Randomized Kaczmarz iteration methods: Algorithmic extensions and convergence theory
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13160-023-00586-7.pdf
Reference26 articles.
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3. Bai, Z.-Z., Wang, L.: On convergence rates of Kaczmarz-type methods with different selection rules of working rows. Appl. Numer. Math. 186, 289–319 (2023)
4. Bai, Z.-Z., Wu, W.-T.: On greedy randomized Kaczmarz method for solving large sparse linear systems. SIAM J. Sci. Comput. 40, A592–A606 (2018)
5. Bai, Z.-Z., Wu, W.-T.: On relaxed greedy randomized Kaczmarz methods for solving large sparse linear systems. Appl. Math. Lett. 83, 21–26 (2018)
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