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[ascl:2401.011] ostrich: Surrogate modeling using PCA and Gaussian process interpolation

Ostrich emulates surrogate models for complex and expensive functions using Principal Component Analysis (PCA) to decompose a signal, then interpolate the PCA weights over the parameters θ using a Gaussian Process interpolator. The code is trained on samples from the expensive functions, recreating and interpolating between those training samples with reduced computational cost, and recalculating for each use.

Code site:
https://github.com/dylancromer/ostrich
Described in:
https://ui.adsabs.harvard.edu/abs/2022JCAP...10..034C
Bibcode:
2024ascl.soft01011C

Views: 216

ascl:2401.011
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