Lecture Notes in Computer Science, 2005, Volume 3341/2005, 7-10, DOI: 10.1007/978-3-540-30551-4_43

Minimum Common String Partition Problem: Hardness and Approximations

Avraham Goldstein, Petr Kolman and Jie Zheng

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Abstract

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=(P1,P2,...Pm){\mathcal P}=(P_{1},P_{2},...P_{m}) of strings, called the blocks, whose concatenation is equal to A. Given a partition P{\mathcal P} of a string A and a partition Q{\mathcal Q} of a string B, we say that the pair áP,Qñ\langle\mathcal{P,Q}\rangle is a common partition of A and B if Q{\mathcal Q} is a permutation of P{\mathcal 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.

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