An Efficient Algorithm for Mixed Domination on Generalized Series-Parallel Graphs

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dc.contributor.author Rajaati, M en
dc.contributor.author Hooshmandasl, MR en
dc.contributor.author Shakiba, A en
dc.contributor.author Sharifani, P en
dc.contributor.author Dinneen, Michael en
dc.date.accessioned 2019-03-13T00:30:52Z en
dc.date.issued 2018 en
dc.identifier.citation Journal of Algebraic Structures and Their Applications 5(1):23-39 Article number 2 2018 en
dc.identifier.issn 2382-9761 en
dc.identifier.uri http://hdl.handle.net/2292/45950 en
dc.description.abstract A mixed dominating set S of a graph G=(V,E) is a subset of vertices and edges like S⊆V∪E such that each element v∈(V∪E)∖S is adjacent or incident to at least one element in S. The mixed domination number γm(G) of a graph G is the minimum cardinality among all mixed dominating sets in G. The problem of finding γm(G) is known to be NP-complete. In this paper, we present an explicit polynomial-time algorithm using the parse tree to construct a mixed dominating set of size γm(G) where G is a generalized series-parallel graph. en
dc.relation.ispartofseries Journal of Algebraic Structures and Their Applications en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.title An Efficient Algorithm for Mixed Domination on Generalized Series-Parallel Graphs en
dc.type Journal Article en
dc.identifier.doi 10.29252/asta.5.1.23 en
pubs.issue 1 en
pubs.begin-page 23 en
pubs.volume 5 en
dc.rights.holder Copyright: Yazd University en
pubs.author-url http://as.yazd.ac.ir/article_1208.html en
pubs.end-page 39 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Article en
pubs.elements-id 758671 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.arxiv-id 1708.00240 en
pubs.number 2 en


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