We consider theoretical and computational issues related to operator regression and how to design deep neural networks (DNNs) that could represent accurately linear and nonlinear operators, mapping ...
This paper presents an error approximation concept for a version of the discontinuous Galerkin (DG) method called the discontinuous Galerkin with finite difference ...
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