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作者:

Xu, Fei (Xu, Fei.) | Huang, Qiumei (Huang, Qiumei.) (学者:黄秋梅) | Wang, Min (Wang, Min.) (学者:王民) | Ma, Hongkun (Ma, Hongkun.)

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EI SCIE

摘要:

In this study we propose a novel adaptive finite element method for the ground state solution of Bose-Einstein Condensates (BEC). Different from the classical adaptive scheme applied to BEC which needs to solve a nonlinear eigenvalue model directly on each adaptive finite element space, our scheme requires to solve a linear elliptic boundary value problem on current adaptive space and a nonlinear eigenvalue model on a quite low-dimensional correction space. Further, the linear elliptic boundary value problem is solved by adaptive multigrid iterations. Since there is no nonlinear eigenvalue model to be solved directly on the adaptive spaces, the solving efficiency can be improved evidently. In addition, the convergence analysis of the proposed adaptive algorithm are derived numerically and theoretically. (C) 2020 Elsevier Inc. All rights reserved.

关键词:

Adaptive multigrid method Bose-Einstein condensates Convergence Multilevel correction method Optimal complexity

作者机构:

  • [ 1 ] [Xu, Fei]Beijing Univ Technol, Fac Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China
  • [ 2 ] [Huang, Qiumei]Beijing Univ Technol, Fac Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Min]Beijing Univ Technol, Fac Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China
  • [ 4 ] [Ma, Hongkun]Sun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R China
  • [ 5 ] [Ma, Hongkun]Zhuhai Huafa Investment Holdings Co Ltd, Zhuhai 519031, Guangdong, Peoples R China

通讯作者信息:

  • [Ma, Hongkun]Sun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R China;;[Ma, Hongkun]Zhuhai Huafa Investment Holdings Co Ltd, Zhuhai 519031, Guangdong, Peoples R China

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来源 :

APPLIED MATHEMATICS AND COMPUTATION

ISSN: 0096-3003

年份: 2020

卷: 385

4 . 0 0 0

JCR@2022

ESI学科: MATHEMATICS;

ESI高被引阀值:15

JCR分区:1

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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