Fast and accurate randomized algorithms for linear systems and eigenvalue problems
This paper develops a class of algorithms for general linear systems and eigenvalue problems. These algorithms apply fast randomized dimension reduction (``sketching"") to accelerate standard subspace projection methods, such as GMRES and Rayleigh--Ritz. This modification makes it possible...
Autors principals: | Nakatsukasa, Y, Tropp, JA |
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Format: | Journal article |
Idioma: | English |
Publicat: |
Society for Industrial and Applied Mathematics
2024
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