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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 zbMATH Openarrow_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
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INFORMS Journal on Computing
Article . 1990 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1990
Data sources: DBLP
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An Algorithm for Network Reliability Bounds

An algorithm for network reliability bounds
Authors: Che-Liang Yang; Peter Kubat;

An Algorithm for Network Reliability Bounds

Abstract

We provide a new algorithm for assessing network reliability (and performability, the more general case). As in some well-known approaches, the algorithm identifies most probable states in iterations and provides converging upper and lower bounds after each iteration. The algorithm distinguishes itself by providing superior bounds after the same number of iterations. In some instances, the algorithm can even find the exact reliability in a small number of iterations. The time complexity for each iteration, excluding the time for computing the performance value of a generated state, is only O(n) (where n is the number of components), which is the same as any existing optimal algorithm for enumerating most probable states. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

Keywords

Stochastic network models in operations research, Reliability, availability, maintenance, inspection in operations research, Computational methods for problems pertaining to operations research and mathematical programming, upper and lower bounds, network reliability, Abstract computational complexity for mathematical programming problems

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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!
15
Average
Top 10%
Average
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