On structured componentwise condition numbers for Hamiltonian eigenvalue problems
type: Item
instance of: scholarly article
title: On structured componentwise condition numbers for Hamiltonian eigenvalue problems
zbMATH Open document ID: 1392.65090
author: Huai-An Diao
author: Jian Zhao
published in: Journal of Computational and Applied Mathematics
publication date: 2018-04-16T00:00:00Z
Mathematics Subject Classification ID: 65F15
Mathematics Subject Classification ID: 15A18
zbMATH DE Number: 6860280
zbMATH Keywords: Hamiltonian eigenvalue problems
zbMATH Keywords: condition number
zbMATH Keywords: componentwise
zbMATH Keywords: normwise
zbMATH Keywords: structured perturbations
MaRDI profile type: Publication
full work available at URL: j.cam.2017.11.039
OpenAlex ID: W2771316395
cites work: Q4917542
cites work: Matrix algorithms. Vol. 2: Eigensystems
cites work: Q3998482
cites work: Q5674306
cites work: Q4672103
cites work: On the condition of a complex eigenvalue under real perturbations
cites work: A contribution to the theory of condition
cites work: On componentwise condition numbers for eigenvalue problems with structured matrices
cites work: Structured Backward Error and Condition of Generalized Eigenvalue Problems
cites work: Eigenvalue condition numbers: zero-structured versus traditional.
cites work: Eigenvalues, pseudospectrum and structured perturbations
cites work: Structured Eigenvalue Condition Numbers
cites work: Structured Pseudospectra and the Condition of a Nonderogatory Eigenvalue
cites work: Eigenvalue patterned condition numbers: Toeplitz and Hankel cases
cites work: A numerically stable, structure preserving method for computing the eigenvalues of real Hamiltonian or symplectic pencils
cites work: Structured maximal perturbations for Hamiltonian eigenvalue problems
cites work: Perturbation of purely imaginary eigenvalues of Hamiltonian matrices under structured perturbations
cites work: A Chart of Backward Errors for Singly and Doubly Structured Eigenvalue Problems
cites work: A symplectic method for approximating all the eigenvalues of a Hamiltonian matrix
DOI: 10.1016/J.CAM.2017.11.039
description: scientific article; zbMATH DE number 6860280