A Flow feature detection framework for large-scale computational data based on incremental proper orthogonal decomposition and data mining

DEIM reduced order model constructed by hybrid snapshot simulation

“…Model switch is determined on the fly by evaluating several criteria that monitor the dominance of leading POD modes and ROM trajectory. Its key idea is that ROM can be used in place of FOM during the snapshot simulation, where data generated from FOM are redundant [38] with minimal contribution of new information to POD basis vectors.…”