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...
| Autores principales: | , |
|---|---|
| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Society for Industrial and Applied Mathematics
2024
|