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        <identifier>oai:drops-oai.dagstuhl.de:21174</identifier>
        <datestamp>2024-09-23T09:13:18Z</datestamp>
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          <dc:title>A Faster Algorithm for the 4-Coloring Problem</dc:title>
          <dc:creator>Wu, Pu</dc:creator>
          <dc:creator>Gu, Huanyu</dc:creator>
          <dc:creator>Jiang, Huiqin</dc:creator>
          <dc:creator>Shao, Zehui</dc:creator>
          <dc:creator>Xu, Jin</dc:creator>
          <dc:subject>Graph coloring</dc:subject>
          <dc:subject>Graph algorithms</dc:subject>
          <dc:subject>Exact algorithms</dc:subject>
          <dc:description>We explore the 4-coloring problem, a fundamental combinatorial NP-hard problem. Given a graph G, the 4-coloring problem asks whether there exists a function f from the vertex set of G to {1,2,3,4} such that f(u)≠ f(v) for each edge uv of G. Such function f is referred to as a 4-coloring of G. The fastest known algorithm for the 4-coloring problem, introduced by Fomin, Gaspers, and Saurabh (COCOON 2007), exhibits a time complexity of O(1.7272ⁿ) and exponential space.&#13;
In this paper, we propose an enhanced algorithm for the 4-coloring problem with a time complexity of O(1.7159ⁿ) and polynomial space. Our algorithm is deterministic and built upon a novel method. Specifically, inspired by previous algorithmic approaches for the 4-coloring problem, such as the aforementioned O(1.7272ⁿ) time algorithm, we consider the instance (G,I,S), where G is a graph and I,S are subsets of its vertex set representing vertices colored with 1 and vertices unable to be colored with 1, respectively. For a given instance (G,I,S), we aim to determine the existence of a 4-coloring f of G such that f(v) = 1 for v ∈ I and f(v)≠ 1 for v ∈ S.&#13;
Our key innovation lies in recognizing that, leveraging certain combinatorial properties, the instance (G,I,S) can be efficiently solved when G-I-S is a union of K₃’s and K₄’s (where K₃ and K₄ denote complete graphs with 3 and 4 vertices, respectively). The ability to efficiently solve instances (G,I,S), where G-I-S is comprised solely of K₃’s and K₄’s, enables us to devise a branching algorithm capable of efficiently addressing instances (G,I,S), where G-I-S is not a union of K₃’s and K₄’s (the other case). Based on this innovative method, we derive our final enhanced algorithm.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Pu Wu and Huanyu Gu and Huiqin Jiang and Zehui Shao and Jin Xu</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 308, 32nd Annual European Symposium on Algorithms (ESA 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2024.103</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-211749</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2024.103</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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