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 convergen
β¦ LIBER β¦
On the convergence rate of the over-relaxed proximal point algorithm
β Scribed by Zhenyu Huang; Muhammad Aslam Noor
- Book ID
- 116217569
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 190 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0893-9659
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A remark on the strong convergence of th
β
Zhenyu Huang
π
Article
π
2010
π
Elsevier Science
π
English
β 233 KB
The over-relaxed proximal point algorith
β
Ram U. Verma
π
Article
π
2008
π
Elsevier Science
π
English
β 213 KB
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
On convergence criteria of generalized p
β
Yonghong Yao; Muhammad Aslam Noor
π
Article
π
2008
π
Elsevier Science
π
English
β 163 KB
On the Proximal Point Algorithm
β
B. DjafariΒ Rouhani; H. Khatibzadeh
π
Article
π
2007
π
Springer
π
English
β 225 KB
A general framework for the over-relaxed
β
Ram U. Verma
π
Article
π
2009
π
Elsevier Science
π
English
β 399 KB
Over-relaxed A-proximal point algorithm
The generalized relaxed proximal point a
β
Ram U. Verma
π
Article
π
2009
π
Elsevier Science
π
English
β 449 KB