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Bayesian Optimization - Efficient Global Optimization to solve unconstrained problems
Bayesian Optimization with noisy data
Multi-Fidelity Gaussian Process
Without noise
With noise
Proper Orthogonal Decomposition and Interpolation
PODI+I tutorial in SMT with global and local basis
PODI+I application to airfoil design
Other Gaussian Process Models and Sampling Methods
LHS sampling (initial and expanded)
Gaussian Process Trajectory Sampling
Noisy Gaussian Process
Sparse Gaussian Process
Cooperative Components Kriging
Mixed-integer and mixed-hierarchical surrogate models
Specific notebook associated to the SMT 2.0 Journal Paper (submitted) with a focus on mixed integer and mixed hierarchical surrogate models (continuous, discrete, categorical)
Mixed-Integer Gaussian Process and Bayesian Optimization to solve unconstrained problems with mixed variables (continuous, discrete, categorical)
Mixed-Integer Gaussian Process and Bayesian Optimization for Engineering application