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Theoretical Computer Science
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Theoretical Computer Science
Article . 2013
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 2013 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
DBLP
Article . 2013
Data sources: DBLP
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On the mixed domination problem in graphs

Authors: James K. Lan; Gerard Jennhwa Chang;

On the mixed domination problem in graphs

Abstract

A mixed dominating set of a simple graph G=(V,E) is a subset [email protected][email protected]?E such that every vertex or edge not in D is adjacent or incident to at least one vertex or edge in D. The mixed domination problem is to determine a minimum mixed dominating set of G. This paper studies mixed domination in graphs from an algorithmic point of view. In particular, a linear-time labeling algorithm for the mixed domination problem in cacti is presented. In addition, we fix an incomplete proof of the NP-completeness of the mixed domination problem in split graphs Zhao et al. (2011) [23]. Finally, we establish a primal-dual algorithm for the mixed domination problem in trees.

Keywords

Theoretical Computer Science, Computer Science(all)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
hybrid