A new adaptive two-metric projection method for ℓ1 minimization with global convergence, finite-time manifold identification, and superlinear local rate under an error bound condition.
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On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
A new adaptive two-metric projection method for ℓ1 minimization with global convergence, finite-time manifold identification, and superlinear local rate under an error bound condition.