Regularization of proximal point algorithms in Hadamard manifolds

Qamrul Hasan Ansari*, Feeroz Babu, Jen Chih Yao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

109 Scopus citations

Abstract

In this paper, we consider the regularization method for exact as well as for inexact proximal point algorithms for finding the singularities of maximal monotone set-valued vector fields. We prove that the sequences generated by these algorithms converge to an element of the set of singularities of a maximal monotone set-valued vector field. A numerical example is provided to illustrate the inexact proximal point algorithm with regularization. Applications of our results to minimization problems and saddle point problems are given in the setting of Hadamard manifolds.

Original languageEnglish
Article number25
JournalJournal of Fixed Point Theory and Applications
Volume21
Issue number1
DOIs
StatePublished - 1 Mar 2019

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

  • Hadamard manifolds
  • Inclusion problems
  • maximal monotone vector fields
  • minimization problems
  • proximal point algorithms
  • regularization method
  • saddle point problems

ASJC Scopus subject areas

  • Modeling and Simulation
  • Geometry and Topology
  • Applied Mathematics

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