Computing the longest common subsequence of two run-length encoded strings

3Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The present article reveals that the problem of finding the longest common subsequence of two strings given in run-length encoded form can be solved in O(mnlog log min(m, n, M/m, N/n, X)) time, where one input string is of length M with m runs, the other is of length N with n runs, and X is the average difference between the length of a run from one input string and that of a run from the other. © Springer-Verlag 2012.

Cite

CITATION STYLE

APA

Sakai, Y. (2012). Computing the longest common subsequence of two run-length encoded strings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7676 LNCS, pp. 197–206). Springer Verlag. https://doi.org/10.1007/978-3-642-35261-4_23

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free