IRAM-based method for eigenpairs and their derivatives of large matrix-valued functions
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Publication:2889399
DOI10.1002/nla.740zbMath1245.65046OpenAlexW2017356953MaRDI QIDQ2889399
Publication date: 7 June 2012
Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nla.740
numerical experimentsArnoldi methodmatrix-valued functioneigenvector derivativelarge matrixeigenvalue derivative
Related Items (2)
Calculation of eigenpair derivatives for symmetric quadratic eigenvalue problem with repeated eigenvalues ⋮ Orthogonal projection method for eigenpair derivatives of large symmetric matrices
Uses Software
Cites Work
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- Multiple eigenvalue sensitivity analysis
- Matrix Algorithms
- Implicitly Restarted Arnoldi Methods and Subspace Iteration
- Derivatives of Eigenvalues and Eigenvectors of Matrix Functions
- Direct computation of derivatives of eigenvalues and eigenvectors
- Derivatives of eigenvalues and eigenvectors of a general complex matrix
- Computing Derivatives of Eigenvalues and Elgenvectors by Simultaneous Iteration
- Implicit Application of Polynomial Filters in a k-Step Arnoldi Method
- Simplified calculation of eigenvector derivatives
- New family of modal methods for calculating eigenvector derivatives
- Deflation Techniques for an Implicitly Restarted Arnoldi Iteration
- Iterative computation of derivatives of repeated eigenvalues and the corresponding eigenvectors
- Rates of change of eigenvalues and eigenvectors.
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