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From "Dimitri Pourbaix (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MATH-333) eigenvectors computation is wrong when several vectors share the same eigenvalue
Date Thu, 11 Feb 2010 07:31:28 GMT

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

Dimitri Pourbaix updated MATH-333:
----------------------------------

    Attachment: MATH-333_320.patch

The attached file is the result 'svn diff' from trunk.

> 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
>
>         Attachments: EigenDecompositionImpl.java, MATH-333_320.patch, SingularValueDecompositionImpl.java
>
>
> 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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