FOM-inverse vector iteration method for computing a few smallest (largest) eigenvalues of pair (A, B)

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摘要

In this article a new method for computing a few smallest (largest) eigenvalues of, symmetric positive definite problem, AX = λBX is presented. This is a kind of an inner–outer iteration method. The implementation of the algorithm has been tested by numerical examples, the results show that the algorithm converges fast and works with high accuracy.

论文关键词:Eigenvalue,Symmetric matrix,FOM,Krylov subspace,Arnoldi,Deflation

论文评审过程:Available online 14 November 2006.

论文官网地址:https://doi.org/10.1016/j.amc.2006.10.019