A two-dimensional randomized extended Gauss-Seidel algorithm for solving least squares problems

Author:

Mustafa Ashif,Saha Manideepa

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference22 articles.

1. Bai, Z.-Z., Wu, W.-T.: On greedy randomized coordinate descent methods for solving large linear least-squares problems. Numer. Linear. Algebr. 26, e2237 (2019)

2. Chen, J.-Q., Huang, Z.-D.: On the error estimate of the randomized double block Kaczmarz method. Appl. Math. Comput. 370, 124907 (2020)

3. Du, K.: Tight upper bounds for the convergence of the randomized extended Kaczmarz and Gauss-Seidel algorithms. Numer. Linear. Algebr. 26, 1–14 (2019)

4. Elfving, T.: Block-iterative methods for consistent and inconsistent linear equations. Numer. Math. 35, 1–12 (1980)

5. Horn, R.A., Johnson, C.R.: Topics in matrix analysis. Cambridge University Press (2008)

Cited by 2 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. On Randomized Block Gauss-Seidel Algorithms for Solving Inner Inverses of a Matrix;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

2. Randomized symmetric Gauss-Seidel method for solving linear least squares problems;AIMS Mathematics;2024

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