Elastic-net regularization: iterative algorithms and asymptotic behavior of solutions

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 l^1, elastic-net and classical Tikhonov regularization.