- Published 2006 in CSR

Given two strings (a text t of length n and a pattern p) and a natural number w, window subsequence problems consist in deciding whether p occurs as a subsequence of t and/or finding the number of size (at most) w windows of text t which contain pattern p as a subsequence, i.e. the letters of pattern p occur in the text window, in the same order as in p, but not necessarily consecutively (they may be interleaved with other letters). We are searching for subsequences in a text which is compressed using Lempel-Ziv-like compression algorithms, without decompressing the text, and we would like our algorithms to be almost optimal, in the sense that they run in time O(m) where m is the size of the compressed text. The pattern is uncompressed (because the compression algorithms are evolutive: various occurrences of a same pattern look different in the text).

@inproceedings{Cgielski2006WindowSP,
title={Window Subsequence Problems for Compressed Texts},
author={Patrick C{\'e}gielski and Ir{\`e}ne Guessarian and Yury Lifshits and Yuri V. Matiyasevich},
booktitle={CSR},
year={2006}
}