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, 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.
Question 1: I want all the eigenvectors in the eigenvalue range of sigma = 105 to 205. How can I do this in python?
Question 2: Is it possible to calculate all the eigenvalue and eigenvectors for this large matrix in python?
The application is specific to structural dynamics where the stiffness and mass matrix is of the same size (162000, 162000).