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Please use this identifier to cite or link to this item: http://192.168.1.231:8080/dulieusoDIGITAL_123456789/5986
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dc.contributor.authorCao Van Chung-
dc.date.accessioned2020-06-25T15:49:59Z-
dc.date.available2020-06-25T15:49:59Z-
dc.date.issued2020-
dc.identifier.urihttp://192.168.1.231:8080/dulieusoDIGITAL_123456789/5986-
dc.description.abstractThis 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 regularization- proximal point method introduced by Ryazantseva, respectively. The convergence analysis of both methods has been investigated. The paper is completed by some numerical experiments computation.en_US
dc.publisherĐại học Quốc gia Hà Nộien_US
dc.titleOn strongly convergent parallel proximal point algorithmsen_US
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