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math.NA2010
Low-rank matrix recovery via iteratively reweighted least squares minimization
Massimo Fornasier, Holger Rauhut, Rachel Ward
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 algo…
math.NA2010★ 5 cited
Sparse Legendre expansions via minimization
Holger Rauhut, Rachel Ward
We consider the problem of recovering polynomials that are sparse with respect to the basis of Legendre polynomials from a small number of random samples. In particular, we show th…