This is a list of course materials and comments. I will post new files, website links, and comments as we make progress through the course.
Hill and Spall (2019) reading on MCMC - Reading for weeks 12 - 13: Hill, S. D. and Spall, J. C. (2019), “Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects,” IEEE Control Systems Magazine, vol. 39(1), pp. 56–67.
Supplementary reading for week 5: Case study on reliability (theoretical foundation). - Spall, J. C. (2014), “Identification for Systems with Binary Subsystems,” IEEE Transactions on Automatic Control, vol. 59(1), pp. 3–17. (Use an institutional--JHU--computer to freely access paper.)
Amaran, S., Sahinidis, N. V., Sharda, B., and Bury, S. J. (2014), “Simulation Optimization: A Review of Algorithms and Applications,” 4OR–Quarterly Journal of Operations Research, vol. 12(4), pp. 301–333. http://dx.doi.org/10.1007/s10288-014-0275-2
MonteCarlo_intro
Appendix B
Chapter 13
Case Study--MLE/FIM--Week 5
Appendix D
Double Descent--Week 6--Geng Zhang
Simulation_optimization_intro
Chapter 14
CaseStudy_Simulation Optimization_AirTraffic_DWH_SDH
Chapter 15
Case study: "Simulation-Based Optimization for Policy Incentives and Planning of Hybrid Microgrids." Guest Presentation by Raymond Gong
Final project ideas/information (opens with usual class password)
Hill, S. D. (2014), “Discrete Optimization with Noisy Objective Function Measurements,” in Wiley Encyclopedia of Operations Research and Management Science, Wiley, Hoboken, NJ.
Chapter 12
Chapter 00--Discrete Optimization with Noisy Loss Measurements
Appendix E
Chapter 16
Chapter 17
Final project instructions