Computing the Determinant of a Dense Matrix over Z

Fuente: arXiv
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Autori principali: Abbott, John, Fieker, Claus
Natura: Preprint
Pubblicazione: 2024
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author Abbott, John
Fieker, Claus
author_facet Abbott, John
Fieker, Claus
contents We present a new, practical algorithm for computing the determinant of a non-singular dense, uniform matrix over Z; the aim is to achieve better practical efficiency, which is always at least as good as currently known methods. The algorithm uses randomness internally, but the result is guaranteed correct. The main new idea is to use a modular HNF in cases where the Pauderis--Storjohann HCOL method performs poorly. The algorithm is implemented in OSCAR~1.0.
format Preprint
id arxiv_https___arxiv_org_abs_2404_08358
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Computing the Determinant of a Dense Matrix over Z
Abbott, John
Fieker, Claus
Number Theory
15B36 (Primary), 11C20 (Secondary), 15-04, 15A15
We present a new, practical algorithm for computing the determinant of a non-singular dense, uniform matrix over Z; the aim is to achieve better practical efficiency, which is always at least as good as currently known methods. The algorithm uses randomness internally, but the result is guaranteed correct. The main new idea is to use a modular HNF in cases where the Pauderis--Storjohann HCOL method performs poorly. The algorithm is implemented in OSCAR~1.0.
title Computing the Determinant of a Dense Matrix over Z
topic Number Theory
15B36 (Primary), 11C20 (Secondary), 15-04, 15A15
url https://arxiv.org/abs/2404.08358