Applying parallel computer systems to solve symmetric tridiagonal eigenvalue problems
type: Item
instance of: scholarly article
title: Applying parallel computer systems to solve symmetric tridiagonal eigenvalue problems
zbMATH Open document ID: 0796.65044
DOI: 10.1016/0167-8191(92)90121-M
author: Mi Lu
author: Xiangzhen Qiao
published in: Parallel Computing
publication date: 1994-01-06T00:00:00Z
review text: An algorithm for the symmetric eigenvalue problem is given. It uses the advantages of the segmentation and the cyclic reduction methods. The proposed algorithm has a linear speed-up. Experimental results are given. These results are shown to achieve the expected performance. The relative efficiency of the proposed algorithm over the currently available algorithms is also discussed.
Mathematics Subject Classification ID: 65F15
Mathematics Subject Classification ID: 65Y05
Mathematics Subject Classification ID: 65Y20
zbMATH DE Number: 482219
zbMATH Keywords: numerical examples
zbMATH Keywords: parallel computation
zbMATH Keywords: symmetric eigenvalue problem
zbMATH Keywords: segmentation
zbMATH Keywords: cyclic reduction methods
zbMATH Keywords: algorithm
zbMATH Keywords: performance
zbMATH Keywords: efficiency
reviewed by: R. P. Tewarson
MaRDI profile type: Publication
full work available at URL: 0167-8191(92)90121-m
OpenAlex ID: W2094676092
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description: scientific article; zbMATH DE number 482219