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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.01676 |
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| _version_ | 1866908491220779008 |
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| author | Peng, Jie Shu, Shi Wang, Junxian Zhong, Liuqiang |
| author_facet | Peng, Jie Shu, Shi Wang, Junxian Zhong, Liuqiang |
| contents | The solution of nonsymmetric but positive definite (NSPD) systems arising from advection-diffusion problems is an important research topic in science and engineering. Balancing domain decomposition by constraints with an adaptive coarse space(adaptive BDDC) constitute a significant class of nonoverlapping domain decomposition methods, commonly used for symmetric positive definite problems. In this paper, we propose an adaptive BDDC method that incorporates a class of edge generalized eigenvalue problems based on prior selected primal constraints to solve NSPD systems from advection-diffusion problems. Compared with the conventional adaptive BDDC method for such systems, the proposed approach further reduces the number of primal unknowns. Numerical experiments show that although the iteration count increases slightly, the overall computational time is significantly reduced. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_01676 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A BDDC method with an adaptive coarse space for three-dimensional advection-diffusion problems Peng, Jie Shu, Shi Wang, Junxian Zhong, Liuqiang Numerical Analysis The solution of nonsymmetric but positive definite (NSPD) systems arising from advection-diffusion problems is an important research topic in science and engineering. Balancing domain decomposition by constraints with an adaptive coarse space(adaptive BDDC) constitute a significant class of nonoverlapping domain decomposition methods, commonly used for symmetric positive definite problems. In this paper, we propose an adaptive BDDC method that incorporates a class of edge generalized eigenvalue problems based on prior selected primal constraints to solve NSPD systems from advection-diffusion problems. Compared with the conventional adaptive BDDC method for such systems, the proposed approach further reduces the number of primal unknowns. Numerical experiments show that although the iteration count increases slightly, the overall computational time is significantly reduced. |
| title | A BDDC method with an adaptive coarse space for three-dimensional advection-diffusion problems |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2501.01676 |