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Posted to commits@commons.apache.org by tn...@apache.org on 2013/11/02 22:39:15 UTC

svn commit: r1538288 - /commons/proper/math/trunk/src/site/xdoc/userguide/random.xml

Author: tn
Date: Sat Nov  2 21:39:15 2013
New Revision: 1538288

URL: http://svn.apache.org/r1538288
Log:
Remove inaccessible link in userguide.

Modified:
    commons/proper/math/trunk/src/site/xdoc/userguide/random.xml

Modified: commons/proper/math/trunk/src/site/xdoc/userguide/random.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/site/xdoc/userguide/random.xml?rev=1538288&r1=1538287&r2=1538288&view=diff
==============================================================================
--- commons/proper/math/trunk/src/site/xdoc/userguide/random.xml (original)
+++ commons/proper/math/trunk/src/site/xdoc/userguide/random.xml Sat Nov  2 21:39:15 2013
@@ -246,8 +246,7 @@ RandomVectorGenerator generator = new So
 // Use the generator to generate vectors
 double[] randomVector = generator.nextVector();
 ... </source>
-    The figure below (created with <a href="../xref-test/org/apache/commons/math3/userguide/LowDiscrepancyGeneratorComparison.html">
-    LowDiscrepancyGeneratorComparison.java</a>) illustrates the unique properties of low-discrepancy sequences when generating N samples
+    The figure below illustrates the unique properties of low-discrepancy sequences when generating N samples
     in the interval [0, 1]. Roughly speaking, such sequences "fill" the respective space more evenly which leads to faster convergence in
     quasi-Monte Carlo simulations.<br/>
     <img src="../images/userguide/low_discrepancy_sequences.png" alt="Comparison of low-discrepancy sequences"/>