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

DOI10.1002/nla.2263zbMath1474.65088arXiv1904.09923OpenAlexW2963601828WikidataQ127435704 ScholiaQ127435704MaRDI QIDQ5206498

Koen Ruymbeek, Karl Meerbergen, Wim Michiels

Publication date: 18 December 2019

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.09923

zbMATH Keywords

symmetric matricesglobal approximationminimal eigenvaluegeneralized eigenvalue problems

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18)

Related Items (2)

Tensor-Krylov method for computing eigenvalues of parameter-dependent matrices ⋮ An efficient reduced‐order method for stochastic eigenvalue analysis

Uses Software

• Matlab

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