arXiv Machine Learning By Justin Sirignano, Konstantinos Spiliopoulos, Samuel Cohen

Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

Read the original on arXiv Machine Learning →

arXiv:2607. 24726v1 Announce Type: new Abstract: 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.

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