Analyzing the convergence factor of residual inverse iteration
From MaRDI portal
Publication:657887
DOI10.1007/s10543-011-0336-2zbMath1247.65070OpenAlexW2071189202MaRDI QIDQ657887
Elias Jarlebring, Wim Michiels
Publication date: 10 January 2012
Published in: BIT (Search for Journal in Brave)
Full work available at URL: https://lirias.kuleuven.be/handle/123456789/278609
Related Items
Preconditioned Eigensolvers for Large-Scale Nonlinear Hermitian Eigenproblems with Variational Characterizations. II. Interior Eigenvalues ⋮ Disguised and new quasi-Newton methods for nonlinear eigenvalue problems ⋮ Local convergence analysis of several inexact Newton-type algorithms for general nonlinear eigenvalue problems ⋮ Broyden's Method for Nonlinear Eigenproblems ⋮ Convergence Orders of Iterative Methods for Nonlinear Eigenvalue Problems ⋮ Sylvester-based preconditioning for the waveguide eigenvalue problem ⋮ Local convergence of Newton-like methods for degenerate eigenvalues of nonlinear eigenproblems. I. Classical algorithms
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A block Newton method for nonlinear eigenvalue problems
- Stationary Schrödinger equations governing electronic states of quantum dots in the presence of spin-orbit splitting.
- Invariance properties in the root sensitivity of time-delay systems with double imaginary roots
- Nonlinear Rayleigh-Ritz iterative method for solving large scale nonlinear eigenvalue problems
- An Arnoldi method for nonlinear eigenvalue problems
- Iterative projection methods for computing relevant energy states of a quantum dot
- The solution of characteristic value-vector problems by Newton's method
- A minimax theory for overdamped systems
- NLEVP
- The Quadratic Arnoldi Method for the Solution of the Quadratic Eigenvalue Problem
- Residual Inverse Iteration for the Nonlinear Eigenvalue Problem
- Inverse Iteration, Ill-Conditioned Equations and Newton’s Method
- Nonlinear eigenvalue problems: a challenge for modern eigenvalue methods
- A GSVD formulation of a domain decomposition method forplanar eigenvalue problems
- Algorithms for the Nonlinear Eigenvalue Problem