The smallest grammar problem revisited
Data Structures and Algorithms
2019-08-20 v1
Abstract
In a seminal paper of Charikar et al. on the smallest grammar problem, the authors derive upper and lower bounds on the approximation ratios for several grammar-based compressors, but in all cases there is a gap between the lower and upper bound. Here the gaps for and are closed by showing that the approximation ratio of is , whereas the approximation ratio of is . In addition, the lower bound for is improved from to . Finally, results of Arpe and Reischuk relating grammar-based compression for arbitrary alphabets and binary alphabets are improved.
Keywords
Cite
@article{arxiv.1908.06428,
title = {The smallest grammar problem revisited},
author = {Hideo Bannai and Momoko Hirayama and Danny Hucke and Shunsuke Inenaga and Artur Jez and Markus Lohrey and Carl Philipp Reh},
journal= {arXiv preprint arXiv:1908.06428},
year = {2019}
}
Comments
A short version of this paper appeared in the Proceedings of SPIRE 2016. This work has been supported by the DFG research project LO 748/10-1 (QUANT-KOMP)