[SciPy-user] question about using speigs.ARPACK_eigs
Thu Feb 5 14:13:29 CST 2009
I'm currently working with sparse matrix of a size of roughly 65K by 65K.
I'd like to compute the first 2 eigenvectors of this 65K x 65K matrix.
I've been told to use speigs.ARPACK_eigs:
# data_mat sizes
#256*256 = 65536
# i've noticed there's an assertion that will kill a call to this
function if the last argument is >=4
eigvals, eigvecs = speigs.ARPACK_eigs( data_mat.matvec,
Unfortunately, the function is only computing a result of 2x2 matrix.
I need a result that's a matrix with a height of, roughly, 65536 and a
width of 2.
Any recommendations or tips?
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