Simulation

Control Techniques for Complex Networks - Chapter 11 is devoted to simulation.

C. Pandit, and S.P. Meyn, Worst-Case Large-Deviations Asymptotics with Application to Queueing and Information Theory. Stochastic Processes and Applications 116(5) pp. 724-756, 2006.

S.P. Meyn, Large Deviation Asymptotics and Control Variates for Simulating Large Functions. Annals Appl. Prob. 16(1) pp. 310-339, 2006.

V. Tadic, S.P. Meyn and R. Tempo, Randomized Algorithms for Semi-Infinite Programming Problems. Probabilistic and Randomized Methods for Design under Uncertainty, Springer Verlag, 2005.

S.P. Meyn, Workload Models for Stochastic Networks: Value Functions and Performance Evaluation, IEEE Transactions on Automatic Control 50(8) pp. 1106-1122, 2005.
Details from a recent presentation

V. Borkar and S.P. Meyn, Value Functions and Performance Evaluation in Stochastic Network Models. Proceedings of the 42nd IEEE Conference on Decision and Control, December 9-12, 2003, Maui, Hawaii.

S. G. Henderson, S. P. Meyn and V. B. Tadic, Performance Evaluation and Policy Selection in Multiclass Networks , Invited paper, Discrete Event Dynamic Systems: Theory and Applications. Volume 13, pp. 149-189, 2003. (also available in pdf format)
Details from a recent presentation

S. G. Henderson and S. P. Meyn, Variance Reduction for Simulation in Multiclass Queueing Networks. To appear, IIE Transactions on Operations Engineering, 2005.

Glynn, P. and S. Meyn A Lyapunov Bound for Solutions of Poisson's Equation, Annals of Probability, Vol. 24, April, 1996.

Meyn, S.P. and R. Tweedie, Markov Chains & Stochastic Stability, Springer-Verlag, N.Y.

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