Abstract
In this paper, we introduce an iterative process for finding a common element of the set of fixed points of a nonexpansive mapping and the set of solutions of a constrained convex minimization problem for a Fŕechet differentiable function. The iterative process is based on the so-called extragradientprojection method. We derive several weak convergence results for two sequences generated by the proposed iterative process. On the other hand, by applying the viscosity approximation method and the additional projection method (namely, the CQ method) to the extragradient-projection method, respectively, we also provide two modifications of the extragradient-projection method to obtain two strong convergence theorems. The results of this paper represent the supplement, improvement, extension and development of some known results given in the literature.
| Original language | English |
|---|---|
| Pages (from-to) | 341-359 |
| Number of pages | 19 |
| Journal | Numerical Algebra, Control and Optimization |
| Volume | 1 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2011 |
| Externally published | Yes |
Keywords
- Averaged mapping
- Constrained convex minimization
- Extragradient-projection method
- Iterative processes
- Nonexpansive mapping
- Relaxed extragradient-projection method
ASJC Scopus subject areas
- Algebra and Number Theory
- Control and Optimization
- Applied Mathematics