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https://doi.org/10.1145/76738....
Article . 1989 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1109/wsc.19...
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Marked event method in discrete event simulation

Authors: null Shu Li;

Marked event method in discrete event simulation

Abstract

In this paper, we develop a new method for sensitivity analysis of discrete event dynamic systems. The method is based on the observation that event lists under nominal system parameters can be shared by simulations with slightly perturbed parameters. Thus the simulation on different system configurations may be more efficient. The resulting algorithm is exact for Markovian systems, and approximate for non-Markovian systems. Experimental results are given to study the new algorithms.

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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!
0
Average
Average
Average