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题名Hermite spectral collocation methods for fractional PDEs in unbounded domains
作者
发表日期2018
发表期刊Communications in Computational Physics
ISSN/eISSN1815-2406
卷号24期号:4页码:1143-1168
摘要This work is concerned with spectral collocation methods for fractional PDEs in unbounded domains. The method consists of expanding the solution with proper global basis functions and imposing collocation conditions on the Gauss-Hermite points. In this work, two Hermite-type functions are employed to serve as basis functions. Our main task is to find corresponding differentiation matrices which are computed recursively. Two important issues relevant to condition numbers and scaling factors will be discussed. Applications of the spectral collocation methods to multi-term fractional PDEs are also presented. Several numerical examples are carried out to demonstrate the effectiveness of the proposed methods
关键词Fractional PDEs Hermite polynomials/functions unbounded domain spectral collocation methods
DOI10.4208/cicp.2018.hh80.12
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收录类别SCIE
语种英语English
WOS研究方向Physics
WOS类目Physics, Mathematical
WOS记录号WOS:000455957800010
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被引频次:38[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4769
专题个人在本单位外知识产出
通讯作者Tang, Tao
作者单位
1.Department of Mathematics, Southern University of Sciences and Technology, Shenzhen, China;
2.Department of Mathematics, Hong Kong Baptist University, Hong Kong, China;
3.LSEC, Institute of Computational Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Tang, Tao,Yuan, Huifang,Zhou, Tao. Hermite spectral collocation methods for fractional PDEs in unbounded domains[J]. Communications in Computational Physics, 2018, 24(4): 1143-1168.
APA Tang, Tao, Yuan, Huifang, & Zhou, Tao. (2018). Hermite spectral collocation methods for fractional PDEs in unbounded domains. Communications in Computational Physics, 24(4), 1143-1168.
MLA Tang, Tao,et al."Hermite spectral collocation methods for fractional PDEs in unbounded domains". Communications in Computational Physics 24.4(2018): 1143-1168.
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