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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Main Authors: Pham, Ky Anh, Cao, Van Chung
Format: Article
Language:English
Published: H. : ĐHQGHN 2017
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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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spelling oai:112.137.131.14:VNU_123-564422018-09-06T02:57:16Z On strongly convergent parallel proximal point algorithms Pham, Ky Anh Cao, Van Chung Inonoionc operator Proximal point method Iterative regularization method Parallel computation 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. 2017-08-11T02:39:04Z 2017-08-11T02:39:04Z 2011 Article Pham, K. A., Cao, V. C. (2011). On strongly convergent parallel proximal point algorithms. VNU Journal of Science, Mathematics – Physics Vol. 27, No. 2, 67-75 2588-1124 http://repository.vnu.edu.vn/handle/VNU_123/56442 en VNU Journal of Science, Mathematics – Physics application/pdf H. : ĐHQGHN
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Inonoionc operator
Proximal point method
Iterative regularization method
Parallel computation
spellingShingle Inonoionc operator
Proximal point method
Iterative regularization method
Parallel computation
Pham, Ky Anh
Cao, Van Chung
On strongly convergent parallel proximal point algorithms
description 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.
format Article
author Pham, Ky Anh
Cao, Van Chung
author_facet Pham, Ky Anh
Cao, Van Chung
author_sort Pham, Ky Anh
title On strongly convergent parallel proximal point algorithms
title_short On strongly convergent parallel proximal point algorithms
title_full On strongly convergent parallel proximal point algorithms
title_fullStr On strongly convergent parallel proximal point algorithms
title_full_unstemmed On strongly convergent parallel proximal point algorithms
title_sort on strongly convergent parallel proximal point algorithms
publisher H. : ĐHQGHN
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/56442
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