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Posted to issues@commons.apache.org by "Luc Maisonobe (JIRA)" <ji...@apache.org> on 2010/02/02 23:14:18 UTC

[jira] Updated: (MATH-333) eigenvectors computation is wrong when several vectors share the same eigenvalue

     [ https://issues.apache.org/jira/browse/MATH-333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Luc Maisonobe updated MATH-333:
-------------------------------

    Fix Version/s:     (was: 2.2)
                   2.1

This issue should really be fixed for 2.1

> eigenvectors computation is wrong when several vectors share the same eigenvalue
> --------------------------------------------------------------------------------
>
>                 Key: MATH-333
>                 URL: https://issues.apache.org/jira/browse/MATH-333
>             Project: Commons Math
>          Issue Type: Bug
>            Reporter: Luc Maisonobe
>             Fix For: 2.1
>
>
> A typical example is to decompose identity matrix. There is only one eigenvalue: 1.0. Instead of returning n different eigenvectors forming a complete vector base, the same vector is returned n times.

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