For sparse matrices up to size 8×8, 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.
| Originalsprache | Englisch |
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| Seitenumfang | 10 |
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| DOIs | |
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| Publikationsstatus | Veröffentlicht - Juni 2020 |
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| Name | arXiv.org |
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| ISSN (Druck) | 2331-8422 |
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- 101 Mathematik
- 101001 Algebra
- 101005 Computeralgebra
- 102019 Machine Learning