Self-adaptive-type CQ algorithms for split equality problems
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2020
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| _version_ | 1866912018244567040 |
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| author | Li, Songxiao Tan, Bing Zhou, Zheng |
| author_facet | Li, Songxiao Tan, Bing Zhou, Zheng |
| contents | The purpose of this paper is concerned with the approximate solution of split equality problems. We introduce two types of algorithms and a new self-adaptive stepsize without prior knowledge of operator norms. The corresponding strong convergence theorems are obtained under mild conditions. Finally, some numerical experiments demonstrate the efficiency of our results and compare them with the existing results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2011_07969 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Self-adaptive-type CQ algorithms for split equality problems Li, Songxiao Tan, Bing Zhou, Zheng Functional Analysis Numerical Analysis 47H10, 49M20, 65Y10, 90C25 The purpose of this paper is concerned with the approximate solution of split equality problems. We introduce two types of algorithms and a new self-adaptive stepsize without prior knowledge of operator norms. The corresponding strong convergence theorems are obtained under mild conditions. Finally, some numerical experiments demonstrate the efficiency of our results and compare them with the existing results. |
| title | Self-adaptive-type CQ algorithms for split equality problems |
| topic | Functional Analysis Numerical Analysis 47H10, 49M20, 65Y10, 90C25 |
| url | https://arxiv.org/abs/2011.07969 |