LAPACK-Style Codes for Pivoted Cholesky and QR Updating

Hammarling, Sven and Higham, Nicholas J. and Lucas, Craig (2006) LAPACK-Style Codes for Pivoted Cholesky and QR Updating. [MIMS Preprint]

WarningThere is a more recent version of this item available.
[img] PDF

Download (126kB)


Routines exist in LAPACK for computing the Cholesky factorization of a symmetric positive definite matrix and in LINPACK there is a pivoted routine for positive semidefinite matrices. We present new higher level BLAS LAPACK-style codes for computing this pivoted factorization. We show that these can be many times faster than the LINPACK code. Also, with a new stopping criterion, there is more reliable rank detection and smaller normwise backward error. We also present algorithms that update the QR factorization of a matrix after it has had a block of rows or columns added or a block of columns deleted. This is achieved by updating the factors Q and R of the original matrix. We present some LAPACK-style codes and show these can be much faster than computing the factorization from scratch.

Item Type: MIMS Preprint
Uncontrolled Keywords: Cholesky factorization, QR factorization, complete pivoting, semidefinte matrices, matrix updating, LAPACK
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 15 Linear and multilinear algebra; matrix theory
Depositing User: Dr Craig Lucas
Date Deposited: 06 Oct 2006
Last Modified: 08 Nov 2017 18:18

Available Versions of this Item

Actions (login required)

View Item View Item