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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5605090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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