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pro vyhledávání: '"Chengze, Ruizhi"'
Autor:
Wang, Qi, Ren, Pu, Zhou, Hao, Liu, Xin-Yang, Deng, Zhiwen, Zhang, Yi, Chengze, Ruizhi, Liu, Hongsheng, Wang, Zidong, Wang, Jian-Xun, Ji-Rong_Wen, Sun, Hao, Liu, Yang
When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergence conditions, leading to high computational cost. Recently, machine le
Externí odkaz:
http://arxiv.org/abs/2411.00040
Autor:
Zeng, Bocheng, Wang, Qi, Yan, Mengtao, Liu, Yang, Chengze, Ruizhi, Zhang, Yi, Liu, Hongsheng, Wang, Zidong, Sun, Hao
Solving partial differential equations (PDEs) serves as a cornerstone for modeling complex dynamical systems. Recent progresses have demonstrated grand benefits of data-driven neural-based models for predicting spatiotemporal dynamics (e.g., tremendo
Externí odkaz:
http://arxiv.org/abs/2410.01337