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SMT Toolbox

These tutorials introduce to use the opensource Surrogate Modeling Toolbox where different surrogate models are available.

SMT Tutorial (linear, quadratic, gaussian process, ...)

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Surrogate-based Optimization

Efficient Global Optimization: How to start?

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Bayesian Optimization - Efficient Global Optimization to solve unconstrained problems

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Bayesian Optimization with noisy data

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Multi-Fidelity Gaussian Process

Without noise

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With noise

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Proper Orthogonal Decomposition and Interpolation

PODI+I tutorial in SMT with global and local basis

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PODI+I application to airfoil design

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Other Gaussian Process Models and Sampling Methods

LHS sampling (initial and expanded)

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Gaussian Process Trajectory Sampling

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Noisy Gaussian Process

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Sparse Gaussian Process

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Cooperative Components Kriging

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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)

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Mixed-Integer Gaussian Process and Bayesian Optimization to solve unconstrained problems with mixed variables (continuous, discrete, categorical)

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Mixed-Integer Gaussian Process and Bayesian Optimization for Engineering application

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