Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Zhu Xiaohan"'
Soft manipulators are known for their superiority in coping with high-safety-demanding interaction tasks, e.g., robot-assisted surgeries, elderly caring, etc. Yet the challenges residing in real-time contact feedback have hindered further application
Externí odkaz:
http://arxiv.org/abs/2409.08033
Publikováno v:
Journal of Scientific Computing, 2024, 99:46
We build an asymptotically compatible energy of the variable-step L2-$1_{\sigma}$ scheme for the time-fractional Allen-Cahn model with the Caputo's fractional derivative of order $\alpha\in(0,1)$, under a weak step-ratio constraint $\tau_k/\tau_{k-1}
Externí odkaz:
http://arxiv.org/abs/2311.13216
Autor:
Tie, Fangfang, Dong, Qi, Zhu, Xiaohan, Ren, Lichengcheng, Liu, Zhenhua, Wang, Zhicheng, Wang, Honglun, Hu, Na
Publikováno v:
In Food Chemistry 1 November 2024 457
Publikováno v:
Communications in Mathematical Sciences, 21(7), 2023, pp. 1767-1789
The positive definiteness of discrete time-fractional derivatives is fundamental to the numerical stability (in the energy sense) for time-fractional phase-field models. A novel technique is proposed to estimate the minimum eigenvalue of discrete con
Externí odkaz:
http://arxiv.org/abs/2201.00920
Autor:
Jie, Zhaowei, Zhu, Xiaohan, Zhang, Hanyu, Zheng, Hanyang, Hu, Can, Liu, Zhanfang, Guo, Hongling, Zhu, Jun, Lu, Jianghai, Mei, Hongcheng
Publikováno v:
In Microchemical Journal December 2024 207
Autor:
Sun, Mengxue, Wan, Tong, Zhu, Xiaohan, Ge, Fan, Liang, Shubo, Xu, Bowen, Ni, Kai, Zhang, Yingying
Publikováno v:
In Materials Today Communications August 2024 40
Convolutional neural network (CNN) is one of the most widely-used successful architectures in the era of deep learning. However, the high-computational cost of CNN still hampers more universal uses to light devices. Fortunately, the Fourier transform
Externí odkaz:
http://arxiv.org/abs/2108.05690
Publikováno v:
Numerical Mathematics: Theory, Methods and Applications, 15(4), 2022, pp. 1128-1146
In this work, we revisit the adaptive L1 time-stepping scheme for solving the time-fractional Allen-Cahn equation in the Caputo's form. The L1 implicit scheme is shown to preserve a variational energy dissipation law on arbitrary nonuniform time mesh
Externí odkaz:
http://arxiv.org/abs/2102.07577
Autor:
Fang, Wenqin, Hong, Yonghe, Zhou, Tengsheng, Wei, Yangdou, Lin, Lili, Wang, Zonghua, Zhu, Xiaohan
Publikováno v:
In Journal of Integrative Agriculture
Akademický článek
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