H Bannai, D Köppl - arXiv preprint arXiv:2202.07189, 2022 - arxiv.org
We present an algorithm computing the longest periodic subsequence of a string of length $ n $ in $ O (n^ 7) $ time with $ O (n^ 4) $ words of space. We obtain improvements when …
Given a string T with length n whose characters are drawn from an ordered alphabet of size σ, its longest Lyndon subsequence is a longest subsequence of T that is a Lyndon word. We …
Given a string T of length n whose characters are drawn from an ordered alphabet of size σ, its longest Lyndon subsequence is a maximum-length subsequence of T that is a Lyndon …
H Bannai, I Tomohiro, D Köppl - Information Processing Letters, 2023 - Elsevier
We present an algorithm computing the longest periodic subsequence of a string of length n in O (n 7) time with O (n 3) space. We obtain improvements when restricting the exponents …
Y Wang - arXiv preprint arXiv:2301.03827, 2023 - arxiv.org
Given several number sequences, determining the longest common subsequence is a classical problem in computer science. This problem has applications in bioinformatics …
In recent years, the Bangla language has come out as a very prominent figure in the world of natural language processing. Many researchers have produced exemplary works on the …
Certain nucleotide sequences in DNA can change their positions. Such nucleotide sequences might be shorter than a general gene. When we restrict to nucleotide sequences …
Strings are fundamental objects in computer science. Modern applications such as text processing, bioinformatics, and distributed data storage systems often need to deal with very …
Given a string T with length n whose characters are drawn from an ordered alphabet of size σ, its longest Lyndon subsequence is a longest subsequence of T that is a Lyndon word. We …