Incremental Subgradients for Constrained Convex Optimization: A Unified Framework and New Methods
SIAM Journal on Optimization
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An new adaptive level-set subgradient projection algorithm is proposed to solve non-differentiable signal recovery problems with multiple convex constraints. The algorithm is described, its convergence is established, and its implementation is discussed. Applications to constrained total variation signal restoration and denoising are demonstrated.