low rank matrix approximation
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2021 ◽  
Vol 37 ◽  
pp. 544-548
Author(s):  
Pablo Soto-Quiros

In this paper, we propose an error analysis of the generalized low-rank approximation, which is a generalization of the classical approximation of a matrix $A\in\mathbb{R}^{m\times n}$ by a matrix of a rank at most $r$, where $r\leq\min\{m,n\}$.


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