Some Algorithmic Results on Restrained Domination in Graphs
Abstract
A set of a graph is called a restrained dominating set of if every vertex not in is adjacent to a vertex in and to a vertex in . The \textsc{Minimum Restrained Domination} problem is to find a restrained dominating set of minimum cardinality. Given a graph , and a positive integer , the \textsc{Restrained Domination Decision} problem is to decide whether has a restrained dominating set of cardinality a most . The \textsc{Restrained Domination Decision} problem is known to be NP-complete for chordal graphs. In this paper, we strengthen this NP-completeness result by showing that the \textsc{Restrained Domination Decision} problem remains NP-complete for doubly chordal graphs, a subclass of chordal graphs. We also propose a polynomial time algorithm to solve the \textsc{Minimum Restrained Domination} problem in block graphs, a subclass of doubly chordal graphs. The \textsc{Restrained Domination Decision} problem is also known to be NP-complete for split graphs. We propose a polynomial time algorithm to compute a minimum restrained dominating set of threshold graphs, a subclass of split graphs. In addition, we also propose polynomial time algorithms to solve the \textsc{Minimum Restrained Domination} problem in cographs and chain graphs. Finally, we give a new improved upper bound on the restrained domination number, cardinality of a minimum restrained dominating set in terms of number of vertices and minimum degree of graph. We also give a randomized algorithm to find a restrained dominating set whose cardinality satisfy our upper bound with a positive probability.
Cite
@article{arxiv.1606.02340,
title = {Some Algorithmic Results on Restrained Domination in Graphs},
author = {Arti Pandey and B. S. Panda},
journal= {arXiv preprint arXiv:1606.02340},
year = {2016}
}