RLE edit distance in near optimal time.

arXiv (Cornell University)(2019)

引用 3|浏览1
暂无评分
摘要
We show that the edit distance between two run-length encoded strings of compressed lengths $m$ and $n$ respectively, can be computed in $mathcal{O}(mnlog(mn))$ time. This improves the previous record by a factor of $mathcal{O}(n/log(mn))$. The running time of our algorithm is within subpolynomial factors of being optimal, subject to the standard SETH-hardness assumption. This effectively closes a line of algorithmic research first started in 1993.
更多
查看译文
关键词
distance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要