Expressive Power of Deep Networks on Manifolds: Simultaneous Approximation
arXiv:2509.09362v3 Announce Type: replace-cross Abstract: A key challenge in scientific machine learning is solving partial differential equations (PDEs) on complex domains, where the curved geometry complicates the approximation of functions and their derivatives required by differential operators. This paper establishes…
