Operations Research Transactions >
2025 , Vol. 29 >Issue 1: 172 - 184
DOI: https://doi.org/10.15960/j.cnki.issn.1007-6093.2025.01.014
An inertial alternating direction method of multiplier for low rank matrix completion
Received date: 2022-09-28
Online published: 2025-03-08
Copyright
The alternating direction method of multiplier is attractive for solving matrix completion problems, which has the advantage of being able to decompose a minimization problem into many smaller and easier subproblems. Therefore, it is popular in the field of image processing and data analysis in recent years. Based on the framework of the alternating direction method of multiplier, we combine the inertial strategy and propose an inertial accelerated alternating direction method of multiplier to solve the matrix completion problems in this paper. In each iteration of the new method, for some of variables, the iterative points of the previous two iterations of the alternating direction method of multiplier are extrapolated to obtain the new iteration points, which improve the computational efficiency of the new method. Under the reasonable assumptions, we prove convergence of the new method. Finally, we also verify the effectiveness and feasibility of the new method by numerical experiments of random matrix completion and an example of image restoration.
Xihong YAN, Xiaoni TANG . An inertial alternating direction method of multiplier for low rank matrix completion[J]. Operations Research Transactions, 2025 , 29(1) : 172 -184 . DOI: 10.15960/j.cnki.issn.1007-6093.2025.01.014
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