Skip to main contentSkip to search
Episciences
Open Access Journals
Sign in(new window)
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSectionsSpecial issuesAuthors
About
The journalIndexing
Boards
Publish
For authorsEthical charter
Submit
Discrete Mathematics & Theoretical Computer Science logo
Contact
|
Credits
eISSN 1365-8050
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. Approximating Maximu ...
Article

Approximating Maximum Edge 2-Coloring by Normalizing Graphs

Tobias Mömke ORCID, Alexandru Popa, Aida Roshany-Tabrizi ORCID, Michael Ruderer ORCID, Roland Vincze
Download article
Open on arXiv
Submitted on
March 12, 2024
Accepted on
March 3, 2025
Published on
May 1, 2025
Last modified on
May 1, 2025
Volume 27
vol. 27:2
Discrete Algorithms
DOI
10.46298/dmtcs.13212
License
Attribution 4.0 International (CC BY 4.0)
Fundação para a Ciência e a Tecnologia, I.P.
PTDC/CCI-BIO/29266/2017
Deep Drug Discovery and Deployment
Indicators
735
Views
2427
Downloads

Approximating Maximum Edge 2-Coloring by Normalizing Graphs

Tobias Mömke ORCID, Alexandru Popa, Aida Roshany-Tabrizi ORCID, Michael Ruderer ORCID, Roland Vincze
Abstract
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
Keywords
  • Computer Science - Discrete Mathematics
  • Computer Science - Data Structures and Algorithms
Mathematics Subject Classification 2020
  • 05C15 - Coloring of graphs and hypergraphs
  • 05C85 - Graph algorithms (graph-theoretic aspects)
  • 68Q25 - Analysis of algorithms and problem complexity
  • 68W25 - Approximation algorithms
Preview
Loading PDF preview...