Modified Relaxed CQ Iterative Algorithms for the Split Feasibility Problem

Modified Relaxed CQ Iterative Algorithms for the Split Feasibility Problem

The split feasibility problem models inverse problems arising from phase retrievals problems and intensity-modulated radiation therapy. For solving the split feasibility problem, Xu proposed a relaxed CQ algorithm that only involves projections onto half-spaces. In this paper, we use the dual variab...

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Bibliographic Details
Main Authors: Xinglong Wang, Jing Zhao, Dingfang Hou
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Mathematics
Subjects:
split feasibility problem
relaxed CQ algorithm
convergence
Hilbert space
Online Access:https://www.mdpi.com/2227-7390/7/2/119

Internet

https://www.mdpi.com/2227-7390/7/2/119

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