Augmented l1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Revision 1.

摘要

This paper studies the long-existing idea of adding a nice smooth function to 'smooth' a nondifferentiable objective function in the context of sparse optimization.