The smallest grammar problem revisited
August 18, 2019 Β· Declared Dead Β· π IEEE Transactions on Information Theory
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Authors
Hideo Bannai, Momoko Hirayama, Danny Hucke, Shunsuke Inenaga, Artur Jez, Markus Lohrey, Carl Philipp Reh
arXiv ID
1908.06428
Category
cs.DS: Data Structures & Algorithms
Citations
22
Venue
IEEE Transactions on Information Theory
Last Checked
3 months ago
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 $\mathsf{LZ78}$ and $\mathsf{BISECTION}$ are closed by showing that the approximation ratio of $\mathsf{LZ78}$ is $Ξ( (n/\log n)^{2/3})$, whereas the approximation ratio of $\mathsf{BISECTION}$ is $Ξ(\sqrt{n/\log n})$. In addition, the lower bound for $\mathsf{RePair}$ is improved from $Ξ©(\sqrt{\log n})$ to $Ξ©(\log n/\log\log n)$. Finally, results of Arpe and Reischuk relating grammar-based compression for arbitrary alphabets and binary alphabets are improved.
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