A Comparison of Mixed Precision Iterative Refinement Approaches for Least-Squares Problems

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Publication Details

Journal
SIAM Journal on Matrix Analysis and Applications
Published
2025-04-17
DOI
https://doi.org/10.1137/24m1664927
Citations
4
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
6.02

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article

A Comparison of Mixed Precision Iterative Refinement Approaches for Least-Squares Problems

Ieva Daužickaitė, Erin Carson
4 citations
SIAM Journal on Matrix Analysis and Applications
Matrix Theory and Algorithms
6.02
article

A Comparison of Mixed Precision Iterative Refinement Approaches for Least-Squares Problems

Ieva Daužickaitė, Erin Carson
article en
4 citations

Abstract

No abstract available for this paper.
SIAM Journal on Matrix Analysis and ApplicationsVol. 46(2)
Charles University (CZ), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (FR)
Office of Science, National Nuclear Security Administration, European Research Council
Openalex Percentile: Top 4%
Matrix Theory and Algorithms
6.02
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