Sennott, Linn I. Stochastic Dynamic Programming and the Control of Queueing Systems Wiley Series in Probability and Statistics
1. Edition October 1998 139.- Euro 1998. 354 Pages, Hardcover ISBN 978-0-471-16120-2 - John Wiley & Sons
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Short description A stochastic process is any process governed by laws of probability, ranging from the genetic probability of having brown eyes, to the chances of a line of cars passing a specific highway point. This book provides information on the latest techniques and statistical Markov process theory used in the control of queuing systems (e.g. using statistics and mathematics to solve congestion problems such as telephone or air traffic).
From the contents Optimization Criteria.
Finite Horizon Optimization.
Infinite Horizon Discounted Cost Optimization.
An Inventory Model.
Average Cost Optimization for Finite State Spaces.
Average Cost Optimization Theory for Countable State Spaces.
Computation of Average Cost Optimal Policies for Infinite State Spaces.
Optimization Under Actions at Selected Epochs.
Average Cost Optimization of Continuous Time Processes.