[jira] [Resolved] (MATH-886) SingularValueDecomposition fails to calcuate matrix rank

["Thomas Neidhart (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Thomas Neidhart resolved MATH-886.
----------------------------------

    Resolution: Duplicate

The SVD implementation has been completely rewritten for the 3.0 release (see MATH-611).

The given test case work with the latest version of CM. It is advised to upgrade to the latest version of CM as there will be no further bugfix release for the 2.x branch.
                
> SingularValueDecomposition fails to calcuate matrix rank
> --------------------------------------------------------
>
>                 Key: MATH-886
>                 URL: https://issues.apache.org/jira/browse/MATH-886
>             Project: Commons Math
>          Issue Type: Bug
>    Affects Versions: 2.2
>         Environment: jdk1.6 on windows machine
>            Reporter: alberto trivellato
>             Fix For: 3.0
>
>
> for the matrix {{0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0},
>  {0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0},
>  {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0},
>  {1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0}}, SVD return rank=4, but it is 3.

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