特岗副研究员，河南漯河人，主要研究方向为偏微分方程、科学计算和图像修复问题。
教育经历
2016.09-2022.12 | 湖南大学数学*女王调教-女王调教视频-女王 调教小说，博士 |
2012.09-2016.07 | 河南师范大学数学与统计*女王调教-女王调教视频-女王 调教小说，学士 |
工作经历
2025.02-至今 | 女王调教-女王调教视频-女王 调教小说
，特岗副研究员 |
2023.02-2025.01 | 香港理工大学，博士后 |
研究方向
偏微分方程，科学计算，图像修复。
学术科研成果
代表性论文：
1. Caixia Nan, Qiuqi Li，Huailing Song; A local model reduction method based on k-nearest-neighbors for parametrized nonlocal problems, Communications in Computational Physics, 2025, 37(1): 220-249.
2. Caixia Nan，Zhonghua Qiao，Qian Zhang; Curvature-dependent elastic bending total variation model for image inpainting with the SAV Algorithm，Journal of Scientific Computing, (2024) 101:29.
3. Caixia Nan, Qian Zhang; Elastic bending total variation model for image inpainting with operator splitting method, Computers and Mathematics with Applications, 176 (2024): 150-164.
4. Caixia Nan, Huailing Song; A new high-order maximum-principle-preserving explicit Runge-Kutta method for the nonlocal Allen-Cahn equation, Journal of Computational and Applied Mathematics, 437 (2024): 115500.
5. Caixia Nan, Huailing Song; The high-order maximum-principle-preserving integrating factor Runge-Kutta methods for nonlocal Allen-Cahn equation, Journal of Computational Physics, 456 (2022): 111028.
6. Caixia Nan, Huailing Song; Error estimates of local discontinuous Galerkin method with implicit-explicit Runge Kutta for two-phase miscible flow in porous media, Applied Numerical Mathematics, 169 (2021): 334-350.
