An accelerated conjugate gradient algorithm to compute low-lying eigenvalues — a study for the Dirac operator in SU(2) lattice QCD-Reference-Cited by-同舟云学术

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An accelerated conjugate gradient algorithm to compute low-lying eigenvalues — a study for the Dirac operator in SU(2) lattice QCD

Published:1996-01 Issue:1 Volume:93 Page:33-47
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Kalkreuter Thomas,Simma Hubert

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference21 articles.

1. Matrix Computations;Golub,1990

2. Computing eigenvalues of very large symmetric matrices - an implementation of a Lanczos algorithm with no reorthogonalization;Cullum;J. Comp. Phys.,1981

3. The computational efficiency of a new minimization algorithm for eigenvalue analysis;Geradin;J. Sound Vib.,1971

4. Optimal gradient minimization scheme for finite element eigenproblems;Fried;J. Sound Vib.,1972

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3. Solving the Bethe-Salpeter equation on massively parallel architectures;Computer Physics Communications;2021-10

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