Acceleration of the Scheduled Relaxation Jacobi method: Promising strategies for solving large, sparse linear systems-Reference-Cited by-同舟云学术

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Acceleration of the Scheduled Relaxation Jacobi method: Promising strategies for solving large, sparse linear systems

Published:2019-11 Issue: Volume:397 Page:108862
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Kong Qian,Jing Yan-Fei^ORCID,Huang Ting-Zhu^ORCID,An Heng-Bin

Funder

NSFC

National Key R&D Program of China

UESTC

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference23 articles.

1. Matrix Iterative Analysis;Varga,2000

2. Iterative Methods for Sparse Linear System;Saad,2003

3. Iterative solution of linear systems in the 20th century;Saad;J. Comput. Appl. Math.,2005

4. Recent computational developments in Krylov subspace methods for linear systems;Simoncini;Numer. Linear Algebra Appl.,2007

5. Block Krylov space methods for linear systems with multiple right-hand sides: an introduction;Gutknecht,2007

Cited by 1 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. A new Jacobi-type iteration method for solving M-matrix or nonnegative linear systems;Japan Journal of Industrial and Applied Mathematics;2021-11-01

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