Calculating the minimal/maximal eigenvalue of symmetric parameterized matrices using projection

Author:

Ruymbeek Koen1ORCID,Meerbergen Karl1ORCID,Michiels Wim1ORCID

Affiliation:

1. Department of Computer Science KU Leuven Leuven Belgium

Funder

Onderzoeksraad, KU Leuven

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced algebraic substructuring for symmetric generalized eigenvalue problems;Numerical Linear Algebra with Applications;2022-10-17

2. An efficient reduced‐order method for stochastic eigenvalue analysis;International Journal for Numerical Methods in Engineering;2022-08-17

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

4. Subspace method for multiparameter‐eigenvalue problems based on tensor‐train representations;Numerical Linear Algebra with Applications;2022-03-09

5. Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer;Physical Review A;2022-03-09

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