We focus on developing an Augmented Lagrangian Method (ALM) frame- work for resolving nonsmooth convex optimization problems. The problem of interest is formulated as follows.
$\min_{\mathbf{x}\in\mathcal{X}} f(\mathbf{x}) \quad \text{subject to} \quad g(\mathbf{x}) \leq 0$
