[Lapackpp-devel] Computing a single eigenvector

[Cody P. <pla...@gm...>]

Hello,

I am using LAPACK++ with some very large symmetric matricies for which
I need to compute eigenvectors.  However, I only need the eigenvector
associated with the second smallest eigenvalue, rather than all
eigenvectors of the matrix.  Are there any LAPACK++ functions to
compute a single eigenvector? I have done some research on LAPACK
functions and the "expert" function SSYEVX allows for computation of a
range of indicies, rather than all eigenvalues/eigenvectors.  If I
were to modify the LAPACK++ source to implement this, are there any
naming conventions for the function or other considerations that I
should be aware of?

Thanks,

Cody