Gradient methods with selection technique for the multiple-sets split feasibility problem
In this paper, we present two new iterative algorithms for approximating a solution of the multiple-sets split feasibility problem. The suggested algorithms are based on the gradient method with selection technique. Weak and strong convergence theorems are demonstrated.
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| Veröffentlicht in: | Optimization Jg. 69; H. 2; S. 269 - 281 |
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01.02.2020
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| Abstract | In this paper, we present two new iterative algorithms for approximating a solution of the multiple-sets split feasibility problem. The suggested algorithms are based on the gradient method with selection technique. Weak and strong convergence theorems are demonstrated. |
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| AbstractList | In this paper, we present two new iterative algorithms for approximating a solution of the multiple-sets split feasibility problem. The suggested algorithms are based on the gradient method with selection technique. Weak and strong convergence theorems are demonstrated. |
| Author | Postolache, Mihai Zhu, Zhichuan Yao, Yonghong |
| Author_xml | – sequence: 1 givenname: Yonghong surname: Yao fullname: Yao, Yonghong organization: School of Mathematics and Information Science, North Minzu University – sequence: 2 givenname: Mihai surname: Postolache fullname: Postolache, Mihai email: emscolar@yahoo.com organization: Department of Mathematics and Informatics, University "Politehnica" of Bucharest – sequence: 3 givenname: Zhichuan surname: Zhu fullname: Zhu, Zhichuan organization: School of Economics, Liaoning University |
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| SubjectTerms | Algorithms Feasibility gradient method iterative algorithm Iterative algorithms Multiple-sets split feasibility problem projection |
| Title | Gradient methods with selection technique for the multiple-sets split feasibility problem |
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