An estimate of the objective function optimum for the network Steiner problem

A complete weighted graph, (Formula presented.) , is considered. Let (Formula presented.) be some subset of vertices and, by definition, a Steiner tree is any tree in the graph G such that the set of the tree vertices includes set (Formula presented.). The Steiner tree problem consists of constructi...

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Main Authors: Kirzhner, V., Volkovich, Z., Ravve, E., Weber, G. W.
Format: Article
Published: Springer New York LLC 2016
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Online Access:http://eprints.utm.my/id/eprint/73854/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959108161&doi=10.1007%2fs10479-015-2068-1&partnerID=40&md5=e15420d1d346c3031b1525940dd891a0
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spelling my.utm.738542017-11-20T02:12:48Z http://eprints.utm.my/id/eprint/73854/ An estimate of the objective function optimum for the network Steiner problem Kirzhner, V. Volkovich, Z. Ravve, E. Weber, G. W. QA Mathematics A complete weighted graph, (Formula presented.) , is considered. Let (Formula presented.) be some subset of vertices and, by definition, a Steiner tree is any tree in the graph G such that the set of the tree vertices includes set (Formula presented.). The Steiner tree problem consists of constructing the minimum-length Steiner tree in graph G, for a given subset of vertices (Formula presented.) The effectively computable estimate of the minimal Steiner tree is obtained in terms of the mean value and the variance over the set of all Steiner trees. It is shown that in the space of the lengths of the graph edges, there exist some regions where the obtained estimate is better than the minimal spanning tree-based one. Springer New York LLC 2016 Article PeerReviewed Kirzhner, V. and Volkovich, Z. and Ravve, E. and Weber, G. W. (2016) An estimate of the objective function optimum for the network Steiner problem. Annals of Operations Research, 238 (1-2). pp. 315-328. ISSN 0254-5330 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959108161&doi=10.1007%2fs10479-015-2068-1&partnerID=40&md5=e15420d1d346c3031b1525940dd891a0
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Kirzhner, V.
Volkovich, Z.
Ravve, E.
Weber, G. W.
An estimate of the objective function optimum for the network Steiner problem
description A complete weighted graph, (Formula presented.) , is considered. Let (Formula presented.) be some subset of vertices and, by definition, a Steiner tree is any tree in the graph G such that the set of the tree vertices includes set (Formula presented.). The Steiner tree problem consists of constructing the minimum-length Steiner tree in graph G, for a given subset of vertices (Formula presented.) The effectively computable estimate of the minimal Steiner tree is obtained in terms of the mean value and the variance over the set of all Steiner trees. It is shown that in the space of the lengths of the graph edges, there exist some regions where the obtained estimate is better than the minimal spanning tree-based one.
format Article
author Kirzhner, V.
Volkovich, Z.
Ravve, E.
Weber, G. W.
author_facet Kirzhner, V.
Volkovich, Z.
Ravve, E.
Weber, G. W.
author_sort Kirzhner, V.
title An estimate of the objective function optimum for the network Steiner problem
title_short An estimate of the objective function optimum for the network Steiner problem
title_full An estimate of the objective function optimum for the network Steiner problem
title_fullStr An estimate of the objective function optimum for the network Steiner problem
title_full_unstemmed An estimate of the objective function optimum for the network Steiner problem
title_sort estimate of the objective function optimum for the network steiner problem
publisher Springer New York LLC
publishDate 2016
url http://eprints.utm.my/id/eprint/73854/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959108161&doi=10.1007%2fs10479-015-2068-1&partnerID=40&md5=e15420d1d346c3031b1525940dd891a0
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score 13.211869