Good pivots for small sparse matrices
Symbolic Computation
2022-06-02 v2 Machine Learning
Abstract
For sparse matrices up to size , we determine optimal choices for pivot selection in Gaussian elimination. It turns out that they are slightly better than the pivots chosen by a popular pivot selection strategy, so there is some room for improvement. We then create a pivot selection strategy using machine learning and find that it indeed leads to a small improvement compared to the classical strategy.
Cite
@article{arxiv.2006.01623,
title = {Good pivots for small sparse matrices},
author = {Manuel Kauers and Jakob Moosbauer},
journal= {arXiv preprint arXiv:2006.01623},
year = {2022}
}
Comments
11 pages