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Jacobi rotation
New Fast and Accurate Jacobi Svd Algorithm: I
Applied Numerical Linear Algebra. Lecture 14
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale
Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture
New Fast and Accurate Jacobi Svd Algorithm: I. Lapack Working Note 169
Arxiv:1301.5758V3
New Fast and Accurate Jacobi Svd Algorithm: Ii. Lapack Working Note 170
Parallelization and Performance Optimization of Bioinformatics and Biomedical Applications Targeted to Advanced Computer Architectures
HP MLIB User's Guide
1. Introduction
Using Reconfigurable Computing Technology to Accelerate Matrix Decomposition and Applications Xinying Wang Iowa State University
Parallel Jacobi-Type Algorithms for the Singular and the Generalized Singular Value Decomposition
Arxiv:1907.08697V5 [Math.NA] 23 Mar 2021 Matrices [40, 44] and Fast Slepian Transforms [27]
The Singular Value Decomposition, Or SVD, Has a Long History with Many Improvements Over the Years, Both in Its Implementations and Algorithmically
Applied Numerical Linear Algebra. Lecture 14
Applied Numerical Linear Algebra. Lecture 14
Applied Mathematical Methods Contents I Contents II Contents
Module B - Eigenvalue and Singular Value Decompositions
Top View
Parallel Algorithms for the Singular Value Decomposition 119
Yet Another Introduction to Numerical Methods
Iterative Methods for the Eigenvalue Problem
Rutishauser Modifications of the Classical Jacobi Rotation