Approximating Maximum Edge 2-Coloring by Normalizing Graphs

被引:0
作者
Moemke, Tobias [1 ]
Popa, Alexandru [2 ]
Roshany-Tabrizi, Aida [1 ]
Ruderer, Michael [1 ]
Vincze, Roland [1 ]
机构
[1] Univ Augsburg, Augsburg, Germany
[2] Univ Bucharest, Bucharest, Romania
来源
APPROXIMATION AND ONLINE ALGORITHMS, WAOA 2023 | 2023年 / 14297卷
关键词
Approximation Algorithms; Edge; 2-Coloring; Matchings; ANTI-RAMSEY NUMBERS; RAINBOW NUMBERS; COLORINGS; ALGORITHMS;
D O I
10.1007/978-3-031-49815-2_3
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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 approximate to 1.667. 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.
引用
收藏
页码:29 / 44
页数:16
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