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
A remark on the strong convergence of the over-relaxed proximal point algorithm
โ Scribed by Zhenyu Huang
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 233 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
This paper illustrates that the conditions and the main proof of two main theorems of Verma [R.U. Verma, The over-relaxed proximal point algorithm based on H-maximal monotonicity design and applications, Computers and Mathematics with Applications 55 (2008) 2673-2679] concerning the strong convergence of the over-relaxed proximal point algorithm for H-maximal monotone mappings in Hilbert spaces are incorrect.
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