A little while back, J.M. suggested using the Stewart algorithm for generating $n$ by $n$ pseudo random orthogonal matrices in $O(n^2)$ time. He further noted that this methodology is implemented in Nick Higham's matrix computation toolbox (matlab). Now this package contains a bunch of .m files. Could anyone direct me to which one implements the pseudorandom orthogonal matrix generator? Alternatively, would anyone know of a R implementation of this algorithm?

**Contents**hide

#### Best Answer

### Similar Posts:

- Solved – Random number-Set.seed(N) in R
- Solved – Random number-Set.seed(N) in R
- Solved – What exactly should be called “projection matrix” in the context of PCA
- Solved – Can neural network can be used to predict pseudo-random numbers
- Solved – Orthogonal sampling, latin hypercubes and low discrepancy sequences