A Hybrid Algorithm for Computing a Partial Singular Value Decomposition Satisfying a Given Threshold

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Baglama, James, Casillas, Jonathan A. Chávez, Perović, Vasilije
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917739307728896
author Baglama, James
Casillas, Jonathan A. Chávez
Perović, Vasilije
author_facet Baglama, James
Casillas, Jonathan A. Chávez
Perović, Vasilije
contents In this paper, we describe a new hybrid algorithm for computing all singular triplets above a given threshold and provide its implementation in MATLAB/Octave and R. The high performance of our codes and ease at which they can be used, either independently or within a larger numerical scheme, are illustrated through several numerical examples with applications to matrix completion and image compression. Well-documented MATLAB and R codes are provided for public use.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06306
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Hybrid Algorithm for Computing a Partial Singular Value Decomposition Satisfying a Given Threshold
Baglama, James
Casillas, Jonathan A. Chávez
Perović, Vasilije
Numerical Analysis
In this paper, we describe a new hybrid algorithm for computing all singular triplets above a given threshold and provide its implementation in MATLAB/Octave and R. The high performance of our codes and ease at which they can be used, either independently or within a larger numerical scheme, are illustrated through several numerical examples with applications to matrix completion and image compression. Well-documented MATLAB and R codes are provided for public use.
title A Hybrid Algorithm for Computing a Partial Singular Value Decomposition Satisfying a Given Threshold
topic Numerical Analysis
url https://arxiv.org/abs/2407.06306