Corpus ID: 236881168

Arby $-$ Fast data-driven surrogates

@inproceedings{Villanueva2021ArbyF,
  title={Arby \$-\$ Fast data-driven surrogates},
  author={Aar{\'o}n Villanueva and Martin Beroiz and Juan B. Cabral and Mart'in Chalela and Mariano Dom{\'i}nguez},
  year={2021}
}
Context. The availability of fast to evaluate and reliable predictive models is highly relevant in multi-query scenarios where evaluating some quantities in real, or near-real-time becomes crucial. As a result, reduced-order modelling techniques have gained traction in many areas in recent years. Aims. We introduce Arby, an entirely data-driven Python package for building reduced order or surrogate models. In contrast to standard approaches, which involve solving partial differential equations… Expand

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