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Good pivots for small sparse matrices

Symbolic Computation 2022-06-02 v2 Machine Learning

Abstract

For sparse matrices up to size 8×88 \times 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.

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

R2 v1 2026-06-23T15:59:36.724Z