Primal-Dual Extrapolation Methods for Monotone Inclusions Under Local Lipschitz Continuity

Zhaosong Lu*, Sanyou MEI

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

In this paper, we consider a class of monotone inclusion (MI) problems of finding a zero of the sum of two monotone operators, in which one operator is maximal monotone, whereas the other is locally Lipschitz continuous. We propose primal-dual (PD) extrapolation methods to solve them using a point and operator extrapolation technique, whose parameters are chosen by a backtracking line search scheme. The proposed methods enjoy an operation complexity of 𝒪⁡(log⁡𝜀−1)
and 𝒪⁡(𝜀−1⁢log⁡𝜀−1)
, measured by the number of fundamental operations consisting only of evaluations of one operator and resolvent of the other operator, for finding an ε-residual solution of strongly and nonstrongly MI problems, respectively. The latter complexity significantly improves the previously best operation complexity 𝒪⁡(𝜀−2)
. As a byproduct, complexity results of the primal-dual extrapolation methods are also obtained for finding an ε-KKT or ε-residual solution of convex conic optimization, conic constrained saddle point, and variational inequality problems under local Lipschitz continuity. We provide preliminary numerical results to demonstrate the performance of the proposed methods.
Original languageEnglish
JournalMathematics of Operations Research
DOIs
Publication statusE-pub ahead of print - 9 Oct 2024
Externally publishedYes

Keywords

  • local Lipschitz continuity
  • primal-dual extrapolation
  • operator splitting
  • monotone inclusion
  • convex conic optimization
  • saddle point
  • variational inequality
  • iteration complexity
  • operation complexity

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