CONVERGENCE OF ALGORITHMS FOR FINDING EIGENVECTORS

CONVERGENCE OF ALGORITHMS FOR FINDING EIGENVECTORS

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摘要 In this paper we give a rigorous analysis of convergence of algorithms for finding eigenvectors of a real symmetric matrix. The algorithms are deterministic and our methods are very intuitive. In this paper we give a rigorous analysis of convergence of algorithms for finding eigenvectors of a real symmetric matrix. The algorithms are deterministic and our methods are very intuitive.

作者张俊华

出处《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2000年第4期355-361,共7页 应用数学学报（英文版）

关键词 EIGENVECTORS ALGORITHMS CONVERGENCE Eigenvectors, algorithms, convergence

分类号 O1 [理学—基础数学]

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1张俊华,陈翰馥.Convergence of algorithms used for principal component analysis[J].Science China(Technological Sciences),1997,40(6):597-604. 被引量：1
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1张俊华,陈翰馥.Convergence of algorithms used for principal component analysis[J].Science China(Technological Sciences),1997,40(6):597-604. 被引量：1
2He-yuanWang,Kai-taiLi.NUMERICAL APPROXIMATION OF TRANSCRITICAL SIMPLE BIFURCATION POINT OF THE NAVIER-STOKES EQUATIONS[J].Journal of Computational Mathematics,2004,22(4):501-508. 被引量：1
3Ju-liangZhang,Xiang-sunZhang,Yong-meiSu.Predictor-Corrector Smoothing Methods for Monotone LCP[J].Acta Mathematicae Applicatae Sinica,2004,20(4):557-572.

Acta Mathematicae Applicatae Sinica

2000年第4期

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CONVERGENCE OF ALGORITHMS FOR FINDING EIGENVECTORS

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