A comparison of eigensolvers for large-scale 3D modal analysis using AMG-preconditioned iterative methods
- 14 June 2005
- journal article
- research article
- Published by Wiley in International Journal for Numerical Methods in Engineering
- Vol. 64 (2) , 204-236
- https://doi.org/10.1002/nme.1365
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Numerical comparison of iterative eigensolvers for large sparse symmetric positive definite matricesComputer Methods in Applied Mechanics and Engineering, 2002
- Evaluation of three unstructured multigrid methods on 3D finite element problems in solid mechanicsInternational Journal for Numerical Methods in Engineering, 2002
- Combination of Jacobi–Davidson and conjugate gradients for the partial symmetric eigenproblemNumerical Linear Algebra with Applications, 2001
- A review of algebraic multigridJournal of Computational and Applied Mathematics, 2001
- Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient MethodSIAM Journal on Scientific Computing, 2001
- Templates for the Solution of Algebraic Eigenvalue ProblemsPublished by Society for Industrial & Applied Mathematics (SIAM) ,2000
- ARPACK Users' GuidePublished by Society for Industrial & Applied Mathematics (SIAM) ,1998
- A Shifted Block Lanczos Algorithm for Solving Sparse Symmetric Generalized EigenproblemsSIAM Journal on Matrix Analysis and Applications, 1994
- The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matricesJournal of Computational Physics, 1975
- A method of gradients for the calculation of the characteristic roots and vectors of a real symmetric matrixJournal of Research of the National Bureau of Standards, 1951