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Article
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SIAM Journal on Applied Mathematics
Article . 1984 . Peer-reviewed
Data sources: Crossref
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A Priori Error Estimates for the Method of Inclusion-Exclusion with Applications

A priori error estimates for the method of inclusion-exclusion with applications
Authors: Heidtmann, Klaus D.;

A Priori Error Estimates for the Method of Inclusion-Exclusion with Applications

Abstract

Summary: The method of inclusion-exclusion can be used to obtain successive upper and lower bounds on the probability of the occurrence of complex events. Usually only the first upper and the first lower bound are considered. But as they can be crude, further bounds must not be excluded from methodical studies and practical computations. In this paper the errors of all inclusion-exclusion approximations are estimated. As a priori error estimates are independent of the actual computation of the bounds, they can precede. So the order of the approximation, being at least as close to the exact value as demanded, can be determined in advance. As a second point, the paper shows how to apply the method of inclusion- exclusion and the discussed a priori error bounds skillfully to approximate the reliability and the probability of connectivity for random graphs representing various structures.

Keywords

formula of Poincaré-Sylvester, connectivity for random graphs, Reliability, availability, maintenance, inspection in operations research, successive upper and lower bounds, Bonferroni bounds, method of inclusion-exclusion, fault tolerance, probability of the occurrence of complex events, reliability approximation

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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!
1
Average
Average
Average
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