The modified inertial relaxed CQ algorithm for solving the split feasibility problems

© 2018 American Institute of Mathematical Sciences. In this work, we propose a new version of inertial relaxed CQ algorithms for solving the split feasibility problems in the frameworks of Hilbert spaces. We then prove its strong convergence by using a viscosity approximation method under some weake...

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Main Authors: Suthep Suantai, Nattawut Pholasa, Prasit Cholamjiak
格式: 雜誌
出版: 2018
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在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054989308&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62603
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機構: Chiang Mai University
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總結:© 2018 American Institute of Mathematical Sciences. In this work, we propose a new version of inertial relaxed CQ algorithms for solving the split feasibility problems in the frameworks of Hilbert spaces. We then prove its strong convergence by using a viscosity approximation method under some weakened assumptions. To be more precisely, the computation on the norm of operators and the metric projections is relaxed. Finally, we provide numerical experiments to illustrate the convergence behavior and to show the effectiveness of the sequences constructed by the inertial technique.