Variational Monte Carlo approach to partial differential equations with neural networks
The accurate numerical solution of partial differential equations is a central task in numerical analysis allowing to model a wide range of natural phenomena by employing specialized solvers depending on the scenario of application. Here, we develop a variational approach for solving partial differe...
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| Main Authors: | , |
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| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
June 7, 2022
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| In: |
Arxiv
Year: 2022, Pages: 1-9 |
| DOI: | 10.48550/arXiv.2206.01927 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.48550/arXiv.2206.01927 Verlag, lizenzpflichtig, Volltext: http://arxiv.org/abs/2206.01927 
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| Author Notes: | Moritz Reh and Martin Gärttner |
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