Solving Cyclic Longest Common Subsequence in Quadratic Time
Andy Nguyen

TL;DR
This paper introduces a practical quadratic-time algorithm for the cyclic longest common subsequence problem, emphasizing simplicity and ease of implementation over asymptotic improvements.
Contribution
The paper presents a new, simpler algorithm for CLCS that operates in quadratic time, making it more accessible for practical use.
Findings
Algorithm runs in O(mn) time
Simpler to understand and implement than previous methods
Provides a practical solution for CLCS
Abstract
We present a practical algorithm for the cyclic longest common subsequence (CLCS) problem that runs in O(mn) time, where m and n are the lengths of the two input strings. While this is not necessarily an asymptotic improvement over the existing record, it is far simpler to understand and to implement.
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Taxonomy
TopicsAlgorithms and Data Compression · Coding theory and cryptography · DNA and Biological Computing
