2009
DOI: 10.1016/j.tcs.2008.12.036
|View full text |Cite
|
Sign up to set email alerts
|

Improved approximation bounds for edge dominating set in dense graphs

Abstract: a b s t r a c tWe analyze the simple greedy algorithm that iteratively removes the endpoints of a maximum-degree edge in a graph, where the degree of an edge is the sum of the degrees of its endpoints. This algorithm provides a 2-approximation to the minimum edge dominating set and minimum maximal matching problems. We refine its analysis and give an expression of the approximation ratio that is strictly less than 2 in the cases where the input graph has n vertices and at least n 2 edges, for > 1/2. This ratio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
10
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 21 publications
(10 citation statements)
references
References 20 publications
(17 reference statements)
0
10
0
Order By: Relevance
“…32 and 33] Table 2: Complexity status for various values of p and q: on tournaments Related Work: On undirected graphs Edge Dominating Set, also known as Maximum Minimal Matching, is NP-complete even on bipartite, planar, bounded degree graphs as well as other special cases [37,25]. It can be approximated within a factor of 2 [20] (or better in some special cases [9,32,2]), but not a factor better than 7/6 [10] unless P=NP. The problem has been the subject of intense study in the parameterized and exact algorithms community [35], producing a series of improved FPT algorithms [18,4,19,33]; the current best is given in [26].…”
Section: Range Of P Qmentioning
confidence: 99%
“…32 and 33] Table 2: Complexity status for various values of p and q: on tournaments Related Work: On undirected graphs Edge Dominating Set, also known as Maximum Minimal Matching, is NP-complete even on bipartite, planar, bounded degree graphs as well as other special cases [37,25]. It can be approximated within a factor of 2 [20] (or better in some special cases [9,32,2]), but not a factor better than 7/6 [10] unless P=NP. The problem has been the subject of intense study in the parameterized and exact algorithms community [35], producing a series of improved FPT algorithms [18,4,19,33]; the current best is given in [26].…”
Section: Range Of P Qmentioning
confidence: 99%
“…There also exist algorithms that approach γ(G) within a factor strictly smaller than 2, see e.g. [6,7,12,19], yet most of this work seems to have focused on the general case or on very dense graphs. In this paper, we instead focus on sparse graphs.…”
Section: Introductionmentioning
confidence: 99%
“…There are also some results in the literature that investigates the MMM problem from an approximation point of view, see e.g., [11,12]. The MWMM problem is used in applications where it is desirable to obtain a maximum weighted matching in a network (with positive edge weights) when the user has no control on the edges that are going to be selected in the matching.…”
Section: Introductionmentioning
confidence: 99%