English

An Optimal-Time RLBWT Construction in BWT-runs Bounded Space

Data Structures and Algorithms 2022-02-17 v1

Abstract

The compression of highly repetitive strings (i.e., strings with many repetitions) has been a central research topic in string processing, and quite a few compression methods for these strings have been proposed thus far. Among them, an efficient compression format gathering increasing attention is the run-length Burrows--Wheeler transform (RLBWT), which is a run-length encoded BWT as a reversible permutation of an input string on the lexicographical order of suffixes. State-of-the-art construction algorithms of RLBWT have a serious issue with respect to (i) non-optimal computation time or (ii) a working space that is linearly proportional to the length of an input string. In this paper, we present \emph{r-comp}, the first optimal-time construction algorithm of RLBWT in BWT-runs bounded space. That is, the computational complexity of r-comp is O(n+rlogr)O(n + r \log{r}) time and O(rlogn)O(r\log{n}) bits of working space for the length nn of an input string and the number rr of equal-letter runs in BWT. The computation time is optimal (i.e., O(n)O(n)) for strings with the property r=O(n/logn)r=O(n/\log{n}), which holds for most highly repetitive strings. Experiments using a real-world dataset of highly repetitive strings show the effectiveness of r-comp with respect to computation time and space.

Keywords

Cite

@article{arxiv.2202.07885,
  title  = {An Optimal-Time RLBWT Construction in BWT-runs Bounded Space},
  author = {Takaaki Nishimoto and Shunsuke Kanda and Yasuo Tabei},
  journal= {arXiv preprint arXiv:2202.07885},
  year   = {2022}
}
R2 v1 2026-06-24T09:40:22.352Z