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 |