block algorithm;
numerical rank;
rank-revealing QR factorization;
D O I:
10.1145/290200.287638
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
This article describes a suite of codes as well as associated testing and timing drivers for computing rank-revealing QR (RRQR) factorizations of dense matrices. The main contribution is an efficient block algorithm for approximating an RRQR factorization, employing a windowed version of the commonly used Golub pivoting strategy and improved versions of the RRQR algorithms for triangular matrices originally Suggested by Chandrasekaran and Ipsen and by Pan and Tang, respectively. We highlight usage and features of these codes.