Tobias Mömke ; Alexandru Popa ; Aida Roshany-Tabrizi ; Michael Ruderer ; Roland Vincze - Approximating Maximum Edge 2-Coloring by Normalizing Graphs

dmtcs:13212 - Discrete Mathematics & Theoretical Computer Science, May 1, 2025, vol. 27:2 - https://doi.org/10.46298/dmtcs.13212
Approximating Maximum Edge 2-Coloring by Normalizing GraphsArticle

Authors: Tobias Mömke ORCID; Alexandru Popa ; Aida Roshany-Tabrizi ORCID; Michael Ruderer ORCID; Roland Vincze

    In a simple, undirected graph G, an edge 2-coloring is a coloring of the edges such that no vertex is incident to edges with more than 2 distinct colors. The problem maximum edge 2-coloring (ME2C) is to find an edge 2-coloring in a graph G with the goal to maximize the number of colors. For a relevant graph class, ME2C models anti-Ramsey numbers and it was considered in network applications. For the problem a 2-approximation algorithm is known, and if the input graph has a perfect matching, the same algorithm has been shown to have a performance guarantee of 5/3. It is known that ME2C is APX-hard and that it is UG-hard to obtain an approximation ratio better than 1.5. We show that if the input graph has a perfect matching, there is a polynomial time 1.625-approximation and if the graph is claw-free or if the maximum degree of the input graph is at most three (i.e., the graph is subcubic), there is a polynomial time 1.5-approximation algorithm for ME2C

    Comment: 24 pages, 6 figures, preliminary version published at WAOA 2023


    Volume: vol. 27:2
    Section: Discrete Algorithms
    Published on: May 1, 2025
    Accepted on: March 3, 2025
    Submitted on: March 12, 2024
    Keywords: Computer Science - Discrete Mathematics, Computer Science - Data Structures and Algorithms
    Funding:
      Source : OpenAIRE Graph
    • Deep Drug Discovery and Deployment; Funder: Fundação para a Ciência e a Tecnologia, I.P.; Code: PTDC/CCI-BIO/29266/2017

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