Hello,
I would like to find all the eigenvectors within a specific eigenvalue range. The matrix i am dealing with is large sparse symmetric matrix with size 162000 by 162000. I am using
Eigenvalue,Eigenvector=scipy.sparse.linalg.eigsh(A,k=10,sigma=105 to 205)
I cannot use sigma=105 to 205, i have written just for understanding my purpose. I want all the eigenvectors in the eigenvalue range of sigma=105 to 205. How can i do this in python?
Any help will be appreciated.
Thank You,
Paul Thomas
You can use matlab for eigenvalue and eigevectors
follow the link
https://kr.mathworks.com/help/matlab/ref/eig.html
@Paul, try a deflection trick from Bruno Luong´s answer in
https://www.mathworks.com/matlabcentral/newsreader/view_thread/278527
I believe you can find the k largest or the k smallest eigenvalues (in absolute value) of the sparse matrix A in Python with that command. If we set B=A-155 I, then the eigenvalues of B with absolute value
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