Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs
By Justin Sirignano · Paper · cs.LG
The Deep Galerkin Method (DGM) and Physics Informed Neural Networks (PINNs) have become widely-used methods for solving partial differential equations (PDEs) in the rapidly growing field of scientific machine learning. In these methods, a neural network is trained to approximate