The compressed format of Eigen::SparseMatrix uses memory
For very sparse matrices with many zero columns (or rows) this becomes not usable.
I am interested in a compressed format with memory usage
What would be a good way to implement it ? I was thinking of using a sparse storage (i.e. kind of a SparseVector) for each column (or row) of the matrix. Would that be compatible with Eigen::SparseMatrixBase ?
*** This bug has been marked as a duplicate of bug 1179 ***
-- GitLab Migration Automatic Message --
This bug has been migrated to gitlab.com's GitLab instance and has been closed from further activity.
You can subscribe and participate further through the new bug through this link to our GitLab instance: https://gitlab.com/libeigen/eigen/issues/1353.