Virtual library

Virtual library of simulation experiments: Test functions and datasets. This website is intended to be used as a suite of functions and datasets for evaluating new approaches to the design and analysis of experiments involving computer models. Under each of the categories found on the left, there is a list of corresponding functions and datasets. Each has a detailed description, as well as implementations in both MATLAB and R: Optimization, Emulation/ Prediction, Uncertainty Quantification, Multi Fidelity Simulation, Calibration/ Tuning, Screening, Integration, Functional Data.


References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Glaws, Andrew; Constantine, Paul G.: Gauss-Christoffel quadrature for inverse regression: applications to computer experiments (2019)
  2. Gu, Mengyang: Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (2019)
  3. Owen, Art B.: Comment: unreasonable effectiveness of Monte Carlo (2019)
  4. Sun, Furong; Gramacy, Robert B.; Haaland, Benjamin; Lawrence, Earl; Walker, Andrew: Emulating satellite drag from large simulation experiments (2019)
  5. Brauchart, Johann S.: Explicit families of functions on the sphere with exactly known Sobolev space smoothness (2018)
  6. Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M.: Comparison of Gaussian process modeling software (2018)
  7. Gorodetsky, Alex A.; Jakeman, John D.: Gradient-based optimization for regression in the functional tensor-train format (2018)
  8. Gu, Mengyang; Wang, Xiaojing; Berger, James O.: Robust Gaussian stochastic process emulation (2018)
  9. Perdikaris, P.; Raissi, M.; Damianou, A.; Lawrence, N. D.; Karniadakis, G. E.: Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling (2017)
  10. Wedyan, Ahmad; Whalley, Jacqueline; Narayanan, Ajit: Hydrological cycle algorithm for continuous optimization problems (2017)
  11. Guzman, Yannis A.; Faruque Hasan, M. M.; Floudas, Christodoulos A.: Performance of convex underestimators in a branch-and-bound framework (2016)
  12. Perdikaris, Paris; Venturi, Daniele; Karniadakis, George Em: Multifidelity information fusion algorithms for high-dimensional systems and massive data sets (2016)
  13. Cruz-Vega, Israel; Escalante, Hugo Jair: A note on “Adaptive fuzzy fitness granulation for evolutionary optimization” (2015) ioport
  14. Jourdan, Astrid: Space-filling orthogonal arrays of strength two (2015)
  15. Regier, Jeffrey C.; Stark, Philip B.: Mini-minimax uncertainty quantification for emulators (2015)