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 :
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