Registered Member
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Hello everyone,
I wanted to know how was stored symmetric matrices currently. Is only the triangular part stored or does Eigen store the full matrix ? Thanks |
Moderator
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hi, currently we can only view a triangular part of dense matrix as a symmetric/selfadjoint matrix but in the future we plane to support compact triangular storage, in particular this one:
http://netlib.org/lapack/lapack-3.2.htm ... ked_format which allows to reuse efficient level 3 kernels. If you are interested all these changes are happening there: http://bitbucket.org/bjacob/eigen2_special_matrices/ |
Registered Member
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Is there any news/updates on the implementation of efficient storage of symmetric matrices?
Thanks |
Registered Member
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Nothing happened in that area, AFAIK.
Contributions welcome
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