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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Nakatsukasa, Y, Tropp, JA
פורמט: Journal article
שפה:English
יצא לאור: Society for Industrial and Applied Mathematics 2024