On the randomized multiple row-action methods for solving linear least-squares problems
Nian-Ci Wu,
Chengzhi Liu,
Yatian Wang
et al.
Abstract:The randomized row-action method is a popular representative of the iterative algorithm because of its efficiency in solving the overdetermined and consistent systems of linear equations. In this paper, we present an extended randomized multiple row-action method to solve a given overdetermined and inconsistent linear system and analyze its computational complexities at each iteration. We prove that the proposed method can linearly converge in the mean square to the least-squares solution with a minimum Euclid… Show more
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