Pages that link to "Item:Q5864768"
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The following pages link to A Local Deep Learning Method for Solving High Order Partial Differential Equations (Q5864768):
Displaying 10 items.
- Weak adversarial networks for high-dimensional partial differential equations (Q777606) (← links)
- Deep learning schemes for parabolic nonlocal integro-differential equations (Q2098092) (← links)
- Deep learning solver for solving advection-diffusion equation in comparison to finite difference methods (Q2170855) (← links)
- A nonlocal physics-informed deep learning framework using the peridynamic differential operator (Q2237731) (← links)
- PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations (Q6151340) (← links)
- A priori error estimate of deep mixed residual method for elliptic PDEs (Q6182315) (← links)
- TDOR-MPINNs: multi-output physics-informed neural networks based on time differential order reduction for solving coupled Klein-Gordon-Zakharov systems (Q6568897) (← links)
- Generalization error in the deep Ritz method with smooth activation functions (Q6585908) (← links)
- Efficiently training physics-informed neural networks via anomaly-aware optimization (Q6662394) (← links)
- Error analysis of the mixed residual method for elliptic equations (Q6662404) (← links)
