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Posted to issues@commons.apache.org by "Thomas Neidhart (JIRA)" <ji...@apache.org> on 2012/11/09 22:05:12 UTC
[jira] [Commented] (MATH-886) SingularValueDecomposition fails to
calcuate matrix rank
[ https://issues.apache.org/jira/browse/MATH-886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13494311#comment-13494311 ]
Thomas Neidhart commented on MATH-886:
--------------------------------------
Tested with latest trunk:
{noformat}
double[][] data = {
{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}
};
RealMatrix m = MatrixUtils.createRealMatrix(data);
SingularValueDecomposition d = new SingularValueDecomposition(m);
System.out.println("Rank=" + d.getRank());
{noformat}
Result is: rank=3
> 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
>
> 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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