Maximal common subsequence algorithms

Yoshifumi Sakai

doi:10.1016/j.tcs.2019.06.020

Maximal common subsequence algorithms

Yoshifumi Sakai

AGR - Bioscience and Biotechnology for Future Bioindustries

Research output: Contribution to journal › Article › peer-review

Abstract

A common subsequence of two strings is maximal if inserting any character into it no longer yields a common subsequence. The present article proposes a (sub)linearithmic-time, linear-space algorithm for finding a maximal common subsequence of two strings and a linear-time algorithm for determining if a common subsequence of two strings is maximal.

Original language	English
Pages (from-to)	132-139
Number of pages	8
Journal	Theoretical Computer Science
Volume	793
DOIs	https://doi.org/10.1016/j.tcs.2019.06.020
Publication status	Published - 2019 Nov 12

Keywords

Algorithms
Longest common subsequence
String comparison

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1016/j.tcs.2019.06.020

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abstract = "A common subsequence of two strings is maximal if inserting any character into it no longer yields a common subsequence. The present article proposes a (sub)linearithmic-time, linear-space algorithm for finding a maximal common subsequence of two strings and a linear-time algorithm for determining if a common subsequence of two strings is maximal.",

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