4
$\begingroup$

Consider a large sparse rectangular integer matrix. Is there a way to compute its exact rank that is better in terms of speed and/or memory usage compared to a dense matrix?

$\endgroup$
1
  • $\begingroup$ I think there are techniques using the so-called block Wiedemann approach. This paper may be relevant and/or contain relevant references. I do not know the literature on this subject very well, so this may also not be the most relevant paper. $\endgroup$
    – Bruno
    Commented Apr 13, 2021 at 16:44

0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Browse other questions tagged or ask your own question.