A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems
© 2020 by the authors. In this paper, we study a modified viscosity type subgradient extragradient-line method with a parallel monotone hybrid algorithm for approximating a common solution of variational inequality problems. Under suitable conditions in Hilbert spaces, the strong convergence theorem...
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th-cmuir.6653943832-684562020-04-02T15:27:39Z A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems Suthep Suantai Pronpat Peeyada Damrongsak Yambangwai Watcharaporn Cholamjiak Mathematics © 2020 by the authors. In this paper, we study a modified viscosity type subgradient extragradient-line method with a parallel monotone hybrid algorithm for approximating a common solution of variational inequality problems. Under suitable conditions in Hilbert spaces, the strong convergence theorem of the proposed algorithm to such a common solution is proved. We then give numerical examples in both finite and infinite dimensional spaces to justify our main theorem. Finally, we can show that our proposed algorithm is flexible and has good quality for use with common types of blur effects in image recovery. 2020-04-02T15:27:39Z 2020-04-02T15:27:39Z 2020-02-01 Journal 22277390 2-s2.0-85080143644 10.3390/math8020248 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080143644&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68456 |
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Mathematics Suthep Suantai Pronpat Peeyada Damrongsak Yambangwai Watcharaporn Cholamjiak A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
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© 2020 by the authors. In this paper, we study a modified viscosity type subgradient extragradient-line method with a parallel monotone hybrid algorithm for approximating a common solution of variational inequality problems. Under suitable conditions in Hilbert spaces, the strong convergence theorem of the proposed algorithm to such a common solution is proved. We then give numerical examples in both finite and infinite dimensional spaces to justify our main theorem. Finally, we can show that our proposed algorithm is flexible and has good quality for use with common types of blur effects in image recovery. |
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Suthep Suantai Pronpat Peeyada Damrongsak Yambangwai Watcharaporn Cholamjiak |
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Suthep Suantai Pronpat Peeyada Damrongsak Yambangwai Watcharaporn Cholamjiak |
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Suthep Suantai |
title |
A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
title_short |
A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
title_full |
A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
title_fullStr |
A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
title_full_unstemmed |
A parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
title_sort |
parallel-viscosity-type subgradient extragradient-line method for finding the common solution of variational inequality problems applied to image restoration problems |
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2020 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080143644&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68456 |
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