Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4634884 | Applied Mathematics and Computation | 2007 | 8 Pages |
Abstract
It is well known that a possibly nonsmooth convex minimization problem can be transformed into a differentiable convex optimization problem by using the Moreau-Yosida regularization. This paper presents a new trust region method to solve the latter problem. Under some reasonable assumptions, the proposed algorithm is shown to be globally and Q-superlinearly convergent.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Liping Zhang,