arxivcs.LGcs.CEmath.NA2026-07-03
In-span learning: adapting reduced-order models using their own predictions
Amirpasha Hedayat, Laura Balzano, Karthik Duraisamy
Reduced-order models compress high-dimensional dynamics into low-dimensional representations that can be evaluated rapidly, but they lose accuracy when online dynamics drift beyond the training data. Adaptive methods address this by updating the subspace online with external, out…