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An inertial triple-projection algorithm for solving the split feasibility problem
Author(s) -
Yazheng Dang,
Marcus Ang,
Jie Sun
Publication year - 2022
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2022019
Subject(s) - convergence (economics) , inertial frame of reference , projection (relational algebra) , algorithm , computer science , projection method , process (computing) , variable (mathematics) , dykstra's projection algorithm , mathematical optimization , mathematics , mathematical analysis , physics , quantum mechanics , economics , economic growth , operating system
This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.

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