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Combining importance sampling and temporal difference control variates to simulate Markov Chains
R. S. Randhawa, S. Juneja
It is well known that in estimating performance measures associated with a stochastic system a good importance sampling distribution (IS) can give orders of magnitude of variance reduction while a bad one may lead to large, even infinite, variance....
Time-space consistency in large-scale distributed virtual environments
Suiping Zhou, Wentong Cai, Bu-Sung Lee, Stephen J. Turner
Maintaining a consistent view of the simulated world among different simulation nodes is a fundamental problem in large-scale distributed virtual environments (DVEs). In this paper, we characterize this problem by quantifying the time-space...
Modeling train movements through complex rail networks
Quan Lu, Maged Dessouky, Robert C. Leachman
Trains operating in densely populated metropolitan areas typically encounter complex trackage configurations. To make optimal use of the available rail capacity, some portions of the rail network may consist of single-track lines while other...
To batch or not to batch?
Christos Alexopoulos, David Goldsman
When designing steady-state computer simulation experiments, one may be faced with the choice of batching observations in one long run or replicating a number of smaller runs. Both methods are potentially useful in the course of undertaking...