On strongly convergent parallel proximal point algorithms

On strongly convergent parallel proximal point algorithms

This paper is concerned with two parallel proximal point algorithms for solving a system of' ili-posed equations involving monotone operators. They are parallel versions of the projection-proximal point method proposed by Solodov and Svaiter and the regularizationproximal point method introduce...

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Bibliographic Details
Main Authors: Pham, Ky Anh, Cao, Van Chung
Format: Article
Language:English
Published: H. : ĐHQGHN 2017
Subjects:
Inonoionc operator
Proximal point method
Iterative regularization method
Parallel computation
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/56442
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Institution: Vietnam National University, Hanoi
Language: English
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Summary:This paper is concerned with two parallel proximal point algorithms for solving a system of' ili-posed equations involving monotone operators. They are parallel versions of the projection-proximal point method proposed by Solodov and Svaiter and the regularizationproximal point method introduced by Ryazantseva, respectively. The convergence analysis of both methods has been investigated. The paper is completed by some numerical experiments.

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