Handbook of Simulation Optimization
Edited by Michael C Fu ()
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2015
Edition: 2015
ISBN: 978-1-4939-1384-8
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Chapters in this book:
- Ch Chapter 1 Overview of the Handbook
- Michael C. Fu
- Ch Chapter 10 A Review of Random Search Methods
- Sigrún Andradóttir
- Ch Chapter 11 Stochastic Adaptive Search Methods: Theory and Implementation
- Zelda B. Zabinsky
- Ch Chapter 12 Model-Based Stochastic Search Methods
- Jiaqiao Hu
- Ch Chapter 13 Solving Markov Decision Processes via Simulation
- Abhijit Gosavi
- Ch Chapter 2 Discrete Optimization via Simulation
- L. Jeff Hong, Barry L. Nelson and Jie Xu
- Ch Chapter 3 Ranking and Selection: Efficient Simulation Budget Allocation
- Chun-Hung Chen, Stephen E. Chick, Loo Hay Lee and Nugroho A. Pujowidianto
- Ch Chapter 4 Response Surface Methodology
- Jack Kleijnen
- Ch Chapter 5 Stochastic Gradient Estimation
- Michael C. Fu
- Ch Chapter 6 An Overview of Stochastic Approximation
- Marie Chau and Michael C. Fu
- Ch Chapter 7 Stochastic Approximation Methods and Their Finite-Time Convergence Properties
- Saeed Ghadimi and Guanghui Lan
- Ch Chapter 8 A Guide to Sample Average Approximation
- Sujin Kim, Raghu Pasupathy and Shane G. Henderson
- Ch Chapter 9 Stochastic Constraints and Variance Reduction Techniques
- Tito Homem- de-Mello and Güzin Bayraksan
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-1-4939-1384-8
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DOI: 10.1007/978-1-4939-1384-8
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