Eigenvector eigenvalue theory: the diagonalization of symmetric matrices using a least-squares optimized threshold method
type: Item
instance of: scholarly article
title: Eigenvector eigenvalue theory: the diagonalization of symmetric matrices using a least-squares optimized threshold method
zbMATH Open document ID: 0402.65023
DOI: 10.1016/0021-9991(78)90151-1
author: Robert R. Birge
author: Lynn M. Hubbard
published in: Journal of Computational Physics
publication date: 1978-01-01T00:00:00Z
Mathematics Subject Classification ID: 65F30
Mathematics Subject Classification ID: 65F15
zbMATH DE Number: 3624704
zbMATH Keywords: Diagonalization
zbMATH Keywords: Hermitian Matrices
zbMATH Keywords: Least-Squares Threshold Algorithm
zbMATH Keywords: Jacobi Method
zbMATH Keywords: Optimize Convergence
zbMATH Keywords: Simplify Programmatic Control
zbMATH Keywords: Minimize Roundoff Error
zbMATH Keywords: Numerical Results
MaRDI profile type: Publication
full work available at URL: 0021-9991(78)90151-1
OpenAlex ID: W2064210490
cites work: Q5674306
cites work: Q5591849
cites work: Q5574370
cites work: Computing Eigenvalues and Eigenvectors of a Symmetric Matrix on the ILLIAC
cites work: The Cyclic Jacobi Method for Computing the Principal Values of a Complex Matrix
cites work: Q5624527
description: scientific article; zbMATH DE number 3624704