Accurate Singular Values of Bidiagonal Matrices

Type: Article

Publication Date: 1990-09-01

Citations: 348

DOI: https://doi.org/10.1137/0911052

Abstract

Computing the singular values of a bidiagonal matrix is the final phase of the standard algorithm for the singular value decomposition of a general matrix. A new algorithm that computes all the singular values of a bidiagonal matrix to high relative accuracy independent of their magnitudes is presented. In contrast, the standard algorithm for bidiagonal matrices may compute small singular values with no relative accuracy at all. Numerical experiments show that the new algorithm is comparable in speed to the standard algorithm, and frequently faster.

Locations

  • SIAM Journal on Scientific and Statistical Computing - View
  • CiteSeer X (The Pennsylvania State University) - View - PDF

Similar Works

Action Title Year Authors
+ More Accurate Bidiagonal Reduction for Computing the Singular Value Decomposition 2002 Jesse L. Barlow
+ Computing small singular values of bidiagonal matrices with guaranteed high relative accuracy: LAPACK working note number 3 1988 J. Demmel
W. Kahan
+ PDF Chat Computing Accurate Eigensystems of Scaled Diagonally Dominant Matrices 1990 Jesse L. Barlow
James Demmel
+ PDF Chat Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem 2020 Osni Marques
James Demmel
Paulo B. Vasconcelos
+ Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem 2018 Osni Marques
James Demmel
Paulo B. Vasconcelos
+ COMPUTING ACCURATE EIGENSYSTEMS OF SCALED DIAGONALLY 1990 Dominant Matrices
+ A qd-type method for computing generalized singular values of BF matrix pairs with sign regularity to high relative accuracy 2019 Rong Huang
+ Accurately Counting Singular Values of Bidiagonal Matrices and Eigenvalues of Skew-Symmetric Tridiagonal Matrices 1998 K.V. Fernando
+ Error analysis of the mdLVs algorithm for computing bidiagonal singular values 2012 Munehiro Nagata
Masashi Iwasaki
Yoshimasa Nakamura
+ Accurate Computations for Some Classes of Matrices 2014 J.M. Peña
+ Studies on algorithms and their implementations for fast and accurate singular value decomposition 2013 博己 豊川
+ Performance of a new scheme for bidiagonal singular value decomposition of large scale 2006 Masami Takata
Kinji Kimura
Masashi Iwasaki
Yoshimasa Nakamura
+ Accurate bidiagonal decomposition and computations with generalized Pascal matrices 2021 Jorge Delgado
Héctor Orera
J.M. Peña
+ Studies on methods for computing lower bounds of the minimal singular value of an upper bidiagonal matrix and their applications 2012 巧 山下
+ The Orthogonal qd-Algorithm 1997 U. von Matt
+ PDF Chat The Joint Bidiagonalization of a Matrix Pair with Inaccurate Inner Iterations 2024 Haibo Li
+ PDF Chat Computing singular values of diagonally dominant matrices to high relative accuracy 2008 Qiang Ye
+ Analysis of a QR Algorithm for Computing Singular Values 1995 S. Chandrasekaran
Ilse C. F. Ipsen
+ Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications 2000 Horst D. Simon
Hongyuan Zha
+ A skew-symmetric Lanczos bidiagonalization method for computing several largest eigenpairs of a large skew-symmetric matrix 2022 Jinzhi Huang
Zhongxiao Jia