High-Precision Phase-Shift Transferable Neural Networks for High-Frequency Function Approximation and PDE Solution
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866913002228285440 |
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| author | Gao, Xuyang Chen, Liang Xu, Minqiang Niu, Jing |
| author_facet | Gao, Xuyang Chen, Liang Xu, Minqiang Niu, Jing |
| contents | Neural network based methods have emerged as a promising paradigm for scientific computing, yet they face critical bottlenecks in high frequency function approximation and partial differential equation (PDE) solving. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_03186 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | High-Precision Phase-Shift Transferable Neural Networks for High-Frequency Function Approximation and PDE Solution Gao, Xuyang Chen, Liang Xu, Minqiang Niu, Jing Numerical Analysis Neural network based methods have emerged as a promising paradigm for scientific computing, yet they face critical bottlenecks in high frequency function approximation and partial differential equation (PDE) solving. |
| title | High-Precision Phase-Shift Transferable Neural Networks for High-Frequency Function Approximation and PDE Solution |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2604.03186 |