Generalized eigenvalue problems: Lanczos algorithm with a recursive partitioning method

被引:7
作者
Sundar, S [1 ]
Bhagavan, BK [1 ]
机构
[1] Indian Inst Technol, Dept Math, Kharagpur 721302, W Bengal, India
关键词
Krylov subspace; Lanczos algorithm; bisection method; recursive partitioning algorithm; generalized eigenvalue problem;
D O I
10.1016/S0898-1221(00)00077-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the computation of the smallest eigenvalues and the corresponding eigenvectors of the generalized eigenvalue problem using Lanczos algorithm with a recursive partitioning method as well as the Sturm sequence-bisection method have been discussed. We have also presented the comparison of the numerical results and the CPU-time between the above two methodologies. Our comparative study indicates that the Lanczos with a recursive partitioning method takes relatively less computing time than that of the Sturm sequence-bisection method. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:211 / 224
页数:14
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