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https://issues.apache.org/jira/browse/MAHOUT-310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jake Mannix updated MAHOUT-310:
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    Attachment: MAHOUT-310.patch

Patch has newly modified unit tests to test the symmetric case, and they pass 
(both for LanczosSolver and DistributedLanczosSolver).  This has not been 
tested on large sparse symmetric matrices for performance yet, as I don't have 
any such data sets to try it out on right now.

> LanczosSolver and DistributedLanczosSolver always assume rectangular input, 
> but should also handle symmetric eigensystems.
> --------------------------------------------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-310
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-310
>             Project: Mahout
>          Issue Type: Improvement
>    Affects Versions: 0.3
>            Reporter: Jake Mannix
>            Assignee: Jake Mannix
>         Attachments: MAHOUT-310.patch
>
>
> LanczosSolver calls inputMatrix.timesSquared(Vector) as it's Krylov 
> iteration, but for symmetric inputMatrix, it should chose to instead call 
> inputMatrix.times(Vector).
> Similarly for DistributedLanczosSolver, except in this case, 
> DistributedSparseRowMatrix actually needs to properly MapReduce implement 
> times(Vector) for this to work (which it should do anyways, instead of throw 
> UnsupportedOperationException as it does currently).

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