Perturbations, Approximations and Sensit
β Asen L. Dontchev (auth.), A. L. Dontchev (eds.)
π Library
π
1983
π Springer-Verlag Berlin Heidelberg
π English
β¦ LIBER β¦
π
Stochastic Simulation Optimization For Discrete Event Systems: Perturbation Analysis, Ordinal Optimization And Beyond : Perturbation Analysis, Ordinal Optimization, and Beyond
β Scribed by Chun-Hung Chen; Qing-shan Jia; Loo Hay Lee
- Publisher
- World Scientific Publishing Company
- Year
- 2013
- Tongue
- English
- Leaves
- 274
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a βhard nut to crackβ. The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.
β¦ Subjects
Discrete-time systems -- Mathematical models. ; Perturbation (Mathematics) ; Systems engineering -- Computer simulation.
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