Zobrazeno 1 - 10
of 88
pro vyhledávání: '"lobpcg algorithm"'
Publikováno v:
Numerical Algorithms (2023)
The locally optimal block preconditioned conjugate gradient (LOBPCG) algorithm is a popular approach for computing a few smallest eigenvalues and the corresponding eigenvectors of a large Hermitian positive definite matrix A. In this work, we propose
Externí odkaz:
http://arxiv.org/abs/2302.12528
Autor:
Nottoli, Tommaso1 (AUTHOR), Giannì, Ivan1 (AUTHOR), Levitt, Antoine2 (AUTHOR), Lipparini, Filippo1 (AUTHOR) filippo.lipparini@unipi.it
Publikováno v:
Theoretical Chemistry Accounts: Theory, Computation, & Modeling. Aug2023, Vol. 142 Issue 8, p1-13. 13p.
Autor:
Knyazev, A. V.1 Andrew.Knyazev@cudenver.edu, Argentati, M. E.1 Merico.Argentati@cudenver.edu, Lashuk, I.1 Ilya.Lashuk@cudenver.edu, Ovtchinnikov, E. E.2 Evgueni.Ovtchinnikov@na-net.ornl.gov
Publikováno v:
SIAM Journal on Scientific Computing. 2007, Vol. 29 Issue 5, p2224-2239. 16p. 1 Diagram, 2 Charts, 3 Graphs.
In block eigenvalue algorithms, such as the subspace iteration algorithm and the locally optimal block preconditioned conjugate gradient (LOBPCG) algorithm, a large block size is often employed to achieve robustness and rapid convergence. However, us
Externí odkaz:
http://arxiv.org/abs/2409.05572
Akademický článek
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We examine and compare several iterative methods for solving large-scale eigenvalue problems arising from nuclear structure calculations. In particular, we discuss the possibility of using block Lanczos method, a Chebyshev filtering based subspace it
Externí odkaz:
http://arxiv.org/abs/2305.15552
Publikováno v:
Journal of Scientific Computing; Oct2024, Vol. 101 Issue 1, p1-25, 25p
Autor:
Cancès, Eric1,2 (AUTHOR), Herbst, Michael F.3 (AUTHOR), Kemlin, Gaspard1,2 (AUTHOR), Levitt, Antoine1,2 (AUTHOR) antoine.levitt@inria.fr, Stamm, Benjamin4 (AUTHOR)
Publikováno v:
Letters in Mathematical Physics. Feb2023, Vol. 113 Issue 1, p1-32. 32p.
Autor:
Garrigue, Louis1 (AUTHOR) louis.garrigue@enpc.fr
Publikováno v:
Archive for Rational Mechanics & Analysis. Aug2022, Vol. 245 Issue 2, p949-1003. 55p.
Autor:
YUJI NAKATSUKASA, TROPP, JOEL A.
Publikováno v:
SIAM Journal on Matrix Analysis & Applications; 2024, Vol. 45 Issue 2, p1183-1214, 32p