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zbMATH Open
Article . 1996
Data sources: zbMATH Open
INFORMS Journal on Computing
Article . 1996 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1996
Data sources: DBLP
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A Branch and Cut Algorithm for a Steiner Tree-Star Problem

A branch and cut algorithm for a Steiner tree-star problem
Authors: Youngho Lee; Steve Y. Chiu; Jennifer Ryan;

A Branch and Cut Algorithm for a Steiner Tree-Star Problem

Abstract

This paper deals with a Steiner tree-star problem that is a special case of the degree constrained node-weighted Steiner tree problem. This problem arises in the context of designing telecommunications networks for digital data service, provided by regional telephone companies. In this paper, we develop an effective branch and cut procedure coupled with a suitable separation procedure that identifies violated facets for fractional solutions to the relaxed formulation. Computational results indicate that large problem instances with up to 200 nodes can be solved within acceptable time bounds.

Related Organizations
Keywords

degree constrained node-weighted Steiner tree problem, Steiner tree-star problem, Communication networks in operations research, Programming involving graphs or networks, telecommunications networks

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Average
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