Score: 0

Merging RLBWTs adaptively

Published: November 21, 2025 | arXiv ID: 2511.16953v2

By: Travis Gagie

Potential Business Impact:

Combines two compressed lists to make one faster.

Business Areas:
A/B Testing Data and Analytics

We show how we can merge two run-length compressed Burrows-Wheeler Transforms (RL-BWTs) into a run-length compressed extended Burrows-Wheeler Transform (eBWT) in $O (r)$ space and $\tilde O(r + L)$ time, where $r$ is the number of runs in the final eBWT and $L$ is the sum of the longest common prefix (LCP) values at the beginnings of those runs.

Page Count
7 pages

Category
Computer Science:
Data Structures and Algorithms