Samuel N. Cohen

Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

It is proved that neural networks trained with gradient descent to minimize the PDE residual objective function will converge to the PDE solution as the network width and training time $\rightarrow \infty$.