On greedy randomized block Gauss–Seidel method with averaging for sparse linear least-squares problems
Author:
Funder
Natural Science Foundation of Sichuan Province
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Algebra and Number Theory
Link
https://link.springer.com/content/pdf/10.1007/s10092-023-00549-x.pdf
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5. Bai, Z.-Z., Wu, W.-T.: On greedy randomized coordinate descent methods for solving large linear least-squares problems. Numer. Linear Algebra Appl. 26, 22–37 (2019)
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