A monotone block coordinate descent method for solving absolute value equations
Tingting Luo, Jiayu Liu, Cairong Chen, Qun Wang

TL;DR
This paper introduces a monotone block coordinate descent algorithm for solving absolute value equations, providing theoretical convergence analysis and numerical evidence of its effectiveness.
Contribution
It presents a novel monotone block coordinate descent method specifically designed for absolute value equations, with proven convergence properties.
Findings
Algorithm converges globally under certain conditions
Numerical experiments confirm the method's feasibility
Effective in solving AVEs efficiently
Abstract
In this paper, we proposed a monotone block coordinate descent method for solving absolute value equation (AVE). Under appropriate conditions, we analyzed the global convergence of the algorithm and conduct numerical experiments to demonstrate its feasibility and effectiveness.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Statistical and numerical algorithms
