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https://issues.apache.org/jira/browse/HADOOP-4437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12644857#action_12644857
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Chris Douglas commented on HADOOP-4437:
---------------------------------------
Since it's in the examples, a few brief notes on the initialization of
HaltonSequence and on nextPoint would help orient readers. It doesn't need to
be a course in statistics- the existing code isn't, either- but even a sentence
or two on why PiEstimator is using it and perhaps a couple comments identifying
the variables would be helpful.
+1 on the patch, though; documentation is just a suggestion.
> Use qMC sequence to improve the accuracy of PiEstimator
> -------------------------------------------------------
>
> Key: HADOOP-4437
> URL: https://issues.apache.org/jira/browse/HADOOP-4437
> Project: Hadoop Core
> Issue Type: Improvement
> Components: examples
> Reporter: Tsz Wo (Nicholas), SZE
> Priority: Minor
> Attachments: 4437_20081019.patch
>
>
> Currently, PiEstimator uses java.util.Random to generate random 2d-points for
> estimating pi. The numbers generated by java.util.Random are uniformly
> distributed. The 2d-points generated tense to have clump and gap. So the
> accuracy of the estimated pi is low. The accuracy can be improved by using a
> quasi-Monte Carlo (qMC) sequence.
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