DocumentCode
1972819
Title
An efficient parallel algorithm design for symmetric triple diagonal eigenvalue
Author
Changhua, Chen ; Bin, Li
Author_Institution
Fengxian Branch Sch., Shanghai TV Univ., Shanghai, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
3816
Lastpage
3819
Abstract
Symmetric triple diagonal matrix has always been an active research field. It is of great significance to the theoretical study of computation and its practical application. Based on Jacobi transformation, the paper combines with the symmetric and triple diagonal, and introduces the computation of one-side Jacobi. Then it provides a one-side Jacobi parallel algorithm for symmetric triple diagonal eigenvalue, which has high efficiency by theoretical analysis and computation simulation.
Keywords
Jacobian matrices; eigenvalues and eigenfunctions; parallel algorithms; Jacobi transformation; parallel algorithm design; symmetric triple diagonal eigenvalue; Algorithm design and analysis; Computers; Educational institutions; Eigenvalues and eigenfunctions; Jacobian matrices; Robustness; Symmetric matrices; Jacobi transformation; one-side Jacobi; parallel computing; symmetric triple diagonal matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057021
Filename
6057021
Link To Document