On Solving Ill-Conditioned Linear Systems
Numerical Analysis
2016-02-18 v1
Abstract
This paper presents the first results to combine two theoretically sound methods (spectral projection and multigrid methods) together to attack ill-conditioned linear systems. Our preliminary results show that the proposed algorithm applied to a Krylov subspace method takes much fewer iterations for solving an ill-conditioned problem downloaded from a popular online sparse matrix collection.
Cite
@article{arxiv.1602.05211,
title = {On Solving Ill-Conditioned Linear Systems},
author = {Craig C. Douglas and Long Lee and Man-Chung Yeung},
journal= {arXiv preprint arXiv:1602.05211},
year = {2016}
}