Generalized Eckstein–Bertsekas proximal point algorithm based on -maximal monotonicity design
✍ Scribed by Rom U. Verma
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 350 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0898-1221
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📜 SIMILAR VOLUMES
First the general framework for a generalized over-relaxed proximal point algorithm using the notion of H -maximal monotonicity (also referred to as H -monotonicity) is developed, and then the convergence analysis for this algorithm in the context of solving a general class of nonlinear inclusion pr
In this paper we introduce general iterative methods for finding zeros of a maximal monotone operator in a Hilbert space which unify two previously studied iterative methods: relaxed proximal point algorithm [H.K. Xu, Iterative algorithms for nonlinear operators, J. London Math Soc. 66 (2002) 240-25