Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System
arXiv:2605.12025v1 Announce Type: cross
Abstract: Neural operators provide a framework for learning solution operators of partial differential equations (PDEs), enabling efficient surrogate modeling for complex systems. While universal approximation r…