Abstract
This research project aims to develop a thorough analysis of the block-coordinate descent methods for huge-scale convex minimization. A major purpose is to detect and exploit the identification properties of such a class of methods in problems with simple constraints. Another goal is to employ spectral elements in the identified subspace, to accomplish an efficient and robust method. The …