Laura Balzano

In-span learning: adapting reduced-order models using their own predictions

The discovered that a complementary and previously unexploited in-span adaptation channel exists within the current reduced subspace, and obtains a trajectory-informed spectral preconditioner, in which the subspace is unchanged but the basis is reweighted and realigned toward the modes visited by the dynamics.