| Stochastic Modeling and Optimization: With Applications in Queues, Finance, and Supply Chains Softcover Repri Edition Contributor(s): Yao, David D. (Editor), Zhang, Hanqin (Editor), Zhou, Xun Yu (Editor) |
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ISBN: 1441930655 ISBN-13: 9781441930651 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: December 2011 |
| Additional Information |
| BISAC Categories: - Business & Economics | Operations Research - Mathematics | Applied - Business & Economics | Finance - General |
| Dewey: 330 |
| Physical Information: 0.97" H x 6.14" W x 9.21" (1.48 lbs) 468 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The objective of this volume is to highlight through a collection of chap- ters some of the recent research works in applied prob ability, specifically stochastic modeling and optimization. The volume is organized loosely into four parts. The first part is a col- lection of several basic methodologies: singularly perturbed Markov chains (Chapter 1), and related applications in stochastic optimal control (Chapter 2); stochastic approximation, emphasizing convergence properties (Chapter 3); a performance-potential based approach to Markov decision program- ming (Chapter 4); and interior-point techniques (homogeneous self-dual embedding and central path following) applied to stochastic programming (Chapter 5). The three chapters in the second part are concerned with queueing the- ory. Chapters 6 and 7 both study processing networks - a general dass of queueing networks - focusing, respectively, on limit theorems in the form of strong approximation, and the issue of stability via connections to re- lated fluid models. The subject of Chapter 8 is performance asymptotics via large deviations theory, when the input process to a queueing system exhibits long-range dependence, modeled as fractional Brownian motion. |