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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"/>