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Degree sums and dense spanning trees

Finding dense spanning trees (DST) in unweighted graphs is a variation of the well studied minimum spanning tree problem (MST). We utilize established mathematical properties of extremal structures with the minimum sum of distances between vertices to formulate some general conditions on the sum of...

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Detalles Bibliográficos
Autores principales: Li, Tao, Gao, Yingqi, Dong, Qiankun, Wang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605090/
https://www.ncbi.nlm.nih.gov/pubmed/28926585
http://dx.doi.org/10.1371/journal.pone.0184912
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author Li, Tao
Gao, Yingqi
Dong, Qiankun
Wang, Hua
author_facet Li, Tao
Gao, Yingqi
Dong, Qiankun
Wang, Hua
author_sort Li, Tao
collection PubMed
description Finding dense spanning trees (DST) in unweighted graphs is a variation of the well studied minimum spanning tree problem (MST). We utilize established mathematical properties of extremal structures with the minimum sum of distances between vertices to formulate some general conditions on the sum of vertex degrees. We analyze the performance of various combinations of these degree sum conditions in finding dense spanning subtrees and apply our approach to practical examples. After briefly describing our algorithm we also show how it can be used on variations of DST, motivated by variations of MST. Our work provide some insights on the role of various degree sums in forming dense spanning trees and hopefully lay the foundation for finding fast algorithms or heuristics for related problems.
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spelling pubmed-56050902017-09-28 Degree sums and dense spanning trees Li, Tao Gao, Yingqi Dong, Qiankun Wang, Hua PLoS One Research Article Finding dense spanning trees (DST) in unweighted graphs is a variation of the well studied minimum spanning tree problem (MST). We utilize established mathematical properties of extremal structures with the minimum sum of distances between vertices to formulate some general conditions on the sum of vertex degrees. We analyze the performance of various combinations of these degree sum conditions in finding dense spanning subtrees and apply our approach to practical examples. After briefly describing our algorithm we also show how it can be used on variations of DST, motivated by variations of MST. Our work provide some insights on the role of various degree sums in forming dense spanning trees and hopefully lay the foundation for finding fast algorithms or heuristics for related problems. Public Library of Science 2017-09-19 /pmc/articles/PMC5605090/ /pubmed/28926585 http://dx.doi.org/10.1371/journal.pone.0184912 Text en © 2017 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Tao
Gao, Yingqi
Dong, Qiankun
Wang, Hua
Degree sums and dense spanning trees
title Degree sums and dense spanning trees
title_full Degree sums and dense spanning trees
title_fullStr Degree sums and dense spanning trees
title_full_unstemmed Degree sums and dense spanning trees
title_short Degree sums and dense spanning trees
title_sort degree sums and dense spanning trees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605090/
https://www.ncbi.nlm.nih.gov/pubmed/28926585
http://dx.doi.org/10.1371/journal.pone.0184912
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