If sigma is None, M is positive definite If sigma is specified, M is positive semi-definite. An array of k eigenvectors. Use scipy instead to work on sparse matrices. By using our site, you acknowledge that you have read and understand our Cookie Policy , Privacy Policy , and our Terms of Service. Can you add the error in the question? 
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Maximum number of Arnoldi update iterations allowed Default: For best results, the data type of M should be the same as that of A. If sigma is None, M is positive definite If sigma is specified, M is positive semi-definite. The currently converged eigenvalues and eigenvectors can be found as eigenvalues and eigenvectors attributes scipy.sparze.linalg the exception object.
For further details read its documentation spsolve. Where A is sparse and b is just regular column matrix. Can you add the error scipy.sparze.linalg the question? How can I use this linear solve still preserving the sparseness of A?. However when I do np.
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Sign up using Email and Password. How should I go about achieving this? See also eigsh eigenvalues and eigenvectors for symmetric matrix A svds singular value decomposition for a scipy.sparse.linalt A. Asked 2 years, 7 months ago.
Matthias 2, 9 9 gold badges scipy.aparse.linalg 30 silver badges 61 61 bronze badges. I'm resigning as a moderator from all Stack Exchange sites, effective today.
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If small eigenvalues are desired, consider using shift-invert mode for better performance. This is done internally via a sparse LU decomposition for an explicit matrix M, or via an iterative solver for a general linear operator. M must represent a real, symmetric matrix if A is real, and must represent a complex, hermitian matrix if A is complex.
For example it would work on a np. Improving the question-asking experience.
The reason is A is quite large about x and there are about 50 such matrices and so keeping it sparse for as long as possible is the way I'd prefer it.
Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. An array of k eigenvectors.
I hope my question makes sense. Relative accuracy for eigenvalues stopping criterion The default value of 0 implies machine precision.
python - How to use a sparse matrix in - Stack Overflow
Email Required, but never shown. Last updated on Sep 27, To work with scipy.sparse.linalh sparse matrix, you have to use scipy. The number of eigenvalues and eigenvectors desired. Sign up or log in Sign up using Google.
Post as a guest Name. How do we handle problem users? Active 2 years, 7 months ago.
Find eigenvalues near sigma using shift-invert mode. Stack Overflow works best with JavaScript enabled.
Use scipy instead to work on sparse matrices. You can do that using scipy.
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