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We present a Markov chain Monte Carlo method for class throughputs in closed multiclass product-form networks. The method is as follows. For a given network, we construct a “regularized” network with a highly simplified structure that has the same steady-state distribution. We then simulate the...
Different universal methods (also called automatic or black-box methods) have been suggested for sampling form univariate log-concave distributions. The descriptioon of a suitable universal generator for multivariate distributions in arbitrary dimensions has not been published up to now. The new...
In this article, we present semantic translations for the actions of ॖDemos, a proocess-based, discrete event simulation language. Our formal translation schema permits the automatic construction of a process algebraic representatioon of the underlying simulation model which can then be checked...
This article describes a method for analyzing, modeling, and simulating a two-level arrival-counting process. This method is particlarly appropriate when the number of independent processes is large, as is the case in our motivating application which requires analyzing and representing computer...
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