Keith Goodman wrote:
On 8/15/06, David Grant
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)
AFAIK, pysparse (in the sandbox) includes a module that implements a Jacobi-Davidson eigenvalue solver for the symmetric, generalised matrix eigenvalue problem (JDSYM). Did someone test pysparse ? Nils
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.
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