Four-Coloring [math]-Free Graphs. I. Extending an Excellent Precoloring

IF 1.2 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Maria Chudnovsky, Sophie Spirkl, Mingxian Zhong
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引用次数: 0

Abstract

SIAM Journal on Computing, Volume 53, Issue 1, Page 111-145, February 2024.
Abstract. This is the first paper in a series whose goal is to give a polynomial-time algorithm for the 4-coloring problem and the 4-precoloring extension problem restricted to the class of graphs with no induced six-vertex path, thus proving a conjecture of Huang. Combined with previously known results, this completes the classification of the complexity of the 4-coloring problem for graphs with a connected forbidden induced subgraph. In this paper we give a polynomial-time algorithm that determines if a special kind of precoloring of a [math]-free graph has a precoloring extension, and constructs such an extension if one exists. Combined with the main result of the second paper of the series, this gives a complete solution to the problem.
无四色[数学]图形。I. 扩展出色的预着色
SIAM 计算期刊》,第 53 卷第 1 期,第 111-145 页,2024 年 2 月。 摘要这是该系列的第一篇论文,其目的是给出一种多项式时间算法,用于解决仅限于无诱导六顶点路径的图类的 4-着色问题和 4-预着色扩展问题,从而证明黄的一个猜想。结合之前已知的结果,这就完成了对具有连通禁止诱导子图的图的 4-着色问题复杂性的分类。在本文中,我们给出了一种多项式时间算法,它可以确定无[数学]图的一种特殊预着色是否有预着色扩展,如果存在,则构造这种扩展。结合本系列第二篇论文的主要结果,本文给出了问题的完整解决方案。
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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来源期刊
SIAM Journal on Computing
SIAM Journal on Computing 工程技术-计算机:理论方法
CiteScore
4.60
自引率
0.00%
发文量
68
审稿时长
6-12 weeks
期刊介绍: The SIAM Journal on Computing aims to provide coverage of the most significant work going on in the mathematical and formal aspects of computer science and nonnumerical computing. Submissions must be clearly written and make a significant technical contribution. Topics include but are not limited to analysis and design of algorithms, algorithmic game theory, data structures, computational complexity, computational algebra, computational aspects of combinatorics and graph theory, computational biology, computational geometry, computational robotics, the mathematical aspects of programming languages, artificial intelligence, computational learning, databases, information retrieval, cryptography, networks, distributed computing, parallel algorithms, and computer architecture.
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