On expansion of search subspaces for large non-Hermitian eigenproblems

Author:

Wu Gang,Zhang Lu

Funder

National Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangsu Province

China University of Mining and Technology

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference33 articles.

1. The principle of minimized iterations in the solution of the matrix eigenvalue problem;Arnoldi;Quart. Appl. Math.,1951

2. Templates for the Solution of Algebraic Eigenvalue Problems: A Pratical Guide;Bai,2000

3. Test matrix collection for non-Hermitian eigenvalue problems;Bai,1997

4. A relaxation strategy for the Arnoldi method in eigenproblems;Bouras,2000

5. Inexact matrix–vector products in Krylov methods for solving linear systems: a relaxation strategy;Bouras;SIAM J. Matrix Anal. Appl.,2005

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1. Tensor-Krylov method for computing eigenvalues of parameter-dependent matrices;Journal of Computational and Applied Mathematics;2022-07

2. Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue Problems;SIAM Journal on Matrix Analysis and Applications;2022-04-13

3. Preconditioned inexact Newton-like method for large nonsymmetric eigenvalue problems;Numerical Algebra, Control & Optimization;2021

4. On the correction equation of the Jacobi–Davidson method;Linear Algebra and its Applications;2017-06

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