As mentioned before in another thread, maxima lacks numerical
computation of eigenvalues and eigenvectors.
I have now converted the LAPACK routine DGEEV which computes
eigenvalues and left and right eigenvectors for general real
matrices. I also have converted the LAPACK routine DGESDD and DGESVD
for SVD decomposition for general real matrices.
For those that care about such things, I'm soliciting ideas on what
you would like to see as the interface. The available (web)
documentation for SENAC is a bit limited on what that interface does,
so I don't know if we can follow that.
Are general real matrices enough? Do you want complex matrices as
well? What about LU decomposition and other matrix operations? What
about special matrices like symmetric matrices, banded matrices, etc.?
I won't promise I'll do any of these, but I am willing to add
eigenvalue/vectors and SVD for real general matrices. I just need
guidance on what people want.
Ray