By sequentially running High Performance Computer (HPC) simulations in Design of Experiments (DOE) blocks, one can quickly increase the accuracy of fast surrogate models. When sufficiently precise surrogates have been obtained, HPC resources can sooner be made available to other Modeling & Simulation (M&S) projects.
See how to:
NOTE: Q&A is interspersed throughout the video.
Resources:
2017 Dissertation by LTC Brian Wade, Director, TRAC-MTRY, Naval Postgraduate School
2020 Military Operations Research Society (MORS) Modeling & Simulation (M&S) Community of Practice (CoP) Tutorial
JMP Discovery Summit 2020 webcast of JMP BEAST Mode: Boundary Exploration through Adaptive Sampling Techniques
Design and Analysis of Computer Experiments by Sacks, J., Welch, W.J., Mitchell, T.J. and Wynn, H.P. Statistical Science 4. 409-423, 1989
Santner, T. J., Williams, B. J., and Notz, W. I. (2003), The Design and Analysis of Computer Experiments, Springer, New York (2nd in 2018)
Fang, K. T., Li, R. Z., and Sudjianto, A. (2005), Design and Modeling for Computer Experiments, Chapman & Hall/CRC Press, New York
Kleijnen, J. P. C. (2008), DASE: design and analysis of simulation experiments. Springer, New York. (2nd in 2015)
The Elements of Statistical Learning – Data Mining, Inference, and Prediction by Hastie, Tibshirani, and Friedman – 2001 (Chapter 7: Model Assessment and Selection)
The Simulation Experiments & Efficient Design (SEED) Center for Data Farming at Naval Postgraduate School
Naval Postgraduate School Designs https://nps.edu/web/seed/software-downloads
Library of Orthogonal Arrays maintained by Neil J. A. Sloane
Library of Orthogonal Arrays maintained by Warren F. Kuhfield