commons-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Phil Steitz (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MATH-342) SVD crashes when applied to a strongly rectangular matrix (typical case of least-squares problem)
Date Sat, 03 Apr 2010 03:45:27 GMT

     [ https://issues.apache.org/jira/browse/MATH-342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Phil Steitz updated MATH-342:
-----------------------------

    Affects Version/s:     (was: Nightly Builds)
                       2.0
        Fix Version/s:     (was: Nightly Builds)
                       2.1

> SVD crashes when applied to a strongly rectangular matrix (typical case of least-squares
problem)
> -------------------------------------------------------------------------------------------------
>
>                 Key: MATH-342
>                 URL: https://issues.apache.org/jira/browse/MATH-342
>             Project: Commons Math
>          Issue Type: Bug
>    Affects Versions: 2.0
>            Reporter: Dimitri Pourbaix
>            Assignee: Dimitri Pourbaix
>             Fix For: 2.1
>
>
> When SVD is applied to a strongly rectangular matrix (number of rows way larger than
number of columns, typical case of least-squares problem), finite precision arithmetics shows
up:
>  - in EigenDecompositionImpl.isSymmetric: a by-definition symmetric matrix returns false;
>  - in EigenDecompositionImpl.findEigenVectors: too many iterations exception 

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.


Mime
View raw message