Is it possible to make the result of LinearAlgebra.nullspace
as sparse as possible? How about when using the package Nemo for sparse matrices over \mathbb{R}?
Regardless of whether or not this is possible, what would be the theory behind this? From the documentation of LinearAlgebra.nullspace
, it’s based on the SVD of the matrix, but I’m not sure where the sparsity would come in, if that’s even possible.
Thanks!