New user self-registration is disabled due to spam. Please email eigen-core-team @ lists.tuxfamily.org if you need an account.
Before reporting a bug, please make sure that your Eigen version is up-to-date!
Bug 60 - Decompositions - kernel for given dimension
Summary: Decompositions - kernel for given dimension
Status: CONFIRMED
Alias: None
Product: Eigen
Classification: Unclassified
Component: General (show other bugs)
Version: unspecified
Hardware: All All
: Normal Feature Request
Assignee: Nobody
URL:
Whiteboard:
Keywords:
Depends on: 593
Blocks: 3.x
  Show dependency treegraph
 
Reported: 2010-10-16 04:42 UTC by Benoit Jacob
Modified: 2018-10-09 07:37 UTC (History)
3 users (show)



Attachments

Description Benoit Jacob 2010-10-16 04:42:37 UTC
n all rank-revealing decompositions, it would be nice to have a function to construct the kernel matrix for a prescribed dimension of the kernel. At the very least for SVD decompositions, where this would just be taking the n singular vectors associated to the n smallest singular values. In real-world use cases, this is the most useful way to get the kernel. The same idea should then be applied to image() for good measure. 

Then again, with the new SVD that we've been discussing, we'd get that for free (computation/application of U and V on demand).
Comment 1 Christoph Hertzberg 2014-06-20 11:02:30 UTC
Bug 593 is related and should be solved to make this useful.

Note You need to log in before you can comment on or make changes to this bug.