A linearly convergent method for solving high-order proximal operator
Optimization and Control
2023-09-06 v1
Abstract
Recently, various high-order methods have been developed to solve the convex optimization problem. The auxiliary problem of these methods shares the general form that is the same as the high-order proximal operator proposed by Nesterov. In this paper, we present a linearly convergent method to solve the high-order proximal operator based on the classical proximal operator. In addition, some experiments are performed to demonstrate the performance of the proposed method.
Cite
@article{arxiv.2309.01306,
title = {A linearly convergent method for solving high-order proximal operator},
author = {Jingyu Gao and Xiurui Geng},
journal= {arXiv preprint arXiv:2309.01306},
year = {2023}
}