Name
Abstract | ||
|---|---|---|
In this paper, we use the dual variable to propose a self-adaptive iterative algorithm for solving the split common fixed point problems of averaged mappings in real Hilbert spaces. Under suitable conditions, we get the weak convergence of the proposed algorithm and give applications in the split feasibility problem and the split equality problem. Some numerical experiments are given to illustrate the efficiency of the proposed iterative algorithm. Our results improve and extend the corresponding results announced by many others. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11075-018-0640-x | Numerical Algorithms |
Keywords | Field | DocType |
Split common fixed-point problem, Iterative algorithm, Dual variable, Averaged mapping, Weak convergence, Hilbert space, 47H09, 47H10, 47J05, 54H25 | Hilbert space,Applied mathematics,Weak convergence,Mathematical optimization,Common fixed point,Iterative method,Self adaptive,Mathematics | Journal |
Volume | Issue | ISSN |
82 | 3 | 1572-9265 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Zhao | 1 | 14 | 2.73 |
| Dingfang Hou | 2 | 1 | 0.36 |