From 83245ee954cc501ff91b16e0f24d0b2069d9007b Mon Sep 17 00:00:00 2001
From: Thierry Moisan <thierry.moisan@gmail.com>
Date: Thu, 24 Jul 2008 11:21:09 -0400
Subject: [PATCH] Fixing an error in the Histogram POD

---
 Histogram.i | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Histogram.i b/Histogram.i
index 408fe6b..4eba65f 100644
--- a/Histogram.i
+++ b/Histogram.i
@@ -118,6 +118,8 @@ Here is a list of all the functions included in this module :
 
 =item C<gsl_histogram_set_ranges_uniform($h, $xmin, $xmax)> - This function sets the ranges of the existing histogram $h to cover the range $xmin to $xmax uniformly. The values of the histogram bins are reset to zero. The bin ranges are shown in the table below,
 
+=back
+
 =over
 
 =item  bin[0] corresponds to xmin <= x < xmin + d
@@ -198,6 +200,8 @@ The values of the ranges are formatted using range_format and the value of the b
 
 =item C<gsl_histogram_pdf_sample($p, $r)> -     This function uses $r, a uniform random number between zero and one, to compute a single random sample from the probability distribution $p. The algorithm used to compute the sample s is given by the following formula, s = range[i] + delta * (range[i+1] - range[i]) where i is the index which satisfies sum[i] <= r < sum[i+1] and delta is (r - sum[i])/(sum[i+1] - sum[i]).
 
+=back
+
 =head1 EXAMPLES
 
  The following example shows how to create a histogram with logarithmic bins with ranges [1,10), [10,100) and [100,1000).
-- 
2.11.4.GIT