Kumar Kaushik Ranjan

Learned smoothing in operator-adapted multigrid: controlled accuracy gains and computational limits

Learned multigrid components are often evaluated at a fixed iteration budget, but such comparisons do not distinguish local approximation gains from practical solver efficiency. We study this distinction for high-contrast elliptic problems on unstructured finite element meshes. A learned V-cycle uses operator-dependent...