Iteratively reweighted least squares minimization for sparse recovery
✍ Scribed by Ingrid Daubechies; Ronald DeVore; Massimo Fornasier; C. Si̇nan Güntürk
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 385 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0010-3640
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📜 SIMILAR VOLUMES
For linear least squares problems min x Ax -b 2 , where A is sparse except for a few dense rows, a straightforward application of Cholesky or QR factorization will lead to catastrophic fill in the factor R. We consider handling such problems by a matrix stretching technique, where the dense rows ar
This article is concerned with iterative techniques for linear systems of equations arising from a least squares formulation of boundary value problems. In its classical form, the solution of the least squares method is obtained by solving the traditional normal equation. However, for nonsmooth boun