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Learning Partial Differential Equations by Spectral Approximates of
  General Sobolev Spaces

Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces

12 January 2023
Juan Esteban Suarez Cardona
Phil-Alexander Hofmann
Michael Hecht
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Papers citing "Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces"

2 / 2 papers shown
Title
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
125
508
0
11 Mar 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
1