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All Pairs Suffix-Prefix Matches using Enhanced Suffix Array

机译:使用增强后缀数组的所有对后缀前缀匹配

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The problem of ‘all-pairs suffix-prefix overlap’ has been studied earlier using the generalized suffix tree (GST) and generalized suffix array (GSA). An alternative form of generalized enhanced suffix array (GESA), name Alternative-GESA or AGESA was introduced and used to compute suffix-prefix-overlap. This study didn’t consider multiple sentinel character in Alternative-GESA. It also exploited how to use AGESA without sentinel characters for the ‘all-pair suffix-prefix overlap’ problem. In this approach, proposed algorithms utilized the advantage of locality-of-reference for matching suffixes, those occur enough apart in actual GSA or GESA due to the high ASCII value of sentinel characters. All-pairs suffix-prefix overlap was computed in $O(n)+o(m^{2})$ time and space complexity, where m and n are the total number and total length of all input strings, respectively.
机译:前面已经使用广义后缀树(GST)和广义后缀数组(GSA)研究了“所有对后缀-前缀重叠”的问题。引入了另一种形式的广义增强后缀数组(GESA),名称为Alternative-GESA或AGESA,用于计算后缀-前缀-重叠。这项研究未考虑“替代GESA”中的多个前哨角色。它还利用了如何使用不带前哨字符的AGESA解决“全对后缀-前缀重叠”问题。在这种方法中,提出的算法利用参考位置的优势来匹配后缀,由于后哨字符的ASCII值很高,因此它们在实际GSA或GESA中相距足够远。所有对后缀-前缀重叠的计算均采用$ O(n)+ o(m ^ {2})$的时间和空间复杂度,其中m和n分别是所有输入字符串的总数和总长度。

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