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出 处:《高等学校计算数学学报》1999年第2期140-149,共10页Numerical Mathematics A Journal of Chinese Universities
基 金:自然科学基金;国防预研基金
摘 要:This paper presents a divide-and-conquer algorithm for solving eigenvalue problem of nonsymmetric matrices. The new algorithm bases on Languerre iteration. Theoretical analysis and Numerical results show that our algorithm is faster, and able to obtain more different eigenvalues than J. J. Dengarra’s algorithm presented in [1]. Above all, our afeorithm is well suitable to parallel implementation. Numerical results of parallel computing are also presented in this paper. The parallel efficiency is encouraging.This paper presents a divide-and-conquer algorithm for solving eigenvalue problem of nonsymmetric matrices. The new algorithm bases on Languerre iteration. Theoretical analysis and Numerical results show that our algorithm is faster, and able to obtain more different eigenvalues than J. J. Dengarra's algorithm presented in [1]. Above all, our afeorithm is well suitable to parallel implementation. Numerical results of parallel computing are also presented in this paper. The parallel efficiency is encouraging.
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