State-Dependent Sweeping Processes: Asymptotic Behavior and Algorithmic Approaches
Optimization and Control
2023-11-23 v1
Abstract
In this paper, we investigate the asymptotic properties of a particular class of state-dependent sweeping processes. While extensive research has been conducted on the existence and uniqueness of solutions for sweeping processes, there is a scarcity of studies addressing their behavior in the limit of large time. Additionally, we introduce novel algorithms designed for the resolution of quasi-variational inequalities. As a result, we introduce a new derivative-free algorithm to find zeros of nonsmooth Lipschitz continuous mappings with a linear convergence rate. This algorithm can be effectively used in nonsmooth and nonconvex optimization problems that do not possess necessarily second-order differentiability conditions of the data.
Cite
@article{arxiv.2311.13092,
title = {State-Dependent Sweeping Processes: Asymptotic Behavior and Algorithmic Approaches},
author = {Samir Adly and Monica G. Cojocaru and Ba Khiet Le},
journal= {arXiv preprint arXiv:2311.13092},
year = {2023}
}