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https://issues.apache.org/jira/browse/MATH-749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13817408#comment-13817408
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Gilles commented on MATH-749:
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bq. make a subpackage for each space, e.g. g.e.twod.hull.GrahamScan2D
+1
> Convex Hull algorithm
> ---------------------
>
> Key: MATH-749
> URL: https://issues.apache.org/jira/browse/MATH-749
> Project: Commons Math
> Issue Type: Sub-task
> Reporter: Thomas Neidhart
> Assignee: Thomas Neidhart
> Priority: Minor
> Labels: 2d, geometric
>
> It would be nice to have convex hull implementations for 2D/3D space. There
> are several known algorithms
> [http://en.wikipedia.org/wiki/Convex_hull_algorithms]:
> * Graham scan: O(n log n)
> * Incremental: O(n log n)
> * Divide and Conquer: O(n log n)
> * Kirkpatrick-Seidel: O(n log h)
> * Chan: O(n log h)
> The preference would be on an algorithm that is easily extensible for higher
> dimensions, so *Incremental* and *Divide and Conquer* would be prefered.
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