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About: Buzen's algorithm     Goto   Sponge   NotDistinct   Permalink

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Type: yago:WikicatStatisticalAlgorithmsyago:WikicatStochasticProcessesyago:Abstraction100002137yago:Act100030358yago:Activity100407535yago:Algorithm105847438yago:Cognition100023271yago:Concept105835747yago:Content105809192yago:Event100029378yago:Hypothesis105888929yago:Idea105833840yago:Model105890249yago:Procedure101023820yago:PsychologicalFeature100023100yago:YagoPermanentlyLocatedEntityyago:Rule105846932yago:StochasticProcess113561896yago:WikicatAlgorithms New Facet based on Instances of this Class

In queueing theory, a discipline within the mathematical theory of probability, Buzen's algorithm (or convolution algorithm) is an algorithm for calculating the normalization constant G(N) in the Gordon–Newell theorem. This method was first proposed by Jeffrey P. Buzen in 1973. Computing G(N) is required to compute the stationary probability distribution of a closed queueing network.