The Efficient Generation of Random Orthogonal Matrices with an Application to Condition Estimators 论文
1980SIAM Journal on Numerical Analysis引用 377
Random Matrices and ApplicationsBayesian Methods and Mixture ModelsPoint processes and geometric inequalities
摘要
This paper presents a method for generating pseudo-random orthogonal matrices from the Haar distribution for the group of orthogonal matrices. The random matrices are expressed as products of $n - 1$ Householder transformations, which can be computed in $O(n^2 )$ time. The technique is used in an empirical study of two methods for estimating the condition number of a matrix.