Learning physically consistent mathematical models from data using group sparsity

Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller +1

We propose a statistical learning framework based on group-sparse regression that can be used to 1) enforce conservation laws, 2) ensure model equivalence, and 3) guarantee symmetr…