Computing Interior Eigenvalues of Large Sparse Symmetric Matrices

被引：0

作者：

Dax A. ^{[1
]}

机构：

[1] Hydrological Service, P.O.B. 36118, Jerusalem

来源：

International Journal of Applied and Computational Mathematics | 2021年 / 7卷 / 6期

关键词：

Computing interior eigenvalues; Large sparse symmetric matrices; Monotonicity; Restarted Krylov methods; Semi-compact Heart iteration;

D O I：

10.1007/s40819-021-01170-8

中图分类号：

学科分类号：

摘要：

In this paper we present new restarted Krylov methods for calculating interior eigenvalues of large sparse symmetric matrices. The proposed methods are compact versions of the Heart iteration which are modified to retain the monotonicity property. Numerical experiments illustrate the usefulness of the proposed approach. © 2021, The Author(s).

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