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Article
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SIAM Journal on Computing
Article . 1974 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2017
Data sources: DBLP
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Optimum Communication Spanning Trees

Optimum communication spanning trees
Authors: T. C. Hu;

Optimum Communication Spanning Trees

Abstract

Given a set of nodes $N_i (i = 1,2, \cdots ,n)$ which may represent cities and a set of requirements $r_{ij} $ which may represent the number of telephone calls between $N_i $ and $N_j $, the problem is to build a spanning tree connecting these n nodes such that the total cost of communication of the spanning tree is a minimum among all spanning trees. The cost of communication for a pair of nodes is $r_{ij} $ multiplied by the sum of the distances of arcs which form the unique path connecting $N_i $ and $N_j $ in the spanning tree. Summing over all $\begin{pmatrix} n \\ 2 \ \end{pmatrix}$ pairs of nodes, we have the total cost of communication of the spanning tree. Note that the problem is different from the minimum spanning tree problem solved by Kruskal and Prim.

Keywords

Deterministic network models in operations research, Programming involving graphs or networks

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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!
190
Top 10%
Top 0.1%
Average
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