On the eigenvalues of the saddle point matrices discretized from Navier-Stokes equations
Huang, Na1,2; Ma, Chang-Feng1
刊名NUMERICAL ALGORITHMS
2018-09-01
卷号79期号:1页码:41-64
关键词Navier-Stokes equations Saddle point problem Spectral estimates Preconditioner Nonsymmetric
ISSN号1017-1398
DOI10.1007/s11075-017-0427-5
英文摘要In this paper, we study the spectral distributions of the saddle point matrices arising from the discretization and linearization of the Navier-Stokes equations, where the (1,1) block is nonsymmetric positive definite. In this paper, we derive the lower and upper bounds of the real and imaginary parts of all the eigenvalues of the saddle point matrices. We then propose a new class of block triangle preconditioners for solving the saddle point problems, and analyze the spectral properties of the preconditioned systems. Some numerical experiments with the preconditioned restarted generalized minimal residual method are reported to demonstrate the effectiveness and feasibility of these block triangle preconditioners.
资助项目National Postdoctoral Program for Innovative Talents[BX201600182] ; China Postdoctoral Science Foundation[2016M600141] ; Fujian Natural Science Foundation[2016J01005] ; Fujian Natural Science Foundation[2015J01578]
WOS研究方向Mathematics
语种英语
出版者SPRINGER
WOS记录号WOS:000442612400003
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31116]  
专题中国科学院数学与系统科学研究院
通讯作者Ma, Chang-Feng
作者单位1.Fujian Normal Univ, Fujian Key Lab Math Anal & Applicat, Coll Math & Informat, Fuzhou 350117, Fujian, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R China
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Huang, Na,Ma, Chang-Feng. On the eigenvalues of the saddle point matrices discretized from Navier-Stokes equations[J]. NUMERICAL ALGORITHMS,2018,79(1):41-64.
APA Huang, Na,&Ma, Chang-Feng.(2018).On the eigenvalues of the saddle point matrices discretized from Navier-Stokes equations.NUMERICAL ALGORITHMS,79(1),41-64.
MLA Huang, Na,et al."On the eigenvalues of the saddle point matrices discretized from Navier-Stokes equations".NUMERICAL ALGORITHMS 79.1(2018):41-64.
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