Power iteration for eigenvectors decomposition - python

Asked Feb 25 '16 at 12:14

Active Feb 25 '16 at 12:18

Viewed 1,115 times

All I found about power method, was for the largest/smallest eigenvectors and eigenvalues. How can I compute all eigenvectors of a matrix ?

specifically, I'm trying to do that in python, but any resource regarding how to do that would be of great help.

edited Feb 25 '16 at 12:18

Idos

asked Feb 25 '16 at 12:14

matlabit

1

Numpy has this built in: http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.linalg.eig.html – Flavian Hautbois Feb 25 '16 at 12:17
I'm looking to do that with the power method iteration – matlabit Feb 25 '16 at 12:20
Anyways. got it: http://math.stackexchange.com/questions/1114777/approximate-the-second-largest-eigenvalue-and-corresponding-eigenvector-given – matlabit Feb 25 '16 at 12:24

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