1 code implementation • 11 Mar 2020 • Ehsan Kharazmi, Zhongqiang Zhang, George Em. Karniadakis
We formulate a general framework for hp-variational physics-informed neural networks (hp-VPINNs) based on the nonlinear approximation of shallow and deep neural networks and hp-refinement via domain decomposition and projection onto space of high-order polynomials.
