Summary: | Tests : precision-oriented tests | ||
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Product: | Eigen | Reporter: | Benoit Jacob <jacob.benoit.1> |
Component: | Tests | Assignee: | Nobody <eigen.nobody> |
Status: | RESOLVED DUPLICATE | ||
Severity: | Unknown | CC: | gael.guennebaud, jacob.benoit.1 |
Priority: | --- | ||
Version: | unspecified | ||
Hardware: | All | ||
OS: | All | ||
Whiteboard: | |||
Bug Depends on: | |||
Bug Blocks: | 814 |
Description
Benoit Jacob
2010-10-16 04:49:00 UTC
The situation has already been significantly improved. In particular, SVD and selfadjoint-eigenvalues unit tests are now pretty aggressive in terms of numerical robustness. In the future it would be nice to extend the approach taken for SVD to other decompositions. For sparse problems, we check the accuracy on a set of real-world problems. Still need to extend this set and automate its usage. Good enough for 3.3. For dense problems, implementing bug 62 should be enough, so I'm closing this entry. *** This bug has been marked as a duplicate of bug 62 *** -- 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/64. |