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Bootstrapped block Lanczos for large-dimension eigenvalue problems

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Publication:6112688
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DOI10.1016/j.cpc.2023.108835zbMath1522.65053arXiv2210.15763OpenAlexW4381547409MaRDI QIDQ6112688

Ryan M. Zbikowski, Calvin W. Johnson

Publication date: 7 August 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.15763


zbMATH Keywords

eigensolverArnoldi methodsKrylov space methodnuclear many-body problem


Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)




Cites Work

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  • Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems
  • Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method
  • On the Rates of Convergence of the Lanczos and the Block-Lanczos Methods
  • Lanczos Algorithms for Large Symmetric Eigenvalue Computations
  • A greedy algorithm for computing eigenvalues of a symmetric matrix with localized eigenvectors


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