SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
Authors:
- Paul SavesPaul Saves
- Rémi LafageRLRémi Lafage
- Nathalie BartoliNBNathalie Bartoli
- Youssef DiouaneYDYoussef Diouane
- Jasper BussemakerJBJasper Bussemaker
- Thierry LefebvreTLThierry Lefebvre
- John T. HwangJHJohn T. Hwang
- Joseph MorlierJMJoseph Morlier
- Joaquim R.R.A. MartinsJMJoaquim R.R.A. Martins
Top Cited Papers
- 7 December 2023
- journal article
- research article
- Published by Elsevier in Advances in Engineering Software
- Vol. 188
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- An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High-Dimensional Problems through the Partial Least Squares MethodMathematical Problems in Engineering, 2016
- Trust Region Based Mode Pursuing Sampling Method for Global Optimization of High Dimensional Design ProblemsJournal of Mechanical Design, 2015
- Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansionComputer Methods in Applied Mechanics and Engineering, 2014
- SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problemsComputers & Operations Research, 2013
- DiceKriging,DiceOptim: TwoRPackages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and OptimizationJournal of Statistical Software, 2012
- A Simple Approach to Emulation for Computer Models With Qualitative and Quantitative FactorsTechnometrics, 2011
- Design and Analysis of Computer Experiments With Branching and Nested FactorsTechnometrics, 2009
- ADjoint: An Approach for the Rapid Development of Discrete Adjoint SolversAIAA Journal, 2008
- Bayesian Calibration of Computer ModelsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2001
- The most general methodology for creating a valid correlation matrix for risk management and option pricing purposesJournal of Risk, 2000