New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
norm method does not work for sparse matrices #10116
Comments
This comment has been minimized.
This comment has been minimized.
comment:2
Calculating the Frobenius norm also seems problematic with sparse matrices over higher precision floating point rings. As seen in the example below, sometimes it works and sometimes it doesn't. Note that the Frobenius norm can be calculated without using the SVD.
|
Changed upstream from Reported upstream. Little or no feedback. to Reported upstream. No feedback yet. |
comment:8
The lack of a sparse SVD can kill this in another way:
|
Upstream: Reported upstream. No feedback yet.
CC: @orlitzky
Component: linear algebra
Keywords: matrices
Author: Victor Miller
Issue created by migration from https://trac.sagemath.org/ticket/10116
The text was updated successfully, but these errors were encountered: