Mailing-List: contact hama-dev-help@incubator.apache.org; run by ezmlm
Precedence: bulk
Reply-To: hama-dev@incubator.apache.org
Message-ID: <1451798848.648451270172007311.JavaMail.jira@brutus.apache.org>
Date: Fri, 2 Apr 2010 01:33:27 +0000 (UTC)
From: "Edward J. Yoon (JIRA)" <jira@apache.org>
To: hama-dev@incubator.apache.org
Subject: [jira] Updated: (HAMA-233) Solving linear solution with Conjugate
 Gradient Method
In-Reply-To: <1612282928.1259784380734.JavaMail.jira@brutus>
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit


     [ https://issues.apache.org/jira/browse/HAMA-233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Edward J. Yoon updated HAMA-233:
--------------------------------


move to examples

> 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

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