The smallest grammar problem revisited

August 18, 2019 Β· Declared Dead Β· πŸ› 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 $Θ( (n/\log n)^{2/3})$, whereas the approximation ratio of $\mathsf{BISECTION}$ is $Θ(\sqrt{n/\log n})$. In addition, the lower bound for $\mathsf{RePair}$ is improved from $Ω(\sqrt{\log n})$ to $Ω(\log n/\log\log n)$. Finally, results of Arpe and Reischuk relating grammar-based compression for arbitrary alphabets and binary alphabets are improved.
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