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