English

Anderson Acceleration for Nonsmooth Fixed Point Problems

Optimization and Control 2022-09-22 v1

Abstract

We give new convergence results of Anderson acceleration for the composite max\max fixed point problem. We prove that Anderson(1) and EDIIS(1) are q-linear convergent with a smaller q-factor than existing q-factors. Moreover, we propose a smoothing approximation of the composite max function in the contractive fixed point problem. We show that the smoothing approximation is a contraction mapping with the same fixed point as the composite max\max fixed point problem. Our results rigorously confirm that the nonsmoothness does not affect the convergence rate of Anderson acceleration method when we use the proposed smoothing approximation for the composite max\max fixed point problem. Numerical results for constrained minimax problems, complementarity problems and nonsmooth differential equations are presented to show the efficiency and good performance of the proposed Anderson acceleration method with smoothing approximation.

Keywords

Cite

@article{arxiv.2209.10336,
  title  = {Anderson Acceleration for Nonsmooth Fixed Point Problems},
  author = {Wei Bian and Xiaojun Chen},
  journal= {arXiv preprint arXiv:2209.10336},
  year   = {2022}
}
R2 v1 2026-06-28T01:49:00.586Z