登录 注册

k-Coloring is Faster than Computing the Chromatic Number

🔗 访问原文
🔗 Access Paper

📝 摘要
Abstract

We prove that $k$-coloring on $n$-vertex graphs has a randomized algorithm running in time $(2-\varepsilon_k)^n$, where $\varepsilon_k>0$ for every fixed $k$. Previously, only the cases $k\leq 6$ were known to have faster solutions than the general $O^\star\bigl(2^n\bigr)$ time algorithm of [Björklund, Husfeldt, Koivisto, SICOMP 2009] that computes the chromatic number. We resolve this long-standing open problem by generalizing and combining tools from the $(k+2)$-coloring to $k$-list-coloring reduction of [Zamir, ICALP 2021] and the hypergraph-containers based approach in [Zamir, STOC 2023]. Together with new algorithms for list-coloring instances mixing long and short color lists, this yields an iterable reduction from $(k+1)$-list-coloring to $k$-list-coloring over fixed palettes.

📊 文章统计
Article Statistics

基础数据
Basic Stats

23 浏览
Views
0 下载
Downloads
27 引用
Citations

引用趋势
Citation Trend

阅读国家分布
Country Distribution

阅读机构分布
Institution Distribution

月度浏览趋势
Monthly Views

相关关键词
Related Keywords

影响因子分析
Impact Analysis

7.40 综合评分
Overall Score
引用影响力
Citation Impact
浏览热度
View Popularity
下载频次
Download Frequency

📄 相关文章
Related Articles

海洋智能分析Ocean AI Analysis

正在分析中,请稍候…Analyzing, please wait…
海洋智能体 🌊
海洋智能体
AI科研助手 · 2983篇文献
我看到你正在阅读一篇文献,需要我帮你解读摘要、推荐相关论文,或者分析研究方法论吗?