A proximal multiplier method for separable convex minimization

O. Sarmiento, E. A. Papa Quiroz, P. R. Oliveira

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


In this paper, we propose an inexact proximal multiplier method using proximal distances for solving convex minimization problems with a separable structure. The proposed method unifies the works of Chen and Teboulle (PCPM method), Kyono and Fukushima (NPCPMM) and Auslender and Teboulle (EPDM), and extends the convergence properties for the class of (Formula presented.) -divergence distances. We prove, under standard assumptions, that the iterations generated by the method are well defined and the sequence converges to an optimal solution of the problem.

Original languageEnglish
Pages (from-to)501-537
Number of pages37
Issue number2
StatePublished - 1 Feb 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Taylor & Francis.


  • convex functions
  • proximal distances
  • proximal multiplier methods
  • separable convex problems


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