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A residual based sparse approximate inverse preconditioning procedure for large sparse linear systems

  • Published:2016-12-19 Issue:2 Volume:24 Page:e2080
  • ISSN:1070-5325
  • Container-title:Numerical Linear Algebra with Applications
  • language:en
  • Short-container-title:Numer. Linear Algebra Appl.

Author:

Jia Zhongxiao1,Kang Wenjie1

Affiliation:

1. Department of Mathematical Sciences; Tsinghua University; Beijing 100084 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Communication-aware Sparse Patterns for the Factorized Approximate Inverse Preconditioner;Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing;2022-06-27

2. Domain decomposition based preconditioner combined local low-rank approximation with global corrections;Computers & Mathematics with Applications;2022-05

3. Cache-aware Sparse Patterns for the Factorized Sparse Approximate Inverse Preconditioner;Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing;2021-06-21

4. A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems;SIAM Journal on Matrix Analysis and Applications;2021-01

5. A transformation approach that makes SPAI, PSAI and RSAI procedures efficient for large double irregular nonsymmetric sparse linear systems;Journal of Computational and Applied Mathematics;2019-03
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