Modified Proximal-Point Algorithm for Maximal Monotone Operators in Banach Spaces

2008 ◽  
Vol 138 (1) ◽  
pp. 45-64 ◽  
Author(s):  
L. Li ◽  
W. Song
2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Lingling Huang ◽  
Sanyang Liu ◽  
Weifeng Gao

This paper presents and analyzes a strongly convergent approximate proximal point algorithm for finding zeros of maximal monotone operators in Hilbert spaces. The proposed method combines the proximal subproblem with a more general correction step which takes advantage of more information on the existing iterations. As applications, convex programming problems and generalized variational inequalities are considered. Some preliminary computational results are reported.


2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Oganeditse A. Boikanyo

We construct a sequence of proximal iterates that converges strongly (under minimal assumptions) to a common zero of two maximal monotone operators in a Hilbert space. The algorithm introduced in this paper puts together several proximal point algorithms under one frame work. Therefore, the results presented here generalize and improve many results related to the proximal point algorithm which were announced recently in the literature.


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