A greedy quadratic-manifold training procedure that incorporates operator-inference prediction error into the basis selection yields substantially more accurate reduced models than reconstruction-only training.
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Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction
A greedy quadratic-manifold training procedure that incorporates operator-inference prediction error into the basis selection yields substantially more accurate reduced models than reconstruction-only training.