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The Developments of Proximal Point Algorithms

  • Xing Ju Cai
  • , Ke Guo
  • , Fan Jiang
  • , Kai Wang
  • , Zhong Ming Wu
  • , De Ren Han*
  • *Corresponding author for this work
  • Nanjing Normal University
  • China West Normal University
  • Nanjing University of Information Science & Technology
  • Nanjing University of Science and Technology

Research output: Contribution to journalReview articlepeer-review

Abstract

The problem of finding a zero point of a maximal monotone operator plays a central role in modeling many application problems arising from various fields, and the proximal point algorithm (PPA) is among the fundamental algorithms for solving the zero-finding problem. PPA not only provides a very general framework of analyzing convergence and rate of convergence of many algorithms, but also can be very efficient in solving some structured problems. In this paper, we give a survey on the developments of PPA and its variants, including the recent results with linear proximal term, with the nonlinear proximal term, as well as the inexact forms with various approximate criteria.

Original languageEnglish
Pages (from-to)197-239
Number of pages43
JournalJournal of the Operations Research Society of China
Volume10
Issue number2
DOIs
StatePublished - Jun 2022

Keywords

  • Approximate criteria
  • Bregman distance
  • Optimization
  • Proximal point algorithms
  • Variational inequality problems
  • Zero-finding problems

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