Computing the Number of Longest Common Subsequences
Ronald I. Greenberg

TL;DR
This paper introduces simple and efficient algorithms to compute the number of distinct longest common subsequences and their embeddings for two input strings, improving understanding of sequence similarity.
Contribution
It presents novel algorithms for counting the number of LCS and LCS embeddings, which were not previously available in such simple forms.
Findings
Algorithms are efficient and straightforward
They accurately count the number of LCS and embeddings
Potential applications in sequence analysis and bioinformatics
Abstract
This note provides very simple, efficient algorithms for computing the number of distinct longest common subsequences of two input strings and for computing the number of LCS embeddings.
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Taxonomy
TopicsAlgorithms and Data Compression · Web Data Mining and Analysis · Network Packet Processing and Optimization
