Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1709843 | Applied Mathematics Letters | 2008 | 6 Pages |
Abstract
A generalization to Rockafellar’s theorem (1976) in the context of approximating a solution to a general inclusion problem involving a set-valued AA-maximal monotone mapping using the proximal point algorithm in a Hilbert space setting is presented. Although there exists a vast literature on this theorem, most of the studies are focused on just relaxing the proximal point algorithm and applying to the inclusion problems. The general framework for AA-maximal monotonicity (also referred to as the AA-monotonicity framework in literature) generalizes the general theory of set-valued maximal monotone mappings, including the HH-maximal monotonicity (also referred to as HH-monotonicity).
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Ram U. Verma,