1Math::ConvexHull(3)   User Contributed Perl Documentation  Math::ConvexHull(3)
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NAME

6       Math::ConvexHull - Calculate convex hulls using Graham's scan
7       (n*log(n))
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SYNOPSIS

10         use Math::ConvexHull qw/convex_hull/;
11         $hull_array_ref = convex_hull(\@points);
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DESCRIPTION

14       "Math::ConvexHull" is a simple module that calculates convex hulls from
15       a set of points in 2D space. It is a straightforward implementation of
16       the algorithm known as Graham's scan which, with complexity of
17       O(n*log(n)), is the fastest known method of finding the convex hull of
18       an arbitrary set of points.  There are some methods of eliminating
19       points that cannot be part of the convex hull. These may or may not be
20       implemented in a future version.
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22       The implementation cannot deal with duplicate points. Therefore, points
23       which are very, very close (think floating point close) to the previous
24       point are dropped since version 1.02 of the module.  However, if you
25       pass in randomly ordered data which contains duplicate points, this
26       safety measure might not help you. In that case, you will have to
27       remove duplicates yourself.
28
29   EXPORT
30       None by default, but you may choose to have the "convex_hull()"
31       subroutine exported to your namespace using standard Exporter
32       semantics.
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34   convex_hull() subroutine
35       "Math::ConvexHull" implements exactly one public subroutine which,
36       surprisingly, is called "convex_hull()". "convex_hull()" expects an
37       array reference to an array of points and returns an array reference to
38       an array of points in the convex hull.
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40       In this context, a point is considered to be a reference to an array
41       containing an x and a y coordinate. So an example use of
42       "convex_hull()" would be:
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44         use Data::Dumper;
45         use Math::ConvexHull qw/convex_hull/;
46
47         print Dumper convex_hull(
48         [
49           [0,0],     [1,0],
50           [0.2,0.9], [0.2,0.5],
51           [0,1],     [1,1],
52         ]
53         );
54
55         # Prints out the points [0,0], [1,0], [0,1], [1,1].
56
57       Please note that "convex_hull()" does not return copies of the points
58       but instead returns the same array references that were passed in.
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SEE ALSO

61       New versions of this module can be found on http://steffen-mueller.net
62       or CPAN.
63
64       After implementing the algorithm from my CS notes, I found the exact
65       same implementation in the German translation of Orwant et al,
66       "Mastering Algorithms with Perl". Their code reads better than mine, so
67       if you looked at the module sources and don't understand what's going
68       on, I suggest you have a look at the book.
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70       In early 2011, much of the module was rewritten to use the formulation
71       of the algorithm that was shown on the Wikipedia article on Graham's
72       scan at the time. This takes care of issues with including collinear
73       points in the hull.
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75       <http://en.wikipedia.org/wiki/Graham_scan>
76
77       One of these days, somebody should implement Chan's algorithm
78       instead...
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AUTHOR

81       Steffen Mueller, <smueller@cpan.org>
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84       Copyright (C) 2003-2011 by Steffen Mueller
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86       This library is free software; you can redistribute it and/or modify it
87       under the same terms as Perl itself, either Perl version 5.6 or, at
88       your option, any later version of Perl 5 you may have available.
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92perl v5.32.0                      2020-07-28               Math::ConvexHull(3)
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