Iteratively reweighted least squares minimization for sparse recovery
نویسندگان
چکیده
منابع مشابه
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization
We present and analyze an efficient implementation of an iteratively reweighted least squares algorithm for recovering a matrix from a small number of linear measurements. The algorithm is designed for the simultaneous promotion of both a minimal nuclear norm and an approximatively low-rank solution. Under the assumption that the linear measurements fulfill a suitable generalization of the null...
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ژورنال
عنوان ژورنال: Communications on Pure and Applied Mathematics
سال: 2010
ISSN: 0010-3640,1097-0312
DOI: 10.1002/cpa.20303