Elastic-Net Regularization: Iterative Algorithms and Asymptotic Behavior of Solutions

摘要

We derive strongly convergent algorithms to solve inverse problems involving elastic-net regularization. Moreover, using functional analysis techniques, we provide a rigorous study of the asymptotic properties of the regularized solutions that allows to cast in a unified framework ℓ1, elastic-net and classical Tikhonov regularization.