Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Randomized low‐rank approximation of parameter‐dependent matrices
Randomized low‐rank approximation of parameter‐dependent matrices
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Daniel Kressner
,
Hei Yin Lam
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Numerical Linear Algebra with Applications
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
On rank‐revealing QR factorizations of quaternion matrices
by: Qiaohua Liu, et al.
Published: (2024)
Accurate bidiagonal decompositions of Cauchy–Vandermonde matrices of any rank
by: Jorge Delgado, et al.
Published: (2024)
Matrix‐less methods for the spectral approximation of large non‐Hermitian Toeplitz matrices: A concise theoretical analysis and a numerical study
by: Manuel Bogoya, et al.
Published: (2024)
Memory‐efficient compression of 𝒟ℋ2‐matrices for high‐frequency Helmholtz problems
by: Steffen Börm, et al.
Published: (2024)
Anderson acceleration with approximate calculations: Applications to scientific computing
by: Massimiliano Lupo Pasini, et al.
Published: (2024)