A multipoint method of minimization of a convex function

摘要

The problem of minimization of a convex nonsmooth function in a finite-dimensional space is considered. The method employs the Moreau-Yosida regularization. To accelerate the computation process, the proximate function is constructed using quasi-Newton matrices.