References¶
- Tong, “PSUADE User’s Manual, Version 1.2.0,” Tech. Rep. LLNL-SM-407882, Lawrence Livermore National Laboratory, Livermore, CA 94551-0808, May 2011.
- Cozad, N. V. Sahinidis, and D. C. Miller, “Automatic Learning of Algebraic Models for Optimization,” AIChE Journal, vol. 60, pp. 2211–2227, 2014.
- Storlie, H. D. Bondell, B. J. Reich, and H. H. Zhang, “Surface estimation, variable selection, and the nonparametric oracle property,” Statistica Sinica, vol. 21, no. 2, pp. 679–705, 2011.
- Storlie, B. J. Reich, J. C. Helton, L. P. Swiler, and C. J. Sallaberry, “Analysis of computationally demanding models with continuous and categorical inputs,” Reliability Engineering & System Safety, vol. 113, pp. 30–41, 2013.
- Reich, C. B. Storlie, and H. D. Bondell, “Variable selection in bayesian smoothing spline anova models: Application to deterministic computer codes,” Technometrics, vol. 51, no. 2, pp. 110–120, 2009.
- Wegstein, “Accelerating Convergence of Iterative Processes,” j-CACM, vol. 1, no. 6, pp. 9–13, 1958.
- Hansen, Towards a New Evolutionary Computation. Advances in Estimation of Distribution Algorithms, ch. The CMA Evolution Strategy: A Comparing Review, pp. 75–102. Springer, 2006.
- Johnson, “The nlopt nonlinear-optimization package.” http://ab-initio.mit.edu/nlopt, May 2015.
- Jones, T. Oliphant, P. Peterson, et al., “Scipy: Open source scientific tools for python.” http://www.scipy.org/, May 2015.
- Bhat, B. Sherman, K. Ajayi, B. Ng, J. Eslick, J. Ou, and J.Kress, “Solventfit: A calibration tool for solvent-based CO2 capture models,” in 2015 CCSI Industry Advisory Board (IAB) Program Review Meeting, (Reston, VA), September 2015.
- Wu, F. Chollet, “Serialization and saving.” https://keras.io/guides/serialization_and_saving/, April 2020.
- Abadi, A. Agarwal, P. Barham, et al., “TensorFlow: An end-to-end open source machine learning platform.” https://www.tensorflow.org/, 2015.
- Meurer, C.P. Smith, M. Paprocki, et al., “SymPy 1.10.1 Documentation.” https://docs.sympy.org/latest/index.html, Jan 2017.
- Marcel, Y. Rodriguez, “Torchvision the machine-vision package of torch.”” In Proceedings of the 18th ACM international conference on Multimedia (pp. 1485-1488), October 2010.
- Buitinck, G. Louppe, M.Blondel, et al., “API design for machine learning software: experiences from the scikit-learn project.” European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, September 2013.