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Efficient Computations of e_1 and e_∞ Rearrangement Distances

机译:高效计算E_1和E_‖重新排列距离

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Recently, a new pattern matching paradigm was proposed, pattern matching with address errors. In this paradigm approximate string matching problems are studied, where the content is unaltered and only the locations of the different entries may change. Specifically, a broad class of problems in this new paradigm was defined - the class of rearrangement errors. In this type of errors the pattern is transformed through a sequence of rearrangement operations, each with an associated cost. The natural e_1 and e_2 rearrangement systems were considered. A variant of the e_1-rearrangement distance problem seems more difficult - where the pattern is a general string that may have repeating symbols. The best algorithm presented for the general case is O(nm). In this paper, we show that even for general strings the problem can be approximated in linear time! This paper also considers another natural rearrangement system - the e_∞ rearrangement distance. For this new rearrangement system we provide efficient exact solutions for different variants of the problem, as well as a faster approximation.
机译:最近,提出了一种新的模式匹配范例,与地址错误进行模式匹配。在该范式中,研究了近似字符串匹配问题,其中内容未被置换,并且仅不同条目的位置可能会改变。具体而言,定义了这一新范式中的广泛问题 - 重排误差类别。在这种类型的错误中,通过一系列重排操作来改变模式,每个重排操作具有相关成本。考虑了天然E_1和E_2重排系统。 e_1重排距离问题的变型似乎更加困难 - 模式是可能具有重复符号的一般串。为常规情况提供的最佳算法是O(nm)。在本文中,我们表明即使是一般字符串也可以在线性时间近似问题!本文还考虑了另一个自然重新排列系统 - E_‖重新排列距离。对于这种新的重新排列系统,我们为解决问题的不同变体提供有效的精确解决方案,以及更快的近似。

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