Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Heavy Traffic Analysis of Two Coupled Processors
Queueing Systems: Theory and Applications
LARGE DEVIATIONS ANALYSIS OF A COUPLED-PROCESSORS SYSTEM
Probability in the Engineering and Informational Sciences
THE DEVIATION MATRIX OF A CONTINUOUS-TIME MARKOV CHAIN
Probability in the Engineering and Informational Sciences
Series Expansions for Continuous-Time Markov Processes
Operations Research
Computers & Mathematics with Applications
Computers & Mathematics with Applications
A functional approximation for the M/G/1/N queue
Discrete Event Dynamic Systems
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This article provides series expansions of the stationary distribution of a finite Markov chain. This leads to an efficient numerical algorithm for computing the stationary distribution of a finite Markov chain. Numerical examples are given to illustrate the performance of the algorithm.