A harmonic Lanczos bidiagonalization method for computing interior singular triplets of large matrices
From MaRDI portal
Publication:433291
DOI10.1016/j.amc.2012.01.013zbMath1246.65065arXiv1001.3258OpenAlexW1973321137MaRDI QIDQ433291
Publication date: 13 July 2012
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1001.3258
algorithmsingular value decompositionnumerical experimentsharmonic Lanczos bidiagonalization methodharmonic shiftsimplicit restarting techniqueLanczos bidiagonalization processRayleigh quotient matrixsingular triplets
Related Items (5)
An implicitly restarted block Lanczos bidiagonalization method using Leja shifts ⋮ Computing the smallest singular triplets of a large matrix ⋮ Thick restarting the weighted harmonic Golub-Kahan-Lanczos algorithm for the linear response eigenvalue problem ⋮ On computing the minimum singular value of a tensor sum ⋮ On Inner Iterations of Jacobi--Davidson Type Methods for Large SVD Computations
Uses Software
Cites Work
- Unnamed Item
- A robust and efficient parallel SVD solver based on restarted Lanczos bidiagonalization
- Restarted block Lanczos bidiagonalization methods
- Polynomial characterizations of the approximate eigenvectors by the refined Arnoldi method and an implicitly restarted refined Arnoldi algorithm
- An implicit shift bidiagonalization algorithm for ill-posed systems
- Computing smallest singular triplets with implicitly restarted Lanczos bidiagonalization
- 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
- A Refined Harmonic Lanczos Bidiagonalization Method and an Implicitly Restarted Algorithm for Computing the Smallest Singular Triplets of Large Matrices
- A Block Lanczos Method for Computing the Singular Values and Corresponding Singular Vectors of a Matrix
- Implicit Application of Polynomial Filters in a k-Step Arnoldi Method
- An Implicitly Restarted Refined Bidiagonalization Lanczos Method for Computing a Partial Singular Value Decomposition
- Implicitly Restarted GMRES and Arnoldi Methods for Nonsymmetric Systems of Equations
- Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications
- The convergence of harmonic Ritz values, harmonic Ritz vectors and refined harmonic Ritz vectors
- Augmented Implicitly Restarted Lanczos Bidiagonalization Methods
This page was built for publication: A harmonic Lanczos bidiagonalization method for computing interior singular triplets of large matrices