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https://issues.apache.org/jira/browse/HAMA-233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Edward J. Yoon updated HAMA-233:
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Component/s: (was: matrix)
examples
Affects Version/s: (was: 0.1.0)
0.2.0
Fix Version/s: (was: 0.1.0)
0.2.0
> Solving linear solution with Conjugate Gradient Method
> ------------------------------------------------------
>
> Key: HAMA-233
> URL: https://issues.apache.org/jira/browse/HAMA-233
> Project: Hama
> Issue Type: New Feature
> Components: examples
> Affects Versions: 0.2.0
> Reporter: Sangwon Seo
> Assignee: Sangwon Seo
> Priority: Minor
> Fix For: 0.2.0
>
> Attachments: HAMA-233_v01.patch
>
>
> For spase matrix, CG method is good in a way of iterative learning.
> This can be applied to many applications (MLP, descent gradient search,
> etc..) as a primitive, not even in linear solution.
> Related paper (From Carnegie Mellon, It presents in verry simple way to
> understand everything behind the CG) is as bellow.
> http://smiler82.springnote.com/pages/3827983/attachments/2558573
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