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Two hybrid alternating CQ-algorithms for solving the linear least square problem. (Chinese. English summary) Zbl 07267083
Summary: In this paper, we present two modified hybrid alternating CQ-algorithms to study the linear least square problem. Many researchers studied this problem and proposed various algorithms to solve it. The hybrid alternating CQ-algorithms, arising from phase retrievals, medical image reconstruction, modeling of intensity modulated radiation therapy, signal processing and tomography, have broad applications in many scientific areas. We give two new algorithms and give the proof of their weak convergence. As application, we consider the linear least square problem.
MSC:
65J10 Numerical solutions to equations with linear operators (do not use 65Fxx)
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