Operations Research Transactions ›› 2025, Vol. 29 ›› Issue (4): 175-190.doi: 10.15960/j.cnki.issn.1007-6093.2025.04.014

• Research Article • Previous Articles     Next Articles

Convergence analysis of the inexact generalized alternating direction method of multipliers with indefinite proximal term

Rui SONG1, Yiran WANG1, Zhongming WU1,*()   

  1. 1. School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • Received:2022-11-01 Online:2025-12-15 Published:2025-12-11
  • Contact: Zhongming WU E-mail:wuzm@nuist.edu.cn

Abstract:

It is well known that alternating direction method of multipliers (ADMM) and its variants are of the popular methods in solving many practical problems. However, the efficiency of ADMM based methods largely relies on the solvability of the involving subproblems. In this paper, we propose an inexact generalized proximal ADMM with optimal indefinite proximal term to solve the separable convex minimization problem with linear constraints. The relative-error criterion with only one constant belonging in [0, 1) is introduced to solve one of subproblems approximately, and the other subproblem is solved by introducing an optimal indefinite proximal term. The proposed method inherits the advantages of both the relative error criterion and the indefinite proximal term. Based on the variational inequality framework, the convergence of the developed method is rigorously conducted. Some numerical experiments on TV-$\ell $2 image restoration problem are conducted to illustrate the efficiency of the new method.

Key words: convex optimization, generalized alternating direction method of multipliers, inexact, relative error criterion, indefinite proximal term

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