On 8/16/06, **Keith Goodman** <kwgoodman@gmail.com> wrote:

On 8/15/06, David Grant <davidgrant@gmail.com> wrote:

> My idea is (if I have time) to write an eigs-like function in python

> that will only perform a subset of what Matlab's eigs does for. It

> will, for example, compute a certain number of eigenvalues and

> eigenvectors for a real, sparse, symmetric matrix (the case I'm

> interested in)

Will it also work for a real, dense, symmetric matrix? That's the case

I'm interested in. But even if it doesn't, your work is great news for

numpy.

Real, dense, symmetric, well doesn't scipy already have something for this? I'm honestly not sure on the arpack side of things, I thought arpack was only useful (over other tools) for sparse matrices, I could be wrong.

--

David Grant

http://www.davidgrant.ca