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Arby
Model Order Reduction (MOR) is a technique for reducing the computational complexity of mathematical models in numerical simulations.
Arby is a fully data-driven Python module to construct reduced order basis, empirical interpolants and surrogate models from training data.
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MIT
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(c) 2020 Aaron Villanueva
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