| Summary: | SparseQR matrixQ() to plain SparseMatrix | ||
|---|---|---|---|
| Product: | Eigen | Reporter: | Gael Guennebaud <gael.guennebaud> |
| Component: | Sparse | Assignee: | Desire NUENTSA <desire.nuentsa_wakam> |
| Status: | NEW --- | ||
| Severity: | Performance Problem | CC: | desire.nuentsa_wakam, simon.floery |
| Priority: | Normal | ||
| Version: | 3.2 | ||
| Hardware: | All | ||
| OS: | All | ||
| Whiteboard: | |||
| Bug Depends on: | |||
| Bug Blocks: | 814 | ||
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Description
Gael Guennebaud
2013-05-07 15:35:00 UTC
An evaluation to a plain sparse matrix is provided with this changeset https://bitbucket.org/eigen/eigen/commits/2403f1f7b8a7/ Changeset: 2403f1f7b8a7 User: dnuentsa Date: 2013-05-21 17:35:10 Summary: Fix bug 596 : Recover plain SparseMatrix from SparseQR matrixQ() Affected #: 5 files Let's differ the second part to 3.3:
> Also, investigate what need to be done to be able to exploit more features of
> the Householder module.
matrixQ() currently relies on SparseQR_QProduct which is implemented with dense RHS in mind. This makes matrixQ() quite inefficient. The solution is to extend SparseQR_QProduct to handle sparse RHS using the same approach than during the factorization. There is a nice opportunity for code sharing here. -- 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/596. |