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The smallest grammar problem revisited
IEEE Transactions on Information Theory ( IF 2.2 ) Pub Date : 2021-01-01 , DOI: 10.1109/tit.2020.3038147
Hideo Bannai , Momoko Hirayama , Danny Hucke , Shunsuke Inenaga , Artur Jez , Markus Lohrey , Carl Philipp Reh

In a seminal paper, Charikar et al. 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 LZ78 and BISECTION are closed by showing that the approximation ratio of LZ78 is $\Theta ((\text {n}/\log \text {n})^{2/3})$ , whereas the approximation ratio of BISECTION is $\Theta (\sqrt {\text {n}/\log \text {n}})$ . In addition, the lower bound for RePair is improved from $\Omega (\sqrt {\log \text {n}})$ to $\Omega (\log \text {n}/\log \log \text {n})$ . Finally, results of Arpe and Reischuk relating grammar-based compression for arbitrary alphabets and binary alphabets are improved.

中文翻译:

重温最小的语法问题

在一篇开创性的论文中,Charikar 等。导出几个基于语法的压缩器的近似比率的上限和下限,但在所有情况下,下限和上限之间都存在差距。这里的差距为LZ78平分 通过显示近似比率来关闭 LZ78 $\Theta ((\text {n}/\log \text {n})^{2/3})$ ,而近似比为 平分 $\Theta (\sqrt {\text {n}/\log \text {n}})$ . 此外,下限为修理 改进自 $\Omega (\sqrt {\log \text {n}})$ $\Omega (\log \text {n}/\log \log \text {n})$ . 最后,改进了 Arpe 和 Reischuk 对任意字母和二进制字母的基于语法的压缩的结果。
更新日期:2021-01-01
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