A Hybrid Forward–Backward Algorithm and Its Optimization Application

A Hybrid Forward–Backward Algorithm and Its Optimization Application

In this paper, we study a hybrid forward−backward algorithm for sparse reconstruction. Our algorithm involves descent, splitting and inertial ideas. Under suitable conditions on the algorithm parameters, we establish a strong convergence solution theorem in the framework of Hilbert spaces....

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Bibliographic Details
Main Authors: Liya Liu, Xiaolong Qin, Jen-Chih Yao
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Mathematics
Subjects:
forward–backward method
hybrid steepest decent method
inertial extrapolation
maximally monotone
strong convergence
Online Access:https://www.mdpi.com/2227-7390/8/3/447

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