Pages that link to "Item:Q2128466"
From MaRDI portal
The following pages link to Deep neural networks and adaptive quadrature for solving variational problems (Q2128466):
Displaying 10 items.
- The Deep Ritz Method: a deep learning-based numerical algorithm for solving variational problems (Q1744192) (← links)
- Optimally weighted loss functions for solving PDEs with neural networks (Q2068635) (← links)
- Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
- Universal approximation with quadratic deep networks (Q2185719) (← links)
- An energy approach to the solution of partial differential equations in computational mechanics via machine learning: concepts, implementation and applications (Q2310233) (← links)
- Neural network-based variational methods for solving quadratic porous medium equations in high dimensions (Q2699489) (← links)
- Neural networks for variational problems in engineering (Q3619739) (← links)
- An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions (Q5065200) (← links)
- A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
- (Q5083087) (← links)
