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Recompression: Technique for Word Equations and Compressed Data

机译:重新压缩:单词方程式和压缩数据的技术

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In this talk I will present the recompression technique on the running example of word equations. In word equation problem we are given an equation u = v, where both u and v are words of letters and variables, and ask for a substitution of variables by words that, equalizes the sides of the equation. The recompression technique is based on employing simple compression rules (replacement of two letters ab by a new letter c, replacement of maximal repetitions of a by a new letter), and modifying the equations (replacing a variable X by bX or Xa) so that those operations are sound and complete. The simple analysis focuses on the size of the instance and not on the combinatorial properties of words that are used. The recompression-based algorithm for word equations runs in nondeterministic linear space. The approach turned out to be quite robust and can be applied to various generalized, simplified and related problems, in particular, to problems in the area of grammar compressed words. I will comment on some of those applications.
机译:在本次演讲中,我将介绍正在运行的单词方程式示例的重新压缩技术。在单词方程式问题中,我们得到一个方程式u = v,其中u和v都是字母和变量的单词,并要求用相等于方程式两边的单词替换变量。重新压缩技术基于采用简单的压缩规则(用一个新字母c替换两个字母ab,用一个新字母替换a的最大重复数),并修改方程式(用bX或Xa替换变量X)这些操作是健全而完整的。简单分析着重于实例的大小,而不着重于所使用单词的组合属性。基于重新压缩的单词方程式算法在不确定的线性空间中运行。事实证明该方法非常健壮,并且可以应用于各种广义,简化和相关的问题,尤其是应用于语法压缩词领域中的问题。我将对其中一些应用程序发表评论。

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