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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Nakatsukasa, Y, Tropp, JA
Format: Journal article
Sprache:English
Veröffentlicht: Society for Industrial and Applied Mathematics 2024