Superquadratic convergence of DLASQ for computing matrix singular values

作者:

Highlights:

摘要

DLASQ is a routine in LAPACK for computing the singular values of a real upper bidiagonal matrix with high accuracy. The basic algorithm, the so-called dqds algorithm, was first presented by Fernando–Parlett, and implemented as the DLASQ routine by Parlett–Marques. DLASQ is now recognized as one of the most efficient routines for computing singular values. In this paper, we prove the asymptotic superquadratic convergence of DLASQ in exact arithmetic.

论文关键词:65F15,Numerical linear algebra,Singular value,Bidiagonal matrix,DLASQ

论文评审过程:Received 30 September 2008, Revised 22 April 2009, Available online 17 July 2009.

论文官网地址:https://doi.org/10.1016/j.cam.2009.07.021