Juliane Sigl

most citedHarmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery

18 citations · 18 across the 1 of their papers we have counts for

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2 papers

math.NA2017★ 18 cited

Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery

Christian Kümmerle, Juliane Sigl

We propose a new iteratively reweighted least squares (IRLS) algorithm for the recovery of a matrix $X \in C^{d_{1} \times d_{2}}$ of rank $r ≪ min (d_{1}, d_{2})$ from incomplete…

math.NA2015

Nonlinear Residual Minimization by Iteratively Reweighted Least Squares

Juliane Sigl

We address the numerical solution of minimal norm residuals of {\it nonlinear} equations in finite dimensions. We take inspiration from the problem of finding a sparse vector solut…