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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of the Opera...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of the Operational Research Society
Article . 1992 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1992
Data sources: zbMATH Open
Journal of the Operational Research Society
Article . 1992 . Peer-reviewed
Data sources: Crossref
Journal of the Operational Research Society
Article . 1992 . Peer-reviewed
Data sources: Crossref
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Bounding the Reliability of Networks

Bounding the reliability of networks
Authors: Shier, D. R.; Liu, N.;

Bounding the Reliability of Networks

Abstract

Summary: Various applied problems require the analysis of systems with randomly failing elements. A typical such instance occurs in assessing the reliability of a transportation or communication network, in which the individual links fail independently with known probabilities. One is then interested in the probability that goods or information will be successfully transported from some source location to some terminal location. Exact calculation of this probability is known to be difficult, so this paper develops a method for obtaining lower and upper bounds on the required value. In fact, our procedure yields a sequence of matched lower and upper bounds, which can be monitored as the algorithm progresses. Rather than simply producing a numerical value, the method produces a functional (symbolic) form for the answer, especially useful for subsequent sensitivity analyses.

Related Organizations
Keywords

lower and upper bounds, Stochastic network models in operations research, Reliability, availability, maintenance, inspection in operations research, Communication networks in operations research, systems with randomly failing elements

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    popularity
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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!
3
Average
Average
Average
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