An invert-free Arnoldi method for computing interior eigenpairs of large matrices
From MaRDI portal
Publication:5297939
DOI10.1080/00207160701210331zbMath1125.65031OpenAlexW1979676293MaRDI QIDQ5297939
Publication date: 16 July 2007
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160701210331
numerical examplesinterior eigenproblemlarge symmetric matricesinvert-free Arnoldi methodshifted Krylov subspace method
Related Items (2)
A refined Arnoldi type method for large scale eigenvalue problems ⋮ A modified second-order Arnoldi method for solving the quadratic eigenvalue problems
Uses Software
Cites Work
- Unnamed Item
- Computing interior eigenvalues of large matrices
- An optimal bound for the spectral variation of two matrices
- Variations on Arnoldi's method for computing eigenelements of large unsymmetric matrices
- The refined harmonic Arnoldi method and an implicitly restarted refined algorithm for computing interior eigenpairs of large matrices
- A harmonic restarted Arnoldi algorithm for calculating eigenvalues and determining multiplicity
- An analysis of the Rayleigh--Ritz method for approximating eigenspaces
- Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems
- Sparse matrix test problems
- The Advantages of Inverted Operators in Rayleigh–Ritz Approximations
- Implicit Application of Polynomial Filters in a k-Step Arnoldi Method
- An Arnoldi code for computing selected eigenvalues of sparse, real, unsymmetric matrices
- ARPACK Users' Guide
- Implicitly Restarted GMRES and Arnoldi Methods for Nonsymmetric Systems of Equations
- Convergence of Restarted Krylov Subspaces to Invariant Subspaces
- The convergence of harmonic Ritz values, harmonic Ritz vectors and refined harmonic Ritz vectors
- Approximate solutions and eigenvalue bounds from Krylov subspaces
- A simpler GMRES
- A Jacobi–Davidson Iteration Method for Linear Eigenvalue Problems
- Harmonic projection methods for large non-symmetric eigenvalue problems
- Convergence of Polynomial Restart Krylov Methods for Eigenvalue Computations
- The principle of minimized iterations in the solution of the matrix eigenvalue problem
This page was built for publication: An invert-free Arnoldi method for computing interior eigenpairs of large matrices