On randomized partial block Kaczmarz method for solving huge linear algebraic systems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-022-01978-0.pdf
Reference28 articles.
1. Bai Z-Z, Liu X-G (2013) On the Meany inequality with applications to convergence analysis of several row-action iteration methods. Numer Math 124(2):215–236
2. Bai Z-Z, Wu W-T (2018) On greedy randomized Kaczmarz method for solving large sparse linear systems. SIAM J Sci Comput 40(1):A592–A606
3. Bai Z-Z, Wu W-T (2018b) On relaxed greedy randomized Kaczmarz methods for solving large sparse linear systems. Appl Math Lett 83:21–26
4. Bai Z-Z, Wu W-T (2019a) On partially randomized extended Kaczmarz method for solving large sparse overdetermined inconsistent linear systems. Linear Algebra Appl 578(1):225–250
5. Bai Z-Z, Wu W-T (2019b) On greedy randomized coordinate descent methods for solving large linear least-squares problems. Numer Linear Algebra Appl 26(e2237):1–15
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1. A weighted randomized sparse Kaczmarz method for solving linear systems;Computational and Applied Mathematics;2022-11-08
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