The solution of large dense generalized eigenvalue problems on the Cray X-MP/24 with SSD
type: Item
instance of: scholarly article
title: The solution of large dense generalized eigenvalue problems on the Cray X-MP/24 with SSD
zbMATH Open document ID: 0619.65026
DOI: 10.1016/0021-9991(87)90178-1
author: Henry Krakauer
author: John Lewis
author: Horst Simon
author: Suhai Wei
author: Roger. G. Grimes
published in: Journal of Computational Physics
publication date: 1987-01-01T00:00:00Z
review text: Numerical results of an application of Lanczos' algorithm and methods used in the EISPACK code for eigenvalue problems \(Ax=\lambda Bx\) (a few eigenvalues and eigenvectors are required) are compared. The problems \(Ax=\lambda Bx\) are symmetric, but extremely large. In this paper is shown, that the Lanczos algorithm is generally faster.
reviewed by: L.Boubelíková
Mathematics Subject Classification ID: 65F15
zbMATH DE Number: 4005449
zbMATH Keywords: large dense generalized eigenvalue problems
zbMATH Keywords: EISPACK code
zbMATH Keywords: Lanczos algorithm
describes a project that uses: EISPACK
describes a project that uses: LINPACK
MaRDI profile type: Publication
full work available at URL: 0021-9991(87)90178-1
OpenAlex ID: W2053168940
cites work: Q3932291
cites work: Matrix eigensystem routines. EISPACK guide extension
cites work: Q3868672
cites work: Matrix eigensystem routines - EISPACK guide
description: scientific article; zbMATH DE number 4005449