This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial engineering, production planning, and supply chain management. Each contribution is aimed at graduate students working in operations research, probability, and statistics.
|Publisher:||Springer New York|
|Edition description:||Softcover reprint of the original 1st ed. 2003|
|Product dimensions:||6.10(w) x 9.25(h) x 0.04(d)|
Table of ContentsDiscrete-time Singularly Perturbed Markov Chains * Nearly Optimal Controls of Markovian Systems * Stochastic Approximation, with Applications * Performance Potential Based Optimization and Markov Decision Processes * An Interior-Point and Decomposition Approach to Stochastic Programming * Stability of General Processing Networks * Large Deviations, Long-Range Dependence, and Queues * Markowitz's World in Continuous Time, and Beyond * A Markov Chain Method for Pricing Contingent Claims * Stochastic Network Models and Optimization of a Hospital System * Optimal Airline Booking Control with Cancellations * Information Revision and Decision Making in Supply Chain Management