TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems
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Publication:4632005
DOI10.1137/17M1157568zbMath1431.65047arXiv1711.10128OpenAlexW2964305349WikidataQ128085717 ScholiaQ128085717MaRDI QIDQ4632005
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Publication date: 25 April 2019
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.10128
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18)
Related Items (4)
Preconditioners for Krylov subspace methods: An overview ⋮ Convergence rates of individual Ritz values in block preconditioned gradient-type eigensolvers ⋮ Hybrid Iterative Refined Method for Computing a Few Extreme Eigenpairs of a Symmetric Matrix ⋮ Hybrid Iterative Refined Method for Computing a Few Extreme Eigenpairs of a Symmetric Matrix
Uses Software
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