Suffix sorting via matching statistics

Zsuzsanna Lipt'ak, Francesco Masillo, S. Puglisi
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引用次数: 1

Abstract

We introduce a new algorithm for constructing the generalized suffix array of a collection of highly similar strings. As a first step, we construct a compressed representation of the matching statistics of the collection with respect to a reference string. We then use this data structure to distribute suffixes into a partial order, and subsequently to speed up suffix comparisons to complete the generalized suffix array. Our experimental evidence with a prototype implementation (a tool we call sacamats) shows that on string collections with highly similar strings we can construct the suffix array in time competitive with or faster than the fastest available methods. Along the way, we describe a heuristic for fast computation of the matching statistics of two strings, which may be of independent interest.
通过匹配统计进行后缀排序
介绍了一种构造高度相似字符串集合广义后缀数组的新算法。作为第一步,我们构造集合相对于引用字符串的匹配统计信息的压缩表示。然后,我们使用该数据结构将后缀按部分顺序分布,并随后加快后缀比较以完成广义后缀数组。我们使用原型实现(我们称之为sacamats的工具)的实验证据表明,在具有高度相似字符串的字符串集合上,我们可以在与最快可用方法竞争或更快的时间内构建后缀数组。在此过程中,我们描述了一种启发式方法,用于快速计算两个字符串的匹配统计量,这可能是独立的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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