An Optimal Algorithm for Sorting Pattern-Avoiding Sequences

Michal Opler
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Abstract

We present a deterministic comparison-based algorithm that sorts sequences avoiding a fixed permutation $\pi$ in linear time, even if $\pi$ is a priori unkown. Moreover, the dependence of the multiplicative constant on the pattern $\pi$ matches the information-theoretic lower bound. A crucial ingredient is an algorithm for performing efficient multi-way merge based on the Marcus-Tardos theorem. As a direct corollary, we obtain a linear-time algorithm for sorting permutations of bounded twin-width.
避免模式序列排序的最佳算法
我们提出了一种基于确定性比较的算法,即使 $\pi$ 是一个先验未知数,它也能在线性时间内对避免固定置换 $\pi$ 的序列进行排序。此外,乘法常数对模式$\pi$的依赖性符合信息论下限。基于马库斯-塔德定理的高效多向合并分析算法是一个关键要素。作为直接推论,我们得到了一种线性时间算法,用于对有界双宽的互变排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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