Proximal iteratively reweighted algorithm for low-rank matrix recovery
نویسندگان
چکیده
منابع مشابه
Proximal iteratively reweighted algorithm for low-rank matrix recovery
This paper proposes a proximal iteratively reweighted algorithm to recover a low-rank matrix based on the weighted fixed point method. The weighted singular value thresholding problem gains a closed form solution because of the special properties of nonconvex surrogate functions. Besides, this study also has shown that the proximal iteratively reweighted algorithm lessens the objective function...
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ژورنال
عنوان ژورنال: Journal of Inequalities and Applications
سال: 2018
ISSN: 1029-242X
DOI: 10.1186/s13660-017-1602-x