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

• 成果类型: Article; Early Access
• 署名作者: Lu, Zhaosong; Mei, Sanyou
• 署名单位: University of Minnesota System; University of Minnesota Twin Cities
• 刊物名称: MATHEMATICS OF OPERATIONS RESEARCH
• ISSN/ISSBN: 0364-765X
• DOI: 10.1287/moor.2024.0407
• 发表日期: 2024
• 关键词: backward splitting method; saddle-point; variational-inequalities; CONVERGENCE; complexity; Operators; algorithms; SUM

摘要

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 epsilon-1) and O(epsilon-1log epsilon-1), measured by the number of fundamental operations consisting only of evaluations of one operator and resolvent of the other operator, for finding an epsilon-residual solution of strongly and nonstrongly MI problems, respectively. The latter complexity significantly improves the previously best operation complexity O(epsilon-2). As a byproduct, complexity results of the primal-dual extrapolation methods are also obtained for finding an epsilon-KKT or epsilon-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.