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portada stochastic modeling and optimization
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
480
Format
Paperback
Dimensions
23.4 x 15.6 x 2.5 cm
Weight
0.67 kg.
ISBN
1441930655
ISBN13
9781441930651
Categories

stochastic modeling and optimization

David D. Yao (Illustrated by) · Hanqin Zhang (Illustrated by) · Xun Yu Zhou (Illustrated by) · Springer · Paperback

stochastic modeling and optimization - Yao, David D. ; Zhang, Hanqin ; Zhou, Xun Yu

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Synopsis "stochastic modeling and optimization"

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.

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