Restarted block Lanczos bidiagonalization methods

From MaRDI portal
Publication:870765

DOI10.1007/s11075-006-9057-zzbMath1110.65027OpenAlexW2047811252MaRDI QIDQ870765

James Baglama, Lothar Reichel

Publication date: 15 March 2007

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-006-9057-z



Related Items

On the computation of a truncated SVD of a large linear discrete ill-posed problem, A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices, Split-and-combine singular value decomposition for large-scale matrix, An implicitly restarted block Lanczos bidiagonalization method using Leja shifts, Non-monotone algorithm for minimization on arbitrary domains with applications to large-scale orthogonal Procrustes problem, Projected Tikhonov regularization of large-scale discrete ill-posed problems, An augmented LSQR method, A compact heart iteration for low-rank approximations of large matrices, GCV for Tikhonov regularization by partial SVD, Explicit deflation in Golub-Kahan-Lanczos bidiagonalization methods, Eigenvalue Characterization and Computation for the Laplacian on General 2-D Domains, The minimal-norm Gauss-Newton method and some of its regularized variants, A harmonic Lanczos bidiagonalization method for computing interior singular triplets of large matrices, Structural Convergence Results for Approximation of Dominant Subspaces from Block Krylov Spaces, Computing the smallest singular triplets of a large matrix, Probabilistic upper bounds for the matrix two-norm, Fast computation of convolution operations via low-rank approximation, Augmented block Householder Arnoldi method, Analysis of directed networks via partial singular value decomposition and Gauss quadrature, An implicitly restarted Lanczos bidiagonalization method with refined harmonic shifts for computing smallest singular triplets, A cross-product approach for low-rank approximations of large matrices, PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations, na26, A Golub--Kahan Davidson Method for Accurately Computing a Few Singular Triplets of Large Sparse Matrices, Stable Computation of Generalized Matrix Functions via Polynomial Interpolation, Unnamed Item


Uses Software


Cites Work