Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization
Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization
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Philadelphia: Society for Industrial and Applied Mathematics
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English
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Philadelphia: Society for Industrial and Applied Mathematics
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In this paper, we first study $\ell_q$ minimization and its associated iterative reweighted algorithm for recovering sparse vectors. Unlike most existing work, we focus on unconstrained $\ell_q$ minimization, for which we show a few advantages on noisy measurements and/or approximately sparse vectors. Inspired by the results in [Daubechies et al.,...
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Full title
Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization
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TN_cdi_proquest_miscellaneous_1349437960
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1349437960
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ISSN
0036-1429
E-ISSN
1095-7170
DOI
10.1137/110840364
