A Lanczos Algorithm for Computing Singular Values and Vectors of Large Matrices
- 1 June 1983
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in SIAM Journal on Scientific and Statistical Computing
- Vol. 4 (2) , 197-215
- https://doi.org/10.1137/0904015
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- Computing eigenvalues of very large symmetric matrices—An implementation of a Lanczos algorithm with no reorthogonalizationJournal of Computational Physics, 1981
- A Block Lanczos Method for Computing the Singular Values and Corresponding Singular Vectors of a MatrixACM Transactions on Mathematical Software, 1981
- Computing eigenvectors (and eigenvalues) of large, symmetric matrices using Lanczos tridiagonalizationPublished by Springer Nature ,1980
- LINPACK Users' GuidePublished by Society for Industrial & Applied Mathematics (SIAM) ,1979
- The simultaneous computation of a few of the algebraically largest and smallest eigenvalues of a large, sparse, symmetric matrixBIT Numerical Mathematics, 1978
- Matrix Eigensystem Routines — EISPACK GuideLecture Notes in Computer Science, 1976
- An adaptive numerical method for solving linear Fredholm integral equations of the first kindNumerische Mathematik, 1975
- Bidiagonalization of Matrices and Solution of Linear EquationsSIAM Journal on Numerical Analysis, 1974
- Computational Variants of the Lanczos Method for the EigenproblemIMA Journal of Applied Mathematics, 1972
- Calculating the Singular Values and Pseudo-Inverse of a MatrixJournal of the Society for Industrial and Applied Mathematics Series B Numerical Analysis, 1965