A fast, memory efficient and robust sparse preconditioner based on a multifrontal approach with applications to finite‐element matrices-Reference-Cited by-同舟云学术

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A fast, memory efficient and robust sparse preconditioner based on a multifrontal approach with applications to finite‐element matrices

Published:2016-02-02 Issue:6 Volume:107 Page:520-540
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Aminfar AmirHossein¹^ORCID,Darve Eric¹

Affiliation:

1. Mechanical Engineering Department Stanford University 496 Lomita Mall, Room 104 Stanford 94305 CA USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.5196

Reference32 articles.

1. Nested dissection of a regular finite element mesh;George A;SIAM Journal on Matrix Analysis and Applications,1973

2. A fast direct solver for elliptic problems on general meshes in 2D

3. GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems

4. A fast block low-rank dense solver with applications to finite-element matrices

5. Superfast Multifrontal Method for Large Structured Linear Systems of Equations

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