Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons
The numerical solution of differential equations using machine learning-based approaches has gained significant popularity. Neural network-based discretization has emerged as a powerful tool for solving differential equations by parameterizing a set of functions. Various approaches, such as the deep...
| Publié dans: | Journal of scientific computing. - 1999. - 100(2024), 1 vom: 26. Juli |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2024
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| Accès à la collection: | Journal of scientific computing |
| Sujets: | Journal Article Convergence analysis Gauss-Newton method Neural network discretization Partial differential equations Variational form |
| Accès en ligne |
Volltext |