1.1037-approximation for 2-MCSP and a linear time 4-approximation algorithm for 3-MCSP. We are not aware of any better approximations.
机译:字符串比较是计算机科学中的一个基本问题,在计算生物学,文本处理或压缩等领域都有应用。在本文中,我们解决了最小公共字符串分配问题,与紧密连接的字符串比较问题,与重复项的反向排序问题,这是基因组重排的关键问题。字符串A的分区是字符串的序列P =(P_1,P_2,...,P_m),称为块,其级联等于A。给定字符串A的分区P和a的分区Q字符串B,我们说如果Q是P的置换,则对是A和B的公共分区。最小公共字符串分区问题(MCSP)是找到两个字符串A和B的公共分区最少的块数MCSP的受限版本(其中每个字母在每个输入字符串中最多出现k次)用k-MCSP表示。在本文中,我们显示了2-MCSP(因此也称为MCSP)对NP不利,甚至对APX不利。我们描述了2-MCSP的1.1037逼近和3-MCSP的线性时间4逼近算法。我们尚无更好的近似值。

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